Solution Architect (Rack Integration & DC Compute)

7+ years of experience in data center compute, converged infrastructure, systems engineering, solution architecture, rack integration, or related infrastructure roles.

Strong background in one or more AI Data Center areas including GPU/accelerated compute, server platforms, converged or hyperconverged infrastructure, rack integration, high-density compute, AI/HPC infrastructure, storage, or data center networking.

Deep understanding of enterprise and data center compute platforms, including server architecture, CPU/GPU systems, memory, storage, PCIe, NICs/DPUs, firmware, and systems management.

Experience designing or supporting integrated rack solutions including compute, network, storage, PDUs, cabling, power, cooling, and mechanical requirements.

Experience with large-scale rack build, factory integration, staging, configuration, test, QA/QC, and deployment processes is strongly preferred.

Experience with AI CSPs, hyperscalers, NCPs, HPC environments, large data center operators, or major compute OEMs is highly desirable.

Understanding of high-density power and liquid cooling requirements associated with current and next-generation AI compute platforms.

Ability to create and validate rack elevations, BOMs, build documentation, configuration standards, test plans, and implementation requirements.

Experience working with major compute and infrastructure OEMs and understanding technology roadmaps and lifecycle considerations.

Strong troubleshooting and root-cause analysis skills across integrated compute, network, storage, firmware, and physical infrastructure.

Strong customer-facing communication, technical presentation, documentation, and architecture-review skills.

Ability to work across sales, engineering, OEMs, integration operations, Professional Services, supply chain, project management, and field delivery.

NVIDIA GPU and accelerated computing platforms, including integrated AI rack architectures

Dell Technologies, HPE, Lenovo, Supermicro, or other enterprise/AI compute platforms

Converged and hyperconverged infrastructure

AI/HPC clusters and large-scale GPU deployments

High-density rack integration and factory build environments

Liquid-cooled compute and rack-level thermal infrastructure

400G/800G Ethernet and InfiniBand connectivity within AI compute environments

Enterprise and AI storage platforms

Firmware, BIOS, BMC, systems management, configuration, and validation

Burn-in, functional testing, L1/L2 validation, QA/QC, and rack acceptance testing

Automation of rack design, BOMs, configuration, testing, and deployment workflows

Multi-site deployment standards and repeatable AI infrastructure methodologies

Compute Architecture – Deep understanding of server, GPU, storage, networking, and integrated data center compute platforms.

Rack Integration – Understands how to convert a technical architecture into a repeatable physical rack build and integration process.

AI Infrastructure Knowledge – Understands the density, performance, power, cooling, connectivity, and operational requirements of AI compute environments.

Design for Scale – Creates standardized architectures and golden configurations that can be replicated across hundreds or thousands of racks.

Technical Problem Solving – Can troubleshoot complex issues across hardware, firmware, networking, storage, power, cooling, and physical integration.

Design-to-Delivery Thinking – Architects solutions with manufacturing, logistics, deployment, testing, field installation, and lifecycle support in mind.

Customer Engagement – Leads technical discovery, architecture workshops, solution reviews, and executive-level technical discussions.

Cross-Functional Leadership – Connects customer requirements with OEMs, engineering, integration centers, sourcing, Professional Services, and field delivery.

Quality, accuracy, and scalability of AI compute and rack integration designs

Speed from customer requirements to an executable rack architecture and BOM

Standardization and repeatability of rack designs and integration processes

Reduction in integration defects, field changes, rework, and deployment issues

Successful technical support of AI Data Center pursuits and customer programs

Accuracy of BOMs, rack elevations, build documentation, and configuration standards

Successful transition from solution architecture through integration and onsite deployment

Customer and OEM confidence in the technical solution

Continuous improvement and automation of rack integration methodology

The ideal candidate is a highly technical data center compute architect who understands both the logical architecture of AI infrastructure and the physical realities of building it at rack scale. They should be able to work from a customer's compute and GPU requirements down through server configuration, rack layout, networking, power, cooling, firmware, cabling, integration, testing, and deployment. A profile similar to the current role combines AI solution architecture with deep prior experience in compute, converged/hyperconverged infrastructure, engineering, and hands-on infrastructure design. The strongest candidates will be builders who can turn complex AI platform requirements into standardized, factory-integrated solutions that can be deployed rapidly and consistently at scale.

There’s so much more to enjoy about being at Computacenter than just having a rewarding career. In addition to offering competitive compensation plans and long-term career opportunities, we provide an attractive mix of benefit plans to contribute to your good health, future financial security, and peace of mind.

Computacenter is a leading independent technology partner, trusted by large corporate and public sector organizations. We help our world-renowned customers to source, transform, and manage their IT infrastructure to deliver digital transformation, enabling users and their business. We’re a public company quoted on the London FTSE 250 (CCC.L) and employ over 21,000 people worldwide. In the US, we support some of the country’s best-known businesses with regional hubs in San Francisco and Irvine, CA; Norcross, GA; Plano, TX; and New York City; and Integration Centers in Silicon Valley and Atlanta. www.computacenter.com/us