> Markdown version of [/jobs/ext/3928941-data-center-solution-architect](https://www.wearedevelopers.com/jobs/ext/3928941-data-center-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Center Solution Architect - **Company:** GE Vernova - **Location:** Olympia, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $147,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Centers, Uptime, Model Inference - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467418279&tx=FK906PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelors in Electrical Engineering or related field from an accredited college or university * Overall 10+ years of relevant data center power train architect experience at hyperscaler, colocation, or top-tier OEM supplier with extensive hyperscale experience * Willingness to travel up to 30% of the time including local and international. * Must have personally designed, peer-reviewed, and/or operated/maintained the electrical systems for at least one hyperscale AI training (>=500MW) campus * Must have experience with: * AC/DC (esp 800VDC) power train and distribution architecture * MV/LV switchgear and distribution architectures and equipment * MV/LV UPS, solid-state transformers * Battery Energy Storage Systems * Source/load Power Quality issues and ways to resolve * System TCO / design tradeoffs * Aware of relevant Open Compute Project, NVidia/AMD, IEEE, NEMA, UL/IEC, ASHRAE, Uptime/TIA standards, protocols, and practices Preferred Qualifications: * Selected candidate preferred to be based in a major US Data Center markets: Pacific Time Zone (esp. SF Bay Area, Seattle) * Real-world Uptime / Reliability standards and compliant implementations * Grid and islanded/microgrid architecture This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. ## Description * Serve as a "grid-to-GPU" power train technical architect for hyperscalers (AI training, AI inference, general purpose cloud), colocation (AI-centric and general tenancy models). Should be very knowledgeable about industry migration to 800V DC architectures. * Serve as GEV's primary customer-facing technical authority for all AI training campus and hyperscale DC opportunities. Must have good customer presence and confident in solution architecture. * Develop and own GEV "Campus Power Reference Architectures" - experience in designing and documenting single-line diagrams and power system designs for each of the data center archetypes using GEV products * Lead technical discovery sessions with hyperscaler DC engineering teams - documenting power requirements, site constraints, and competitive install base * Author technical proposals and power system studies (load flow, fault analysis, arc-flash) in support of RFP responses * Collaborate with NPI/PM team to validate new product designs against real customer power systems (system design, sizing, and integration) * Conduct internal technical training sessions for COE BD team and BU sales (minimum quarterly) on Data Center power architecture * Represent and drive standards for GEV in OCP, Nvidia, other relevant organizations (joint role with Standards Liaison) * Build and maintain a library of GEV data center customer case studies and reference designs for use in proposals and marketing. Help generate detailed competitive analysis. * Serve as the center of competency for data center infrastructure design and operations/maintenance (full lifecycle perspective and knowledge). Disseminate knowledge withing GEV technical community * Be able to guide roadmap, optimizations, TCO planning and analysis * Must be able to travel, particularly within North America and EU, plus other locations * Should have experience in infrastructure facility monitoring, telemetry, AI training and inference workload profiles * Exposure in designing facility cooling and liquid cooling at the rack a plus