AI Solutions Engineer Jobs in Virginia
AI Solutions Engineer jobs in Virginia are among the most actively recruited technology roles in the state, concentrated in defense and intelligence contracting, cloud infrastructure, and enterprise software, with demand at every level from associate through principal. The heaviest hiring clusters in Northern Virginia, the Richmond metro, and the Hampton Roads corridor, where established employers like Leidos, Booz Allen Hamilton, and Microsoft maintain large engineering teams. The most in-demand specialties include large language model integration, AI-powered systems architecture, and machine learning pipeline development for government and commercial clients. Find a role that fits below and apply directly.
Find AI Solutions Engineer JobsOverview
Showing 5 of 57+ AI Solutions Engineer jobs








Job Overview
C. Mack Solutions is seeking a Senior Agile Business Analyst to support a mission-critical Federal Government program. You will lead the analysis, definition, and documentation of business requirements for software solutions that advance organizational goals. With a growing focus on generative AI and agentic capabilities, you will evaluate current processes, identify opportunities to simplify and automate work, and translate those opportunities into clear, testable requirements for development teams.
You will work collaboratively with the team while independently leading complex analysis, exercising judgment in ambiguous situations, and working independently with key clients. Success in this senior individual-contributor role requires a consistent focus on delivering stakeholder value.
Responsibilities:
Business & Process Analysis
- Prepare and maintain operating procedures, user guides, and process documentation that help stakeholders operate efficiently and effectively
- Advise program leadership and product owners on process improvement, change management, and prioritization trade-offs
Agile Requirements
- Use a range of elicitation techniques to facilitate meetings and workshops, build shared understanding among stakeholders and team members, and produce agreed requirements without excessive documentation.
- Requirements analysis: collaborate with stakeholders and product teams to decompose epics into features and user stories the development team can understand, estimate, and deliver
- Write clear user stories and acceptance criteria; support the Product Owner with prioritization and backlog refinement
- Manage user stories, backlogs, and release tracking in Jira, and maintain requirements, release notes, and process documentation in Confluence
- Conduct and coordinate testing, including functional testing, user acceptance testing (UAT), automated acceptance testing (AAT), and specification by example
AI & Agentic Solutions
- Identify and evaluate candidate use cases for generative AI and AI agents, assessing business value, feasibility, data availability, and risk
- Elicit and document requirements for AI-enabled and agentic capabilities, including agent goals, workflow steps, tool and system integrations, decision boundaries, and human-in-the-loop review and escalation points
- Define acceptance criteria and evaluation approaches suited to non-deterministic AI outputs (e.g., accuracy, consistency, and failure-handling expectations), and support testing of AI features
- Partner with developers and AI engineers on prompt design, grounding/retrieval data sources, and iterative refinement of agent behavior
- Capture responsible-AI, privacy, security, and records requirements, and help ensure AI solutions align with applicable federal AI governance and agency policy
- Help stakeholders understand AI capabilities and limitations, and support adoption and change management for AI-enabled workflows
Collaboration & Leadership
- Communicate business expectations to technical experts in ways that produce the desired outcome; build trust and rapport with technical and non-technical team members, clients, and stakeholders
- Work independently to deliver results, and provide guidance and mentoring to junior analysts
Required Skills, Education, and Experience:
You must live within the DC, MD, VA area.
U.S. Citizenship is required. Candidate must be able to obtain CBP Public Trust clearance.
- Bachelor’s degree (B.A. or B.S.); a focus in Computer Information Systems, Business Management, Engineering, or a related area of study is a plus
- 7+ years of professional experience in business analysis, management/program analysis, or related IT consulting, including requirements analysis on Agile software development teams
- Strong experience writing user stories and acceptance criteria; working knowledge of Scrum and the Product Owner role
- Proficiency with the Atlassian toolset, primarily Jira and Confluence, for managing user stories, backlogs, releases, and documentation
- At least 1 year of hands-on experience supporting generative AI or AI/ML initiatives, including defining requirements for, testing, or helping deploy LLM-based features, assistants, or automation.
- Working knowledge of agentic AI concepts — agents, tool/function calling, multi-step workflows, retrieval-augmented generation (RAG), and human-in-the-loop controls — and the ability to translate them into implementable requirements
- Practical prompt-engineering skills and experience evaluating the quality and reliability of AI outputs
- Understanding of change management practices
- Strong analytical aptitude and the ability to structure complex or undefined business problems
- Exceptional interpersonal and communication skills (verbal, written, and presentation); excellent organizational skills and attention to detail
Preferred Skills and Experience:
- Google Gemini experience strongly preferred — e.g., working with Gemini models through Google Cloud Vertex AI or Gemini for Google Workspace
- Experience on agentic development efforts, including exposure to agent frameworks such as Google’s Agent Development Kit (ADK), LangChain/LangGraph, or similar
- Experience with AI evaluation, red-teaming, or quality-assurance practices for LLM applications
- Familiarity with federal AI governance, risk management, and responsible-AI practices (e.g., NIST AI Risk Management Framework)
- Federal experience, ideally within DHS or a law enforcement / regulated environment
- Prior consulting experience
- Applicable certifications such as CBAP, CCBA, CSM, CSPO, CSP, ITIL, or a Google Cloud generative AI certification
Work Location: This position is limited to candidates residing in U.S. states where the company is currently registered to employ team members.
Salary Range: $120,000 – $160,000 annually
This position may be filled at the Mid or Senior level based on the selected candidate’s qualifications and experience. Final compensation will be determined based on level alignment, experience, education, and internal equity.
Benefits: In addition to base compensation, this position is eligible for company-sponsored benefits, which may include medical, dental, and vision insurance, retirement savings plans, paid time off, and other supplemental programs.
Pay: $120,000.00 - $160,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid holidays
- Vision insurance
Application Question(s):
- U.S. Citizenship is required. Candidate must be able to obtain a CBP?DHS Public Trust clearance. Do you meet this requirement?
- Do you have an active clearance?
- Do you live in the DC, MD, VA area?
- This position requires on site work once a week in Ashburn, VA. Are you within a 1-hour driving radius of Ashburn?
- How many years of business analysis experience do you have in a professional setting?
- What is your salary requirement?
Education:
- Bachelor's (Required)
Experience:
- Business analysis: 7 years (Required)
- Agile: 5 years (Required)
- Scrum: 5 years (Required)
- user story: 4 years (Required)
- acceptance criteria: 4 years (Required)
- AI: 1 year (Required)
Ability to Commute:
- Ashburn, VA 20147 (Required)
Work Location: In person
See All 57 AI Solutions Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Agriculture & Farming
- Technology & Software
- Distribution & Wholesale
What Virginia Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Virginia.
- Bachelor's or master's degree in computer science, AI, data science, or a related engineering discipline
- Hands-on experience designing and deploying machine learning or large language model solutions in production
- Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or LangChain
- Experience integrating AI APIs and cloud services on platforms such as AWS, Azure, or Google Cloud
- Ability to obtain or maintain a U.S. security clearance, required by many Virginia defense contractors
- Strong communication skills to translate AI capabilities into solutions for non-technical stakeholders
AI Solutions Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a ai solutions engineer in Virginia?
There is no state-issued license required to work as an ai solutions engineer in Virginia. Most employers expect a bachelor's or master's degree in computer science, artificial intelligence, or a related field, combined with a portfolio of deployed AI projects. Virginia's dense defense contracting sector adds a practical step many other states do not: candidates applying to employers like Leidos or SAIC should begin the security clearance process as early as possible, often through a cleared internship or entry-level role.
How much do AI solutions engineers make in Virginia?
AI solutions 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 ai solutions engineers in Virginia?
Employers hiring ai solutions engineers in Virginia right now include MITRE, Booz Allen Hamilton, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. Virginia's mix of federal defense contractors, large cloud providers, and enterprise software firms means openings appear across a wide range of industries and clearance levels.
Which Virginia cities have the most ai solutions engineer jobs?
McLean, Herndon, and Arlington have the most ai solutions engineer openings in Virginia as of November 2026. Northern Virginia leads because it is home to major defense and intelligence contractors and a significant concentration of cloud infrastructure, while Richmond and Hampton Roads draw from a growing base of financial services firms and Navy and Air Force related technology programs.
Are there remote ai solutions engineer jobs in Virginia?
Yes, and more than most fields. About 57% of ai solutions engineer openings tied to Virginia are remote or hybrid as of November 2026, reflecting how well the role translates to distributed work. The parts of the role most commonly done remotely include model development, API integration, and documentation, while roles tied to classified government networks typically require on-site work at a Virginia facility.
How can I get hired as a ai solutions engineer in Virginia with little or no experience?
The most realistic entry path is securing an associate or junior AI engineer role through one of the large Virginia defense contractors, many of whom run structured new-grad programs, including Leidos and Booz Allen Hamilton, which recruit from Virginia Tech, George Mason University, and University of Virginia. Candidates without commercial experience can build a strong edge by completing cloud certifications on AWS or Azure and publishing AI projects on a public portfolio. Lateral moves from adjacent roles like data analyst, backend software engineer, or machine learning researcher are common starting points in Virginia's market.
Where can I find and apply to ai solutions engineer jobs in Virginia?
You can find and apply to ai solutions engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings from employers across the state. Search the listings, find the roles that fit your experience and location, and apply directly.
See All 57 AI Solutions Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Solutions Engineer Jobs