Senior AI Engineer — LLM/AI Security (TS/SCI)

Energy Jobline ZR; Linthicum (MD); On-site; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Senior AI Engineer to advance AI/ML tooling for mission-focused challenges in the Intel Sector. The role emphasizes LLM orchestration, data engineering, and secure enclave deployments, with significant collaboration to meet certification requirements.

The candidate will work on rapid prototyping, new development, and advanced research, contributing to vulnerability identification and mitigation through AI/ML approaches. A strong background in AI/ML and security is essential.

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.

Responsibilities

• Design, develop, and maintain LLM orchestration frameworks.
• Build data preprocessing pipelines to ingest, clean, transform, and vectorize docs, 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 AI tools in secure enclaves and analyze performance, scalability, and security.
• Support security assessments and authority to operate (ATO) processes.
• Improve the certification process by introducing AI/ML tooling.

Skills

Python

LLM integration

Data engineering

Agile

Education

Bachelor's degree

Tools

Git

Jira

Confluence

Job description

Leidos is seeking a Senior AI Engineer to advance AI/ML tooling for mission-focused challenges in the Intel Sector. The role emphasizes LLM orchestration, data engineering, and secure enclave deployments, with significant collaboration to meet certification requirements.

The candidate will work on rapid prototyping, new development, and advanced research, contributing to vulnerability identification and mitigation through AI/ML approaches. A strong background in AI/ML and security is essential.