Architect, AI – Active Top Secret Clearance

Red Hat

. Design and deliver strategic AI solutions addressing clients’ business challenges through technical leadership, hands-on implementation, and enablement .

Posted 10/21/2026full-timeVirginia • United StatesSeniorLead💰 $130,420 - $215,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering strategic AI solutions, with a strong focus on OpenShift and Red Hat AI platforms. Capable of leading technical implementations, optimizing models, and ensuring customer success through effective communication and measurable outcomes.

Highest-signal resume keywords

OpenShift ExpertiseRed Hat Certified ArchitectProduction Experience with Red Hat AIProficiency in Python, Go or JavaAutomation with Ansible Automation Platform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DesignModel Selection and OptimizationKubernetes Application DevelopmentInference EconomicsMulti-Cluster ManagementCI/CD PracticesEvent-Driven AutomationModel Serving with KServeGPU-Enabled NodesAgent Frameworks

Soft Skills

Clear Writing and SpeakingLeadership in Customer EngagementsAccountability in Deliverables

Tools & Technologies

Ansible Automation PlatformOpenShift AIEval HubLlama StackLangGraphGitOps

Certifications & Qualifications

Red Hat Certified ArchitectActive Top Secret Clearance (TS/SCI CI Poly)

Industry Keywords

Enterprise TechnologyGenerative AISovereign DeploymentsAI FinOpsEU AI Act Familiarity

Tech Stack

Tools & technologies

AnsibleCloudJavaKubernetesOpen SourceOpenShiftPythonTypeScriptGo

About the role

Key responsibilities & impact

Design and deliver strategic AI solutions addressing clients’ business challenges through technical leadership, hands-on implementation, and enablement
Promote adoption of Red Hat AI platforms and solutions
Help customers make frontier and open models their own
Lead model selection, optimization, serving, and inference-cost decisions on Red Hat AI
Design portable inference across cloud APIs, on-premises clusters, and sovereign environments
Design evaluation-driven release gates in Eval Hub
Architect retrieval and context patterns, including RAG, knowledge ingestion, and permission-aware context
Lead sovereign and disconnected Red Hat AI deployments on OpenShift
Design and stand up Models-as-a-Service and GPU-as-a-Service on OpenShift AI and Red Hat AI Enterprise
Build agentic infrastructure systems through Ansible Automation Platform
Apply agent frameworks and protocols including MCP, A2A, OpenAI-compatible APIs, Llama Stack, and LangGraph
Own architecture and delivery plans for engagements ranging from two-week baselines to multi-month service builds
Set success metrics with customer sponsors and hold teams accountable
Pair with and certify customer engineers
Create reusable runbooks, reference architectures, harnesses, and recipes
Feed product gaps and customer feedback to Red Hat engineering and internal teams
Represent Red Hat’s enterprise AI perspective to CTOs, platform leaders, and FinOps teams
Support sellers in scoping measurable customer outcomes
Lead internal initiatives supporting innovation, efficiency, and growth
Travel weekly, generally Monday–Thursday, to client locations; regular travel may be required up to weekly

Requirements

What you’ll need

10+ years in enterprise technology, with at least 5 as a hands-on architect or senior consultant delivering in customer environments
Deep, current OpenShift expertise: cluster architecture, GitOps, multi-cluster management, security and observability, and GPU-enabled nodes
Red Hat Certified Architect or equivalent demonstrated depth
Production experience with Red Hat AI or its upstreams: OpenShift AI, vLLM, model serving with KServe, model registries and pipelines, and at least one of llm-d, LLM Compressor or Eval Hub
Working knowledge of enterprise generative AI, including inference economics, model selection and optimization, RAG and evaluation, agent frameworks and harnesses, MCP, and governance and cost pressures
Application development fluency on Kubernetes, including containers, APIs, CI/CD, and trusted software supply chain practices such as SBOM, signing, and policy gates
Proficiency in at least one of Python, Go or Java
Automation with Ansible Automation Platform, including event-driven automation, or an equivalent that can be mapped onto it quickly
Record of leading engagements to a measurable result on a date and leaving customer teams able to run what was built
Clear writing and speaking for technical and executive audiences
Must reside in a state where Red Hat is registered to do business
Active Top Secret Clearance (TS/SCI CI Poly) required
Willingness to travel regularly to customer locations throughout North America
Preferred: production agent development, Models-as-a-Service or GPU-as-a-Service, AI FinOps, sovereign/regulated/disconnected deployments, EU AI Act familiarity, model customization, open source contribution, and forward-deployed/customer-engineering experience

Benefits

Comp & perks

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