Job description

Role: Forward Deployed AI Engineer Location: Dallas, Orlando and Stratford - On-site

Position Type: Contract

Key Responsibilities:

Develop and deploy Lighthouse AI agents (e.g., Supply Chain Risk, Program Financial Analytics) using the Strands Agents SDK and Amazon Bedrock (Claude).

Write optimized SPARQL queries and build Model Context Protocol (MCP) servers to connect the agents to the existin...g Amazon Neptune RDF knowledge graph.

Implement multi-agent orchestration patterns (Swarm, Graph) in code, enabling agents to pass context and trigger actions across different Functional Control Towers (FCTs).

Code and configure Agent Standard Operating Procedures (SOPs) and Steering Hooks to ensure deterministic, highly accurate agent behavior in mission-critical scenarios. Implement runtime security guardrails (Agent Control) to enforce ITAR and CUI data segregation, ensuring agents only access and process authorized program data.

Collaborate daily with Client s internal data engineers and domain SMEs to iterate on agent performance and accuracy.

Required Skills & Qualifications:

7+ years of experience in software engineering, with at least 2 years focused on AI/ML engineering, LLM application development, or agentic systems.

Mandatory Technical Stack: Deep proficiency in Python, AWS (GovCloud preferred), Amazon Bedrock, and graph database querying (SPARQL/Gremlin for Amazon Neptune). Agent Framework Experience: Hands-on experience building with agent frameworks such as Strands Agents, LangGraph, AutoGen, or CrewAI.

Defense Manufacturing Context: Proven experience working with defense, aerospace, or complex manufacturing data systems (e.g., ERP, PLM, MES, EVMS).

Must understand the structure of a Bill of Materials (BOM) and the basics of defense program finance.

Experience implementing Model Context Protocol (MCP) or similar tool-calling architectures for LLMs.

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Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience

• Experience deploying and managing machine learning models in production environments

• Skilled in building and maintaining CI/CD pipelines for machine learning workflows

• Proficient with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes)

• Familiar with monitoring and logging tools (Prometheus, Grafana, ELK Stack)

• Advanced Python programming skills

• Strong problem-solving skills and attention to detail

• Effective communicator, able to collaborate with cross-functional teams

• Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience

• 6 more items(s)

Responsibilities

• Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations

• In this role, you’ll work independently and apply your skills in data analysis, statistics, and data engineering to deliver machine learning models that drive real business outcomes

• As an ML Ops Engineer within Corporate Sector in Cybersecurity & Tech Controls team, you will deploy, monitor, and manage machine learning models in production environments using the latest technologies

• You’ll automate model deployment, optimize infrastructure, and ensure AI systems perform reliably and efficiently

• Your collaboration with cross-functional teams and your problem-solving skills will help drive innovation and deliver impactful AI solutions

• Work closely with data scientists and software engineers to integrate machine learning models into applications

• Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient

• Build and maintain CI/CD pipelines to automate testing, deployment, and updates for machine learning models

• Manage and optimize infrastructure for running models, including cloud services, Docker, and Kubernetes

• Set up monitoring and logging to track model performance, detect anomalies, and ensure smooth operation

• Maintain version control for models and data, supporting traceability and compliance

• Apply security best practices and ensure models meet regulatory standards

• 9 more items(s)

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Job description

JOB DESCRIPTION

Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role, you’ll work independently and apply your skills in data analysis, statistics, and data engineering to deliver machine learning models that drive real business outcomes. You’ll join a global Cybersecuri...ty team, collaborating with technologists and innovators who protect our assets every day.

As an ML Ops Engineer within Corporate Sector in Cybersecurity & Tech Controls team, you will deploy, monitor, and manage machine learning models in production environments using the latest technologies. You’ll automate model deployment, optimize infrastructure, and ensure AI systems perform reliably and efficiently. Your collaboration with cross-functional teams and your problem-solving skills will help drive innovation and deliver impactful AI solutions.

Job responsibilities

• Work closely with data scientists and software engineers to integrate machine learning models into applications.

• Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient.

• Build and maintain CI/CD pipelines to automate testing, deployment, and updates for machine learning models.

• Manage and optimize infrastructure for running models, including cloud services, Docker, and Kubernetes.

• Set up monitoring and logging to track model performance, detect anomalies, and ensure smooth operation.

• Maintain version control for models and data, supporting traceability and compliance.

• Apply security best practices and ensure models meet regulatory standards.

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.

• Experience deploying and managing machine learning models in production environments.

• Skilled in building and maintaining CI/CD pipelines for machine learning workflows.

• Proficient with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes).

• Familiar with monitoring and logging tools (Prometheus, Grafana, ELK Stack).

• Advanced Python programming skills.

• Strong problem-solving skills and attention to detail.

• Effective communicator, able to collaborate with cross-functional teams.

• Bachelor’s degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.

Preferred qualifications, capabilities, and skills

• Experience deploying and managing large-scale machine learning models in production.

• Ability to monitor models in production and address performance and data quality issues.

• Working knowledge of security best practices and compliance standards for ML systems.

• Experience optimizing infrastructure for performance and efficiency.

• Developed REST APIs using frameworks like Flask or FastAPI.

• Familiarity with synthetic datasets for model training and evaluation.

#LI-RB3

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Job description

Software Engineer - AI (Legal) – CoCounsel Forward Deployed Engineering

Are you excited about building AI solutions that help legal professionals work faster, smarter, and with greater confidence? Do you enjoy operating at the intersection of engineering, legal workflows, and real-world client problems? Join Thomson Reuters' CoCounsel Forward Deployed Engineering team — a high-impact group focused... on delivering practical legal AI solutions to law firms and corporate legal departments. With one million professionals relying on CoCounsel across 107 countries, the work you do here will have meaningful impact.

What You'll Be Part Of

Over 20,000 law firms and corporate legal departments, along with the majority of top US courts and Am Law 100 firms, already trust CoCounsel. The Forward Deployed Engineering team works directly on high-value, real-world legal AI problems — partnering closely with clients and internal teams to shape how AI is adopted in legal practice. If you want to help build AI systems that legal professionals can trust in important moments of their work, this is the team.

About the Role

As a Software Engineer - AI (Legal),

• You will partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers.

• You will help translate legal workflows and business needs into reliable technical solutions that combine foundation models, proprietary AI capabilities, and legal-domain understanding.

• This role is ideal for someone who enjoys hands-on engineering, client-facing problem solving, and applied AI development.

• You will contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases.

• You will play an important role in ensuring the systems we deploy are practical, accurate, secure, and aligned with the high standards required in legal environments.

• Support client engagements by participating in technical discovery sessions, gathering requirements, and helping scope legal AI use cases.

• Work with legal and technical stakeholders to understand workflows, pain points, and desired outcomes.

• Assist with demonstrations, proofs of concept, and early-stage prototypes that inform solution design.

• Develop working knowledge of legal terminology, legal processes, and operational constraints in law firms and corporate legal departments.

• Design, develop, and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis.

• Build and support retrieval-augmented generation (RAG) pipelines, agentic workflows, and other multi-component AI systems.

• Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other enterprise platforms where applicable.

• Develop automation scripts, APIs, and integration components tailored to customer environments and use cases.

• Collaborate with senior engineers and architects to ensure solutions are scalable, maintainable, and secure.

• Help evaluate LLM outputs for legal accuracy, relevance, citation quality, consistency, and hallucination risk.

• Contribute to test cases, benchmarks, and evaluation workflows based on real legal tasks.

• Partner with internal teams to validate new capabilities against real-world legal use cases.

• Support compliance with responsible AI principles, data privacy requirements, and enterprise security standards.

• Translate functional requirements into technical tasks and contribute to implementation planning.

• Document solutions, reusable components, and engineering best practices for internal use.

• Experiment with prompting strategies, workflow improvements, and emerging AI techniques to improve legal use-case performance.

• Stay current with developments in AI engineering, legal technology, and applied LLM systems.

About You:

You’re fit for the role of Software Engineer - AI (Legal) if your background includes:

• JD, formal legal training, or meaningful experience working in legal practice, legal operations, legal technology, or closely related environments.

• Familiarity with legal terminology and interest in legal workflows and legal AI applications.

• 2–4 years of software engineering experience, including experience building applications or integrations in production environments.

• Hands-on experience with Python and familiarity with modern AI/ML tooling and APIs.

• Understanding of core machine learning and LLM concepts, including prompt design, evaluation, and workflow orchestration.

• Experience integrating external APIs, automating workflows, or building data pipelines.

• Strong communication skills and ability to work effectively with cross-functional teams, including legal, product, and engineering stakeholders.

• Comfortable working in fast-paced environments, learning quickly, and contributing across multiple projects.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Familiarity with containerization, deployment workflows, and modern software development practices.

• Experience using AI platforms or APIs such as OpenAI, Anthropic, or similar providers.

• Exposure to vector databases, embeddings, search, or retrieval systems.

• Experience working on AI solutions in legal, compliance, financial, healthcare, or other regulated/professional domains.Portfolio or project examples demonstrating practical use of LLMs, automations, or applied AI systems.

#LI-GK1

What’s in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $109,000 USD - $203,000 USD.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $94,900 USD - $176,300 USD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

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Job description

We are looking for a deeply committed Technical Program Manager who has successfully shipped cutting-edge AI models in aerospace & robotics, managed relationships with customers, has exceptional software engineering management knowledge, and thrives in fast-paced, unstructured environments.

What you’ll do

• Contribute hands-on to AI model and product development, including pretraining, fine-tunin...g, evaluation, and deployment

• Translate product goals into actionable roadmaps

• Plan and execute product development initiatives, owning timelines and delivery

• Influence org structure and hiring

• Mentor team members

Qualifications

• Master’s degree or PhD in Engineering, Computer Science, Mathematics or related field, or equivalent experience.

• 4+ years of experience in technical program management or applied AI/ML roles, ideally in high-growth startups or fast-paced research orgs.

• Expertise with one or more of computer vision, vision-language models, or foundation model development.

• Experience working with academic / PhD-level researchers

• Strong track record of turning ambiguous technical goals into successfully shipped models, features, tools, or systems.

• Preferred: 1+ years robotics experience

Our team

Our team is composed of AI pioneers and leaders from Google DeepMind, Shield AI, Caltech & MIT. Several of us are repeat founders, with deep commercialization insights across multiple enterprise segments. We enjoy long, deep ideations around entirely unexplored AI use cases in autonomy.

Who you are

• Learn-it-all, not know-it-all: you have an innate curiosity for all things intellectual, and it’s something you can’t turn off. You obsess over finer details others miss.

• High intensity: you thrive in a high-stakes environment, and are driven by an innate obsession, not by others.

• Fast learner: you gravitate toward learning new things, and often find yourself learning more quickly than everyone around you.

• Driven by discomfort: you enjoy leaving your comfort zone and challenging yourself

• Creative: track record of solving hard problems with solutions worthy of academic papers

• Educator: you take pride in your ability to communicate complex topics clearly and have excellent speaking and writing skills.

• Zero ego: you don’t just take feedback, but see it as a gift. You don’t wait until feedback is given, but solicit it with every opportunity.

• Founder mentality: you roll up your sleeves to help solve the most pressing problem on a given day, even if it has nothing to do with this job post.

Location

Bay Area, Los Angeles, or San Diego

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Job description

This isn't your typical marketing job. We're building something different, a multi-venture real estate ecosystem anchored by ClearPath Estate Services, and we need the right person to build the "brains" behind it.

Your primary focus will be scaling ClearPath, an estate services brand designed to identify and assist homeowners in transition. You'll also serve as a technical right hand across our r...esidential real estate team and real estate development company, using AI to build marketing systems that generate leads, automate follow-ups, and create content that converts.

If you see a manual task and your first instinct is to find an API, you're exactly who we're looking for.

Compensation:

$25 - $50 hourly

Responsibilities:

What You'll Do

• Build and manage automated marketing workflows using tools like Claude, ChatGPT, Zapier, and Make.com

• Run digital lead generation for our estate services brand, local SEO, Google Ads, and inbound funnel management

• Automate lead nurturing and follow-up sequences for our real estate sales pipeline

• Create and manage social media, email campaigns, and blog content using AI tools

• Support our development company with AI-powered outreach and project management systems

• Act as a tech-savvy operational assistant, summarizing meetings, organizing data, and solving problems fast

Qualifications:

Who You Are

• You're fluent in AI tools, not just using them, but building workflows and prompts that do real work

• You understand marketing funnels from top to bottom and know what moves a lead to a conversion

• You can context-switch between a creative campaign and a data task without missing a beat

• You'd rather build a system that runs overnight than repeat the same task twice

• Background in Marketing, Communications, or Business Analytics with a serious personal interest in AI

About Company

ClearPath Estate Services is a tech-forward estate services company built around one core idea: find homeowners in transition before anyone else does. We use estate sales as our entry point — connecting families with trusted liquidation professionals while positioning ourselves to assist with what comes next: the home. Our model is simple and it works. We don't run the sales ourselves — we facilitate them, build trust, and stay close to the real opportunity.

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Job description

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers.

Academic, Enterprise and government groups around the world are using NVIDIA products to revolutionize de...ep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation

What you will be doing:

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.

• Be the domain expert with partners during planning calls through implementation.

• Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world!

• Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products.

• Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).

• Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).

• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.

• Scripting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc.

• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.

• An ability to travel to customer sites within the United States up to 30% of the time.

• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

Ways to Stand out from the crowd:

• InfiniBand experience.

• Experience with GPU (Graphics Processing Unit) focused hardware/software.

• Experience with MPI (Message Passing Interface).

• Storage technologies such as Lustre or GPFS.

• Familiarity with OEM GPU platforms

• Strong channel sales and services knowledge and partner co-selling experience

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Qualifications

• High School Diploma

• At least 5 years of experience in consulting, AI strategy, digital transformation, or commercialization roles

• Demonstrating advanced knowledge of Generative AI tools

• Driving execution of Commercial AI strategy

• Evaluating complex business challenges strategically

• Leading quantitative analysis for strategic decisions

• Influencing senior stakeholders with executive presence

• Designing scalable enablement frameworks

• Committing to continuous learning in AI trends

• Building and maintaining internal and external networks

• For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws

• 8 more items(s)

Benefits

• The salary range for this position is: $73,500 - $212,280

• For residents of Washington state the salary range for this position is: $73,500 - $244,000

• Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws

• All hired individuals are eligible for an annual discretionary bonus

• PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more

• 2 more items(s)

Responsibilities

• At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation

• This includes managing schedules, coordinating meetings, and handling confidential information

• Those in operations and strategy at PwC will track, manage, and report on strategic initiatives and projects

• In this role, you will support leaders by handling key responsibilities, representing their point of view in meetings and decisions, and anticipating their future needs

• Additionally, you will organise leadership team calls and meetings, oversee research and data analysis, promote consistent execution across sectors, and collaborate across lines of service for knowledge sharing and promoting technology/tools for sales and delivery

• Enhancing your leadership style, you motivate, develop and inspire others to deliver quality

• You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations

• You embrace technology and innovation to enhance your delivery and encourage others to do the same

• Analyse and identify the linkages and interactions between the component parts of an entire system

• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion

• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables

• Develop skills outside your comfort zone, and encourage others to do the same

• Effectively mentor others

• Use the review of work as an opportunity to deepen the expertise of team members

• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate

• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements

• As part of the AI Commercialization team you will lead the execution of our firm's AI commercialization strategy across key leadership segments and priority accounts

• As a Manager you will drive measurable AI adoption, influence go-to-market strategy, and embed scalable AI-enabled approaches into commercial operations

• This role operates at the intersection of AI capability, commercial growth, and transformation, translating AI initiatives into revenue-aligned results and maintaining a stable competitive edge

• Integrate scalable solutions into business processes

• Maintain a competitive advantage through innovative AI applications

• Work with leadership to align AI efforts with business objectives

• Foster a culture of continuous improvement and transformation in AI practices

• 20 more items(s)

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Industry/Sector

Not Applicable

Specialism

Activation & Customer Success

Management Level

Manager

Job Description & Summary

At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information.

Those ...in operations and strategy at PwC will track, manage, and report on strategic initiatives and projects. In this role, you will support leaders by handling key responsibilities, representing their point of view in meetings and decisions, and anticipating their future needs. Additionally, you will organise leadership team calls and meetings, oversee research and data analysis, promote consistent execution across sectors, and collaborate across lines of service for knowledge sharing and promoting technology/tools for sales and delivery.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.

• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

• Develop skills outside your comfort zone, and encourage others to do the same.

• Effectively mentor others.

• Use the review of work as an opportunity to deepen the expertise of team members.

• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the AI Commercialization team you will lead the execution of our firm's AI commercialization strategy across key leadership segments and priority accounts. As a Manager you will drive measurable AI adoption, influence go-to-market strategy, and embed scalable AI-enabled approaches into commercial operations. This role operates at the intersection of AI capability, commercial growth, and transformation, translating AI initiatives into revenue-aligned results and maintaining a stable competitive edge.

Responsibilities

- Integrate scalable solutions into business processes

- Maintain a competitive advantage through innovative AI applications

- Work with leadership to align AI efforts with business objectives

- Foster a culture of continuous improvement and transformation in AI practices

What You Must Have

- High School Diploma

- At least 5 years of experience in consulting, AI strategy, digital transformation, or commercialization roles

What Sets You Apart

- Bachelor's Degree preferred

- Demonstrating advanced knowledge of Generative AI tools

- Driving execution of Commercial AI strategy

- Evaluating complex business challenges strategically

- Leading quantitative analysis for strategic decisions

- Influencing senior stakeholders with executive presence

- Designing scalable enablement frameworks

- Committing to continuous learning in AI trends

- Building and maintaining internal and external networks

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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Qualifications

• You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines

• You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera)

• You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines

• You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows,

• including Scrum and Kanban

• You areexperiencedin at least oneprogramming languages (Python, Java,.NET)

• You can effectively partner and collaborate with stakeholder teams

• You have effective communication skills andthe abilityto outline security riskstoleadership

• 5 more items(s)

Benefits

• Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide

• You'll receive a competitive salary, bonuses and benefits

• Your company-funded retirement contribution will factor in salary and variable pay, including bonuses

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

• Southern California Base Salary Range: $226,893-$363,029

• New York Base Salary Range: $240,519-$384,830

• In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings

• You can learn more about our compensation and benefits here

• Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans

• 8 more items(s)

Responsibilities

• As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocuredAI solutions

• You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group

• Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops

• AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders

• Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems

• Contribute to Standards and Policies:You will providethought leadership for

• Information Security policies and standards for AIin collaboration with technology risk

• AI/Agent SME:Youwill provideAI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents

• 5 more items(s)

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Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a cul...ture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a AI AppSec Engineer Lead at Capital Group"

As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocuredAI solutions.You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group.You'llcollaborate with platformengineering, security engineering, and risk teams toensure their solutions support scalable, secureadoption of AI.

Additionally,you'llbe expected toprovidementoring,advising diverse teams across the organization, andpromotingAI Securityprinciples acrossCapital Group.

• Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops.

• AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders

• Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems

• Contribute to Standards and Policies:You will providethought leadership forInformation Security policies and standards for AIin collaboration with technology risk

• AI/Agent SME:Youwill provideAI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents

"I am the person Capital Group is looking for."

• You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines.

• You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera)

• You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines

• You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows,

including Scrum and Kanban

• You areexperiencedin at least oneprogramming languages (Python, Java,.NET)

• You can effectively partner and collaborate with stakeholder teams.

• You have effective communication skills andthe abilityto outline security riskstoleadership.

Preferred Qualifications:

• Youhave knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers

• You are familiar withfunctionand purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (ExamplesLangChain,LlamaIndex, etc.)

• You are familiar withkey AI regulatory frameworks such asNIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc

• You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.)

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $226,893-$363,029

New York Base Salary Range: $240,519-$384,830

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

• Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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Job description

Director, Machine Learning Science - Content AI

• United States - California - San Jose

• Technology

• Full-Time Regular

• 03/05/2026

• ID # R-99423-1

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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for ...our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.

Director, Machine Learning Science - Content AI

Introduction to the Team:

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

Are you ready to lead the revolution in how travel content is generated, moderated, and delivered? Expedia Group is seeking a Director of Machine Learning Science to lead our Content AI strategy and execution.

In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized.

In this role, you will:

• Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem.

• Lead AI Innovation: Spearhead the deployment of cutting-edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms.

• Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks.

• Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale.

• Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting-edge experimentation with new GenAI features.

• Influence & Collaborate: Foster cross-functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI-generated content into the core user experience seamlessly.

• Build a World-Class Team: Recruit, mentor, and manage a high-performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation.

Minimum Qualifications:

• Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics; or relevant equivalent experience.

• 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems.

• 5+ years of people management experience, with a track record of leading high-performing science teams in a tech-first environment.

• Hands-on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine-tuning). You understand the challenges of hallucination, latency, and cost optimization.

• Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation and Relevance, creating rich and immersive user experiences.

• A proven track record of taking high-risk, high-reward ML projects from proof-of-concept to large-scale production serving millions of users.

Preferred Qualifications:

• Agentic AI Experience: Experience building and deploying Agentic workflows. You have experience with agents that demonstrate tool use, planning, and reasoning capabilities.

• Ability to translate complex AI concepts into clear business value for executive stakeholders.

The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The ...Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.

This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.

Essential Duties

Include, but are not limited to, the following:

• Support implementation of enterprise standards for AI safety, transparency, and reliability.

• Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.

• Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.

• Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.

• Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.

• Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.

• Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.

• Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.

• Support and comply with the company’s Quality Management System policies and procedures.

• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.

• Maintain regular and reliable attendance.

• Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• 8 years of experience in software, ML systems, or platform engineering.

• Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).

• Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).

• Experience developing scalable and compliant ML systems and tools.

• Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

• Master’s degree in Computer Science, Data Engineering, or AI.

• Experience implementing AI assurance, observability, or risk management frameworks.

• Knowledge of GenAI, LLM evaluation, and prompt safety practices.

• Familiarity with FDA, HIPAA, or GxP compliance standards.

#LI-CB1

Salary Range:

$184,000.00- $276,000.00

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems... within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies.

Ultimately, our mission is to drive financial well-being for millions of consumers. We aim to put financial well-being on autopilot to help solve this problem.

Role Overview

Reporting directly to the VP of Marketing, Jack Chawla. you will serve as a high-impact Player-Coach responsible for scaling a world-class Business Development team. You will lead a high-performing pod of BDRs while maintaining a personal quota, modeling the exact outbound excellence required to penetrate the credit union and banking sectors. By optimizing our tech stack and refining our ICP, you'll play a pivotal role in accelerating our pipeline and shaping the future of our sales organization.

What You'll Do:

• Lead by example, coach a pod of 3‑6 BDRs - daily stand‑ups, call reviews, and data‑driven feedback loops

• Carry your own "player‑coach" quota for qualified meetings, consistently exceeding target to model best practice

• Design, test, and optimize multi‑touch cadences in Apolloio, Sybill.ai, Zoominfo, Nooks, HubSpot, and Salesforce (email, phone, LinkedIn, video)

• Build automated list segmentation, triggers, and enrichment workflows that keep the funnel full and clean

• Partner with Account Executives, Marketing and RevOps to refine ICP, territory plans, and hand‑off SLAs to AEs

• Analyze funnel metrics, surface insights, and present weekly dashboards to Sales leadership

• Recruit and onboard new BDRs, scaling playbooks as the team doubles in size

• Build AI SDR flows for low signal inbound leads

• Hire and train new BDRs and create a career path for BDRs to AE roles.

What You'll Bring:

• 2+ years managing a small BDR/SDR team and 2+ years of individual‑contributor success (≥ 100 % to meetings quota for 4+ quarters)

• Preferred: Expertise prospecting credit unions and community/regional banks—you speak their language and know their buying cycles

• A knack for writing punchy, value‑led copy that turns cold prospects into warm meetings

• Data‑driven coaching mindset; you love A/B tests, talk‑track scorecards, and win‑loss reviews

• Bay Area residency and willingness to work from our offices in the South Bay 4‑5 days per week

Bonus Points:

• FinTech, SaaS, or AI‑for‑CX background

• Familiarity with revenue‑intelligence tools (Sybill) and intent data providers (ZoomInfo)

• Knowledge of banking industry

• Skill in using prompt engineering techniques to enhance productivity, drive efficiency, and decision-making with generative AI tools.

• Built AI SDR flow

Compensation:

• Total compensation is expected to be between $140,000 - $200,000. Total compensation is a mix of salary and variable compensation. Exact compensation may vary based on skills and location.

Benefits

• 💡 100% paid health, dental & vision care

• 💰 401(k) match & financial wellness perks

• 🌴 Discretionary PTO + paid parental leave

• 🧠 Mental health, wellness & family benefits

• 🚀 A mission-driven team shaping the future of banking

At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

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Forward Deployed AI Engineer- Onsite

Zero to AI Engineer