Infrastructure Deployment Services Technical Consultant

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Join Lenovo as a Technical Consultant within our Lenovo Infrastructure Deployment Services (LIDS) team and play a key role in delivering large-scale AI and HPC infrastructure solutions for some of the world's leading organizations. You will support complex deployments including liquid-cooled GPU clusters, accelerated computing environments, and AI-ready data center platforms, working closely with customers and global project teams across the EMEA region and beyond.

This role reports to the Global HPC Delivery Leader.

• Deploy, configure, and support large-scale High Performance Computing (HPC) and AI infrastructure solutions for enterprise customers.
• Work across the full technology stack, including data centre infrastructure, networking, storage systems, Kubernetes platforms, and GPU environments.
• Lead the integration, validation, testing, and troubleshooting of complex HPC and AI solutions to ensure successful deployments.
• Implement and optimize AI orchestration, MLOps platforms, GPU resource management,and AI/ML workloads in production environments.
• Collaborate closely with customers, technology partners, and internal project teams throughout the entire project lifecycle, from installation to production handover.
• Provide technical expertise and make informed decisions to resolve deployment challenges and ensure project success.
• Support customers during operational readiness activities, ensuring solutions are stable, scalable, and ready for day-to-day use.
• Create technical documentation, training materials, and knowledge base content while continuously developing expertise in emerging HPC and AI technologies.

• Strong experience administering Linux environments (RHEL, Rocky Linux, Ubuntu, SLES) and supporting enterprise-scale HPC and AI infrastructure.
• Proven background in deploying, integrating, and supporting HPC and AI clusters, from installation through production readiness.
• Deep understanding of NVIDIA AI platforms and GPU architectures, including GB300 NVL
  72, NVLink, NVSwitch, GPU clustering, AI Factory concepts, and GPU resource management.
• Hands-on experience with high-performance networking technologies, including Infini Band, Ethernet, RoCEv2, Spectrum-X, and fabric management.
• Solid expertise with Kubernetes, Open Shift, containerized workloads, GPU orchestration platforms, and AI/ML technologies such as Kubeflow, MLflow, Jupyter Hub, Run:
  
  AI, Rafay, ClearML, and MLOps solutions.
• Experience with HPC workload scheduling and resource management tools such as Slurm and PBS Pro, as well as deploying and integrating high-performance storage platforms including GPFS, VAST…