Role Overview
We are seeking a senior AI Engineer to lead the design, development, and secure integration of AI and machine learning capabilities into mission systems operating on classified networks. This is a hands-on technical leadership role: you will establish the architectural patterns, governance alignment, and engineering standards for AI-enabled features across the program, and grow a small team over time. You will work directly with program leadership, government stakeholders, and security/accreditation authorities to deliver AI capabilities that are effective, auditable, and compliant within a high-side environment.
Key Responsibilities
- Architect, build, and maintain AI-enabled applications and services within air-gapped and government cloud environments
- Deploy, serve, and tune large language models and ML models on-premises or in accredited cloud enclaves (no external API dependency)
- Design retrieval-augmented generation (RAG) pipelines and embedding workflows over controlled data sets, with appropriate data handling and classification controls
- Operationalize the program's AI governance framework: model capability tiering, use-case approval workflow, rules of engagement, and audit/logging requirements
- Support security accreditation activities, including AO engagement, RMF documentation inputs, and responsible AI evidence
- Build and optimize data pipelines feeding AI-driven features; integrate with existing program systems and workflows
- Establish code quality, testing, and documentation standards for the AI engineering function; mentor mid-level developers as the team grows
- Brief technical approach and results to program leadership and government customers
Required Qualifications
- Active TS/SCI with polygraph
- 8+ years of professional software development experience (or 6+ with a relevant advanced degree), including 3+ years building or integrating ML/AI capabilities
- Expert-level Python; working proficiency in at least one additional language (JavaScript/TypeScript, Java, or similar)
- Demonstrated experience deploying or serving LLMs or ML models in disconnected, on-premises, or government cloud environments (Azure Government, AWS GovCloud, or equivalent)
- Practical experience with model inference, embeddings, vector search, and prompt engineering in production systems
- Experience with containerization (Docker/Kubernetes or equivalent) and CI/CD in restricted environments
- Strong understanding of data security, classification handling, and responsible AI practices
- Proven ability to work directly with government customers and translate mission requirements into technical solutions
Preferred Qualifications
- Experience supporting RMF accreditation or AO engagement for AI/ML systems
- Familiarity with open-weight model deployment (Llama, Mistral, or similar) and model quantization/optimization for constrained hardware
- Experience with ML frameworks (PyTorch preferred)
- Prior work on IC or DoD programs; NRO experience a significant plus
- Experience standing up or leading a small engineering team
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals\li>
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Community: Award-winning culture of innovation and a military-friendly workplace\li>
OWN YOUR OPPORTUNITY
Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results.