AI Product Engineer Jobs in Virginia
AI Product Engineer jobs in Virginia are among the most actively recruited technology roles in the state, with demand concentrated in defense technology, cloud infrastructure, and enterprise software across experience levels from entry-level associate to principal engineer. Northern Virginia anchors the market, driven by the dense concentration of federal contractors and hyperscale cloud operators, while Richmond and Charlottesville contribute a growing share of fintech and university-adjacent openings. Employers like Leidos, Booz Allen Hamilton, and Amazon Web Services maintain large engineering footprints in Virginia and consistently hire for AI product roles, particularly in machine learning systems, human-AI interaction, and AI-powered product analytics. Find a role that fits below and apply directly.
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Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
The AI Support Manager owns Ferguson's Level 2 AI tool support function — the router, orchestrator, and knowledge curator that sits between frontline Level 1 support and deeper Level 3 technical (Tech) and AI Studio (CoE) resources. This role will provide guidance and operational direction to Level 1 staff, including staff-augmented resources, and builds the self-service knowledge infrastructure that keeps AI tool support scalable as usage grows from roughly ~1,200 users today toward 20,000+ across Copilot, Ferguson Assist (Gemini), and Claude.
Location: This role is approved to be either Remote within the United States or Hybrid for associates in Newport News, VA, in accordance with company policy.
Duties and Responsibilities:
- Provide guidance and operational direction to Level 1 support staff and staff-augmented resources handling the AI-enablement inbox and frontline "how do I" questions.
- Own triage and routing logic across AI tools — determining whether an issue is a tool issue, a connector issue, or a genuine product problem, and directing it accordingly.
- Build, maintain, and continuously improve the self-service knowledge base, capturing not just resolution steps but what didn't work, based on real ticket patterns.
- Decide where customer concerns go and manage handoffs to Level 3 Tech and Level 3 AI Studio/CoE resources.
- Open and supervise support tickets using Jira/Confluence, and monitor volume, resolution time, and escalation patterns to identify recurring issues.
- Act as "customer zero" for self-service support agents — build and troubleshoot no-code support agents in partnership with AI Studio, using that hands-on experience to guide Level 1 staff.
- Monitor Viva Engage and Teams community channels for emerging support themes and friction points.
- Partner with the AI Platform/Tool Owner on license- and connector-related support escalations, and with the AI Fluency Manager on recurring training gaps surfaced through support volume.
- Support the ongoing design and refinement of the L1/L2/L3 support model as tool volume and license counts scale.
Qualifications and Requirements:
- 4-6 years in technical support management, IT service management, or helpdesk leadership, ideally at enterprise scale.
- Experience managing/providing operational direction to a support team, including staff-augmented or offshore resources.
- Familiarity with enterprise productivity/AI tools (Microsoft Copilot, Google Gemini, or similar).
- Experience building or maintaining a knowledge base and ticketing workflows (Jira, Confluence, or similar).
- Strong triage and prioritization skills; comfortable making judgment calls under ambiguity.
- Ability to build or troubleshoot simple no-code/low-code support tooling or agents.
Desired Qualifications:
- Experience with AI/ML tool support specifically.
- Prior experience scaling a support function through rapid user growth.
- Familiarity with AI governance or responsible AI practices.
At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate’s qualifications and prior experience.
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information
Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
The AI Support Manager owns Ferguson's Level 2 AI tool support function — the router, orchestrator, and knowledge curator that sits between frontline Level 1 support and deeper Level 3 technical (Tech) and AI Studio (CoE) resources. This role will provide guidance and operational direction to Level 1 staff, including staff-augmented resources, and builds the self-service knowledge infrastructure that keeps AI tool support scalable as usage grows from roughly ~1,200 users today toward 20,000+ across Copilot, Ferguson Assist (Gemini), and Claude.
Location: This role is approved to be either Remote within the United States or Hybrid for associates in Newport News, VA, in accordance with company policy.
Duties and Responsibilities:
- Provide guidance and operational direction to Level 1 support staff and staff-augmented resources handling the AI-enablement inbox and frontline "how do I" questions.
- Own triage and routing logic across AI tools — determining whether an issue is a tool issue, a connector issue, or a genuine product problem, and directing it accordingly.
- Build, maintain, and continuously improve the self-service knowledge base, capturing not just resolution steps but what didn't work, based on real ticket patterns.
- Decide where customer concerns go and manage handoffs to Level 3 Tech and Level 3 AI Studio/CoE resources.
- Open and supervise support tickets using Jira/Confluence, and monitor volume, resolution time, and escalation patterns to identify recurring issues.
- Act as "customer zero" for self-service support agents — build and troubleshoot no-code support agents in partnership with AI Studio, using that hands-on experience to guide Level 1 staff.
- Monitor Viva Engage and Teams community channels for emerging support themes and friction points.
- Partner with the AI Platform/Tool Owner on license- and connector-related support escalations, and with the AI Fluency Manager on recurring training gaps surfaced through support volume.
- Support the ongoing design and refinement of the L1/L2/L3 support model as tool volume and license counts scale.
Qualifications and Requirements:
- 4-6 years in technical support management, IT service management, or helpdesk leadership, ideally at enterprise scale.
- Experience managing/providing operational direction to a support team, including staff-augmented or offshore resources.
- Familiarity with enterprise productivity/AI tools (Microsoft Copilot, Google Gemini, or similar).
- Experience building or maintaining a knowledge base and ticketing workflows (Jira, Confluence, or similar).
- Strong triage and prioritization skills; comfortable making judgment calls under ambiguity.
- Ability to build or troubleshoot simple no-code/low-code support tooling or agents.
Desired Qualifications:
- Experience with AI/ML tool support specifically.
- Prior experience scaling a support function through rapid user growth.
- Familiarity with AI governance or responsible AI practices.
At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate’s qualifications and prior experience.
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information
See All 47 AI Product Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
AI Product Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Virginia Employers Look For
The qualifications that appear most often in AI product engineer jobs across Virginia.
- Bachelor's degree in computer science, AI, or a closely related engineering discipline
- Hands-on experience building or shipping AI or machine learning-powered product features
- Proficiency with Python and familiarity with ML frameworks such as TensorFlow or PyTorch
- Experience working within agile product development teams alongside engineers and data scientists
- Ability to obtain or maintain a U.S. federal security clearance for defense-sector Virginia roles
- Strong communication skills for translating model capabilities into product requirements and roadmaps
AI Product Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a ai product engineer in Virginia?
AI product engineering in Virginia has no state-issued license or registration requirement, so the path runs through education and demonstrated product experience. Most Virginia employers expect a bachelor's degree in computer science, software engineering, or a related technical field. Candidates targeting the large defense and federal contracting sector in Northern Virginia should also pursue security clearance eligibility early, as many roles at Virginia-based contractors require it from day one.
Which companies hire ai product engineers in Virginia?
Employers hiring ai product engineers in Virginia right now include Booz Allen Hamilton, Capital One, and American Heart Association, based on current listings on Migrate Mate as of September 2026. Virginia's defense contracting corridor in Northern Virginia means a significant share of these openings come from government technology firms alongside commercial cloud and software companies.
Which Virginia cities have the most ai product engineer jobs?
The Virginia cities with the most ai product engineer openings are McLean, Arlington, and Richmond. Northern Virginia dominates because of the region's extraordinary density of federal agencies, defense contractors, and hyperscale data center operators that anchor large engineering teams, while Richmond draws demand from growing fintech and enterprise software employers headquartered there.
Are there remote ai product engineer jobs in Virginia?
Yes, and more than most fields. About 63% of ai product engineer openings tied to Virginia are remote or hybrid as of September 2026, reflecting how much of the work involves software, model evaluation, and cross-functional product collaboration that travels well across distributed teams. The exception is roles tied to classified federal programs, which almost always require on-site presence at a cleared Virginia facility.
How can I get hired as a ai product engineer in Virginia with little or no experience?
The most realistic entry path is an associate product or junior machine learning engineer role at one of Northern Virginia's large technology contractors, where new-grad rotational programs at firms like Leidos and Booz Allen Hamilton are designed for candidates with academic project work but limited industry history. Building a portfolio of end-to-end AI feature projects, even from coursework or open-source contributions, and pairing it with an AWS or Google Cloud certification gives Virginia hiring managers a concrete signal when a resume is otherwise thin on professional experience.
Where can I find and apply to ai product engineer jobs in Virginia?
You can find and apply to ai product engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings across the state's major hiring metros and industries. Find roles that fit your experience and apply directly.
See All 47 AI Product Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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