Artificial Intelligence Engineer

Triumph Enterprises is building the team for a Department of Veterans Affairs Office of Information and Technology / Office of Information Security (OIT/OIS) program covering enterprise cybersecurity architecture and engineering. We are seeking an Artificial Intelligence Engineer to apply machine learning and large language models to cybersecurity operations and to own the evaluation methodology that determines whether an AI capability is fit to deploy.

Program: VA Cybersecurity Architecture and Engineering Services (COSE)

Location: Washington, DC (Remote) | Full-Time, Exempt | Contingent upon contract award

This is a build-and-prove role in equal measure. Our technical approach commits to a six-pillar validation framework applied before any AI capability is deployed, with testing mapped to each pillar. The engineer in this seat is accountable both for the automation that gets built and for the defensible evidence that it should be trusted in a Federal security environment.

RESPONSIBILITIES

• Design, build, and operate AI and machine learning capabilities supporting cyber tool integration and security operations automation.
• Own the six-pillar AI validation framework: categorize, test, and validate AI technologies before deployment, with testing traceable to each pillar.
• Deliver the Autonomous Workflow Library, jointly with the DevSecOps Engineer.
• Produce the quarterly Security Control Effectiveness Report.
• Maintain the AI System / LLM Development and Operation Documentation Package.
• Issue AI Model / LLM Change Disclosures no later than 30 days prior to any model change.
• Meet the AI attestation and disclosure obligations the program carries, and document model behavior and changes for a Government audience.
• Partner with the Cloud Security Architect and DevSecOps Engineer to integrate AI capability into the enterprise security toolset without expanding the attack surface.

REQUIRED QUALIFICATIONS

* Minimum 10 years of informat