Experteer Overview In this role you guide enterprise customers through onboarding, training, and early adoption of a joint AI platform hosted on a large-scale GPU infrastructure.

You will translate customer needs into technical designs, lead Proofs of Concept, and ensure seamless integration of LLMs, GPU compute, and AI pipelines.

As a trusted advisor, you optimize workloads, enable efficient use of GPU clusters, and promote best practices across platforms and teams.

This position offers a chance to shape how large organizations adopt scalable AI solutions in a secure, high-performance environment.

Compensaciones / Ventajas• Onboard and train customers; mentor specialists on GPU clusters and AI environments• Design and execute PoCs, including environment setup and deployment workflows• Translate business needs into technical specifications and architectures• Optimize performance, troubleshoot,



and validate delivered AI solutions• Coordinate across infrastructure, networking, automation, security, and AI services• Develop automation concepts to improve services and operating models• Ensure reliability, scalability, and security across the customer lifecycle• Support monitoring, observability, and capacity planning for AI workloads and GPU utilization

Responsabilidades• Customer-facing Dev

Ops experience in AI/GPU contexts• Experience designing and delivering PoCs and customer architectures• Ability to troubleshoot complex AI/workload pipelines and optimize performance• Strong collaboration with cross-functional teams (infrastructure, security, AI services)• Experience with monitoring/observability and capacity planning

Requisitos principales•

📌 Principal DevOps Engineer (m/f/d) for Industrial AI Cloud (Granada)
🏢 Deutsche Telekom
📍 Granada