Senior AI Storage Architect – High-Performance Data Centers

Computacenter AG & Co. oHG; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Computacenter AG & Co. oHG is seeking a Solution Architect (Storage) to own the architecture of high-performance storage and data platforms for AI workloads.

You will lead discovery, design scalable file/object/block storage, and translate requirements into per-GPU capacity and bandwidth targets. This role blends technical leadership with close collaboration across compute, network, and services teams to deliver end-to-end solutions.

Qualifications

• 7+ years in enterprise storage, HPC, or related roles.
• Deep expertise in high-performance storage and AI data platforms.
• Strong knowledge of parallel file systems and scale-out storage.
• Experience translating requirements into capacity, throughput and latency.

Responsibilities

• Lead technical discovery and storage architecture for AI Data Center opportunities.
• Design high-performance storage architectures for AI training and inference.
• Architect parallel and scale-out file systems, object and block storage.
• Translate requirements into capacity, IOPS, latency, and bandwidth targets.
• Size storage platforms based on GPU cluster scale and dataset growth.
• Develop reference architectures, BOMs, sizing models and standards.
• Lead benchmarking, validation, and production readiness activities.
• Collaborate with compute, network, and services teams to optimize data paths.
• Support RFQs/RFPs, workshops, proofs of concept and architecture reviews.

Skills

Storage architecture

High-performance storage

AI data platforms

Solution architecture

Customer-facing

Performance tuning

Tools

VAST Data

WEKA

DDN

Pure Storage

Dell

NetApp

Lustre/GPFS

Job description

Computacenter AG & Co. oHG is seeking a Solution Architect (Storage) to own the architecture of high-performance storage and data platforms for AI workloads.

You will lead discovery, design scalable file/object/block storage, and translate requirements into per-GPU capacity and bandwidth targets. This role blends technical leadership with close collaboration across compute, network, and services teams to deliver end-to-end solutions.