
## Full Description
About The Role

We’re looking for experienced econometrics instructors to help evaluate and improve AI systems trained on quantitative economic reasoning and statistical analysis.

• Organization : Alignerr (Powered by Labelbox)

• Location : Remote

• Type : Hourly / Task-based Contract

• Compensation : $35-70 / hour

• Commitment : 10-40 hours / week

What You’ll Do

• Review and validate econometricquestions, models, and explanations used in AI training.

• Assess statistical accuracy, assumptions, and interpretation of results.

• Provide structured feedback to improve model reasoning and clarity.

• Apply real‑world teaching experience to identify errors and edge cases.

• Work independently and asynchronously to meet project deadlines.

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics.

• Strong understanding of regression, causal inference, and statistical methods.

• Able to clearly explain and evaluate quantitative reasoning.

• Comfortable reviewing structured, technical content.

Nice to Have

• Master’s or PhD in Economics or related field.

• Experience with statistical tools (R, Stata, Python).

• Familiarity with AI or model evaluation workflows.

Why Join Us

• Competitive pay and flexible remote work.

• Lead a team working on cutting‑edge AI projects.

• Exposure to advanced LLMs and how they’re trained.

• Freelance perks : autonomy, flexibility, and global collaboration.

• Potential for contract extension.

Application Process (Takes 10-15 min)

• Submit your resume

• Complete a short screening

• Project matching and onboarding

PS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

#J-18808-Ljbffr



## Qualifications
* This role has high ownership and requires deep technical problem-solving skills in production environments
* The most important qualification is not a specific language, but a strong understanding of how complex software systems actually behave in production
* Senior-level experience (minimum 5+ years)
* Passion for working with cutting-edge technologies in a fast-moving AI environment, including LLM-based workflows and pipelines
* Comfortable working independently in a fast-paced, evolving environment
* Strong debugging skills in complex, distributed systems with the ability to identify root causes when failures are ambiguous
* Solid understanding of how software behaves in production environments
* Experience designing and operating microservices, distributed systems, and databases
* Proven experience building and scaling high-availability services
* Core Technology Stack
* Python (primary language) - 5+ years
* Docker, Kubernetes, Helm - 5+ years
* CI/CD pipelines and testing frameworks (e.g., CircleCI)
* Exposure to AI/ML infrastructure, including tools such as MLflow and Triton
* Customer-facing experience, including proofs of concept (PoCs) or technical demos
* Experience with AI/ML infrastructure and orchestration, i.e., MLflow and Triton
* Cross-language debugging experience
* Familiarity with Rust
* Experience working with databases, NoSQL, multi-model, or graph databases
* Knowledge of Retrieval-Augmented Generation (RAG) and GraphRAG concepts
* Understanding of graph algorithms and graph-based data modeling
## Responsibilities
* Maintain, develop and stabilize AI infrastructure services
* Architect and implement foundational services and shared libraries that scale our entire AI infrastructure ecosystem
* Debug complex, non-obvious production issues across application, process, network, and memory layers
* Systematically analyze, isolate, and resolve failures in unclear scenarios
* Improve observability, profiling, and tracing across services
* Work with distributed microservices and internal platforms
* Operate and improve systems running on Docker, Kubernetes, and Helm
* Support CI/CD pipelines (CircleCI), testing, and security-relevant components
* Work with MLflow, Triton, and distributed Python modules
* Observability tools: metrics, logs, tracing, and profiling

## Full Description
Overview

Senior Software Engineer – AI Infrastructure at Arango

About Arango: Arango provides a trusted data foundation for the next wave of Enterprise AI with graph-based Contextual AI, transforming enterprise data into a System of Context that enables LLMs to deliver better outcomes at scale and cost efficiency. The Arango AI Data Platform offers a single, integrated environment to build and scale AI-powered applications, unifying graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs.

We’re a global team based in California and Cologne, united by curiosity, collaboration, and a passion for helping developers, data engineers, and technology leaders innovate faster and smarter with AI. We are trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, and we are a member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. If you’re excited about shaping the future of Contextual AI, come build with us.

Location

Only candidates in Europe will be considered.

About the Role

We are looking for a senior, hands-on software engineer to help maintain, stabilize, and debug our AI infrastructure. This role has high ownership and requires deep technical problem-solving skills in production environments. The most important qualification is not a specific language, but a strong understanding of how complex software systems actually behave in production.

Key Responsibilities

• Maintain, develop and stabilize AI infrastructure services

• Architect and implement foundational services and shared libraries that scale our entire AI infrastructure ecosystem.

• Debug complex, non-obvious production issues across application, process, network, and memory layers

• Systematically analyze, isolate, and resolve failures in unclear scenarios

• Improve observability, profiling, and tracing across services

• Work with distributed microservices and internal platforms

• Operate and improve systems running on Docker, Kubernetes, and Helm

• Support CI/CD pipelines (CircleCI), testing, and security-relevant components

• Work with MLflow, Triton, and distributed Python modules

Core Requirements

• Senior-level experience (minimum 5+ years)

• Passion for working with cutting-edge technologies in a fast-moving AI environment, including LLM-based workflows and pipelines

• Comfortable working independently in a fast-paced, evolving environment

• Strong debugging skills in complex, distributed systems with the ability to identify root causes when failures are ambiguous

• Solid understanding of how software behaves in production environments

• Experience designing and operating microservices, distributed systems, and databases

• Proven experience building and scaling high-availability services

Core Technology Stack

• Python (primary language) - 5+ years

• Docker, Kubernetes, Helm - 5+ years

• CI/CD pipelines and testing frameworks (e.g., CircleCI)

• Observability tools: metrics, logs, tracing, and profiling

• Exposure to AI/ML infrastructure, including tools such as MLflow and Triton

Nice to Have

• Customer-facing experience, including proofs of concept (PoCs) or technical demos

• Experience with AI/ML infrastructure and orchestration, i.e., MLflow and Triton

• Cross-language debugging experience

• Familiarity with Rust

• Experience working with databases, NoSQL, multi-model, or graph databases

• Knowledge of Retrieval-Augmented Generation (RAG) and GraphRAG concepts

• Understanding of graph algorithms and graph-based data modeling

Why Join ArangoDB

Our headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice.

The global minds of Arango team come from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation or gender identity, and from every age to apply to our positions. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement.



## Qualifications
* Minimum ten years of recent external management consulting experience delivering SAP advisory and implementation services across multiple industries, including at least two full lifecycle SAP Analytics implementations and demonstrated excellence in Datasphere and latest SAP Analytics technologies
* Bachelor's degree from an accredited college or university is required
* Experience in sales and business development including identifying opportunities, crafting proposals, and presenting integrated SAP Analytics (BDC and predecessor components) solutions aligned with client transformation goals, and proven experience in leading large-scale transformation programs involving complex architecture, global delivery teams, and extensive development scope
* Deep technical expertise in SAP BDC and SAP BTP, with hands-on experience in RICEFW development, CDS Views, Workflows, IDOCs, OData services, Fiori apps, BADIs, and BAPIs, and strong understanding of integration, data strategies, and intelligent automation across SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud (SAC), Databricks, Joule, and AI/ML platforms within enterprise environments
* Demonstrated ability to assess current-state architecture and design scalable, future-state solutions that integrate SAP technologies with broader enterprise platforms and data ecosystems, and experience in developing tenant strategy, data conversion strategy, reporting and analytics strategy, and enhancement strategy for SAP BDC implementations
* Strong program management skills including planning, risk and issue management, dependency tracking, and stakeholder communication across global teams, and exceptional leadership in delivery execution including backlog planning, sprint management, build, test, cutover, deployment, and hyper care phases
* Ability to travel up to 50–80%
* Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
* These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation
## Benefits
* KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges
* Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations
* In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle
* Available benefits are based on eligibility
* Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health
* Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year
* California Salary Range: $175100 - $279200
* KPMG offers a comprehensive compensation and benefits package
## Responsibilities
* Champion innovation within the SAP practice by developing BDC-based blueprints and technical reference material, Data & AI/ML-powered assets, leveraging Joule for intelligent automation, and representing KPMG at external conferences to build market eminence, and incorporate KPMG's functional and industry depth to co-innovate with SAP, creating differentiating market offerings in Data and AI
* Manage business development by identifying opportunities, crafting proposals, and presenting integrated enterprise solutions that highlight the value of SAP Business Data Cloud and its technical ecosystem including SAP BTP, SAP Datasphere, Databricks, SAP Analytics Cloud (SAC), integration with SAP Business Suite (S/4HANA and LoB solutions), and other relevant tools and platforms aligned with clients' broader technology stacks and transformation objectives
* Lead SAP-centric Data & Analytics tool selection and perform current-state assessment and discovery to define the to-be technology strategy, build the business case, and develop a transformation roadmap aligned with client objectives, and plan and manage large-scale SAP BDC programs to ensure on-time delivery, proactively addressing risks, issues, dependencies, and constraints across workstreams
* Oversee program design and architecture, guide clients through key design decisions by advising on options and their implications, and oversee backlog planning, build, testing, data cutover, deployment, and hypercare, and manage global delivery teams to execute complex initiatives involving hundreds of development objects
* Drive pricing strategy during sales pursuits, oversee project financials including forecasting, billing, and margin management, and consistently deliver EAC at or above the committed margin, and assess current-state architecture and design future-state solutions by integrating SAP BDC and technical services—including SAP BTP, Databricks, Enterprise Analytics and hyperscaler platforms, and AI/ML—into the client's broader enterprise technology landscape
* Lead SAP BDC tenant strategy, integration strategy, data conversion strategy, reporting and analytics strategy, and enhancement strategy leveraging SAP BTP and complementary technologies, with a particular focus on transitioning clients from legacy SAP technology to BDC, and lead strategic conversations with senior stakeholders to define the future-state vision for managing business performance across financial, operational, engagement, and workforce dimensions, leveraging SAP BDC and Joule / AI capabilities to deliver actionable insights aligned with growth and transformation objectives
* Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

## Full Description
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Director, BDC AI/ML Lead to join our Advisory Services practice.

Responsibilities:

• Champion innovation within the SAP practice by developing BDC-based blueprints and technical reference material, Data & AI/ML-powered assets, leveraging Joule for intelligent automation, and representing KPMG at external conferences to build market eminence, and incorporate KPMG's functional and industry depth to co-innovate with SAP, creating differentiating market offerings in Data and AI

• Manage business development by identifying opportunities, crafting proposals, and presenting integrated enterprise solutions that highlight the value of SAP Business Data Cloud and its technical ecosystem including SAP BTP, SAP Datasphere, Databricks, SAP Analytics Cloud (SAC), integration with SAP Business Suite (S/4HANA and LoB solutions), and other relevant tools and platforms aligned with clients' broader technology stacks and transformation objectives

• Lead SAP-centric Data & Analytics tool selection and perform current-state assessment and discovery to define the to-be technology strategy, build the business case, and develop a transformation roadmap aligned with client objectives, and plan and manage large-scale SAP BDC programs to ensure on-time delivery, proactively addressing risks, issues, dependencies, and constraints across workstreams

• Oversee program design and architecture, guide clients through key design decisions by advising on options and their implications, and oversee backlog planning, build, testing, data cutover, deployment, and hypercare, and manage global delivery teams to execute complex initiatives involving hundreds of development objects

• Drive pricing strategy during sales pursuits, oversee project financials including forecasting, billing, and margin management, and consistently deliver EAC at or above the committed margin, and assess current-state architecture and design future-state solutions by integrating SAP BDC and technical services—including SAP BTP, Databricks, Enterprise Analytics and hyperscaler platforms, and AI/ML—into the client's broader enterprise technology landscape

• Lead SAP BDC tenant strategy, integration strategy, data conversion strategy, reporting and analytics strategy, and enhancement strategy leveraging SAP BTP and complementary technologies, with a particular focus on transitioning clients from legacy SAP technology to BDC, and lead strategic conversations with senior stakeholders to define the future-state vision for managing business performance across financial, operational, engagement, and workforce dimensions, leveraging SAP BDC and Joule / AI capabilities to deliver actionable insights aligned with growth and transformation objectives

• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum ten years of recent external management consulting experience delivering SAP advisory and implementation services across multiple industries, including at least two full lifecycle SAP Analytics implementations and demonstrated excellence in Datasphere and latest SAP Analytics technologies

• Bachelor's degree from an accredited college or university is required

• Experience in sales and business development including identifying opportunities, crafting proposals, and presenting integrated SAP Analytics (BDC and predecessor components) solutions aligned with client transformation goals, and proven experience in leading large-scale transformation programs involving complex architecture, global delivery teams, and extensive development scope

• Deep technical expertise in SAP BDC and SAP BTP, with hands-on experience in RICEFW development, CDS Views, Workflows, IDOCs, OData services, Fiori apps, BADIs, and BAPIs, and strong understanding of integration, data strategies, and intelligent automation across SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud (SAC), Databricks, Joule, and AI/ML platforms within enterprise environments

• Demonstrated ability to assess current-state architecture and design scalable, future-state solutions that integrate SAP technologies with broader enterprise platforms and data ecosystems, and experience in developing tenant strategy, data conversion strategy, reporting and analytics strategy, and enhancement strategy for SAP BDC implementations

• Strong program management skills including planning, risk and issue management, dependency tracking, and stakeholder communication across global teams, and exceptional leadership in delivery execution including backlog planning, sprint management, build, test, cutover, deployment, and hyper care phases

• Ability to travel up to 50–80%

• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M132_2_25

California Salary Range: $175100 - $279200

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.



## Qualifications
* You don't just build solutions; you leverage the best of technologies Google Cloud has to offer for client requirements, helping clients break free from legacy solution mindset and practices to build truly modern, value-driven software products on Google Cloud
* A passionate, hands-on GCP specialist/practitioner who understands that great software is not just about elegant code, but about solving real problems leveraging the best technology tools available for a client
* You are as comfortable building a multi-agent workflow on Vertex AI as you are testing a solution built by other team members in a compressed timeline, leveraging the various tools and technologies of Google Cloud
* You have a consultative mindset and a deep curiosity to understand the "why" behind a client's business requirements and convert them to an optimal technology solution
* You are an evangelist for modern ways of working, grounded in the principles of Product-Led engineering and operating models and related approaches
* You are an exceptional communicator, great team player, continuous learner and a true believer in continual change
* Minimum of 3 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant)
* Minimum of 3 years of deep, hands-on experience architecting and building solutions on GCP
* Minimum of 2 years of proven experience with Application Modernization, Call Center AI and/or Agentic AI solutions leveraging Google Cloud technologies
* Minimum of 2 years of experience interacting with project team members distributed across the globe
* Well versed in project management methodologies and product/project testing methodologies
* Bachelor's degree in Computer Science, Engineering, or a related field or equivalent (minimum 12 years) work experience
* (If Associate’s Degree, must have minimum 6 years work experience)
* Product & Agile Mindset: Hands-on experience working within a Product Operating Model
* Practical experience in delivering agile projects, contributing to sprint-based deliverables and outcomes
* Consulting & Innovation Acumen: Experience participating in client-facing innovation workshops and converting ideas into outcome-focused solutions
* World-class communication skills to articulate project status and delivery challenges and issues to project leadership and client audiences
* Agentic AI & Software Product Engineering: Proven experience architecting and building agentic workflows using Vertex AI
* Deep understanding of agentic components, including reasoning engines, planning, tool use, and Retrieval-Augmented Generation (RAG)
* Hands-on expertise with Google's Gemini models
* A commitment to software engineering best practices, including CI/CD, automated testing, and building secure, scalable products
* Technical Depth: Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, GenAI Leader)
* Project experience across the GCP ecosystem, including GKE, BigQuery, Vertex AI, CES, Apigee, and other GCP technologies
* Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
## Benefits
* Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off
* Role Location Annual Salary Range
* California $70,350 to $196,000
* Cleveland $59,100 to $156,800
* Colorado $63,800 to $169,300
* Massachusetts $63,800 to $180,300
* Minnesota $63,800 to $169,300
* New York $66,300 to $196,000
* New Jersey $68,000 to $196,000
## Responsibilities
* As a GCP Agentic AI Delivery Engineer, you will be a technical and product-centric engineer in consulting and engineering projects, customizing Google Cloud Agentic solutions for client requirements
* You will partner with Accenture's global delivery teams by providing superior technical expertise and product innovation skills
* Your role is to execute complex technology solutions for our clients by designing, building, and demonstrating Agentic AI solutions
* You will act as a trusted team player, guiding others in the team on how to adopt a Product Engineering mindset and be the expert on specific Google Cloud technologies/products
* Outcome-Driven Design and Build: Actively participate in technical discovery workshops to translate client business requirements into GCP technology design elements and customized solutions
* Design, build, test and deploy innovative, agentic-first solutions on GCP that are directly tied to the client business requirements
* Hands-On Development & Proof-of-Value: Rapidly design, build, and present compelling proof-of-concept (POC) solutions that bring your Google Cloud proficiency to workable solutions
* Product-Led Project delivery: Act as an agile SME/coach on modern software development
* Guide and enable the delivery team on the principles of the Product Agile Operating Model and how to structure delivery sprints for continuous delivery using Google Cloud Technologies
* Team Collaboration: Ability to travel as needed for project meetings, workshops, client discussions, etc., Working with global teams and leveraging the various collaborative tools and channels for project delivery and status reporting
* Travel may be required for this role
* The amount of travel will vary from 0 to 100% depending on business need and client requirements

## Full Description
We are:

A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 70,000 cloud professionals delivers a fullstack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.

About the Role: Building the Future in the Age of Agents

Join the elite technical and product engine of the Accenture Google Business Group (AGBG). We are not a traditional project delivery organization; we are a practice of innovators and builders guiding our clients through the most significant shift in technology: the move to Agentic AI and Product-Led Operating Models. As a Google Cloud Platform (GCP) Agentic AI Delivery Engineer, you are a new breed of technologist—a "product-minded engineer" who is as fluent in the language of code as you are in the language of customer outcomes. You don't just build solutions; you leverage the best of technologies Google Cloud has to offer for client requirements, helping clients break free from legacy solution mindset and practices to build truly modern, value-driven software products on Google Cloud.

You Are:

A passionate, hands-on GCP specialist/practitioner who understands that great software is not just about elegant code, but about solving real problems leveraging the best technology tools available for a client. You are as comfortable building a multi-agent workflow on Vertex AI as you are testing a solution built by other team members in a compressed timeline, leveraging the various tools and technologies of Google Cloud. You have a consultative mindset and a deep curiosity to understand the "why" behind a client's business requirements and convert them to an optimal technology solution. You are an evangelist for modern ways of working, grounded in the principles of Product-Led engineering and operating models and related approaches. You are an exceptional communicator, great team player, continuous learner and a true believer in continual change.

The Work:

As a GCP Agentic AI Delivery Engineer, you will be a technical and product-centric engineer in consulting and engineering projects, customizing Google Cloud Agentic solutions for client requirements. You will partner with Accenture's global delivery teams by providing superior technical expertise and product innovation skills. Your role is to execute complex technology solutions for our clients by designing, building, and demonstrating Agentic AI solutions. You will act as a trusted team player, guiding others in the team on how to adopt a Product Engineering mindset and be the expert on specific Google Cloud technologies/products.

Key Responsibilities:

• Outcome-Driven Design and Build: Actively participate in technical discovery workshops to translate client business requirements into GCP technology design elements and customized solutions. Design, build, test and deploy innovative, agentic-first solutions on GCP that are directly tied to the client business requirements.

• Hands-On Development & Proof-of-Value: Rapidly design, build, and present compelling proof-of-concept (POC) solutions that bring your Google Cloud proficiency to workable solutions. This includes hands-on software engineering using Vertex AI, Gemini/Agentic AI, BigQuery, Google Data technologies, Terraform, and modern CI/CD practices.

• Product-Led Project delivery: Act as an agile SME/coach on modern software development. Guide and enable the delivery team on the principles of the Product Agile Operating Model and how to structure delivery sprints for continuous delivery using Google Cloud Technologies.

• Team Collaboration: Ability to travel as needed for project meetings, workshops, client discussions, etc., Working with global teams and leveraging the various collaborative tools and channels for project delivery and status reporting.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 3 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant).

• Minimum of 3 years of deep, hands-on experience architecting and building solutions on GCP.

• Minimum of 2 years of proven experience with Application Modernization, Call Center AI and/or Agentic AI solutions leveraging Google Cloud technologies.

• Minimum of 2 years of experience interacting with project team members distributed across the globe. Well versed in project management methodologies and product/project testing methodologies.

• Bachelor's degree in Computer Science, Engineering, or a related field or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Bonus points if you have

• Product & Agile Mindset: Hands-on experience working within a Product Operating Model. Practical experience in delivering agile projects, contributing to sprint-based deliverables and outcomes.

• Consulting & Innovation Acumen: Experience participating in client-facing innovation workshops and converting ideas into outcome-focused solutions. World-class communication skills to articulate project status and delivery challenges and issues to project leadership and client audiences.

• Agentic AI & Software Product Engineering: Proven experience architecting and building agentic workflows using Vertex AI. Deep understanding of agentic components, including reasoning engines, planning, tool use, and Retrieval-Augmented Generation (RAG). Hands-on expertise with Google's Gemini models. A commitment to software engineering best practices, including CI/CD, automated testing, and building secure, scalable products.

• Technical Depth: Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, GenAI Leader). Project experience across the GCP ecosystem, including GKE, BigQuery, Vertex AI, CES, Apigee, and other GCP technologies.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 01/24/2026 and open for at least 3 days.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $196,000

Cleveland $59,100 to $156,800

Colorado $63,800 to $169,300

District of Columbia $68,000 to $180,300

Illinois $59,100 to $169,300

Maryland $63,800 to $169,300

Massachusetts $63,800 to $180,300

Minnesota $63,800 to $169,300

New York $66,300 to $196,000

New Jersey $68,000 to $196,000

Washington $80,200 to $180,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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## Qualifications
* The ideal candidate has deep customer empathy, technical fluency in AI/ML, and the ability to translate complex technical capabilities into clear business value
* Experience: 5+ years in customer success, program management, or strategic consulting driving technology implementations for Fortune 500 / Global 2000 clients
* Proven track record managing complex enterprise projects (preferably in AI, data, or software consulting) with cross-functional teams
* Technical Fluency: Solid understanding of AI/ML concepts and enterprise technology environments
* Comfortable discussing LLMs, AI agents, data integration, and software development processes with technical teams
* Creative problem-solving skills to synthesize client pain points into innovative AI solutions (e.g. identifying high-value use cases and quick wins)
* Strategic Business Acumen: Experience developing business cases, conducting ROI analysis, and shaping strategic roadmaps in collaboration with senior executives
* Able to quantify business impact of solutions and articulate the AI value proposition in terms of revenue, efficiency, or other KPIs
* Executive presence with ability to confidently present to C-suite and influence senior stakeholders
* Experience managing diverse stakeholders (from technical engineers to non-technical business owners) and achieving consensus
* Cross-cultural competence – able to work effectively across global time zones and adapt to different corporate cultures
* Project Leadership: Strong project management skills (timelines, risk management, documentation) with attention to detail and organization
* Comfortable leading without formal authority – this role is an individual contributor, but you must galvanize and guide teams toward a common goal
* Mindset: Results-oriented, with a passion for customer success and a “owner” mentality for client outcomes
* Highly adaptable and comfortable with ambiguity – you thrive in a fast-moving environment and can adjust plans on the fly as new insights emerge
* Low ego team player who builds trust through collaboration, empathy, and delivering on promises
* A proactive self-starter who takes initiative to solve problems and continuously seeks to learn new technologies and best practices in the AI field
* Travel: Willingness to travel to client sites on an as-needed basis (approximately 10–25%)
* You may need to be on-site for key workshops, trainings, or deployment milestones to deepen relationships and ensure success (far less travel than a typical consulting role, but flexibility is expected)
* Every engagement requires creative thinking and offers a new learning opportunity
## Benefits
* You’ll function as a strategic advisor to our clients, not just a project manager, and have a seat at the table for high-level technology decisions
## Responsibilities
* As the primary point of contact for 4–6 enterprise implementations, you will act as a trusted advisor and individual contributor with cross-functional leadership – orchestrating teams of solution architects and engineers to deliver transformational results
* You’ll balance strategic planning, hands-on project delivery, and ongoing relationship management across US, UK, and European time zones (with on-site client visits as needed)
* Strategic Partnership & Value Realization: Own customer success outcomes (retention, expansion, and time-to-value) for your portfolio of enterprise clients
* Develop and execute comprehensive success plans aligned to each client’s business objectives and KPIs
* Lead regular business reviews (QBRs) to demonstrate measurable ROI and identify new opportunities for expansion
* Serve as a strategic partner to C-level stakeholders, continuously evolving their AI roadmap based on emerging capabilities and business needs
* Implementation Excellence & Risk Management: Oversee end-to-end AI project delivery – from initial proof-of-concept to full production deployment – ensuring projects are completed on time and on budget
* Meticulously project manage deliverables, timelines, and resources for each implementation
* Proactively identify and mitigate technical or organizational risks that could impact success
* Facilitate collaborative design-thinking workshops with solution architects to map user journeys and optimize workflows for AI integration
* Maintain clear communication and manage expectations with client teams throughout complex deployments, quickly addressing issues or blockers while sustaining client trust
* Cross-Functional Orchestration: Lead and coordinate integrated project teams that include Lyzr’s Solution Architects, Applied AI Engineers, and key client stakeholders
* Act as the liaison between business and technology – translating business requirements into technical specifications (and vice versa) to ensure the solution meets real-world needs
* Continuously remove obstacles and escalate technical issues to engineering leadership when needed, all while keeping projects on track
* Partner with Sales on identifying expansion or upsell opportunities, including supporting contract renewals and negotiations when additional solutions or services can add value
* Able to credibly translate complex technical concepts into business implications for executive audiences, and vice versa
* Design Thinking: Demonstrated ability to conduct user journey mapping, workflow analysis, and UI/UX feedback sessions in an enterprise context
* Communication & Stakeholder Management: Exceptional English communication skills, both written and verbal
* Your success in this role will be measured by tangible customer outcomes and account growth
* Key metrics include customer retention, net revenue retention or expansion, on-time implementation delivery, and client satisfaction (CSAT) scores
* Meeting or exceeding these goals by driving real client ROI is how you’ll shine

## Full Description
About the Company

Lyzr AI is a rapidly growing provider of enterprise AI agent solutions, combining a full-stack agentic AI platform with expert engineering services to deliver custom AI systems for Fortune 500 clients. We partner deeply with clients to build and deploy AI agents from scratch that transform complex business workflows, rather than offering a one-size-fits-all SaaS product.

Aboutthe Role

We are seeking a Customer Success & Delivery Manager to drive measurable business outcomes for enterprise clients implementing Lyzr’s AI agent solutions. This role is a hybrid of Customer Success, Project Management, and Strategic Consulting, ensuring clients achieve significant ROI from their AI investments while building long-term partnerships. As the primary point of contact for 4–6 enterprise implementations, you will act as a trusted advisor and individual contributor with cross-functional leadership – orchestrating teams of solution architects and engineers to deliver transformational results. You’ll balance strategic planning, hands-on project delivery, and ongoing relationship management across US, UK, and European time zones (with on-site client visits as needed). The ideal candidate has deep customer empathy, technical fluency in AI/ML, and the ability to translate complex technical capabilities into clear business value.

Responsibilities

• Strategic Partnership & Value Realization: Own customer success outcomes (retention, expansion, and time-to-value) for your portfolio of enterprise clients. Develop and execute comprehensive success plans aligned to each client’s business objectives and KPIs. Lead regular business reviews (QBRs) to demonstrate measurable ROI and identify new opportunities for expansion. Serve as a strategic partner to C-level stakeholders, continuously evolving their AI roadmap based on emerging capabilities and business needs.

• Implementation Excellence & Risk Management: Oversee end-to-end AI project delivery – from initial proof-of-concept to full production deployment – ensuring projects are completed on time and on budget. Meticulously project manage deliverables, timelines, and resources for each implementation. Proactively identify and mitigate technical or organizational risks that could impact success. Facilitate collaborative design-thinking workshops with solution architects to map user journeys and optimize workflows for AI integration. Maintain clear communication and manage expectations with client teams throughout complex deployments, quickly addressing issues or blockers while sustaining client trust.

• Cross-Functional Orchestration: Lead and coordinate integrated project teams that include Lyzr’s Solution Architects, Applied AI Engineers, and key client stakeholders. Act as the liaison between business and technology – translating business requirements into technical specifications (and vice versa) to ensure the solution meets real-world needs. Continuously remove obstacles and escalate technical issues to engineering leadership when needed, all while keeping projects on track. Partner with Sales on identifying expansion or upsell opportunities, including supporting contract renewals and negotiations when additional solutions or services can add value.

Qualifications

• Experience: 5+ years in customer success, program management, or strategic consulting driving technology implementations for Fortune 500 / Global 2000 clients. Proven track record managing complex enterprise projects (preferably in AI, data, or software consulting) with cross-functional teams.

• Technical Fluency: Solid understanding of AI/ML concepts and enterprise technology environments. Comfortable discussing LLMs, AI agents, data integration, and software development processes with technical teams. Able to credibly translate complex technical concepts into business implications for executive audiences, and vice versa.

• Design Thinking: Demonstrated ability to conduct user journey mapping, workflow analysis, and UI/UX feedback sessions in an enterprise context. Creative problem-solving skills to synthesize client pain points into innovative AI solutions (e.g. identifying high-value use cases and quick wins).

• Strategic Business Acumen: Experience developing business cases, conducting ROI analysis, and shaping strategic roadmaps in collaboration with senior executives. Able to quantify business impact of solutions and articulate the AI value proposition in terms of revenue, efficiency, or other KPIs.

• Communication & Stakeholder Management: Exceptional English communication skills, both written and verbal. Executive presence with ability to confidently present to C-suite and influence senior stakeholders. Experience managing diverse stakeholders (from technical engineers to non-technical business owners) and achieving consensus. Cross-cultural competence – able to work effectively across global time zones and adapt to different corporate cultures.

• Project Leadership: Strong project management skills (timelines, risk management, documentation) with attention to detail and organization. Comfortable leading without formal authority – this role is an individual contributor, but you must galvanize and guide teams toward a common goal. PMP or similar certification is a plus, but practical delivery experience is most important.

• Mindset: Results-oriented, with a passion for customer success and a “owner” mentality for client outcomes. Highly adaptable and comfortable with ambiguity – you thrive in a fast-moving environment and can adjust plans on the fly as new insights emerge. Low ego team player who builds trust through collaboration, empathy, and delivering on promises. A proactive self-starter who takes initiative to solve problems and continuously seeks to learn new technologies and best practices in the AI field.

• Travel: Willingness to travel to client sites on an as-needed basis (approximately 10–25%). You may need to be on-site for key workshops, trainings, or deployment milestones to deepen relationships and ensure success (far less travel than a typical consulting role, but flexibility is expected).

Success Metrics & Growth

Your success in this role will be measured by tangible customer outcomes and account growth. Key metrics include customer retention, net revenue retention or expansion, on-time implementation delivery, and client satisfaction (CSAT) scores. Meeting or exceeding these goals by driving real client ROI is how you’ll shine. High performers in this role will earn opportunities to take on larger strategic accounts, mentor junior team members as our team grows, and help shape Lyzr’s global customer success methodology.

Why Join Lyzr AI

• Build the Future of AI in Enterprise: Work with cutting-edge AI agent technology that is truly transforming how work gets done at Fortune 500 companies. You’ll be at the forefront of deploying AI solutions that can 10x productivity and reinvent business processes – making a real impact on industry leaders.

• High-Impact, Strategic Work: Tackle meaningful, complex business challenges alongside C-level executives and top-tier talent. Every engagement requires creative thinking and offers a new learning opportunity. You’ll function as a strategic advisor to our clients, not just a project manager, and have a seat at the table for high-level technology decisions.

• Startup Agility, Enterprise Scale: Join a fast-growing startup (backed by leading investors) where your contributions directly shape our success, while working with globally recognized enterprises. Enjoy a dynamic, innovative



## Qualifications
* Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field
* 3+ years experience in AI/ML engineering, agent development, process engineering, or related roles
* Proven track record of building and deploying production-grade AI agents and ML models
* Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI
* Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools
* Experience in business process analysis, process mapping, and workflow automation
* Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate)
* Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals
* Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics
* Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen
## Benefits
* For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position
* The actual base salary offered may depend on a variety of factors.U.S. based employees may be eligible for short-term and/or long-term incentives
* They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others
* U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation
## Responsibilities
* A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization
* Architect and develop multi-agent systems for process automation and intelligent decision-making
* Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar
* Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency
* Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions
* Collaborate with business stakeholders to identify opportunities for agent-driven process improvement
* Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models
* Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence
* Optimize models for scalability, latency, and accuracy in production environments
* Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards
* Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement
* Location: This role is eligible for our hybrid work arrangement, allowing for up to two days a week in a remote work location and three days a week in our Bridgewater, NJ corporate office

## Full Description
Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities

• Architect and develop multi-agent systems for process automation and intelligent decision-making.

• Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.

• Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.

• Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.

• Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.

• Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.

• Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

• Optimize models for scalability, latency, and accuracy in production environments.

• Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.

• Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.

Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.

• 3+ years experience in AI/ML engineering, agent development, process engineering, or related roles.

• Proven track record of building and deploying production-grade AI agents and ML models.

• Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.

• Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.

• Experience in business process analysis, process mapping, and workflow automation.

• Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).

• Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.

• Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.

• Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

Location: This role is eligible for our hybrid work arrangement, allowing for up to two days a week in a remote work location and three days a week in our Bridgewater, NJ corporate office.

Travel: 10%

This position may be available in the following location(s): [[location_obj]]

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

Our Benefit Programs:Employee Benefits: Bausch + Lomb (https://www.bausch.com/careers/benefits/)

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

\#LI-KF



## Qualifications
* Fluent in English
* A bachelor's degree (completed or in progress)
* Excellent writing and grammar skills
* Strong research and fact-checking skills to ensure accuracy and originality
## Benefits
* Based on the quality of your work, you will continue to receive projects regularly
* This is a full-time or part-time REMOTE position
* You’ll be able to choose which projects you want to work on
* You can work on your own schedule
* Projects are paid hourly, with bonuses for high-quality and high-volume work
* Pay: From $20.00 per hour
## Responsibilities
* You will have conversations with chatbots in order to measure their progress, as well as write novel conversations in order to teach them what to say
* Come up with diverse conversations over a range of topics
* Write high-quality answers when given specific prompts
* Compare the performance of different AI models
* Research and fact-check AI responses

## Full Description
DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for a Digital Content Editor to join our team and teach AI chatbots. You will have conversations with chatbots in order to measure their progress, as well as write novel conversations in order to teach them what tosay.

As part of the application process, you will be asked to complete an assessment. If you pass, you will gain access to projects. Based on the quality of your work, you will continue to receive projects regularly. We find our most successful candidates work between 5-20 hours per week, up to 40 hours.

Benefits:

• This is a full-time or part-time REMOTE position

• You’ll be able to choose which projects you want to work on

• You can work on your own schedule

• Projects are paid hourly, with bonuses for high-quality and high-volume work

Responsibilities:

• Come up with diverse conversations over a range of topics

• Write high-quality answers when given specific prompts

• Compare the performance of different AI models

• Research and fact-check AI responses

Qualifications:

• Fluent in English

• A bachelor's degree (completed or in progress)

• Excellent writing and grammar skills

• Strong research and fact-checking skills to ensure accuracy and originality

Note: Payment is made via PayPal. We will never ask for any money from you.

#INDGENSTN

Job Type: Contract

Pay: From $20.00 per hour

Work Location: Remote




## Full Description
About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

We’re Most Proud Of

• Offering life-changing opportunities for talented software professionals across the Americas.

• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.

• Our 4.2-star rating on GlassDoor.

• Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Prompt Engineer.

What We're Looking For

• 5+ years of professional experience as a Software Engineer or AI Engineer.

• Advanced English is required.

• Successful completion of a four-year college degree is required.

• Strong hands‑on experience working with LLM platforms (OpenAI APIs or similar).

• Design, develop, and optimize prompt engineering workflows, including system prompts, user prompts, and multi‑step reasoning chains.

• Integrate AI‑driven logic into production systems, collaborating closely with backend engineering teams.

• Work within Node.js and TypeScript environments to implement and maintain AI‑related features.

• Analyze, test, and evaluate AI outputs, applying a strong analytical mindset to ensure quality, consistency, and reliability.

• Experience designing AI‑powered features for consumer‑facing web or mobile applications.

• Develop and maintain documentation for prompts, workflows, and AI system behavior.

• Identify, debug, and address issues related to AI performance, output quality, and system integration.

• Ability to work through new and difficult issues and contribute to libraries as needed.

• Ability to create and maintain continuous integration and delivery of applications.

• Forensic attention to detail.

• A positive mindset and a can‑do attitude.

• Experience working on Agile / Scrum teams.

• Meaningful experience working on large, complex systems.

• Ability to take extreme ownership of your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.

• Ability to identify with the goals of FullStack’s clients, and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer

• Competitive pay.

• 100% remote work.

• Opportunity to work with leading startups and Fortune 500 companies.

• Continuing education opportunities.

• Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

Learn more about our Applicants Privacy Notice.

#J-18808-Ljbffr



## Qualifications
* Bachelor's degree or equivalent practical experience
* 4 years of experience with cloud native architecture in industry or a customer-facing or support role
* Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and Retrieval-augmented generation (RAG)
* Experience with machine learning model development and deployment
* Experience engaging with, and presenting to, technical stakeholders and executive leaders
* Experience with programming or technical proficiencies to demo, prototype, or workshop with customers
* You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio
## Benefits
* Health, dental, vision, life, disability insurance
* Retirement Benefits: 401(k) with company match
* Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
* Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
* Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
* Baby Bonding Leave: 18 weeks
* Holidays: 13 paid days per year
* The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits
* Our salary ranges are determined by role, level, and location
* Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
* Your recruiter can share more about the specific salary range for your preferred location during the hiring process
* The Canada base salary range for this full-time position is CAD 128,000-131,000 + bonus + equity + benefits
* Our salary ranges are determined by role, level, and location
* Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
## Responsibilities
* You deliver what is most helpful for the customer
* You assist fellow sales Googlers by problem-solving key technical issues for our customers
* You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products
* As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers
* You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads
* You will leverage your deep expertise in product areas, in partnership with Platform CEs, to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers
* You will solve AI-centered customer issues and provide a critical feedback loop to influence product development
* You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud
* Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp
* Combine sales strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
* Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships
* Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
* Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues

## Full Description
This posting is for a new vacancy.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act."

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

The application window will be open until at least February 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Los Angeles, CA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 4 years of experience with cloud native architecture in industry or a customer-facing or support role.

• Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and Retrieval-augmented generation (RAG).

• Experience with machine learning model development and deployment.

• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

• Experience with programming or technical proficiencies to demo, prototype, or workshop with customers.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.

• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).

• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).

• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

• Experience with frameworks for deep learning (e.g. PyTorch, Tensor Flow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), or using machine learning APIs.

• Experience working with startups.

About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads. You will leverage your deep expertise in product areas, in partnership with Platform CEs, to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development.

You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio. This posting is for a new vacancy.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

For Unites States Applicants:

The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

For Canada Applicants:

The Canada base salary range for this full-time position is CAD 128,000-131,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.

• Combine sales strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.

• Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships.

• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.

• Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .



## Qualifications
* The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities
* Or willing to travel to these locations and customer sites, as needed
* 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system)
* Proficiency in Python, PyTorch, Tensor Flow, and modern ML frameworks
* Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks
* Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka
* Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments
* Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention
* Experience transitioning R&D systems into accredited production environments
* Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on
## Responsibilities
* The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments
* Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines
* Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems
* Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, Gov Cloud)
* Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs
* Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems
* Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection
* Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations
* Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs
* Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems
* Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks

## Full Description
Position: Distinguished AI/ML Engineering Lead with Security Clearance

Overview Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, andtechnology. FTI is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.

This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments.

The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities. Responsibilities

• Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.

• Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.

• Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, Gov Cloud).

• Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.

• Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.

• Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.

• Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.

• Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.

• Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.

• Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks. Education/Qualifications

• * Preferring candidates close to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO. Or willing to travel to these locations and customer sites, as needed.

• Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).

• 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).

• Proficiency in Python, PyTorch, Tensor Flow, and modern ML frameworks.

• Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.

• Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.

• Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.

• Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.

• Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.

• Experience transitioning R&D systems into accredited production environments.

• Active Secret clearance required; TS/SCI strongly preferred.

• Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on. #LI-GH1 #LI-Remote



## Qualifications
* Masters or PhD in deep learning in behavior and agent modeling or simulation
* Proficiency in Python
* 3+ years of experience with modern deep learning frameworks
* Prefer JAX or TensorFlow 2; however, Pytorch is acceptable
* Generative modeling
* LLMs or VLMs (e.g., Gemini, Llama, GPT)
* Post-training, incl
* Distillation
## Responsibilities
* The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions
* In this hybrid role you will report to a Technical Lead Manager
* Conduct applied foundation model research and development
* Design compelling experiments by training and evaluating large deep learning models
* Present results to peers and leadership
* Write high quality code, unit tests, and documentation
* Transformer models

## Full Description
The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.

In this hybrid role you will report to a TechnicalLead Manager.

You will:

• Conduct applied foundation model research and development

• Design compelling experiments by training and evaluating large deep learning models

• Present results to peers and leadership

• Write high quality code, unit tests, and documentation

You have:

• Masters or PhD in deep learning in behavior and agent modeling or simulation

• Proficiency in Python

• 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable.

We prefer:

Experience with:

• Generative modeling

• LLMs or VLMs (e.g., Gemini, Llama, GPT)

• Post-training, incl. reinforcement learning

• Distillation

• Transformer models

• Autoencoders and embeddings



Econometrics Instructor (AI Training)

Full Description

Zero to AI Engineer