Principal Consultant, AI

Computacenter

AI Principal Consultant at Computacenter designing and implementing high-performance solutions. Collaborating with business leaders and teams to architect advanced networking projects.

Posted 5/22/2026full-timeCalifornia, New York, Texas • 🇺🇸 United StatesLead💰 $175,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

CloudKubernetesMicroservices

About the role

Key responsibilities & impact

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 AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.
Your primary focus would be on understanding the AI 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.

Requirements

What you’ll need

Bachelor's degree in Information Technology, Engineering, or related field (or equivalent experience)
Strong understanding of NVIDIA technologies including GX Cloud, NVIDIA AI Enterprise AI 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.
Experience optimizing cluster-level GPU utilization, workload throughput, and job latency using Run:AI in conjunction with NVIDIA GPU platforms.
Strong routing hands-on experience including BGP, VxLAN and EVPN Cluster management technologies knowledge and BCM (Base Command Manager.)
Legally eligible to work in the United States
Experience with IT service delivery lifecycle and methodologies.
Demonstrated experience designing, deploying, or operating Run:AI-based GPU orchestration platforms in production environments.
Ability to design in-depth, complex technical solutions.
In-depth knowledge of IT Infrastructure technology and its business application.
Excellent communication and presentation skills, with the ability to present at large internal and external audiences and at board level.

Benefits

Comp & perks

Competitive compensation plans
Long-term career opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

InfiniBand networkshigh-performance computing (HPC)ethernet networking solutionshigh-performance fabric architecturesAI clustersNVIDIA technologiesKubernetes-based GPU schedulingRun:AIBGPVxLAN

Soft Skills

communication skillspresentation skillscollaborationproblem-solvingtechnical solution design

Certifications

Bachelor's degree in Information TechnologyBachelor's degree in Engineering