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