AI Product Engineer Visa Sponsorship Jobs in Washington DC
Washington DC is a growing hub for AI product engineers, with federal contractors like Booz Allen Hamilton, Leidos, and SAIC, alongside tech-forward agencies and startups, actively hiring. The region's concentration of government technology, defense, and cybersecurity work creates consistent demand for AI product talent, and many of these employers have established visa sponsorship programs.
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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 Product Engineer Job Roles in Washington DC
See all 34+ AI Product Engineer Jobs in Washington DC
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Search AI Product Engineer Jobs in Washington DCAI Product Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Washington DC?
Federal contractors and technology firms dominate AI product engineer sponsorship in the DC area. Booz Allen Hamilton, Leidos, SAIC, Accenture Federal Services, and Deloitte Government and Public Services are among the most active sponsors. Commercial tech companies with DC offices, including Amazon Web Services and Microsoft, also regularly file H-1B petitions for AI product engineering roles in the region.
Which visa types are most common for AI product engineer roles in Washington DC?
The H-1B is the most common visa for AI product engineers in Washington DC, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field. Candidates with advanced degrees may also see EB-2 immigrant visa pathways pursued by employers. Australians may find E-3 visa options with qualifying DC-area employers.
How to find ai product engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters AI product engineer roles specifically by sponsorship availability and location, making it straightforward to find Washington DC employers actively willing to sponsor. Because many DC-area firms work on government contracts with clearance requirements, using a targeted platform like Migrate Mate helps you focus on roles open to international candidates rather than sifting through positions that require existing citizenship or clearances.
Which areas in Washington DC have the most AI product engineer sponsorship jobs?
The highest concentration of AI product engineer roles with sponsorship sits in the broader DC metro corridor, particularly in Tysons Corner, Bethesda, and Rosslyn in Virginia and Maryland suburbs. These areas house large federal contractor campuses and commercial tech offices. Downtown DC itself hosts consulting firms and agency-facing startups, but the Virginia side of the metro tends to have the densest cluster of AI-focused engineering openings.
Are there any Washington DC-specific considerations for AI product engineers seeking visa sponsorship?
A significant portion of DC-area AI product engineering roles are tied to federal government contracts, which often require security clearances. Clearance-required positions are generally not available to non-citizens, so international candidates should specifically target commercial or unclassified government-adjacent work. Universities such as Georgetown, George Washington, and the University of Maryland also feed talent pipelines into regional tech employers, some of whom maintain active sponsorship programs for graduates.
What is the prevailing wage for sponsored ai product engineer 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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