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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer/Software Developer - TS/SCI with Polygraph - **Company:** General Dynamics Information Technology - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $164,382.0 - $218,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Software Documentation, Software Quality, Continuous Integration, Data Security, Python (Programming Language), Machine Learning, Tensorflow, Search Technologies, Software Engineering, Systems Integration, TypeScript, Data Logging, Data Processing, Pytorch, Large Language Models, Prompt Engineering, Containerization, Kubernetes, Enterprise Integration, Machine Learning Operations, Data Pipelines, Docker - **Published:** August 15, 2026 - **Apply:** https://dejobs.org/x/x/B5C7B9523B7F4B8E95BA287A35E5D275/job/ ## About the Role Artificial Intelligence (AI),Machine Learning (ML),Python Automation Experience: 8 + years of related experience, * 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, * 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 ## Description 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., * 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 ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)