AI ML Engineering Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for AI/ML engineering roles, driven by the federal contracting corridor in Northern Virginia, cloud infrastructure hubs anchored by Amazon Web Services and Microsoft, and defense-adjacent employers throughout the DC metro area. Companies like Booz Allen Hamilton, Leidos, Capital One, and Salesforce regularly hire AI/ML engineers and have established visa sponsorship programs.
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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 Engineering Job Roles in Virginia
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Search AI ML Engineering Jobs in VirginiaAI ML Engineering Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Virginia?
Northern Virginia's tech and federal contracting sectors produce the highest concentration of AI/ML sponsoring employers in the state. Amazon Web Services, Microsoft, Capital One, Booz Allen Hamilton, Leidos, and Salesforce have all filed H-1B visa petitions for AI/ML engineering roles in Virginia. Larger defense contractors and cloud-focused firms tend to have dedicated immigration support teams, which can make the sponsorship process more straightforward than at smaller startups.
Which visa types are most common for AI/ML engineering roles in Virginia?
The H-1B is the most common visa for AI/ML engineers in Virginia, given that roles typically require at least a bachelor's degree in computer science, statistics, or a related field, which satisfies the specialty occupation standard. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Virginia employers. The O-1A is another pathway for engineers with demonstrated exceptional ability, such as published research or significant open-source contributions.
Which cities in Virginia have the most AI/ML engineering sponsorship jobs?
Northern Virginia, particularly the cities of Arlington, McLean, Reston, and Herndon, accounts for the large majority of AI/ML engineering sponsorship activity in the state. This corridor sits adjacent to Washington, D.C., and houses major cloud data centers, federal agencies, and large tech employers. Richmond has a smaller but growing presence, anchored by Capital One's headquarters and an expanding financial technology sector. Remote roles based in Virginia also appear with some regularity among larger tech employers.
How to find ai ml engineering visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI/ML engineering roles in Virginia without sorting through positions that don't offer sponsorship. You can search by state and role type to surface active openings from employers who have a documented history of sponsoring work visas. For AI/ML roles in Virginia, filtering to Northern Virginia cities like Reston, McLean, and Arlington will return the highest volume of relevant results.
Are there any Virginia-specific considerations for AI/ML engineers seeking visa sponsorship?
Virginia's proximity to federal agencies creates a notable complication: many AI/ML roles at defense contractors and government-adjacent firms require security clearances, which are generally not available to visa holders who are not U.S. citizens or permanent residents. This effectively limits sponsorship-eligible AI/ML roles to the commercial tech sector, financial services, and cloud infrastructure companies. Candidates with graduate degrees from Virginia universities such as George Mason, Virginia Tech, or UVA can leverage STEM OPT extensions of up to three years while pursuing H-1B sponsorship.
What is the prevailing wage for sponsored ai ml engineering 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.