Artificial Intelligence Engineer
Actively Hiring
Full-time $140k - $150k Posted 14 days ago
Responsibilities
- check_circle Design, build, and operate AI and machine learning capabilities supporting cyber tool integration and security operations automation.
- check_circle Own the six-pillar AI validation framework: categorize, test, and validate AI technologies before deployment, with testing traceable to each pillar.
- check_circle Deliver the Autonomous Workflow Library, jointly with the DevSecOps Engineer.
- check_circle Produce the quarterly Security Control Effectiveness Report.
- check_circle Maintain the AI System / LLM Development and Operation Documentation Package.
- check_circle Issue AI Model / LLM Change Disclosures no later than 30 days prior to any model change.
- check_circle Meet the AI attestation and disclosure obligations the program carries, and document model behavior and changes for a Government audience.
- check_circle Partner with the Cloud Security Architect and DevSecOps Engineer to integrate AI capability into the enterprise security toolset without expanding the attack surface.
Basic qualifications
- 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 Systems, Information Assurance, Information Security, Data Science, or a related field.
- A defensible, documented methodology for categorizing, testing, and validating AI technologies prior to deployment.
- Working knowledge of Federal AI governance obligations, including attestation and disclosure requirements.
- Ability to write model behavior and change documentation that will stand up to Government review.
- Proficiency in Python and modern ML/LLM tooling, and the engineering discipline to move a model from prototype to a supportable production capability.
Preferred qualifications
- NIST AI Risk Management Framework experience.
- Security operations automation using large language models - triage, enrichment, detection engineering, or response orchestration.
- Published or otherwise demonstrable AI evaluation methodology.
- Experience deploying models in a FedRAMP or Federal cloud environment.
- Prior VA program experience, particularly within OIT or OIS.
Tags & Focus Areas
Fulltime Remote Ai Ai Engineer Machine Learning
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