Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks• Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines• Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption• Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails• Work with systems engineers to architect and deploy networked AI tools within secure enclaves• Perform performance profiling, optimization, and scalability analysis of mission systems• Support security assessments and Authority to Operate (ATO) activities. • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience• Associate’s degree with seven (7) years of clearly related experience may be considered• Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics• Proficiency in Python and AI/ML integration• Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases• Familiarity with Agile development and tools such as Git, Jira, and Confluence• Relevant experience across the software development lifecycle• Active TS/SCI with Polygraph.