Senior AI Engineer
BigBear.ai2 years ago
Annapolis Junction, MD, USASenior
Responsibilities
- Collaborate with technical leadership and mission stakeholders to capture requirements, plan solutions, and improve certification processes with AI/ML tooling.
- Design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG systems, and automated testing pipelines.
- Build data-preprocessing pipelines to ingest, clean, transform, and vectorize documentation, source code, and test results.
- Design and implement relational and vector database solutions for RAG architectures, artifact storage, audit trails, and metadata management.
- Develop and fine-tune LLM-based tools for vulnerability identification and mitigation.
- Architect and deploy networked AI tools within secure enclaves and conduct performance, optimization, and scalability analysis.
- Support security assessments and authority-to-operate processes.
Requirements
- Bachelor’s degree plus 8 years of relevant experience or equivalent.
- Active TS/SCI clearance with Polygraph.
- Proficiency in Python, LLM integration, and data engineering.
- Experience with static analyzers, RAG frameworks, relational databases, and vector databases.
- Familiarity with Git, Jira, and Confluence.
- Ability to collaborate with systems engineers on secure AI-tool architecture and deployment.
- Familiarity with Rust, Claude Code, Codex, and CI/CD preferred.
Categories
About BigBear.ai
BigBear.ai develops AI-powered decision intelligence software, computer vision, and modeling/simulation tools for U.S. defense, intelligence, federal civilian, and critical-infrastructure markets. It sells software platforms and contract services, often deployed in secure government clouds, to support mission planning, logistics, and cybersecurity. Founded in 1988 and headquartered in McLean, Virginia, BigBear.ai is a public company listed on the NYSE under the ticker BBAI.