Applied AI Engineer Jobs in Virginia
Applied AI Engineer jobs in Virginia are among the most actively recruited technology roles in the state, concentrated in defense contracting, federal government services, and commercial cloud infrastructure, with openings at every level from associate engineer through principal and staff positions. Northern Virginia, particularly the Tysons and Reston corridors, and Richmond serve as the primary hiring hubs, anchored by major employers like Booz Allen Hamilton, Leidos, and Amazon Web Services. The most in-demand specialties are machine learning deployment, large language model integration, and AI systems engineering for government and enterprise applications. Find a role that fits below and apply directly.
Find Applied AI Engineer JobsOverview
Showing 5 of 11+ Applied AI Engineer jobs
DESCRIPTION
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Just Walk Out We're seeking an experienced Senior Technical Program Manager to become our JWO Salesforce Lead. This role requires someone who can combine technical depth, program management expertise, and strategic thinking to deliver large-scale initiatives that primarily support GTM function, and secondarily support our orthogonal stakeholder teams (product, tech, engineering). As a Senior TPM, you will be a key leader in shaping and delivering most strategic initiatives. You'll work directly with leadership, product managers, engineering and other stakeholders to transform business and product vision into executable technical programs, while managing multiple high-impact projects simultaneously. This role demands someone who can dive deep into technical details while maintaining a broader strategic perspective, and who can influence without authority across organizational boundaries.
Key job responsibilities
Lead complex, multi-team technical programs across the organization Drive technical architecture discussions and make strategic decisions that balance business requirements with technical constraints Develop detailed project plans, identify dependencies, mitigate risks, and manage scope Partner with engineering teams to define technical requirements and ensure successful delivery Provide regular status updates to senior leadership and stakeholders
A day in the life
Your day begins collaborating with leaders who are passionate about driving innovation in a fast-paced environment. You'll engage with brilliant minds across the organization, all united in their commitment to excellence. Each day brings opportunities to: Partner with stakeholders who value your expertise and trust your judgment Work with collaborative teams who actively seek new ways to improve and innovate Drive programs that have an immediate, visible impact for the organization Experience an environment where your voice is heard and your ideas can quickly become reality
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of technical product or program management experience
- 2+ years of software development experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
PREFERRED QUALIFICATIONS
- 3+ years of working directly with engineering teams experience
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.
USA, VA, Arlington - 127,100.00 - 172,000.00 USD annually
USA, WA, Seattle - 127,100.00 - 172,000.00 USD annually
DESCRIPTION
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Just Walk Out We're seeking an experienced Senior Technical Program Manager to become our JWO Salesforce Lead. This role requires someone who can combine technical depth, program management expertise, and strategic thinking to deliver large-scale initiatives that primarily support GTM function, and secondarily support our orthogonal stakeholder teams (product, tech, engineering). As a Senior TPM, you will be a key leader in shaping and delivering most strategic initiatives. You'll work directly with leadership, product managers, engineering and other stakeholders to transform business and product vision into executable technical programs, while managing multiple high-impact projects simultaneously. This role demands someone who can dive deep into technical details while maintaining a broader strategic perspective, and who can influence without authority across organizational boundaries.
Key job responsibilities
Lead complex, multi-team technical programs across the organization Drive technical architecture discussions and make strategic decisions that balance business requirements with technical constraints Develop detailed project plans, identify dependencies, mitigate risks, and manage scope Partner with engineering teams to define technical requirements and ensure successful delivery Provide regular status updates to senior leadership and stakeholders
A day in the life
Your day begins collaborating with leaders who are passionate about driving innovation in a fast-paced environment. You'll engage with brilliant minds across the organization, all united in their commitment to excellence. Each day brings opportunities to: Partner with stakeholders who value your expertise and trust your judgment Work with collaborative teams who actively seek new ways to improve and innovate Drive programs that have an immediate, visible impact for the organization Experience an environment where your voice is heard and your ideas can quickly become reality
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of technical product or program management experience
- 2+ years of software development experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
PREFERRED QUALIFICATIONS
- 3+ years of working directly with engineering teams experience
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.
USA, VA, Arlington - 127,100.00 - 172,000.00 USD annually
USA, WA, Seattle - 127,100.00 - 172,000.00 USD annually
See All 11 Applied AI Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Applied AI Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Amazon Web Services4
- Booz Allen Hamilton3
- Amazon2
- PwC1
- Capital One1
Top Industries Hiring
- Distribution & Wholesale2
What Virginia Employers Look For
The qualifications that appear most often in applied AI engineer jobs across Virginia.
- Bachelor's or master's degree in computer science, AI, machine learning, or a related engineering field
- Demonstrated experience building and deploying production machine learning or AI systems
- Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Hugging Face
- Experience with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Active or eligible security clearance preferred for many Virginia defense and federal contractor roles
- Familiarity with MLOps practices, model monitoring, and CI/CD pipelines for AI workloads
Applied AI Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a applied ai engineer in Virginia?
Applied AI engineering in Virginia has no state-issued license, so the path runs through education and demonstrated technical skill. Most Virginia employers expect at least a bachelor's degree in computer science, data science, or a related field, with a master's degree preferred for senior roles at defense contractors and federal agencies. Building a portfolio of deployed AI projects and earning cloud certifications from AWS or Google strengthens candidacy considerably in Virginia's market.
How much do applied AI engineers make in Virginia?
Applied AI engineers in Virginia earn a median of about $136,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,350 for the lowest 10% to over $211,930 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied ai engineers in Virginia?
Employers hiring applied ai engineers in Virginia right now include Amazon Web Services, Booz Allen Hamilton, and Amazon, based on current listings on Migrate Mate as of July 2026. Virginia's high concentration of defense contractors and federal IT services firms means many openings are tied to government program work, making it a particularly deep market for applied AI engineering talent.
Which Virginia cities have the most applied ai engineer jobs?
Arlington, Fort Belvoir, and Herndon have the most applied ai engineer openings in Virginia. Northern Virginia's concentration of defense agencies, cloud infrastructure campuses, and federal contractors drives the majority of demand, while Richmond's growing financial services and technology sector accounts for a meaningful share of commercial AI engineering roles.
Are there remote applied ai engineer jobs in Virginia?
Yes, and more than most fields. About 0% of applied ai engineer openings tied to Virginia are remote or hybrid as of July 2026, reflecting how naturally suited the work is to distributed environments. Model development, experimentation, and MLOps work tend to be the most remote-friendly tasks, while roles requiring access to classified systems or secure government facilities require on-site presence.
How can I get hired as a applied ai engineer in Virginia with little or no experience?
The most realistic entry path is a junior or associate AI engineer role at one of Northern Virginia's large federal IT contractors, where structured onboarding programs exist for candidates coming straight from university. Booz Allen Hamilton and Leidos both run new-graduate technology development programs that place candidates with AI and data science backgrounds onto applied projects. A strong GitHub portfolio demonstrating deployed machine learning projects, combined with an AWS or Google Cloud certification, gives entry-level candidates a practical edge over those relying on coursework alone.
Where can I find and apply to applied ai engineer jobs in Virginia?
You can find and apply to applied ai engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 11 Applied AI Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Applied AI Engineer Jobs