Senior AI Engineer; SWE

Overview

Leidos has a new and exciting opportunity for a Senior AI Engineer in our Intel Sector
. The engineer will work on Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. This role offers competitive benefits and opportunities to contribute to national security missions.

Our LOE program provides our customer s Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we push the boundaries to find new data sources and tradecraft to answer intelligence questions. The prototype development program fosters collaboration in a fast-paced environment to grow skills and make a real impact.

Seeking a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support AI and Emerging Technologies (AI&ET) initiatives. The engineer will work with mission stakeholders to capture requirements, aid structured planning, and improve the certification process by introducing AI/ML tooling. The role includes developing tools and techniques to include fine-tuning Large Language Models (LLMs) that assist in vulnerability identification and mitigation capabilities.

• Mission Focus
  :
  Design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
• Technical Proficiency
  :
  Collaborate with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. Support security assessments and authority to operate (ATO) processes.
• Qualifications
  :
  Bachelor s degree plus eight (8) years of relevant experience or equivalent. Proficiency in Python, LLM integration, and data engineering. Experience with static analyzers, RAG framework, and relational and vector databases. Familiarization with Agile, Git, Jira, and Confluence.
• Security Clearance
  :
  Active TS/SCI with Polygraph required.
• Desirable Skills
  :
  Familiarization with RUST, Claude Code, Codex, and CI/CD.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.