AI ML Engineering Visa Sponsorship Jobs in Washington DC
Washington DC's AI and ML engineering market is anchored by federal contractors, defense agencies, and policy-focused tech firms like Booz Allen Hamilton, Leidos, and Palantir. Demand spans national security, health data, and government AI initiatives. Many employers here have established visa sponsorship programs, making DC one of the more active markets for international AI and ML engineering candidates.
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Get Access To All JobsAI Product Owner – Consulting Analyst
Location: Washington DC
About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?
About the role
An AI Product Owner bridges the gap between business strategy and AI development, acting as the primary owner of the product backlog for AI-driven solutions. Unlike a traditional Product Owner, this role requires specialized knowledge of machine learning, data quality, and model performance to ensure AI applications are accurate, ethical, and valuable.
In this role you will
- Product Strategy & Roadmap: Define the vision and roadmap for AI features (e.g., recommendation engines, chatbots) that align with business goals.
- Backlog Management: Define, prioritize, and maintain the AI product backlog, creating actionable user stories and acceptance criteria based on experimental data.
- Cross-Functional Collaboration: Serve as the central hub between stakeholders, data scientists, machine learning engineers, and designers, facilitating technical understanding and business feasibility.
- Model Performance & Evaluation: Monitor AI model performance post-launch, tracking KPIs such as accuracy, false-positive rates, automation rates, and cost-per-transaction.
- Data & Ethical Governance: Ensure data quality and address ethical concerns, such as bias mitigation, data privacy, and compliance with regulations like GDPR or the EU AI Act.
- Agile Delivery: Participate in all Scrum ceremonies (stand-ups, sprint planning, reviews, and retrospectives) to guide the delivery team.
Required Skills & Qualifications
- Experience: 3–5+ years in a Product Owner, Business Analyst, or similar role, with direct experience in AI, Machine Learning, or data science projects.
- AI Acumen: Understanding of LLMs, Generative AI, RAG (Retrieval-Augmented Generation), and MLOps to make informed technical trade-offs.
- Technical Familiarity: Proficiency in data tools (SQL, Python) to analyze data and communicate efficiently with engineers.
- Communication: Ability to translate complex technical concepts into actionable business requirements and vice-versa.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires 3-4 days a week in a client office (Washington DC). Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Compensation
- $86,500-$101,500
- This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Medical, dental, vision and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
Post closing date
Applications will be accepted until 04/31/2026
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
AI Product Owner – Consulting Analyst
Location: Washington DC
About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?
About the role
An AI Product Owner bridges the gap between business strategy and AI development, acting as the primary owner of the product backlog for AI-driven solutions. Unlike a traditional Product Owner, this role requires specialized knowledge of machine learning, data quality, and model performance to ensure AI applications are accurate, ethical, and valuable.
In this role you will
- Product Strategy & Roadmap: Define the vision and roadmap for AI features (e.g., recommendation engines, chatbots) that align with business goals.
- Backlog Management: Define, prioritize, and maintain the AI product backlog, creating actionable user stories and acceptance criteria based on experimental data.
- Cross-Functional Collaboration: Serve as the central hub between stakeholders, data scientists, machine learning engineers, and designers, facilitating technical understanding and business feasibility.
- Model Performance & Evaluation: Monitor AI model performance post-launch, tracking KPIs such as accuracy, false-positive rates, automation rates, and cost-per-transaction.
- Data & Ethical Governance: Ensure data quality and address ethical concerns, such as bias mitigation, data privacy, and compliance with regulations like GDPR or the EU AI Act.
- Agile Delivery: Participate in all Scrum ceremonies (stand-ups, sprint planning, reviews, and retrospectives) to guide the delivery team.
Required Skills & Qualifications
- Experience: 3–5+ years in a Product Owner, Business Analyst, or similar role, with direct experience in AI, Machine Learning, or data science projects.
- AI Acumen: Understanding of LLMs, Generative AI, RAG (Retrieval-Augmented Generation), and MLOps to make informed technical trade-offs.
- Technical Familiarity: Proficiency in data tools (SQL, Python) to analyze data and communicate efficiently with engineers.
- Communication: Ability to translate complex technical concepts into actionable business requirements and vice-versa.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires 3-4 days a week in a client office (Washington DC). Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Compensation
- $86,500-$101,500
- This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Medical, dental, vision and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
Post closing date
Applications will be accepted until 04/31/2026
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
AI ML Engineering Job Roles in Washington DC
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Search AI ML Engineering Jobs in Washington DCAI ML Engineering Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Washington DC?
Federal contractors and defense-adjacent tech firms are among the most active sponsors in DC. Companies like Booz Allen Hamilton, Leidos, SAIC, Palantir, and Deloitte regularly hire AI and ML engineers and have established H-1B sponsorship histories. Larger commercial tech firms with DC offices, including Amazon Web Services and Microsoft, also sponsor international talent for these roles. Sponsorship activity can be verified through Department of Labor LCA disclosure data.
Which visa types are most common for AI ML engineering roles in Washington DC?
The H-1B is the most common visa for AI and ML engineering roles in DC, as these positions typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, engineering, or a related field. Candidates already holding L-1B visas through intracompany transfers are also present, particularly at large consulting firms. Those with exceptional research credentials may qualify for the O-1A. Australian citizens can additionally explore the E-3 visa as an H-1B alternative.
How to find ai ml engineering visa sponsorship jobs in Washington DC?
Migrate Mate filters AI and ML engineering jobs specifically to employers with visa sponsorship histories, saving you from sorting through roles that won't consider international candidates. For DC, focus on federal contractors and defense tech firms, which represent a large share of local AI hiring. Migrate Mate lets you search by role and location, so you can quickly identify which Washington DC employers are actively sponsoring for AI and ML positions.
Which areas in Washington DC have the most AI ML engineering sponsorship jobs?
Most AI and ML engineering activity in the DC metro area concentrates in a few corridors. The District itself houses government agencies and policy-focused tech offices. Northern Virginia, particularly the Rosslyn-Ballston corridor and areas around Tysons Corner and Reston, is home to a dense cluster of federal contractors and cloud infrastructure companies. Maryland's I-270 tech corridor, near Bethesda and Rockville, also has significant presence, especially in health data and biodefense AI.
Are there any DC-specific considerations for AI ML engineers seeking visa sponsorship?
Security clearance eligibility is a meaningful factor in the DC market. Many federal contractor roles require at least a Secret clearance, which non-US citizens and recent green card holders generally cannot obtain. This narrows the pool of sponsoring employers for international candidates toward clearance-exempt commercial and civilian agency roles. University pipelines through Georgetown, George Mason, and the University of Maryland also feed local AI hiring and occasionally connect international graduates with sponsoring employers.
What is the prevailing wage for sponsored ai ml engineering jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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