Genai Engineer Jobs in Virginia
Genai Engineer jobs in Virginia are highly active, concentrated in defense contracting, federal IT services, and commercial cloud infrastructure, with openings at every level from entry-level ML engineer through principal AI architect. Northern Virginia's data center corridor and the greater DC metro area lead hiring, alongside Richmond and the Hampton Roads region, where employers like Booz Allen Hamilton, Leidos, and Amazon Web Services maintain substantial engineering operations. The most in-demand specialties include retrieval-augmented generation systems, large language model fine-tuning, and agentic AI pipeline development. Find a role that fits below and apply directly.
Find Genai Engineer JobsOverview
Showing 5 of 14+ Genai Engineer jobs
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience leading technical discovery sessions with customers.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
- Experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments.
- Experience designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don’t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience leading technical discovery sessions with customers.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
- Experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments.
- Experience designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don’t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
See All 14 Genai Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Genai Engineer JobsGenai Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Genai Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What Virginia Employers Look For
The qualifications that appear most often in genai engineer jobs across Virginia.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building or deploying large language model applications in production
- Proficiency in Python and at least one LLM framework such as LangChain or LlamaIndex
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Experience with vector databases, embedding models, and retrieval-augmented generation pipelines
- Active or obtainable federal security clearance preferred for defense and government contractor roles
Genai Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a genai engineer in Virginia?
A bachelor's degree in computer science, data science, or software engineering is the standard entry point, and many Virginia employers prefer or require a master's degree for senior roles. There is no state-issued license for genai engineers in Virginia. What differentiates candidates is a portfolio demonstrating production-grade LLM work, and for the large defense and federal IT sector in Northern Virginia, eligibility for a security clearance is often a practical requirement.
Which companies hire genai engineers in Virginia?
Employers hiring genai engineers in Virginia right now include Capital One, Google, and PwC, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of defense contractors and federal IT integrators means many of these roles involve building AI systems for government agency clients alongside commercial technology work.
Which Virginia cities have the most genai engineer jobs?
McLean, Reston, and Richmond lead Virginia for genai engineer openings. Northern Virginia, anchored by the DC metro area and its dense cluster of defense contractors, federal agencies, and hyperscale data centers, accounts for the largest share, while Richmond and Hampton Roads generate openings through commercial technology firms, financial services companies, and military-adjacent employers.
Are there remote genai engineer jobs in Virginia?
Yes, and more than most fields, since genai engineering work is largely software-based and does not require physical presence. About 40% of genai engineer openings tied to Virginia are remote or hybrid as of September 2026, though roles supporting classified federal programs typically require on-site work at cleared facilities. Model development, prompt engineering, and MLOps work are the sub-areas most commonly offered remotely.
How can I get hired as a genai engineer in Virginia with little or no experience?
The most realistic entry path is transitioning from a software engineering or data engineering role into a genai-focused position, since Virginia employers frequently post associate AI engineer or ML platform engineer titles designed for candidates with general software skills but limited LLM experience. Building a public portfolio of RAG or fine-tuning projects on GitHub is the single most effective signal. Large Northern Virginia contractors like Booz Allen Hamilton and SAIC run internal AI training programs and hire recent graduates into AI analyst roles that provide a practical foundation.
Where can I find and apply to genai engineer jobs in Virginia?
You can find and apply to genai engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings across Northern Virginia, Richmond, Hampton Roads, and other locations statewide. Find the roles that fit your experience and apply directly through each listing.
See All 14 Genai Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Genai Engineer Jobs