Drimva

Red Hat

Architect, AI - Active Top Secret Clearance

$130K–$215K

Remote US VA · Hybrid · Full-time · Posted Oct 21, 2026

Experience
10+ years in enterprise technology, with at least 5 as a hands-on architect or senior consultant.

About the job

Architect and deliver customer AI platforms and services using Red Hat technologies, leading engagements from design through implementation and customer enablement.

What you'll do

  • Design and deploy AI inference, retrieval, evaluation, and model-serving solutions, including sovereign and disconnected environments.
  • Lead customer engagements, define measurable outcomes, and train customer engineers to operate delivered solutions.
  • Build reusable delivery assets and provide evidence-based product feedback to Red Hat teams.

What they ask for

  • Active Top Secret Clearance (TS/SCI CI Poly); willingness to travel regularly to customer locations throughout North America.
  • 10+ years in enterprise technology, including at least 5 years as a hands-on architect or senior consultant delivering in customer environments.
  • Deep OpenShift expertise and production experience with Red Hat AI or its upstreams, including OpenShift AI, vLLM, KServe, and at least one of llm-d, LLM Compressor, or Eval Hub.
  • Kubernetes application development fluency in Python, Go, or Java; automation experience with Ansible Automation Platform or an equivalent.

Nice to have

  • Production agent development and experience designing Models-as-a-Service or GPU-as-a-Service.
  • FinOps for AI, sovereign or regulated deployments, model customization, open-source contributions, or customer-engineering experience.

Pay

$130,420.00 - $215,300.00 USD base salary

Tools

OpenShift, OpenShift AI, vLLM, KServe, llm-d, LLM Compressor, Eval Hub, Ansible Automation Platform

AI focus

Design, deploy, and optimize enterprise AI systems, including model serving, RAG, evaluation, agentic automation, AI cost management, and sovereign deployments.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)