University of the Cumberlands

Platform Engineer

• Design, deploy, and manage on-premises and hybrid AI infrastructure, including NVIDIA GPU environments and NVIDIA AI Enterprise
• Deploy, optimize, and maintain locally hosted LLMs and inference services using NVIDIA NIM, vLLM, Ollama, or comparable tools
• Build secure APIs and services connecting approved AI capabilities to University applications and users
• Monitor performance, optimize GPU resources, troubleshoot issues, and maintain security, reliability, and scalability
• Use Linux, containers, scripting, and platform engineering practices to streamline operations
• Partner across IT and the AI Lab, evaluate emerging technologies, and influence platform architecture

Explore Senior AI Platform Engineer at University of the Cumberlands. Review requirements and application details.

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Senior AI Platform Engineer