Senior AI Engineer - Cybersecurity & LLM Automation, Remote

Triumph Enterprises, Inc; Washington, Northern (District of Columbia, KY); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Triumph Enterprises, Inc. is seeking an Artificial Intelligence Engineer to apply machine learning and large language models to cybersecurity operations.

You will own the evaluation methodology to determine whether an AI capability is fit to deploy in a Federal security environment. The role requires a strong background in ML/LLM engineering, governance with DoD-level attestations, and the ability to document model behavior for government review.

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 related field.
• Defensible, documented methodology for categorizing, testing, and validating AI technologies prior to deployment.

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 and ensure testing is traceable to each pillar.
• Deliver the Autonomous Workflow Library 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 at least 30 days before model changes.
• Meet AI attestation and disclosure obligations for Government review.

Skills

Machine learning

LLM engineering

Python

Security operations

Education

Master's degree in Cybersecurity

Tools

ML tooling

Job description

Triumph Enterprises, Inc. is seeking an Artificial Intelligence Engineer to apply machine learning and large language models to cybersecurity operations.

You will own the evaluation methodology to determine whether an AI capability is fit to deploy in a Federal security environment. The role requires a strong background in ML/LLM engineering, governance with DoD-level attestations, and the ability to document model behavior for government review.