Consultant, OpenShift AI - Top Secret Clearance Required

Red Hat•Remote US FL, TX

7d•$96,440 - $154,190

About The Position

The Red Hat Services team is seeking a Consultant to implement practical AI solutions that address customer challenges using Red Hat OpenShift and Red Hat AI. The role is hands-on throughout technical deployments, delivering working outcomes such as cost-optimized inference, model services with integrated chargeback, and operationalized AI agents. The Consultant partners with customer teams to turn defined goals and delivery dates into functional implementations, and creates reusable assets—including reference architectures, runbooks, and harnesses—so customer platform teams can sustain and build on the work after delivery. The Consultant advocates for Red Hat AI solutions and combines technical expertise with interpersonal skills to solve client problems and scale enterprise AI deployments. The role involves implementing solutions for customer models, data, and operational AI; collaborating with diverse technical teams and stakeholders; and mentoring customer engineers and colleagues toward self-sufficiency. The position requires an active TS/SCI clearance, residence in a state where Red Hat is registered to do business, and willingness to travel to customer sites throughout North America for approximately 30–40 weeks per year, with weekly Monday–Thursday travel. Red Hat provides customized enablement in Red Hat AI technologies and Services solutions. During the first year, the Consultant is expected to develop production-ready solutions integrated with enterprise systems, deliver customer projects as a technical lead, translate customer use cases into project plans, implement complex large-scale solutions, and share lessons and practices with internal and external communities.

Requirements

Active TS/SCI clearance.
Must reside in a state where Red Hat is registered to do business.
Willingness to travel to customer locations throughout North America for about 30–40 weeks per year; travel is weekly, Monday through Thursday.
Experience delivering an implementation based on an architectural design, including hands-on technical implementations 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 and observability, and GPU-enabled nodes.
Experience with Red Hat AI or its upstreams, including 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 affecting production decisions.
Application development fluency on Kubernetes, including containers, APIs, CI/CD, and trusted software supply chains such as SBOM, 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 ability to rapidly transition skills from comparable tools.
Ability to meet stakeholder needs and deliver against project timelines, technical deliverables, and scope of work.
Knowledge of and desire to mentor team members and customer engineers to foster self-sufficiency.

Responsibilities

Guide customers in implementing scalable, production-ready AI solutions using Red Hat OpenShift and Red Hat AI.
Deploy, optimize, and serve AI models using technologies such as vLLM, KServe, model registries, and pipelines; benchmark and optimize inference costs.
Implement retrieval and context patterns, including RAG, context ingestion, and permission-aware context, and evaluate model performance using tools such as Eval Hub.
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, with security, RBAC, and auditability built in.
Collaborate with customer teams to deliver implementations against defined goals, timelines, technical deliverables, and scope.
Create reusable engagement assets, including reference architectures, runbooks, and harnesses, and share knowledge, runbooks, and recipes with internal communities of practice.
Mentor team members and customer engineers to foster self-sufficiency.
Travel weekly, Monday through Thursday, to client locations.
Continue learning and adapting to new skills, AI frameworks, and technologies.
Develop production-ready solutions integrated with enterprise systems and deliver customer projects as a technical lead.
Turn customer use cases and requirements into project plans aligned with Red Hat technologies.
Implement complex, large-scale solutions in customer environments and share lessons learned, best practices, and how-tos with communities of practice.

Benefits

Comprehensive medical, dental, and vision coverage.
Flexible Spending Account for healthcare and dependent care.
Health Savings Account for the high-deductible medical plan.
401(k) retirement plan 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.
The position may also be eligible for bonus, commission, and/or equity.