AI ML Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest markets in the U.S. for AI/ML engineer visa sponsorship, driven by a dense concentration of federal contractors, defense tech firms, and cloud infrastructure companies across Northern Virginia, Arlington, and Reston. Major employers including Booz Allen Hamilton, Leidos, Amazon Web Services, and Capital One actively hire and sponsor international AI/ML talent.
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The Amazon Web Services (AWS) Data Center Delivery Operations team seeks a Senior Program Manager to serve as the operational backbone of the Machine Learning (ML) Capacity Delivery organization. The person in this seat owns the rhythm of the business, ensures leadership is always decision-ready, and drives the mechanisms that keep a large, fast-moving ML infrastructure delivery organization aligned and accountable. The Senior Program Manager operates with full autonomy, shapes operating strategy, and influences outcomes at the Director and Vice President level.
Key job responsibilities
- Own the ML Capacity Delivery rhythm of business end-to-end — design, run, and continuously improve the operating cadence across weekly business reviews (WBRs), monthly business reviews (MBRs), and quarterly business reviews (QBRs); ensure each mechanism produces decisions, not just updates.
- Drive organizational goal-setting and goal-tracking cycles; partner with senior leaders to translate ML capacity delivery strategy into measurable quarterly and annual goals, track progress against them weekly, and surface risks before they become misses.
- Own document readiness for all leadership forums; set and enforce timelines for narrative preparation, pre-read distribution, and post-meeting action tracking; hold contributors accountable to quality and deadline standards.
- Author and edit executive-level narratives, escalation memos, and business review documents on behalf of the ML Capacity Delivery leadership team; produce clear, data-driven written communication for Director and VP audiences with no supervision.
- Serve as the primary coordination layer across stakeholders — including finance, recruiting, engineering, and technical program management — to resolve cross-functional dependencies, align on priorities, and drive decisions at pace.
- Identify gaps in organizational visibility; build and maintain reporting dashboards and scorecards that give leadership a real-time view of ML capacity delivery health, headcount, and program milestones.
- Lead the annual and mid-year headcount planning cycle for the ML Capacity Delivery organization; partner with finance and recruiting to translate demand signals into staffing plans with clear owners and milestones.
- Manage the leadership team's strategic calendar — sequence the right conversations at the right cadence, eliminate redundant forums, and protect senior leader time for high-leverage decisions.
- Mentor junior program managers on operating rigor, written communication standards, and stakeholder management; establish and codify best practices across the organization.
BASIC QUALIFICATIONS
- 6+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of cross functional project delivery experience
- 5+ years of program or project management experience
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Herndon - 127,200.00 - 172,100.00 USD annually
USA, WA, Seattle - 127,200.00 - 172,100.00 USD annually
DESCRIPTION
The Amazon Web Services (AWS) Data Center Delivery Operations team seeks a Senior Program Manager to serve as the operational backbone of the Machine Learning (ML) Capacity Delivery organization. The person in this seat owns the rhythm of the business, ensures leadership is always decision-ready, and drives the mechanisms that keep a large, fast-moving ML infrastructure delivery organization aligned and accountable. The Senior Program Manager operates with full autonomy, shapes operating strategy, and influences outcomes at the Director and Vice President level.
Key job responsibilities
- Own the ML Capacity Delivery rhythm of business end-to-end — design, run, and continuously improve the operating cadence across weekly business reviews (WBRs), monthly business reviews (MBRs), and quarterly business reviews (QBRs); ensure each mechanism produces decisions, not just updates.
- Drive organizational goal-setting and goal-tracking cycles; partner with senior leaders to translate ML capacity delivery strategy into measurable quarterly and annual goals, track progress against them weekly, and surface risks before they become misses.
- Own document readiness for all leadership forums; set and enforce timelines for narrative preparation, pre-read distribution, and post-meeting action tracking; hold contributors accountable to quality and deadline standards.
- Author and edit executive-level narratives, escalation memos, and business review documents on behalf of the ML Capacity Delivery leadership team; produce clear, data-driven written communication for Director and VP audiences with no supervision.
- Serve as the primary coordination layer across stakeholders — including finance, recruiting, engineering, and technical program management — to resolve cross-functional dependencies, align on priorities, and drive decisions at pace.
- Identify gaps in organizational visibility; build and maintain reporting dashboards and scorecards that give leadership a real-time view of ML capacity delivery health, headcount, and program milestones.
- Lead the annual and mid-year headcount planning cycle for the ML Capacity Delivery organization; partner with finance and recruiting to translate demand signals into staffing plans with clear owners and milestones.
- Manage the leadership team's strategic calendar — sequence the right conversations at the right cadence, eliminate redundant forums, and protect senior leader time for high-leverage decisions.
- Mentor junior program managers on operating rigor, written communication standards, and stakeholder management; establish and codify best practices across the organization.
BASIC QUALIFICATIONS
- 6+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of cross functional project delivery experience
- 5+ years of program or project management experience
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Herndon - 127,200.00 - 172,100.00 USD annually
USA, WA, Seattle - 127,200.00 - 172,100.00 USD annually
AI ML Engineer Job Roles in Virginia
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Search AI ML Engineer Jobs in VirginiaAI ML Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Virginia?
Northern Virginia's tech corridor is home to several of the most active sponsors for AI/ML roles. Amazon Web Services (Herndon), Capital One (McLean), Booz Allen Hamilton (McLean), Leidos (Reston), and Palantir have all filed H-1B visa petitions for AI and machine learning engineers. Defense and intelligence contractors are particularly active given Virginia's proximity to federal agencies, making it one of the more concentrated sponsorship markets in the country.
Which visa types are most common for AI/ML engineer roles in Virginia?
The H-1B is by far the most common visa category for AI/ML engineers in Virginia, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with extraordinary ability may also pursue the O-1A. Those transferring within a multinational company may qualify for an L-1B. Australians have the additional option of the E-3 visa, which has no lottery.
Which cities in Virginia have the most AI/ML engineer sponsorship jobs?
Northern Virginia dominates, with McLean, Reston, Herndon, Arlington, and Tysons Corner accounting for the large majority of AI/ML sponsorship activity. This corridor sits at the heart of the Data Center Alley and benefits from proximity to federal agencies and defense contractors. Richmond has a smaller but growing presence, particularly in fintech and healthcare AI. Remote-eligible roles headquartered in Virginia also appear frequently in this market.
How to find ai ml engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI/ML engineer roles in Virginia without sifting through postings that don't support international candidates. The platform is built for this use case, covering roles across Northern Virginia's tech and defense corridor as well as Richmond. Searching by role and state on Migrate Mate surfaces employers who have a documented history of sponsoring work visas for AI and ML positions.
Are there any state-specific considerations for AI/ML engineers seeking sponsorship in Virginia?
Virginia's heavy concentration of federal contractors introduces a practical factor: many AI/ML roles require security clearances, which are generally only available to U.S. citizens or permanent residents. This limits the number of open positions that are accessible to visa holders, so it's worth filtering for commercial or non-cleared roles early in your search. The presence of major research universities like Virginia Tech and George Mason also creates a pipeline that employers draw from, meaning competition for sponsored roles can be significant.
What is the prevailing wage for sponsored ai ml engineer jobs in Virginia?
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.