AI Principal Consultant

Computacenter is looking for an AI Principal Consultant to join its professional services team.

We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills.

This role will be interacting with customers, partners and internal teams, to analyse, define and implement large-scale networking projects.

The scope of these efforts includes a combination of data center scale networking, system design and automation.

Annual compensation: $175K - $220K USD What you'll be doing Partner with business leaders to deliver services that support company objectives and that are consistent with Winning Together values.

Design, architect, and implement distributed InfiniBand networks for high-performance computing (HPC) and data center environments.

Providing ethernet and routing expertise to customers during project delivery to design, architect and test ethernet networking solutions Designing, implementing, and optimizing high-performance fabric architectures for our data center and infrastructure projects.

Support operational and reliability aspects of large-scale Al clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.

Your primary focus would be on understanding the Al workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.

Work on multi-functional teams to provide ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications.

Implementing tasks related to network configuration and validation for data centers.

Create methods of procedure and deployment documents.

Embrace and support Computacenter’s mission and core values.

What you have Bachelor's degree in Information Technology, Engineering, or related field (or equivalent experience) Strong understanding of NVIDIA technologies including GX Cloud, NVIDIA Al Enterprise Al Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.

Deep understanding of Kubernetes‐based GPU scheduling, GPU virtualization concepts (fractional GPUs, MIG awareness), and policy‐driven resource allocation in multi‐tenant clusters.