AI Engineer Jobs in Virginia
AI Engineer jobs in Virginia are among the most active in the country, concentrated in defense and intelligence contracting, federal civilian agencies, and enterprise technology, with openings at every level from junior ML engineer through principal AI architect. The heaviest hiring is in the Northern Virginia corridor, Richmond, and the Hampton Roads area, where employers like Booz Allen Hamilton, Leidos, and Amazon Web Services maintain large engineering teams. The most in-demand specialties are large language model development, computer vision, and MLOps pipeline engineering. Find a role that fits below and apply directly.
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Work You'll Do
As a Lead Analytics and Insights Engineer II you will be responsible for ensuring the team's AI systems are built and operated responsibly across projects - currently including a LangGraph-based multi-agent research platform, where you will review for AI-specific risks such as prompt injection, defines and validates human-review/escalation policy, and confirms data-handling practices meet privacy, licensing, and government requirements.
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes and investigations. Protect brands from financial crime and other corporate misconduct, as well as enable government organizations with tradecraft & technology to combat emerging and evolving threats.
Qualifications
Required:
- Bachelor's degree
- 5+ years of experience in risk based analysis or management, risk governance, or technical compliance
- 2+ years of experience in Generative AI readiness, testing, or risk management
- Active Top Secret security clearance required
- Ability to perform job responsibilities within a work model that requires professionals to co-locate in person 5 days per week in Fairfax, VA.
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with development of AI Agents or Prompt Engineering
For individuals assigned and/or hired to work in Arlington, VA, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Arlington, VA and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is$151,500 to $252,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Work You'll Do
As a Lead Analytics and Insights Engineer II you will be responsible for ensuring the team's AI systems are built and operated responsibly across projects - currently including a LangGraph-based multi-agent research platform, where you will review for AI-specific risks such as prompt injection, defines and validates human-review/escalation policy, and confirms data-handling practices meet privacy, licensing, and government requirements.
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes and investigations. Protect brands from financial crime and other corporate misconduct, as well as enable government organizations with tradecraft & technology to combat emerging and evolving threats.
Qualifications
Required:
- Bachelor's degree
- 5+ years of experience in risk based analysis or management, risk governance, or technical compliance
- 2+ years of experience in Generative AI readiness, testing, or risk management
- Active Top Secret security clearance required
- Ability to perform job responsibilities within a work model that requires professionals to co-locate in person 5 days per week in Fairfax, VA.
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with development of AI Agents or Prompt Engineering
For individuals assigned and/or hired to work in Arlington, VA, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Arlington, VA and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is$151,500 to $252,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See All 191+ AI Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
AI Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Booz Allen Hamilton20
- Capital One13
- Deloitte10
- MITRE9
- SAIC6
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Aerospace & Defense
- Electronics & Hardware
- Construction & Real Estate
What Virginia Employers Look For
The qualifications that appear most often in AI engineer jobs across Virginia.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying machine learning models in production
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for AI workloads
- Active or eligible security clearance preferred for many Virginia defense and federal roles
- Experience with MLOps tooling, model monitoring, and CI/CD pipelines for AI systems
AI Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a ai engineer in Virginia?
There is no state-issued license required to work as an ai engineer in Virginia. The typical path is a bachelor's or master's degree in computer science, data science, or electrical engineering, followed by demonstrated project experience in machine learning or AI systems. Many Virginia employers, particularly in the defense contracting sector, also require candidates to be eligible for or already hold a federal security clearance, which involves a background investigation process separate from any academic credential.
Which companies hire ai engineers in Virginia?
Employers hiring ai engineers in Virginia right now include Booz Allen Hamilton, Capital One, and Deloitte, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of defense contractors, federal agencies, and major cloud infrastructure operations makes it one of the deepest markets for AI engineering talent on the East Coast.
Which Virginia cities have the most ai engineer jobs?
The cities with the most ai engineer openings in Virginia are McLean, Arlington, and Chantilly. Northern Virginia dominates because of its dense cluster of defense contractors, intelligence community tenants, and AWS's data center and corporate operations, while Richmond and Hampton Roads draw demand from state government technology initiatives and naval research and logistics operations.
Are there remote ai engineer jobs in Virginia?
Yes, and more than most fields. About 47% of ai engineer openings tied to Virginia are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being physically on-site. The exception is roles tied to classified government programs, which typically require on-site presence at a cleared facility in Northern Virginia or another secure location.
How can I get hired as a ai engineer in Virginia with little or no experience?
The most realistic entry path is a targeted internship or associate engineer program at one of Virginia's large defense contractors or technology firms, where structured rotations expose new graduates to real AI projects. Booz Allen Hamilton and Leidos both run early-career programs based in Northern Virginia that hire candidates with strong academic projects in lieu of professional experience. Building a portfolio of end-to-end ML projects on public datasets and earning a cloud certification, such as an AWS Machine Learning Specialty credential, gives candidates a concrete edge when applying to these programs.
Where can I find and apply to ai engineer jobs in Virginia?
You can find and apply to ai engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings updated regularly. Search the listings, find roles that fit your background and target location, and apply directly to the ones that match.
See All 191+ AI Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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