Consultant, OpenShift AI – Top Secret Clearance Required

Red Hat

. Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI .

Posted 10/21/2026full-timeTexas • United StatesMid-LevelSenior💰 $96,440 - $154,190 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in implementing scalable AI solutions using Red Hat OpenShift and Red Hat AI, with a strong focus on model serving, optimization, and automation workflows. Proven ability to collaborate across diverse teams, mentor others, and deliver complex technical implementations in enterprise environments.

Highest-signal resume keywords

Red Hat OpenShift ExpertiseAI Model Serving with KServeAnsible Automation Platform ExperienceApplication Development in Python, Go, or JavaActive TS/SCI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions ImplementationModel OptimizationMulti-Tenancy ConfigurationKubernetes Application DevelopmentModel Registries and PipelinesRBAC and Security ImplementationPerformance Evaluation with Eval HubContext Patterns ImplementationArchitectural Design DeliveryEvent-Driven Workflows

Soft Skills

CollaborationMentoringKnowledge SharingStakeholder EngagementAdaptability

Tools & Technologies

Red Hat AIVLLMKServeAnsible Automation PlatformMCPOpenAI-Compatible APIsLangGraphGitOpsBenchmarking ToolsGPU-as-a-Service

Industry Keywords

Generative AIInference EconomicsGovernance and Cost PressuresEnterprise AutomationTechnical Leadership

Tech Stack

Tools & technologies

AnsibleJavaKubernetesOpenShiftPythonTypeScriptGo

About the role

Key responsibilities & impact

Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI
Deploy, optimize, and serve AI models using vLLM, KServe, model registries, pipelines, benchmarking tools, and recipe-based optimization
Implement retrieval and context patterns including RAG, context ingestion, and permission-aware context
Evaluate model performance using tools such as Eval Hub to ensure release quality
Configure and maintain Models-as-a-Service and GPU-as-a-Service capabilities on OpenShift AI
Implement multi-tenancy, AI gateways, metering, and self-service accelerator access across NVIDIA, AMD, and other hardware
Build and integrate agentic systems and automation workflows using Ansible Automation Platform and agent frameworks including MCP, A2A, OpenAI-compatible APIs, and LangGraph
Build security, RBAC, and auditability into agentic systems and automation workflows
Establish reusable engagement assets such as reference architectures, runbooks, and harnesses
Work closely with customer teams to turn goals and delivery dates into functional implementations
Continuously learn, adapt to new AI skills and technologies, and share knowledge, runbooks, and recipes with communities of practice
Travel weekly, Monday-Thursday, to client locations
Progress toward technical leadership through customer project delivery, complex solution implementation, mentoring, and knowledge sharing

Requirements

What you’ll need

Experience delivering an implementation based on an architectural design
Ability to collaborate on project timelines and maintain project and technical documentation
Experience working collaboratively across diverse teams and stakeholders
Current OpenShift expertise, including cluster architecture, GitOps, multi-cluster management, security and observability, and GPU-enabled nodes
Experience with Red Hat AI or upstream technologies: OpenShift AI, vLLM, KServe model serving, 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, SBOMs, signing, and policy gates, in Python, Go, or Java
Hands-on experience with Ansible Automation Platform for enterprise automation, including event-driven workflows, or ability to transition rapidly from comparable tools
Experience delivering hands-on technical implementations based on architectural designs in enterprise environments
Ability to meet stakeholder needs and deliver project timelines, technical deliverables, and scope of work
Knowledge and desire to mentor team members and customer engineers
Active TS/SCI Clearance
Must reside in a state where Red Hat is registered to do business
Willingness to travel to customer locations for about 30-40 weeks per year throughout North America
Willingness to travel weekly, Monday-Thursday, to client locations

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