Senior Consultant, OpenShift AI, Top Secret Clearance Required

Red Hat, Inc.; Maryland; Hybrid; USD 130,000 - 215,000; Full time

Job summary

Red Hat, Inc. is seeking a Senior Consultant for OpenShift AI to lead hands-on deployments and deliver production‑grade AI solutions for clients across North America. You will apply OpenShift, OpenShift AI, vLLM, KServe, and related tooling to architect, deploy, and optimize AI models and services.

Travel weekly to client sites (Mon-Thu) and collaborate with enterprise engineers, data scientists, and sponsor teams. A Top Secret clearance is required.

Qualifications

• Experience delivering implementations based on architectural designs in enterprise environments.
• Ability to collaborate with stakeholders and maintain project documentation.
• Experience working across diverse teams and customer environments.

Responsibilities

• Guide customers in implementing scalable, production-ready AI solutions using OpenShift and OpenShift AI.
• Deploy, optimize, and serve AI models with vLLM, KServe, model registries and pipelines.
• Configure and maintain Models-as-a-Service and GPU-as-a-Service on OpenShift AI with multi-tenancy and metering.
• Build and integrate agentic systems and automation workflows using Ansible Automation Platform.
• Continuously learn, share knowledge, and contribute runbooks and recipes to internal communities.

Skills

OpenShift

OpenShift AI

Kubernetes

RBAC

Ansible

Tools

Ansible Automation Platform

KServe

Eval Hub

LangGraph

MCP

Job description

Senior Consultant, OpenShift AI, Top Secret Clearance RequiredThis website uses Required cookies to enable basic features of the website to function and to maintain and improve website safety and security. By using this website, you agree to the use of Required cookies. Please see our Privacy Statement for more information.# Careers at Red Hat## Senior Consultant, OpenShift AI, Top Secret Clearance RequiredApply: Remote: Remote US VA: Remote US MD: Full time: Posted Today: R-060226The Red Hat Services team is looking for a Senior Consultant to implement practical AI solutions that directly solve client challenges using Red Hat OpenShift and Red Hat AI. In this role, you are hands-on throughout technical deployments on engagements that produce tangible outcomes—such as cost-optimized inference, model services with integrated chargeback, or operationalized AI agents. You will work closely with customer teams to turn defined goals and delivery dates into fully landed, functional implementations. To help customer platform teams sustain success long after delivery, you will establish reusable assets on every engagement, including reference architectures, runbooks, and harnesses.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.We seek people excited about working with us and growing their careers at Red Hat. We want to be transparent about what would make you most successful in the role, and if you are excited by reading the job description and feel you are suitable for the part, we encourage you to apply.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 Top Secret Clearance. **What you will do:**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. **What you will bring:*** Required Experience: + 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. **After joining Red Hat,** here's how your skill set will evolve and what you'll learn during your first year in the role. An intensive customized enablement program on Red Hat AI technologies and Services solutions will layer on AI specifics. 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.The salary range for this position is $130,420.00 - $215,300.00. Actual offer will be based on your qualifications.**Pay Transparency**Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.