## Qualifications
* Skills needed include strong medical knowledge, attention to detail, and effective communication
## Benefits
* Benefits include flexible remote work, competitive compensation, and ongoing professional development opportunities
## Responsibilities
* Provide expert medical insights to train and improve AI algorithms effectively
* Review, annotate, and validate medical datasets with accuracy and attention to detail
* Collaborate with AI developers to optimize model performance and reliability
* Ensure compliance with healthcare standards and confidentiality protocols
* Assist in creating training materials and documentation for AI systems

## Full Description
We are seeking a Remote Medical General Expert - AI Trainer based in Skokie, Illinois, to develop and refine AI models through medical data annotation and validation.

• Provide expert medical insights to train and improve AI algorithms effectively.

• Review, annotate, and validate medical datasets with accuracy and attention to detail.

• Collaborate with AI developers to optimize model performanceand reliability.

• Ensure compliance with healthcare standards and confidentiality protocols.

• Assist in creating training materials and documentation for AI systems.

Skills needed include strong medical knowledge, attention to detail, and effective communication. Benefits include flexible remote work, competitive compensation, and ongoing professional development opportunities.



## Qualifications
* Educational Foundation: B.S. computer, engineering, mathematical, or equivalent technical experience in implementation or technical pre-sales
* Sales Engineering Excellence: 5+ years of experience in technical pre-sales, focusing on SaaS, Cloud, or Enterprise AI
* AI/ML & LLM Mastery: Deep understanding and experience in multiple LLM models and integration via MCP and APIs with LLMs with 3rd party solutions
* Can recommend the appropriate technique and model for the workflow in question
* Prompt Engineering & Orchestration: Proficiency in advanced prompt engineering techniques (Chain-of-Thought, ReAct) and experience with AI orchestration frameworks
* Data Architecture: Strong understanding of vector databases, semantic search, and how unstructured data, images, and multi-modal solutions can be utilized in RAG-based solutions
* Public Sector Acumen: Familiarity with the ethical implications of Generative AI in government, including bias mitigation and the "Right to Explanation" for automated decisions
* Communication Mastery: Ability to pivot from a deep-dive technical discussion with developers to a high-level strategic vision presentation for a C-Suite audience
* Salesforce Ecosystem: Current Salesforce AI Specialist Certification (or equivalent) and experience with Data Cloud or MuleSoft
* Development Skills: Proficiency in coding languages such as Python, Node.js, Ruby, etc and familiarity with libraries like LangChain, PyTorch, or TensorFlow
* Industry Standards: Knowledge of government-specific security frameworks (FedRAMP, HIPAA, StateRAMP)
* Visual Analytics: Experience using Tableau or CRM Analytics to visualize AI-driven insights and predictive trends
## Benefits
* The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education
* In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience
* Certain roles may be eligible for incentive compensation, equity, and benefits
* Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program
* The typical base salary range for this position is $157,640 - $210,910 annually There is a different range applicable to specific work locations
* In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $173,460 - $231,980 per year
* Your recruiter can share more about the specific salary range for the job location during the hiring process
* The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable
## Responsibilities
* A critical component of this role is navigating the intersection of innovation and regulation
* The AI Specialist will ensure the ethical use of AI via Salesforce capabilities and approaches including the Einstein Trust Layer and Agentforce Observability adhering to strict global compliance standards (e.g., FedRAMP, IL4/5/6, GDPR)
* As a trusted advisor, the AI Specialist will guide customers and agency leaders in shaping AI strategies that promote efficiency, transparency, and equitable outcomes for all citizens
* Architect Agentic Workflows: Design and demonstrate Employee, Service, and other types of Agentforce Agents that can reason, orchestrate multi-step tasks, and execute actions across disparate public sector systems
* Data Foundation & Grounding: Demonstrate and collaborate with customers to identify foundational data-centric solutions using the Salesforce platform and Salesforce Data Cloud to enable Agentic and general Salesforce AI solutions that are grounded in relevant data to increase trust and reduce inaccuracies and hallucinations
* Trust & Governance Leadership: Serve as an expert on trust and governance of AI on the Salesforce platform, including the use of the Einstein Trust Layer, Session Tracing Data Model (STDM), and Data Cloud for AI governance, management, and observation
* AI Workshops & Prototyping: Lead "Build with AI" workshops and develop high-impact Proofs of Concept (POCs) that show how GenAI can solve specific agency pain points, such as benefits eligibility or emergency response routing
* Technical Sales Authority: Serve as the technical lead for strategic RFPs, ensuring that AI solutions are architecturally sound, scalable, and integrated with existing government legacy systems
* Product Feedback Loop: Collaborate directly with Salesforce Product Engineering to relay field requirements, ensuring Public Sector needs for feature parity are prioritized in the product roadmap
* Understands how to integrate predictive and generative models in business processes and workflows

## Full Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications will be accepted until 02/16/2026.

Applications will be accepted until February 16, 2026.

Job Details

An AI Specialist in the Global Public Sector is an expert in understanding Salesforce Artificial Intelligence solutions and responsible for designing, architecting, and demonstrating the next generation of Agentic AI solutions. The AI Specialist will leverage the Salesforce platform and the broader AI ecosystem to modernize government, education, and non-profit services, leveraging AI in the flow of work to help with simple automation to autonomous actions. In addition, the role involves leveraging data in both unstructured and structured formats to support Generative AI and Predictive AI features that support use cases across the wide range of services offered by Public Sector Customers.

A critical component of this role is navigating the intersection of innovation and regulation. The AI Specialist will ensure the ethical use of AI via Salesforce capabilities and approaches including the Einstein Trust Layer and Agentforce Observability adhering to strict global compliance standards (e.g., FedRAMP, IL4/5/6, GDPR). As a trusted advisor, the AI Specialist will guide customers and agency leaders in shaping AI strategies that promote efficiency, transparency, and equitable outcomes for all citizens.

Responsibilities

• Architect Agentic Workflows: Design and demonstrate Employee, Service, and other types of Agentforce Agents that can reason, orchestrate multi-step tasks, and execute actions across disparate public sector systems.

• Data Foundation & Grounding: Demonstrate and collaborate with customers to identify foundational data-centric solutions using the Salesforce platform and Salesforce Data Cloud to enable Agentic and general Salesforce AI solutions that are grounded in relevant data to increase trust and reduce inaccuracies and hallucinations.

• Trust & Governance Leadership: Serve as an expert on trust and governance of AI on the Salesforce platform, including the use of the Einstein Trust Layer, Session Tracing Data Model (STDM), and Data Cloud for AI governance, management, and observation.

• AI Workshops & Prototyping: Lead "Build with AI" workshops and develop high-impact Proofs of Concept (POCs) that show how GenAI can solve specific agency pain points, such as benefits eligibility or emergency response routing.

• Technical Sales Authority: Serve as the technical lead for strategic RFPs, ensuring that AI solutions are architecturally sound, scalable, and integrated with existing government legacy systems.

• Product Feedback Loop: Collaborate directly with Salesforce Product Engineering to relay field requirements, ensuring Public Sector needs for feature parity are prioritized in the product roadmap.

Core Skills & Requirements

• Educational Foundation: B.S. computer, engineering, mathematical, or equivalent technical experience in implementation or technical pre-sales.

• Sales Engineering Excellence: 5+ years of experience in technical pre-sales, focusing on SaaS, Cloud, or Enterprise AI.

• AI/ML & LLM Mastery: Deep understanding and experience in multiple LLM models and integration via MCP and APIs with LLMs with 3rd party solutions. Understands how to integrate predictive and generative models in business processes and workflows. Can recommend the appropriate technique and model for the workflow in question.

• Prompt Engineering & Orchestration: Proficiency in advanced prompt engineering techniques (Chain-of-Thought, ReAct) and experience with AI orchestration frameworks.

• Data Architecture: Strong understanding of vector databases, semantic search, and how unstructured data, images, and multi-modal solutions can be utilized in RAG-based solutions.

• Public Sector Acumen: Familiarity with the ethical implications of Generative AI in government, including bias mitigation and the "Right to Explanation" for automated decisions.

• Communication Mastery: Ability to pivot from a deep-dive technical discussion with developers to a high-level strategic vision presentation for a C-Suite audience.

Bonus Points

• Salesforce Ecosystem: Current Salesforce AI Specialist Certification (or equivalent) and experience with Data Cloud or MuleSoft. Salesforce Administrator, Salesforce Service Cloud, and Salesforce App Builder certifications are highly desirable.

• Development Skills: Proficiency in coding languages such as Python, Node.js, Ruby, etc and familiarity with libraries like LangChain, PyTorch, or TensorFlow.

• Industry Standards: Knowledge of government-specific security frameworks (FedRAMP, HIPAA, StateRAMP).

• Visual Analytics: Experience using Tableau or CRM Analytics to visualize AI-driven insights and predictive trends.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $157,640 - $210,910 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $173,460 - $231,980 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.



## Qualifications
* Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
* 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy)
* Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts
* 3+ years of experience with containerization (e.g., Docker, Kubernetes)
* 3+ years of experience with CI/CD tools, pipelines
* 3+ years of experience with PySpark
* 2+ years of experience working on any cloud platform
* (Azure / GCP / AWS)
* Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
* Knowledge of generative AI frameworks such as Langchain or Pydantic AI
* Experience working with Large Language Model (LLM) in application development
## Benefits
* Scheduled Weekly Hours
* 40
* Pay Range
* The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting
* The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc
* $117,600 - $161,700 per year
* This job is eligible for a bonus incentive plan
* This incentive opportunity is based upon company and/or individual performance
* Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being
* Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work
* Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities
## Responsibilities
* As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions
* You'll work with large-scale datasets and state-of-the-art tools to address complex business problems
* This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle-from data ingestion to deployment and monitoring
* Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions
* Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases
* Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets
* Assist our data science team in the development and deployment of traditional machine learning models
* Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions
* Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines
* Stay up to date with the latest advancements in machine learning, generative AI, and related technologies

## Full Description
Become a part of our caring community and help us put health first

As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You'll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers acrossthe entire AI development lifecycle-from data ingestion to deployment and monitoring.

• Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.

• Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.

• Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.

• Assist our data science team in the development and deployment of traditional machine learning models.

• Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.

• Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.

• Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.

Use your skills to make an impact

Required Qualifications:

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR

• 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).

• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.

• 3+ years of experience with containerization (e.g., Docker, Kubernetes).

• 3+ years of experience with CI/CD tools, pipelines

• 3+ years of experience with PySpark.

• 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)

• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Knowledge of generative AI frameworks such as Langchain or Pydantic AI.

• Experience working with Large Language Model (LLM) in application development

Highly Desired Qualifications:

• Master's Degree in a similar field with at least 5 years of relevant experience.

• Experience with version control systems (e.g., Git) and software development best practices.

• Excellent problem-solving skills and ability to work in a collaborative environment.

• Experience deploying software using tools like Docker and Kubernetes.

• Experience with deep learning techniques and frameworks.

• Experience working with any nosql DBs.

• Knowledge of natural language processing (NLP).

• Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

• *This is a HYBRID office position requiring an in-office presence 3 days/wk in one of the following locations: Dallas, TX, Tampa, FL, Washington DC, Boston, MA, NYC, New York, or Louisville, KY.

You must reside within commutable distance or be willing to relocate to our offices located in these areas.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$117,600 - $161,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About Us

Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.



## Qualifications
* 7+ years of experience in consulting (professional services) or industry architecting and deploying artificial intelligence solutions and other technical solutions
* Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an accredited institution
* 3+ years designing and delivering generative AI solutions across the technology stack, including infrastructure (e.g., AWS, Azure, GCP), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g., ChatGPT, Claude, Gemini)
* 3+ years building solutions on cloud platforms (AWS, Azure, or GCP)
* 3+ end-to-end AI solution deliveries (proofs of concept and/or scaled solutions) demonstrating business value in finance domains such as FP&A, controllership (close and consolidation), tax, treasury, management reporting, or external reporting
* 2+ years defining product roadmaps and prioritizing features with cross-functional teams (e.g., data science, engineering, finance)
* Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available
## Benefits
* The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs
* A reasonable estimate of the current range is $144,600 to $241,000
* You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance
## Responsibilities
* You'll help clients automate, accelerate, and augment the finance function so it remains dynamic, forward-looking, and integral to business success
* You will lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
* You will engage clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
* You will perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
* You will define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review
* You will oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes
* You will contribute to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members
* The team Our Business Finance offering empowers finance teams to drive strategic value by transforming and synchronizing planning, costing, budgeting, and forecasting across functions
* We support CFOs in meeting the growing demands for real-time financial decision-making by advising, implementing, and operating innovative AI solutions

## Full Description
Join our Finance Transformation team to help unlock financial performance and enterprise value. We serve as trusted advisors to CFOs, COOs, CIOs, and other senior leaders-providing strategic guidance, implementing solutions, and delivering as-a-service offerings. Our focus is on modernizing finance, shared services, and real estate operations while enabling enterprise-wide decision-making with data and AI. You'll help clients automate, accelerate, and augment the finance function so it remains dynamic, forward-looking, and integral to business success.

Recruiting for this role ends on 3/31/2026.

Work you'll do As a Finance AI Manager on the Finance Transformation team, you will be responsible for:

• You will lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises.

• You will engage clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases.

• You will perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods.

• You will define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review.

• You will oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes.

• You will contribute to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members.

The team Our Business Finance offering empowers finance teams to drive strategic value by transforming and synchronizing planning, costing, budgeting, and forecasting across functions. Using scalable data and technology platforms, we generate actionable insights and analytics, streamline decision-making, and enable data-driven profitable growth. We also manage risks and opportunities associated with complex grant programs through end-to-end grants management solutions.

The Finance AI team focuses on automating, accelerating, and augmenting the finance function through data and AI models. We support CFOs in meeting the growing demands for real-time financial decision-making by advising, implementing, and operating innovative AI solutions.

Qualifications

Required:

• 7+ years of experience in consulting (professional services) or industry architecting and deploying artificial intelligence solutions and other technical solutions.

• Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an accredited institution.

• 3+ years designing and delivering generative AI solutions across the technology stack, including infrastructure (e.g., AWS, Azure, GCP), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g., ChatGPT, Claude, Gemini).

• 3+ years building solutions on cloud platforms (AWS, Azure, or GCP).

• 3+ end-to-end AI solution deliveries (proofs of concept and/or scaled solutions) demonstrating business value in finance domains such as FP&A, controllership (close and consolidation), tax, treasury, management reporting, or external reporting.

• 2+ years defining product roadmaps and prioritizing features with cross-functional teams (e.g., data science, engineering, finance).

• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.

• Limited immigration sponsorship may be available.

Preferred:

• Bachelor's degree from a STEM-designated program; master's degree preferred.

• One or more AI/ML certifications (e.g., AWS, Azure, Google).

• 2+ years defining and prioritizing generative AI use cases using quantitative value frameworks.

• 2+ years integrating applications and services via APIs.

• 1+ year applying responsible AI practices for model training, evaluation, and deployment.

• 2+ years in finance transformation, accounting, ERP/EPM implementation, data management/analytics, or project management.

• 1+ proof of concept using agentic AI for end-to-end process automation.

• Experience defining and tracking KPIs and success metrics for generative or predictive AI solutions.

• Experience creating technical documentation and user guides for AI solutions.

• Experience with pre-sales activities, proposals, and RFP responses.

• Proficiency with Microsoft Word, Excel, PowerPoint, Outlook, and Teams.

• Experience mentoring or coaching junior practitioners.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,600 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.



## Qualifications
* Strong Business Analyst experience in enterprise environments
* Exposure to AI, automation, or data-driven initiatives
* Comfortable influencing senior leaders and saying “no” when needed
* Consulting mindset with a focus on speed, value, and ROI
* Note: Our client cannot provide visa sponsorship, so candidates must be fully authorized to work in the US without restrictions or through a third-party employer
## Benefits
* High visibility with the CIO and leadership team
* Real ownership over AI investment decisions
* Clear path from AI POCs to firm-wide AI strategy
## Responsibilities
* The AI Business Analyst contractor will sit within a newly formed internal “AI Factory” sponsored by the CIO
* The goal: centralize, assess, and prioritize business-led AI ideas—rather than spreading them across existing BA teams
* You’ll act as the primary intake and decision point for AI initiatives, particularly across HR, Finance, and Marketing, helping determine which ideas are viable, valuable, and worth further investment
* Serve as the single POC for business-driven AI ideas
* Translate concepts into clear, actionable requirements
* Partner with developers on rapid AI POCs (e.g., Salesforce data modeling, AI automation, Glean)
* Within 1–2 weeks, assess POCs and recommend go / no-go decisions
* Confidently challenge senior stakeholders and push back on low-value ideas
* Help evolve the role into a broader enterprise AI data and strategy function

## Full Description
We’re partnered with a PE-backed SaaS leader (acquired for $4.6B in 2023) entering year three of its PE journey. The company provides enterprise technology for meetings, events, and hospitality, supporting 30,000+ customers globally and powering millions of events across in-person, virtual, and hybrid formats.

The Role

The AI Business Analyst contractor will sit within a newly formed internal “AI Factory” sponsored by the CIO. The goal: centralize, assess, and prioritize business-led AI ideas—rather than spreading them across existing BA teams.

You’ll act as the primary intake and decision point for AI initiatives, particularly across HR, Finance, and Marketing, helping determine which ideas are viable, valuable, and worth further investment.

What You’ll Do

• Serve as the single POC for business-driven AI ideas

• Translate concepts into clear, actionable requirements

• Partner with developers on rapid AI POCs (e.g., Salesforce data modeling, AI automation, Glean)

• Within 1–2 weeks, assess POCs and recommend go / no-go decisions

• Confidently challenge senior stakeholders and push back on low-value ideas

• Help evolve the role into a broader enterprise AI data and strategy function

What They’re Looking For

• Strong Business Analyst experience in enterprise environments

• Exposure to AI, automation, or data-driven initiatives

• Comfortable influencing senior leaders and saying “no” when needed

• Consulting mindset with a focus on speed, value, and ROI

Why It’s Compelling

• High visibility with the CIO and leadership team

• Real ownership over AI investment decisions

• Clear path from AI POCs to firm-wide AI strategy

• PE-backed environment focused on impact and execution

Note: Our client cannot provide visa sponsorship, so candidates must be fully authorized to work in the US without restrictions or through a third-party employer.



## Qualifications
* Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, or related field
* Strong proficiency in Python and libraries such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch
* 8-10 years of experience building, training, and deploying NLP models in production environments
* Strong knowledge of data engineering concepts: ETL processes, SQL/NoSQL databases, and data pipeline tools (eg, Apache Spark, Airflow)
* Solid understanding of machine learning methods and predictive modeling
* Excellent analytical, problem-solving, and communication skills
* Need to be a US citizen
* Experience working with cybersecurity datasets (eg, CVE data, threat intelligence feeds, log analysis)
* Familiarity with cybersecurity frameworks (eg, MITRE ATT&CK, NIST)
* Experience with cloud platforms (AWS, Azure, or GCP)
* Familiarity with containerization (Docker) and CI/CD for ML deployment
## Benefits
* Medical insurance
* Vision insurance
* 401(k)
## Responsibilities
* The role involves developing machine learning models and data pipelines to process and analyze large-scale cybersecurity-related text data, while collaborating with cybersecurity analysts to enhance security workflows
* Design, develop, and deploy NLP pipelines for extracting, processing, and analyzing large-scale cybersecurity-related text data (eg, threat reports, logs, vulnerability disclosures)
* Build and optimize predictive models to identify, classify, and forecast cybersecurity risks and trends
* Implement advanced algorithms such as named entity recognition (NER), topic modeling, sentiment analysis, and text summarization
* Develop data ingestion and transformation workflows from multiple structured and unstructured data sources
* Design and maintain scalable data pipelines and data lakes to support analytics and model training
* Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and actionable insights
* Perform feature engineering to enhance model accuracy and relevance
* Leverage NLP and AI to detect, analyze, and predict cyber threats, vulnerabilities, and attack patterns
* Collaborate with cybersecurity analysts to validate model outputs and integrate AI-driven insights into security workflows
* Create interactive dashboards and visualizations (Power BI, Tableau, or similar) to communicate findings to technical and non-technical stakeholders
* Prepare and present analytical reports summarizing methods, findings, and recommendations

## Full Description
Join to apply for the AI Engineer - Data Scientist (NLP & Cybersecurity) role at Jobright.ai

1 day ago Be among the first 25 applicants

Join to apply for the AI Engineer - Data Scientist (NLP & Cybersecurity) role at Jobright.ai

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directlyfor these positions. We connect you with verified openings from employers you can trust.

EnDyna Inc is seeking an AI Engineer - Data Scientist with expertise in Natural Language Processing (NLP) and data engineering within the cybersecurity domain. The role involves developing machine learning models and data pipelines to process and analyze large-scale cybersecurity-related text data, while collaborating with cybersecurity analysts to enhance security workflows.

Responsibilities:

Design, develop, and deploy NLP pipelines for extracting, processing, and analyzing large-scale cybersecurity-related text data (eg, threat reports, logs, vulnerability disclosures).

Build and optimize predictive models to identify, classify, and forecast cybersecurity risks and trends.

Implement advanced algorithms such as named entity recognition (NER), topic modeling, sentiment analysis, and text summarization.

Develop data ingestion and transformation workflows from multiple structured and unstructured data sources.

Design and maintain scalable data pipelines and data lakes to support analytics and model training.

Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and actionable insights.

Perform feature engineering to enhance model accuracy and relevance.

Leverage NLP and AI to detect, analyze, and predict cyber threats, vulnerabilities, and attack patterns.

Collaborate with cybersecurity analysts to validate model outputs and integrate AI-driven insights into security workflows.

Create interactive dashboards and visualizations (Power BI, Tableau, or similar) to communicate findings to technical and non-technical stakeholders.

Prepare and present analytical reports summarizing methods, findings, and recommendations.

Qualifications:

Required:

Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, or related field.

Strong proficiency in Python and libraries such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch.

8-10 years of experience building, training, and deploying NLP models in production environments.

Strong knowledge of data engineering concepts: ETL processes, SQL/NoSQL databases, and data pipeline tools (eg, Apache Spark, Airflow).

Solid understanding of machine learning methods and predictive modeling.

Excellent analytical, problem-solving, and communication skills.

Need to be a US citizen.

Preferred:

Experience working with cybersecurity datasets (eg, CVE data, threat intelligence feeds, log analysis).

Familiarity with cybersecurity frameworks (eg, MITRE ATT&CK, NIST).

Experience with cloud platforms (AWS, Azure, or GCP).

Familiarity with containerization (Docker) and CI/CD for ML deployment.

Company:

EnDyna provides innovative solutions to government agencies, backed by our strong commitment to quality. EnDyna's mission is to support U.S. Founded in 2001, headquartered in McLean, Virginia, US, team size 51-200 employees, currently Growth Stage. Seniority level

• Seniority level Mid-Senior level Employment type

• Employment type Full-time Job function

• Industries Software Development

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Posted Date : Mon, 12 Jan 2026

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## Qualifications
* Strong medical knowledge and familiarity with healthcare terminology
* Excellent communication and attention to detail
* Ability to work independently in a remote setting
## Benefits
* Flexible remote work environment
* Competitive compensation
* Professional development opportunities
* Health and wellness benefits
## Responsibilities
* Train and validate AI models with accurate medical data and insights
* Collaborate with cross-functional teams to improve AI accuracy and performance
* Review and ensure the quality of AI outputs in medical contexts
* Stay updated on medical advancements and integrate relevant knowledge into training datasets
* Document training processes and provide ongoing feedback for AI refinement

## Full Description
We are seeking a Remote Medical General Expert - AI Trainer based in Arlington Heights, Illinois.

Responsibilities

• Train and validate AI models with accurate medical data and insights.

• Collaborate with cross-functional teams to improve AI accuracy and performance.

• Review and ensure the quality of AI outputs in medical contexts.

• Stay updated on medical advancements and integrate relevant knowledge into training datasets.

• Document training processes and provide ongoing feedback for AI refinement.

Skills Needed

• Strong medical knowledge and familiarity with healthcare terminology.

• Experience with AI or machine learning concepts is a plus.

• Excellent communication and attention to detail.

• Ability to work independently in a remote setting.

Benefits

• Flexible remote work environment.

• Competitive compensation.

• Professional development opportunities.

• Health and wellness benefits.



## Qualifications
* 5+ years in AI/ML development, with at least 2+ years in Generative AI and agentic systems
* Expertise in Semantic Kernel (skills, planners, connectors) and Azure AI Foundry (agents, orchestration)
* Strong proficiency in Python/C# , REST APIs, and cloud-native architectures
* Experience with LLM fine-tuning , prompt engineering , and tool integration
* Familiarity with AppSec and secure AI deployment practices
* High School Diploma or GED
* 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
* You will receive competitive rewards and access to benefits programs and world-class learning resources
* 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
* Massachusetts – $66.00 - $76.00/hour
* Minnesota - $66.00 - $76.00/hour
## Responsibilities
* We are seeking highly skilled professionals to lead the design and implementation of advanced Generative AI and Agentic AI solutions
* The ideal candidate will have hands-on experience with Semantic Kernel, Azure AI Foundry, and modern AI orchestration frameworks to build intelligent, autonomous agents that integrate seamlessly with enterprise systems
* Architect and develop agentic AI workflows leveraging Semantic Kernel for prompt engineering, memory, and skill orchestration
* Build and deploy AI agents using Azure AI Foundry, integrating multi-modal models and tools
* Design scalable solutions for Retrieval-Augmented Generation (RAG), Graph RAG, and knowledge-grounded AI
* Collaborate with cross-functional teams to embed AI capabilities into applications and cloud platforms
* Ensure security, compliance, and performance optimization of AI solutions

## Full Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Key Responsibilities:

• We are seeking highly skilled professionals to lead the design and implementation of advanced Generative AI and Agentic AI solutions.

• The ideal candidate will have hands-on experience with Semantic Kernel, Azure AI Foundry, and modern AI orchestration frameworks to build intelligent, autonomous agents that integrate seamlessly with enterprise systems.

• Architect and develop agentic AI workflows leveraging Semantic Kernel for prompt engineering, memory, and skill orchestration.

• Build and deploy AI agents using Azure AI Foundry, integrating multi-modal models and tools.

• Design scalable solutions for Retrieval-Augmented Generation (RAG), Graph RAG, and knowledge-grounded AI.

• Collaborate with cross-functional teams to embed AI capabilities into applications and cloud platforms.

• Ensure security, compliance, and performance optimization of AI solutions.

Basic Qualifications:

• 5+ years in AI/ML development, with at least 2+ years in Generative AI and agentic systems

• Expertise in Semantic Kernel (skills, planners, connectors) and Azure AI Foundry (agents, orchestration)

• Strong proficiency in Python/C# , REST APIs, and cloud-native architectures

• Experience with LLM fine-tuning , prompt engineering , and tool integration

• Familiarity with AppSec and secure AI deployment practices

• High School Diploma or GED

Preferred Qualifications:

• Knowledge of Azure OpenAI , LangChain , or similar frameworks

• Experience in enterprise AI adoption and MLOps

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 accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/flexcareers#block-section-total-rewards)

Role Location

California – $66.00 - $76.00/hour

Cleveland – $66.00 - $76.00/hour

Colorado – $66.00 - $76.00/hour

District of Columbia – $66.00 - $76.00/hour

Illinois - $66.00 - $76.00/hour

Maryland – $66.00 - $76.00/hour

Massachusetts – $66.00 - $76.00/hour

Minnesota - $66.00 - $76.00/hour

New Jersey/New York – $66.00 - $76.00/hour

Washington – $66.00 - $76.00/hour

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 (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50)

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.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.



## Qualifications
* 3+ years of experience delivering AI/ML solutions
* 2+ years of hands-on experience with AI/ML frameworks (ie: TensorFlow, PyTorch) and deploying models onto hardware
* 2+ years of hands-on experience building AI/ML solutions using Python
* 2+ years hands-on experience in robotics engineering, including:
* Control systems, kinematics, dynamics, mechatronics, and hardware-software co-design
* Development with ROS, path planning, SLAM, reinforcement learning, and simulation tools
* Practical integration of sensors, actuators, and microcontrollers
* 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
* Bachelor's or Master's in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related fields
* Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available
## Responsibilities
* You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses
* As a Consultant you will leverage your deep subject matter knowledge to bring solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users
* Working within an engagement team, your responsibilities include, among others:
* Delivering components of client engagements focused on identifying, designing, and implementing technology business solutions for large companies
* Leading small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
* Your background in technology will provide the foundation to manage these streams but also understand the technology
* Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
* Identifying high-level risks, assumptions, and constraints
* Implement approved actions and workarounds to minimize the impact of risks on the project
* Maintaining communication with key project stakeholders and decision makers
* Design, prototype, and implement robotic systems that integrate AI-driven perception, planning, and control
* Develop and optimize algorithms for motion planning, machine vision, sensor fusion, and reinforcement/ imitation learning
* Implement Physical AI principles, ensuring AI models function reliably when interfacing with mechanical hardware in real-world conditions
* Collaborate with hardware engineers on actuator design, sensor integration, and embedded AI processors (e.g., PIM or neuromorphic chips)
* Conduct system-level testing, simulation, and validation for operational safety, robustness, and performance
* Integrate cloud and edge AI platforms with robotics systems for real-time decision-making
* Document designs, experiments, and results while contributing to knowledge-sharing across engineering teams
* Participated in the pursuit team by creating proposal content for client discussions

## Full Description
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 1/22/2026

Work you'll do

As a Consultant you will leverage your deep subject matter knowledge to bring solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.

Working within an engagement team, your responsibilities include, among others:

• Delivering components of client engagements focused on identifying, designing, and implementing technology business solutions for large companies

• Leading small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology

• Monitoring progress of the project, identify, and quantify variances, perform required corrective actions

• Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project

• Maintaining communication with key project stakeholders and decision makers

Additional Responsibilities:

• Design, prototype, and implement robotic systems that integrate AI-driven perception, planning, and control

• Develop and optimize algorithms for motion planning, machine vision, sensor fusion, and reinforcement/ imitation learning

• Implement Physical AI principles, ensuring AI models function reliably when interfacing with mechanical hardware in real-world conditions

• Collaborate with hardware engineers on actuator design, sensor integration, and embedded AI processors (e.g., PIM or neuromorphic chips)

• Conduct system-level testing, simulation, and validation for operational safety, robustness, and performance

• Integrate cloud and edge AI platforms with robotics systems for real-time decision-making

• Document designs, experiments, and results while contributing to knowledge-sharing across engineering teams

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

• 3+ years of experience delivering AI/ML solutions

• 2+ years of hands-on experience with AI/ML frameworks (ie: TensorFlow, PyTorch) and deploying models onto hardware

• 2+ years of hands-on experience building AI/ML solutions using Python

• 2+ years hands-on experience in robotics engineering, including:

• Control systems, kinematics, dynamics, mechatronics, and hardware-software co-design

• Development with ROS, path planning, SLAM, reinforcement learning, and simulation tools

• Practical integration of sensors, actuators, and microcontrollers

• 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes

• Bachelor's or Master's in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related fields

• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

• Limited immigration sponsorship may be available

Preferred:

• Familiarity with neuromorphic computing, AI edge chips, or Physical AI architectures

• Experience in human-robot interaction, collaborative robotics (cobots), or autonomous systems

• Experience publishing or developing innovative robotics/AI solutions

• Advanced degree in Robotics, Physical AI, or AI Engineering

• Prior consulting experience in client-facing delivery roles

• Experience in creating critical collaterals for client workshops and customer interactive sessions

• Experience presenting to both large and small audiences

• Demonstrated experience with the sales cycle by helping frame client opportunities. Participated in the pursuit team by creating proposal content for client discussions

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html



## Qualifications
* Candidates should possess strong programming skills in C/C++, Java, and Python, with experience in debugging and embedded platforms
## Benefits
* This position offers a competitive salary ranging from $157,600 to $236,400 along with a comprehensive benefits package, supporting a successful work-life balance
* #J-18808-Ljbffr
## Responsibilities
* The role involves developing and optimizing AI/ML solutions, working closely with automotive partners on embedded software for cutting-edge infotainment and autonomous driving technologies

## Full Description
A leading technology company is seeking a skilled Software Engineer for their Automotive Application Engineering Group. The role involves developing and optimizing AI/ML solutions, working closely with automotive partners on embedded software for cutting-edge infotainment and autonomous driving technologies. Candidates should possess strong programming skills in C/C++, Java, and Python, with experience in debugging and embedded platforms. This position offers a competitive salary ranging from $157,600 to $236,400 along with a comprehensive benefits package, supporting a successful work-life balance.

#J-18808-Ljbffr



## Qualifications
* You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles
* You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor
* You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end
* 5+ years in backend software development, with a focus on AI
* Experience building internal or customer-facing products with LLMs
* Expertise in building efficient, large-scale software systems
* Skill in writing high-quality, maintainable code
* Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems;
* Excellent communication and mentoring abilities
* A relevant degree in Computer Science, Mathematics or related fields
## Benefits
* The Global Treasury and Payment Network (GTPN) team sits at the core of Airwallex’s payment infrastructure
* Compensation Range: $200K - $250K
## Responsibilities
* You’ll collaborate closely with product managers, designers, and engineers across regions to build and enhance products that not only meet but exceed our customers’ expectations
* As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers
* You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale
* Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio
* If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us
* Build AI solutions to enable growth and drive internal efficiency across the business
* Design and implement robust API and system architecture for new AI applications
* Collaborate closely with a cross-functional team to bring these AI solutions to life
* Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation

## Full Description
About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

The Opportunity:

The Global Treasury and Payment Network (GTPN) team sits at the core of Airwallex’s payment infrastructure. As Airwallex’s very first product and still the largest revenue driver across the company, GTPN underpins many of our most critical customer experiences. We operate at the intersection of traditional and modern finance, expanding the reach of our global treasury and payment network, strengthening its capabilities and reliability, and delivering innovative payment products built on a robust financial foundation.

GTPN is a truly global, cross-site engineering organization, with talented engineers in existing and emerging hubs such as the US, Singapore, Hong Kong, and Shanghai. As we continue to scale worldwide, we’re looking for passionate Senior Software Engineers to join us. You’ll collaborate closely with product managers, designers, and engineers across regions to build and enhance products that not only meet but exceed our customers’ expectations.

About the Role:

As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers. You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale. Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio.

If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us.

Responsibilities:

Build AI solutions to enable growth and drive internal efficiency across the business.

Design and implement robust API and system architecture for new AI applications.

Collaborate closely with a cross-functional team to bring these AI solutions to life.

Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation.

Minimum qualifications:

• 5+ years in backend software development, with a focus on AI.

• Experience building internal or customer-facing products with LLMs.

• Expertise in building efficient, large-scale software systems.

• Skill in writing high-quality, maintainable code.

• Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems;

• Excellent communication and mentoring abilities.

• A relevant degree in Computer Science, Mathematics or related fields.

Preferred qualifications:

• Familiarity with MLOps practices and deployment pipelines for AI-driven products.

• Past experience in payments or FinTech.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Compensation Range: $200K - $250K



Remote Medical Expert - AI Trainer

Qualifications

Benefits

Responsibilities

Full Description

Benefits include flexible remote work, competitive compensation, and ongoing professional development opportunities.