Senior AI Platform Engineer

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🔥 0 minutes ago

🐎 Kentucky – Remote

🐎 Kentucky – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 12%

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University of the Cumberlands

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1888

📚 Education

Education

University of the Cumberlands is a regionally accredited university based in Williamsburg, Kentucky (with a Northern Kentucky campus in Florence) that offers on-campus and online undergraduate, graduate, executive and certificate programs. The school emphasizes affordability and access through its Cumberlands Commitment and One Price Promise (bundled tuition that includes books and many fees), provides more than 55 majors and pre‑professional programs, serves a large student body (about 20k), and highlights student support services, military‑friendly programs, and campus athletics.

📋 Description

• 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

🎯 Requirements

• Significant professional experience in platform engineering, DevOps, systems engineering, or enterprise infrastructure • Demonstrated responsibility for deploying and supporting production AI/ML environments • Hands-on experience deploying or administering NVIDIA GPU-based AI infrastructure, NVIDIA AI Enterprise, NVIDIA NIM, or comparable AI/ML and enterprise inference platforms • Strong Linux, networking, containers, and modern infrastructure knowledge • Scripting and automation experience with Python, Bash, or similar tools • Familiarity with APIs, authentication, security, and monitoring • Bachelor’s degree in a related technical field or equivalent professional experience • Direct experience with NVIDIA AI Enterprise and NVIDIA NIM; CUDA or GPU performance optimization • Experience with vLLM, Ollama, Hugging Face, Docker, Kubernetes, infrastructure as code, or CI/CD • Knowledge of MLOps/LLMOps, vector databases, embeddings, or retrieval-augmented generation (RAG) • Experience with enterprise API gateways, hybrid cloud, higher education, or research computing

🏖️ Benefits

• Opportunity to build and shape a new enterprise AI platform • Hands-on work with NVIDIA GPU computing, enterprise AI software, and open-weight language models • Opportunity to support teaching, learning, research, and institutional innovation • Influence over tool selection, technical standards, and platform improvements

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