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# Senior AI Engineer

- **Company:** BigBear.ai, Inc.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Confluence, JIRA, Audit Trail, Automation of Tests, Profiling, Information Engineering, Python (Programming Language), Machine Learning, Meta-Data Management, Software Engineering, Large Language Models, Git
- **Published:** July 30, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17753262?backUrl=%2Fcareer%2F17753262%2FSenior-Ai-Engineer-Maryland-Annapolis-Junction

## About the Role

* Bachelor's degree plus 8-years of relevant experience or equivalent.
 * Active TS/SCI with Poly
 * Proficiency in Python, LLM integration, and data engineering.
 * Experience with static analyzers, RAG framework, and relational and vector databases.Fa
 * Fimiliarization with Agile, Git, Jira, and Confluence.
 * 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.

## Description

BigBear.ai is 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.
What you will do

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.
What you need to have


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