Enterprise AI Architect: OpenShift & Sovereign Deployments

Red Hat; Virginia; On-site; USD 130,000 - 215,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company match

Paid time off and holidays

Parental leave

Job summary

Red Hat is seeking an AI Architect to design and deliver strategic AI solutions for clients. You will lead model selection, cost optimization, and portable inference across cloud and on-prem environments, while promoting adoption of Red Hat AI platforms.

This on-site role requires regular travel across North America, and candidates must reside where Red Hat is registered to do business and hold TS/SCI CI Poly clearance.

Qualifications

• 10+ years in enterprise technology with hands-on architect or senior consultant experience.
• Deep OpenShift expertise including cluster architecture, GitOps and security.
• Production experience with Red Hat AI or upstreams (OpenShift AI, model serving).
• Strong understanding of generative AI economics, RAG and evaluation.
• Fluent in Kubernetes, APIs, CI/CD and trusted software supply chain.

Responsibilities

• Lead model selection, optimization and serving decisions for Red Hat AI.
• Design portable inference across cloud, on-prem and sovereign environments.
• Architect retrieval and context patterns (RAG, knowledge ingestion).
• Lead sovereign and disconnected deployments with governance and provenance.
• Run Models-as-a-Service and GPU-as-a-Service on OpenShift AI.
• Build agentic systems via Ansible Automation Platform with RBAC and audits.
• Lead engagements, pair with customer engineers, and leave reusable assets.

Skills

OpenShift expertise

Kubernetes

Python/Go/Java

Leadership

Communication (executive)

Open source awareness

Problem solving

Tools

OpenShift AI

KServe

vLLM

Llama Stack

LangGraph

GitOps

Ansible Automation Platform

Run:ai

Kueue

Job description

Red Hat is seeking an AI Architect to design and deliver strategic AI solutions for clients. You will lead model selection, cost optimization, and portable inference across cloud and on-prem environments, while promoting adoption of Red Hat AI platforms.

This on-site role requires regular travel across North America, and candidates must reside where Red Hat is registered to do business and hold TS/SCI CI Poly clearance.