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