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# Artificial Intelligence (AI) Engineer (SWE-2)

- **Company:** Leidos, Inc.
- **Location:** Linthicum Heights, MD, United States
- **Salary:** $87,100.0 - $157,450.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Confluence, JIRA, Audit Trail, Automation of Tests, Profiling, Continuous Integration, Information Engineering, Python (Programming Language), Meta-Data Management, Large Language Models, Git
- **Published:** July 30, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3332289518&tx=ZT2625TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Qualifications : Bachelor's degree plus five (5) 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.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

## Description

* 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 trails, and metadata management.
 * 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.


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