AI Model Serving Specialist

Enable enterprise customers to operationalize AI workloads by deploying and optimizing model-serving platforms (e.g., NVIDIA Triton, vLLM, KServe) within Rackspace’s Private Cloud and Hybrid environments. This role bridges AI engineering and platform operations, ensuring secure, scalable, and cost-efficient inference services.

Hands-on experience with NVIDIA Triton, vLLM, or similar serving stacks. Strong knowledge of Kubernetes, GPU scheduling, and CUDA/MIG.Familiarity with VMware VCF9, NSX-T networking, and vSAN storage classes. Proficiency in Python and containerization (Docker).Understanding of observability stacks (Prometheus, Grafana) and FinOps principles.

Exposure to RAG architectures, vector DBs, and secure multi-tenant environments. Excellent problem-solving and customer-facing communication skills.

Rackspace Technology is a leading end-to-end multicloud technology solutions company. With a history dating back to 1998, Rackspace has been a trailblazer in helping businesses navigate and optimize their cloud environments. The company's comprehensive suite of services, including cloud management, security, and application modernization, has positioned Rackspace as a trusted partner for organizations looking to harness the power of the cloud for innovation and growth.