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Senior service delivery manager

Pubblicato il 25-08-2026 - AI4I Foundation in Umbria

Senior Service Delivery Manager / HPC–AI Application Specialist the Italian Institute of Artificial Intelligence (AI4 I) is seeking a senior technical professional to act as the technical lead and service delivery manager for the Peano HPC/AI infrastructure. This position requires deep technical understanding across HPC, AI, cloud, storage, and networking systems, combined with operational leadership in supporting AI workloads and applications. You will oversee the operational lifecycle of applications running on Peano, bridging engineering teams, deployment units, and end users to ensure reliable, usable, and integrated services. This is a highly execution-focused senior role combining technical expertise, service delivery, and operational coordination across multiple layers of the AI/HPC stack. Location: AI4 I, OGR – Turin, ItalyHybrid work: Flexible arrangements may be negotiatedPosition status: Open until filled; multiple candidates may be hired You will work closely with:



Engineering and platform teams maintaining the infrastructure Deployment teams delivering AI solutions to internal and external stakeholders Data scientists and developers running workloads on Peano External partners using AI4 I services Key Responsibilities Act as technical owner of the Peano platform, covering HPC/AI, cloud, storage, and basic networking Oversee the operational lifecycle of AI and HPC applications, ensuring high service reliability Coordinate onboarding of new services and applications for internal and external users Monitor platform health and coordinate incident detection, resolution, and escalation Manage service documentation, operational procedures, and user guidance Support users in running workloads efficiently, addressing technical issues proactively Define service levels, operational best practices, and continuous improvement initiatives Facilitate communication between engineering teams, deployment units, and users Contribute to platform architectural decisions, ro

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