Senior Consultant, OpenShift AI, Top Secret Clearance Required
About The Position
Red Hat Services is seeking a Senior Consultant to deliver practical AI implementations that solve client challenges using Red Hat OpenShift and Red Hat AI. The role is hands-on throughout technical deployments, producing functional customer outcomes such as cost-optimized inference, model services with integrated chargeback, and operationalized AI agents. The consultant works with customer teams to turn goals and delivery dates into implemented solutions and creates reusable assets—including reference architectures, runbooks, and harnesses—to help customer platform teams sustain success after delivery. The role also advocates for Red Hat AI solutions and combines open-source AI experience with an understanding of business processes. The position requires an active Top Secret clearance and residence in a state where Red Hat is registered to do business. Consultants work on-site at client locations and travel throughout North America, typically Monday through Thursday and about 30–40 weeks per year. The first year includes customized enablement in Red Hat AI technologies and Services solutions. Within two months, the consultant is expected to develop an understanding of production-ready solutions integrated with enterprise systems, build technical and consulting skills through enablement and certification, and begin collaborating within Red Hat communities. Within six months, the consultant is expected to contribute as a technical lead on customer projects and connect customer use cases and project plans to Red Hat technologies. Within 12 months, the consultant is expected to implement complex, large-scale solutions and actively share lessons and practices with internal and external communities.
Requirements
- Experience delivering implementations based on architectural designs, including hands-on technical implementation in enterprise environments.
- Ability to collaborate on project timelines and maintain project and technical documentation.
- Experience working collaboratively across diverse teams and stakeholders, including technical teams, platform engineers, and customer stakeholders.
- Current OpenShift expertise, including cluster architecture, GitOps, multi-cluster management, security, observability, and GPU-enabled nodes.
- 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.
- Working knowledge of enterprise generative AI, including inference economics, model selection and optimization, RAG and evaluation, agent frameworks and harnesses, MCP, governance, and production cost pressures.
- Application development fluency on Kubernetes, including containers, APIs, CI/CD, and trusted software supply chain practices such as SBOMs, signing, and 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 ability to transition skills rapidly from comparable tools.
- Ability to meet stakeholder needs and carry out expectations for project timelines, technical deliverables, and scope of work.
- Knowledge of and desire to mentor team members and customer engineers.
- Active Top Secret clearance.
- Residence in a state where Red Hat is registered to do business.
- Willingness to travel to customer sites throughout North America about 30–40 weeks per year.
Responsibilities
- Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI.
- Deploy, optimize, and serve AI models, and establish inference cost baselines using benchmarking tools and recipe-based optimization.
- Implement retrieval and context patterns, including RAG, context ingestion, and permission-aware context, and evaluate model performance to support 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.
- Build and integrate agentic systems and automation workflows using Ansible Automation Platform and modern agent frameworks, with security, RBAC, and auditability.
- Share knowledge, runbooks, and recipes with internal communities of practice while continuing to learn new skills, frameworks, and technologies.
- Travel weekly, Monday through Thursday, to client locations.
- Collaborate with customers and project teams to deliver implementations according to project timelines, technical deliverables, and scope.
- Mentor team members and customer engineers to foster self-sufficiency.
- Create reusable engagement assets, including reference architectures, runbooks, and harnesses.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account 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 plans for all new parents
- Disability, paid family medical leave, and paid military leave
- Employee stock purchase plan
- Family planning reimbursement
- Tuition reimbursement
- Transportation expense account
- Employee assistance program
- The position may also be eligible for bonus, commission, and/or equity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
