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Leidos

Senior AI Engineer (SWE-3)

Leidos
Linthicum Heights, MD $108k - $195k/yr Full time Posted 10d ago
Senior Agile Ai Ml Anthropic Claude Code Artificial Intelligence Atlassian CI/CD Collaboration Data Architecture Data Engineer Data Pipeline DevOps Engineer Large Language Models Machine Learning Rag Architectures Software Development Software Engineering Workflow Management
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Job Description

Senior AI Engineer at Leidos, onsite in Linthicum Heights, MD, designs, develops, and deploys AI and ML tooling and LLM based capabilities to support the AI and Emerging Technologies mission.

Responsibilities

  • Mission Focus: 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 tra
  • Technical Proficiency: 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.
  • 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.

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.

Technologies

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

Benefits

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

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