AI Software Developer Jobs in Virginia
AI Software Developer jobs in Virginia are among the most actively recruited technology roles in the region, concentrated in defense and intelligence contracting, federal IT modernization, and commercial cloud services, with openings from entry-level engineers through principal and staff-level positions. Northern Virginia anchors most of the hiring, followed by Richmond and the Hampton Roads corridor, where established employers including Booz Allen Hamilton, Leidos, and General Dynamics Information Technology maintain large engineering workforces. The most in-demand specialties are machine learning engineering, natural language processing, and AI-powered systems integration tied to federal mission work. Find a role that fits below and apply directly.
Find AI Software Developer JobsOverview
Showing 5 of 57+ AI Software Developer jobs
Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
See All 57 AI Software Developer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
AI Software Developer 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 software developer jobs across Virginia.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Demonstrated experience designing and deploying machine learning models in production environments
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with cloud platforms, particularly AWS or Azure, for AI workload deployment
- Active or obtainable federal security clearance preferred by Virginia's defense-sector employers
- Strong communication skills for collaborating with cross-functional government and commercial teams
AI Software Developer Jobs in Virginia: Frequently Asked Questions
How do you become a ai software developer in Virginia?
Virginia does not require a state-issued license to work as an ai software developer. Most employers expect a bachelor's degree in computer science, data science, or a related field, and many Virginia defense contractors add a federal security clearance as a practical requirement. Candidates who build a portfolio of deployed machine learning projects or earn industry credentials like AWS Certified Machine Learning or Google Professional Machine Learning Engineer strengthen their candidacy considerably.
How much do AI software developers make in Virginia?
AI software developers 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 software developers in Virginia?
Employers hiring ai software developers in Virginia right now include Booz Allen Hamilton, General Dynamics Information Technology, and Credence, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of federal contractors and cloud infrastructure operators means consistent demand across both classified government programs and commercial enterprise projects.
Which Virginia cities have the most ai software developer jobs?
Arlington, McLean, and Reston account for the largest share of ai software developer openings in Virginia. Northern Virginia drives the greatest volume because of its dense cluster of defense contractors, federal agencies, and major cloud providers, while Richmond and Hampton Roads add openings through state government IT initiatives, financial services firms, and military technology programs headquartered in those regions.
Are there remote ai software developer jobs in Virginia?
Yes, and more than most fields. About 53% of ai software developer openings tied to Virginia are remote or hybrid as of September 2026, reflecting the desk-based, collaborative nature of most AI engineering work. Model development, research, and data pipeline work tend to be the most remote-friendly tasks, while roles requiring access to classified systems or secure facilities typically require on-site presence.
How can I get hired as a ai software developer in Virginia with little or no experience?
The most realistic entry path is targeting junior or associate machine learning engineer roles at Virginia's large federal contractors, which regularly onboard new graduates through structured rotational programs at firms like Booz Allen Hamilton and Leidos. A strong GitHub portfolio demonstrating deployed models, participation in open-source AI projects, or completion of a recognized graduate certificate in machine learning from a Virginia institution such as George Mason University gives candidates without professional experience a concrete credential to point to. Adjacent roles in data analysis or software quality assurance within defense or government IT can also serve as a lateral entry point into AI-focused work.
Where can I find and apply to ai software developer jobs in Virginia?
You can find and apply to ai software developer jobs in Virginia on Migrate Mate, which lists current Virginia openings across defense contractors, commercial technology firms, and government agencies. Find roles that fit your experience and apply directly to the employers posting them.
See All 57 AI Software Developer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Software Developer Jobs