Artificial Intelligence Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Triumph Enterprises, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

🎖️ Defense

📦 Logistics

🏭 Manufacturing

Defense • Logistics • Manufacturing

Triumph Enterprises, Inc. is a service disabled veteran owned small business committed to delivering exceptional services, solutions, quality, and value to federal clients. The company specializes in a range of services including cybersecurity, business intelligence, program management, additive manufacturing, and IT service management. Triumph emphasizes the importance of data-driven insights and proactive solutions to meet the evolving needs of the federal government, challenging traditional approaches to ensure mission success.

📋 Description

• Design, build, and operate AI and machine learning capabilities supporting cyber tool integration and security operations automation • Own the six-pillar AI validation framework by categorizing, testing, and validating AI technologies before deployment • Ensure testing is traceable to each validation-framework 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 AI attestation and disclosure obligations and document model behavior and changes for a Government audience • Partner with the Cloud Security Architect and DevSecOps Engineer to integrate AI capabilities into the enterprise security toolset without expanding the attack surface

🎯 Requirements

• 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 • Engineering discipline to move a model from prototype to a supportable production capability • One or more of IAT III, IAM III, or IASAE III certifications, commonly satisfied by CISSP, CISSP-ISSEP, CISM, or CASP+ • Certification verified before an offer is extended • Must be a U.S. citizen • Able to obtain and maintain a Tier 4 / High Risk Public Trust investigation, VA systems access, and PIV credentialing • No work may begin until an interim determination is received

🏖️ Benefits

• Regular full-time employment • Exempt status • Travel expected to be 0–10% • Tier 4 / High Risk Public Trust background investigation and related VA systems access and PIV credentialing as part of the role