> Markdown version of [/jobs/ext/3606641-technical-enablement-architect](https://www.wearedevelopers.com/jobs/ext/3606641-technical-enablement-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Enablement Architect - **Company:** Rafco-Brickform, LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Centers, Machine Learning, Platform as a Service (PAAS), Virtualization Technology, Private Cloud Environment, Graphics Processing Unit (GPU), Cloud Platform System, Generative AI, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Machine Learning Operations, Hardware Infrastructure - **Published:** October 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/8b56b6e7-1e1f-45f7-aad4-e02908d12611/technical-enablement-architect-gpu-platform ## About the Role The ideal candidate combines strong infrastructure and cloud-native architecture skills with the ability to communicate complex technical concepts clearly. You should be comfortable working across GPU infrastructure, networking, storage, virtualization, Kubernetes and AI/ML workloads., * 6+ years of experience in solutions architecture, solutions engineering, infrastructure engineering, DevOps, platform engineering, or a related technical role. \n * Strong understanding of Kubernetes and cloud-native infrastructure. \n * Experience designing or operating infrastructure across public cloud, private cloud, or data center environments. \n * Understanding of GPU infrastructure and AI/ML workloads, including GPU scheduling, drivers, operators, resource allocation, and workload lifecycle. ## Description We are seeking a Technical Enablement Architect - Rafay GPU Platform to join our product team. You will work closely with product managers, engineering, technical publications, and field solution architects to define, validate, and document how customers deploy and operate Rafay's GPU Platform., You will have the opportunity to work on cutting-edge infrastructure spanning GPUs, AI/ML, Generative AI, Kubernetes, virtualization, and modern data center technologies.