Artificial Intelligence Engineer - Federal Cybersecurity; VA)

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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 role requires a current DoD 8140/8570 Level III certification at the time of application. It is a Government requirement on a Federal contract and cannot be waived, substituted, or satisfied by a plan to certify later. A PMP does not substitute for it on this position.

One or more of the following:
Information Assurance Technician (IAT) III, Information Assurance Management (IAM) III, or Information Assurance System Architect and Engineer (IASAE) III. Commonly satisfied by CISSP, CISSP-ISSAP, CISSP-ISSEP, CCSP, CISM, CCISO, CASP+/SecurityX, CISA, or GSLC. Certification is verified against the current DoD 8140 qualification matrix before an offer is extended. The credentials named above are those most commonly held; any other credential on the current matrix at the required level also qualifies.

Credentials that do not meet this requirement include PMP, Security+, CySA+, CEH, CRISC, ITIL, and vendor cloud certifications such as AWS or Azure Security. We ask that you not apply without a Level III credential.

Note to applicants: this combination -- senior AI/ML engineering plus a DoD 8570 Level III certification -- is uncommon. If you hold the technical depth and are actively pursuing the certification, tell us where you are in the process and we want to talk to you.

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.

• 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 Dev Sec Ops  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 Dev Sec Ops  Engineer to integrate AI capability into the enterprise security toolset without expanding the attack surface.

• A current Level III certification as described above.
• Minimum 10 years of information technology experience, with demonstrated applied machine learning or LLM engineering in a security or operations context.
• Master's degree in Cybersecurity, Computer Science, Information…