AI/HPC Implementation Technical Consultant
About The Position
Lenovo is seeking an experienced Technical Consultant to join its Lenovo Infrastructure Deployment Services (LIDS) team. The role combines technical delivery leadership with bid management support, helping ensure that pre-sales commitments, commercial assumptions, delivery risks, and implementation plans are validated and transitioned into executable customer projects. The consultant will deploy, integrate, validate, and support large-scale HPC and AI infrastructure solutions, working across data center infrastructure, networking, storage, Kubernetes platforms, AI orchestration, MLOps, GPU resource management, and workload optimization. The work spans initial installation through production handover and operational readiness, including AI Factory and NeoCloud environments, liquid-cooled GPU clusters, accelerated computing environments, AI-ready data center platforms, and integrated infrastructure solutions. The role is part of a North American deployment team organized into PODs with complementary infrastructure, networking, AI platform, and deployment expertise. The team is responsible for end-to-end deployment, integration, validation, and customer handover. The consultant will primarily support projects in North America, with occasional worldwide work, and participate in weekly collaborative planning calls and meetings.
Requirements
- Strong Linux administration experience with RHEL, Rocky Linux, Ubuntu, or SLES in enterprise, HPC, and AI environments.
- Experience deploying and supporting HPC and AI clusters.
- Knowledge of NVIDIA AI platforms and architectures, including GB300 NVL72, NVLink, NVSwitch, GPU clustering, and AI Factory concepts.
- Experience with high-performance networking technologies, including InfiniBand, Ethernet, RoCEv2, Spectrum-X, and fabric management.
- Experience with Kubernetes, OpenShift, containerized workloads, and GPU orchestration platforms.
- Familiarity with HPC workload scheduling and resource management platforms such as Slurm and PBS Pro.
- Experience deploying and integrating high-performance storage solutions for HPC and AI workloads.
- Experience with cluster provisioning, system bring-up, validation, performance benchmarking, and acceptance testing.
- Knowledge of monitoring and observability tools such as Icinga, Grafana, Prometheus, Loki, and NVIDIA DCGM.
- Automation and scripting experience using Python, Bash, Ansible, and Git.
- Strong troubleshooting skills across compute, networking, storage, Kubernetes, and AI software stacks.
- Excellent customer-facing skills and experience delivering workshops, technical documentation, deployment runbooks, and knowledge transfer sessions.
- Strong customer interaction skills and the ability to make technical decisions.
Nice To Haves
- Experience with NVIDIA AI Factory deployments and enterprise AI infrastructure.
- Knowledge of GPFS, VAST, or DDN data storage platforms.
- Experience with NVIDIA Cluster Validation Suite (CVS).
- Familiarity with Kubeflow, MLFlow, JupyterHub, or similar AI/ML platforms.
- Experience with direct liquid-cooled infrastructure.
- Knowledge of AI platform technologies including Run:AI, Rafay, ClearML, or MLOps.
- NVIDIA, Kubernetes, Red Hat, or AI infrastructure certifications.
Responsibilities
- Deploy, integrate, validate, and support large-scale HPC and AI infrastructure solutions.
- Lead complex technical delivery and support bid management, validating pre-sales commitments, commercial assumptions, delivery risks, and implementation plans.
- Deliver AI Factory and NeoCloud environments, including liquid-cooled GPU clusters, accelerated compute environments, and integrated AI-ready data center platforms.
- Work with customers, partners, and project teams from initial installation through production handover and operational readiness.
- Perform cluster provisioning, system bring-up, validation, performance benchmarking, and acceptance testing.
- Troubleshoot issues across compute, networking, storage, Kubernetes, and AI software stacks.
- Collaborate with customers and multiple organizational groups and make technical decisions during projects.
- Develop training materials and knowledge base documentation, and deliver workshops, deployment runbooks, technical documentation, and knowledge transfer sessions.
- Participate in weekly collaborative planning calls and meetings.
Benefits
- A multitude of professional and personal opportunities.
- An open and stimulating environment within a forward-thinking IT company.
- Flat structures and fast decision-making processes.
- A modern and flexible way of working to combine personal and professional life.
- An international team with a high focus on diversity.
- Potential consideration for bonuses and/or commissions.
- Lenovo benefits are available as described on the company benefits website.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
