Experteer Overview In this role, you guide enterprise customers through onboarding, training, and early adoption of a joint AI platform.
You translate business needs into technical specs, design tailored architectures, and lead PoCs to validate real-world value.
You ensure smooth integration of complex workloads, from LLM deployment to AI/ML pipelines, while enabling efficient use of GPU clusters and AI toolchains.
You act as a trusted technical advisor, driving best practices in reliability, scalability, and security across the customer lifecycle.
Compensaciones / Ventajas • Consult on all technical aspects related to GPU infrastructure and platform usage • Lead onboarding and training, mentoring customer specialists on GPU clusters and AI environments • Design and implement PoCs, including environment setup, data processing pipelines,



and deployment workflows • Conduct requirement engineering, translating business needs into technical specifications • Assist customers with performance optimization, troubleshooting, fine-tuning, and validation of solutions • Act as the key technical point of contact, coordinating cross-functional teams across infrastructure, networking, automation, security, and AI services • Propose and develop automation concepts to improve services, processes, and operating models • Ensure best practices in reliability, scalability, and security are applied across the customer lifecycle • Support monitoring, observability, and capacity planning for AI workloads and GPU utilization Responsabilidades • Requisitos principales •

📌 Principal Devops Engineer (M/F/D) For Industrial Ai Cloud (Reus)
🏢 Deutsche Telekom
📍 Reus