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Senior AI Engineer / Software Developer - TS/SCI with Polygraph
General Dynamics Information Technology
3 hours ago
Full-time
On-site
Chantilly, Virginia, United States
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 to start Security+CE or other IAT Level II or higher certification required to start Bachelors degree or equivalent experience. 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 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
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.
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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 to start Security+CE or other IAT Level II or higher certification required to start Bachelors degree or equivalent experience. 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 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
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.
#J-18808-Ljbffr