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Solution Architect (Rack Integration & DC Compute) (Telecommuter, US)

ComputacenterUnited States🌍 Remote
Full-time7-15
👁️ 0 views📝 0 applicationsPosted 9/4/2026Expires 10/4/2026
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Job Description

About the role The Solution Architect – Rack Integration & DC Compute, AI Data Center is a customer-facing technical role responsible for architecting and operationalizing rack-level compute infrastructure for large-scale AI data center deployments.

The role connects server, GPU, storage, networking, power, cooling, rack design, factory integration, and onsite deployment requirements into a complete, executable solution.

The ideal candidate combines deep compute and data center infrastructure expertise with hands-on knowledge of rack integration and manufacturing processes.

The role works closely with customers, Solution Specialists, OEMs, engineering, Professional Services, integration centers, supply chain, project management, and field delivery teams. What you'll be doing Lead technical discovery and solution architecture for AI compute and rack integration opportunities.

Translate customer GPU, server, storage, network, power, cooling, and deployment requirements into standardized rack-level designs. Develop and validate rack architectures, rack elevations, BOMs, component placement, power requirements, network connectivity, and integration specifications.

Architect solutions for GPU and accelerated compute platforms, high-density AI racks, traditional compute platforms, storage, and supporting infrastructure.

Define rack integration workflows including receiving, kitting, assembly, installation, cabling, configuration, firmware, burn-in, testing, QA/QC, packaging, and shipment. Partner with compute, networking, storage, power, cooling, rack, and integration OEMs to validate compatibility and technical requirements.

Support high-density and liquid-cooled rack designs, including CDU interfaces, manifolds, power distribution, weight, space, and facility dependencies. Develop repeatable rack build standards and golden configurations that can be scaled across large AI Data Center programs.

Support RFQs/RFPs, proposals, statements of work, technical presentations, cu

Required Skills

rack-level compute infrastructureAI data centerGPUserverstoragenetworkingpowercoolingrack designfactory integrationonsite deploymentrack architecturesBOMnetwork connectivityQA/QCliquid-cooled rack designshigh-density AI racksaccelerated compute platformstechnical presentationsRFQsRFPsproposalsstatements of work

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