Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies. Backed by Greylock and Menlo.
About the role
The Red Hat Services team is looking for a 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- 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
More about this role
The Red Hat Services team is looking for a 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...
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