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Red Hat
Red Hat
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Red Hat develops enterprise open source software for organizations building, running, and modernizing applications across hybrid cloud environments. Its portfolio includes Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform, helping teams operate IT services across diverse infrastructure with an emphasis on secure, stable, and adaptable technology. Founded in 1993, the company brings together a large global workforce and open source communities to advance enterprise computing. Its hiring spans roles supporting cloud platforms, enterprise software, automation, and the technologies used to modernize IT operations.
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Senior AI Architect, Top Secret Clearance

Architect and deploy Red Hat enterprise AI solutions on OpenShift, guiding customer work across model platforms and automation. Lead customer engagements with regular on-site delivery, typically Monday through Thursday.

USUnited StatesVAVirginia
$130,420 – $215,300 / year
HybridFull-timeSeniorLeadEnglish RequiredAI EngineerMachine Learning Engineer
AnsibleCloudGoJavaKubernetesOpen SourceOpenShiftPythonTypeScript

Description

  • Lead customer AI projects from architecture through implementation and enablement
  • Increase adoption of Red Hat AI platforms and solutions
  • Help customers adapt frontier and open models to their needs
  • Guide model selection, optimization, serving, and inference cost decisions on Red Hat AI
  • Design portable inference across cloud APIs, on-premises clusters, and sovereign environments
  • Create evaluation-based release gates in Eval Hub
  • Develop retrieval and context architectures, including RAG, knowledge ingestion, and permission-aware context
  • Deliver sovereign and disconnected Red Hat AI deployments on OpenShift
  • Build Models-as-a-Service and GPU-as-a-Service on OpenShift AI and Red Hat AI Enterprise
  • Develop agentic infrastructure with Ansible Automation Platform
  • Use agent frameworks and protocols such as MCP, A2A, OpenAI-compatible APIs, Llama Stack, and LangGraph
  • Own architecture and delivery plans for projects from two-week baselines to multi-month service builds
  • Agree on success measures with customer sponsors and keep teams accountable for results
  • Coach and certify customer engineers
  • Produce reusable runbooks, reference architectures, harnesses, and recipes
  • Share product gaps and customer feedback with Red Hat engineering and internal teams
  • Present Red Hat’s enterprise AI perspective to CTOs, platform leaders, and FinOps teams
  • Help sales teams scope measurable customer outcomes
  • Lead internal initiatives that advance innovation, efficiency, and growth
  • Travel to customer sites regularly, typically Monday through Thursday and potentially weekly.

Requirements

  • Bring at least 10 years of enterprise technology experience, including five or more years as a hands-on architect or senior consultant delivering in customer environments.
  • Have deep, current OpenShift expertise spanning cluster architecture, GitOps, multi-cluster management, security, observability, and GPU-enabled nodes.
  • Hold Red Hat Certified Architect credentials or demonstrate equivalent expertise.
  • Have production experience with Red Hat AI or upstream technologies, including OpenShift AI, vLLM, KServe model serving, model registries and pipelines, and at least one of llm-d, LLM Compressor, or Eval Hub.
  • Understand enterprise generative AI, including inference economics, model selection and optimization, RAG and evaluation, agent frameworks and harnesses, MCP, governance, and cost pressures.
  • Be fluent in application development on Kubernetes, including containers, APIs, CI/CD, and trusted software supply chain practices such as SBOMs, signing, and policy gates.
  • Be proficient in Python, Go, or Java.
  • Have automated with Ansible Automation Platform, including event-driven automation, or be able to quickly map equivalent experience to it.
  • Show a record of delivering measurable engagement outcomes on schedule and enabling customer teams to operate the resulting systems.
  • Communicate clearly in writing and speech with technical and executive audiences.
  • Reside in a state where Red Hat is registered to do business.
  • Hold an active Top Secret clearance (TS/SCI CI Poly).
  • Be willing to travel regularly to customer locations across North America.
  • Preferred experience includes production agent development, Models-as-a-Service or GPU-as-a-Service, AI FinOps, sovereign, regulated, or disconnected deployments, familiarity with the EU AI Act, model customization, open source contributions, and forward-deployed or customer engineering.

Benefits

  • Medical, dental, and vision coverage
  • Flexible Spending Accounts for healthcare and dependent care
  • Health Savings Account with a high-deductible medical plan
  • 401(k) retirement plan with employer match
  • Paid time off and holidays
  • Paid parental leave for all new parents
  • Leave options including disability, paid family medical, and paid military leave
  • Employee stock purchase plan
  • Family planning reimbursement
  • Tuition reimbursement
  • Transportation expense account
  • Employee assistance program

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