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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Consultant, OpenShift AI - Top Secret Clearance Required - **Company:** Red Hat - **Location:** United States (Remote available) - **Salary:** $96,440.0 - $154,190.0 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Python (Programming Language), Machine Learning, Open Source Technology, OpenShift, Role-Based Access Control, Red Hat Enterprise Linux, OpenAI, Ansible, Runbook, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Model Validation, Agentic-AI, Kubernetes, Deployment Automation, Machine Learning Operations, VLLM, KServe, Agent2Agent Protocol - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=27c12b3e9026d2a1 ## About the Role You will act as a key advocate for Red Hat AI solutions, combining technical experience with strong interpersonal skills to solve client problems and scale enterprise AI deployments. Ideal candidates combine a strong background in open-source AI frameworks with a solid grasp of business processes., This position requires candidates to work on-site with clients throughout specified locations, so a willingness to travel to customer locations for about 30-40 weeks per year throughout North America is required. Successful applicants must reside in a state where Red Hat is registered to do business and hold an Active TS/SCI Clearance., + Experience with delivering an implementation based on an architectural design. + Demonstrated ability to collaborate on project timelines and maintaining project and technical documentation. + Experience working collaboratively across diverse teams and stakeholders. * Technical Skills: + Current OpenShift expertise: cluster architecture, GitOps, multi-cluster management, security and observability, GPU-enabled nodes. + 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 how enterprises run generative AI today: inference economics, model selection and optimization, RAG and evaluation, agent frameworks and harnesses, MCP, and the governance and cost pressures that shape production decisions. + Application development fluency on Kubernetes: containers, APIs, CI/CD and the trusted software supply chain (SBOM, signing, policy gates), in at least one of Python, Go or Java. + Hands-on experience with Ansible Automation Platform for enterprise automation, including event-driven workflows, or the capability to rapidly transition skills from comparable tools. + Experience delivering hands-on technical implementations based on architectural designs in enterprise environments. + Ability to meet stakeholder needs and carry-out expectations regarding project timelines, technical deliverables, and scope of work. + Experience working collaboratively across diverse technical teams, platform engineers, and customer stakeholders. + Knowledge and desire to mentor team members and customer engineers to foster self-sufficiency. ## Description Red Hat customers aim to personalize AI across three core areas: their models, their data, and their operational AI. Your responsibilities align directly with these key pillars: * Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI. * Deploy, optimize, and serve AI models (vLLM, KServe, model registries, pipelines) and baseline inference costs using benchmarking tools and recipe-based optimization. * Implement retrieval and context patterns (RAG, context ingestion, permission-aware context) and evaluate model performance using tools like Eval Hub to ensure release quality. * Configure and maintain Models-as-a-Service and GPU-as-a-Service capabilities on OpenShift AI, including 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 modern agent frameworks (MCP, A2A, OpenAI-compatible APIs, LangGraph, etc.) with security, RBAC, and audit ability built in. * Continuously learn, grow, and adapt to new skills, AI frameworks, and technologies while sharing knowledge, runbooks, and recipes back to internal communities of practice. * Travel weekly, Monday-Thursday, to client locations., In two months, be prepared to join a project team by acquiring the following: * Understanding of how to build production-ready technical solutions integrated with existing enterprise systems. * Learn technologies and consulting skills to enhance your abilities through enablements designed and taught by Red Hat experts and certification. * Through everyday networking and community events, gain exposure and collaboration within Red Hat Services & the more prominent organization. Within six months, be ready to support customer success on a project by attaining the following: * Successful, collaborative delivery of customer projects as a technical lead through expertise in Red Hat's technologies. * Knowledge of how a customer use case can be developed into a project plan and how those requirements align with Red Hat's technologies. * Continue expanding your knowledge and network, both internal and external, through enablement, communities, customers, and meetups. Within 12 months, demonstrate technical leadership by accomplishing the following: * Successfully implementing complex, large-scale solutions in customer environments. * Active engagement and knowledge sharing with our internal and external communities of practice on lessons learned, best practices, and how-tos.