Senior AI Engineer (SWE-3)

Leidos•Linthicum Heights, MD

About The Position

Our 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're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your 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 the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities.

Requirements

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.
Active TS/SCI with Polygraph required to be considered for this role.

Nice To Haves

Familiarization with RUST, Claude Code, Codex, and CI/CD.

Responsibilities

Collaborate closely with technical leadership to 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.
Collaboratively work 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.