Senior AI Engineer (SWE-3)

Leidos is seeking a Senior AI Engineer to drive the design, development, and deployment of AI and ML tooling, including LLM-based capabilities, in support of the AI and Emerging Technologies mission. This onsite role in Linthicum Heights, Maryland, emphasizes close collaboration with technical leadership and stakeholders to capture requirements and bolster certification efforts.

Responsibilities

• Partner with technical leadership to design, build, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation systems, and automated testing pipelines. Develop and refine 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, and related data management tasks.
• Work with systems engineers to architect and deploy networked AI tools within secure enclaves and perform performance profiling, optimization, and scalability analysis of mission systems. Support security assessments and authority to operate processes.

Requirements

• Bachelor's degree plus eight 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 methodologies, Git, Jira, and Confluence.
• Active TS/SCI clearance with Polygraph is required.

Technologies

• Python
• LLM integration
• Data engineering
• Static analyzers
• RAG framework
• Relational databases
• Vector databases
• Agile
• Git
• Jira
• Confluence
• RUST
• Claude Code
• Codex
• CI/CD

Compensation

Salary range: USD 107,900 - 195,050 per year.

Benefits

• Paid Time Off
• 11 paid Holidays
• 401K with 6% company match and immediate vesting
• Flexible Schedules
• Discounted Stock Purchase Plans
• Technical Upskilling
• Education and Training Support
• Parental Paid Leave