AI Data Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest markets for AI data engineer visa sponsorship in the country, anchored by a dense concentration of federal contractors, defense technology firms, and cloud infrastructure companies across Northern Virginia, Arlington, and Reston. Major employers including Booz Allen Hamilton, Leidos, Amazon Web Services, and General Dynamics regularly hire and sponsor AI data engineers.
Find AI Data Engineer JobsOverview
Showing 5 of 459+ AI Data Engineer Jobs in Virginia with Visa Sponsorship










See all 459+ AI Data Engineer Jobs in Virginia with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs in Virginia with Visa Sponsorship.
Get Access To All Jobs
INTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ROLE AND RESPONSIBILITIES
As Principal, Data, Analytics & AI Architect, you will provide strategic architecture leadership for Fannie Mae’s enterprise data and AI platforms. You will define standards and roadmaps, guide key technology decisions, and ensure solutions are secure, scalable, resilient, and aligned with risk, and regulatory priorities. You will partner with business and technology leaders to guide investment decisions, evaluate architectural trade-offs, and ensure platform capabilities deliver measurable business outcomes.
- Provide Data, Analytics & AI architecture leadership and oversight for mission-critical data, analytics, AI/ML, and generative AI platforms.
- Define and maintain Data, Analytics & AI architecture strategies, reference architectures, technology standards, reusable patterns, and multi-year transformation roadmaps.
- Participate/Lead architecture reviews and assess solutions for scalability, security, resilience, interoperability, cost efficiency, technical debt, and build-versus-buy considerations.
- Lead/Establish architecture and AI governance in partnership with cybersecurity, risk, compliance, legal, data governance, and platform teams.
- Serve as an advisory to senior leadership on technology investments, platform modernization, architectural risks, and alignment with business and regulatory objectives.
LOCATION
There is 1 opening for this position which can be based in our Reston, VA office.
BASIC QUALIFICATIONS
- 8 years of progressively responsible experience across application development, data science and analytics, enterprise architecture, and technology strategy.
- Deep expertise in cloud, data, and AI/ML concepts, supported by hands-on experience designing and architecting data and AI capabilities on cloud.
- Proven expertise in leading large-scale, cross-functional enterprise-wide initiatives involving data and AI/ML platforms with measurable business outcomes.
- Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
- Proven experience leading complex, cross-functional initiatives while aligning multiple stakeholders and balancing competing priorities.
- Demonstrated success delivering complex, high-stakes enterprise solutions in regulated or risk-sensitive environments.
- Experience supporting executive leadership, governance committees, and strategic decision-making processes.
- Strong written and verbal communication skills with the ability to communicate complex information to executive audiences.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
PREFERRED QUALIFICATIONS
- Proven experience architecting and providing enterprise-level oversight for AI, machine learning, generative AI, data, and analytics platforms.
- Demonstrated ability to define enterprise architecture strategies, reference architectures, technology standards, reusable patterns, and multi-year transformation roadmaps aligned with business objectives and measurable outcomes.
- Strong expertise in AWS cloud and Databricks, including the architecture of scalable, secure, resilient, and mission-critical data and AI platforms.
- Broad knowledge across application, integration, data, infrastructure, security, and business architecture domains, with the ability to evaluate architectural trade-offs, technical debt, platform maturity, and build-versus-buy decisions.
- Knowledge of AI governance frameworks, responsible AI principles, model risk management, and industry-leading practices.
- Experience establishing architecture governance, decision rights, and accountability across centralized platform teams, business units, and product teams.
- Experience in financial services or similarly regulated environments, with a strong understanding of risk management, compliance, and regulatory requirements.
- Strong executive communication and stakeholder-management skills, including experience supporting governance reporting, organizational change, and senior-level decision-making.
- Bachelor’s degree or equivalent combination of education and relevant experience.
COMPENSATION
- Salary Range: $200,000 - $269,000
QUALIFICATIONS
Active Directory (AD), AI Governance, AI Platforms, Amazon Web Services (AWS), Analytics, Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross-Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), CyberArk {+ 65 more}
Education
Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.
AI Data Engineer Job Roles in Virginia
See all 459+ AI Data Engineer Jobs in Virginia
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI Data Engineer Jobs in VirginiaAI Data Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Virginia?
Northern Virginia's tech and federal contracting sector drives most AI data engineer sponsorship in the state. Companies like Booz Allen Hamilton, Leidos, SAIC, Amazon Web Services, Capital One, and General Dynamics Information Technology have documented histories of filing H-1B visa petitions for data and AI engineering roles. Defense-adjacent firms tend to require security clearance eligibility, which can affect sponsorship timelines and candidate selection.
Which visa types are most common for AI data engineer roles in Virginia?
The H-1B is the most common visa category for AI data engineers in Virginia, given that the role typically requires a bachelor's degree or higher in computer science, data science, or a related field, meeting specialty occupation standards. Employers occasionally sponsor EB-2 or EB-3 green card petitions for senior roles. Candidates with Canadian or Mexican citizenship may also qualify for TN visa status under the USMCA.
Which cities in Virginia have the most AI data engineer sponsorship jobs?
Northern Virginia dominates, particularly Arlington, Reston, Tysons, and McLean, which sit within the Dulles Technology Corridor, one of the densest concentrations of tech employers on the East Coast. Richmond has a smaller but growing presence through financial services firms like Capital One. Norfolk and Virginia Beach offer some opportunities tied to defense and logistics technology companies.
How to find ai data engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI data engineer roles in Virginia without sorting through positions that won't support international candidates. You can search by role, state, and sponsorship type directly on Migrate Mate. Given how concentrated Virginia's hiring is in Northern Virginia's federal contracting corridor, filtering by that region will surface the most relevant opportunities.
Are there any state-specific considerations for AI data engineers pursuing sponsorship in Virginia?
Virginia's dominant employer base is federal contractors and defense technology firms, many of which require candidates to be eligible for a U.S. security clearance. Non-U.S. citizens on nonimmigrant visas are generally ineligible for most classified clearances, which can narrow the pool of sponsoring employers. Focusing on commercial tech companies, cloud infrastructure firms, and financial services employers in Virginia typically yields more accessible sponsorship pathways for international candidates.
What is the prevailing wage for sponsored ai data 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.