About this role
Lead IS&T's strategy and planning for artificial intelligence in research computing within Research Computing Services (RCS), set and drive the technical roadmap for AI-enabled research computing including GPU and accelerator capacity planning, containerized and AI workflows, and MLOps tooling. Supervise the team executing this work, coordinate infrastructure and support for university researchers, and manage incident response, service requests, and documentation.
Skills for this role
Artificial IntelligenceMachine LearningResearch ComputingAdvanced Computing InfrastructureGPU capacity planningAccelerator capacity planningContainerized workflowsMLOps toolingData pipelinesModel servingIncident managementTechnical project coordinationService request fulfillmentCross-functional collaborationStaff supervisionTeam mentoringPerformance managementOperational reportingBusiness process analysisSecure Research EnclavesRegulated research systemsChargeback modelsTechnical trainingTechnical documentation