Senior AI Engineer - Mission-Critical Intelligence

Leidos Inc; Linthicum (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

Leidos is seeking a Senior AI Engineer in the Intel Sector to lead AI/ML tooling, LLM integration, and data engineering efforts for secure mission software. You will collaborate with mission stakeholders, capture requirements, and support certification processes while advancing AI-enabled vulnerability identification and mitigation capabilities.

The role emphasizes building LLM orchestrations, secure enclaves deployments, and scalable data pipelines to support national security objectives.

Qualifications

• 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, Git, Jira, and Confluence.

Responsibilities

• Design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, RAG systems, and automated testing pipelines.
• Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize 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.
• Collaborate with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis.

Skills

Python

LLM integration

Data engineering

Static analyzers

RAG framework

Relational databases

Vector databases

Agile

Git

Jira

Confluence

RUST

Claude Code

Codex

CI/CD

Education

Bachelor's degree

8+ years of relevant experience

Tools

Git

Jira

Confluence

Job description

Leidos is seeking a Senior AI Engineer in the Intel Sector to lead AI/ML tooling, LLM integration, and data engineering efforts for secure mission software. You will collaborate with mission stakeholders, capture requirements, and support certification processes while advancing AI-enabled vulnerability identification and mitigation capabilities.

The role emphasizes building LLM orchestrations, secure enclaves deployments, and scalable data pipelines to support national security objectives.