Principal AI Infrastructure Architect
19 hours ago
Job Description: Principal AI Infrastructure Readiness Architect, Pre-SalesLocation: UK/ME – Travel up to 50% across EU, UK, and Middle East for technical design workshops, and on-site infrastructure assessments.About the RoleAs enterprises race to deploy AI at scale, infrastructure bottlenecks often appear well before a single server ships. This role sits at the frontlines—assessing and shaping the physical environments that must support high-density AI workloads.As a Principal AI Infrastructure Readiness Architect, you’ll act as a domain expert across power, cooling, rack layout, MEP systems, and construction feasibility. You’ll lead readiness assessments across brownfield sites and greenfield builds—often influencing some of the largest capital decisions our customers will make.Operating across the EU, UK, and Middle East, you’ll work with global service providers, OEMs (like NVIDIA and Dell), and construction partners to validate whether facilities can support the scale, density, and uptime that AI demands. You’ll also contribute to PE/VC board materials and strategy decks, helping customers secure funding and align multi-year roadmaps.This is a hands-on, field-facing role within a worldclass organization, one that blends engineering depth with the ability to shape strategic outcomes. Your input will shape reference architectures, modular design strategies, and global facility planning guidance . You’re not just checking boxes—you’re making sure the foundation is real, stable, and AI-ready.Key ResponsibilitiesEvaluate data center readiness for high-density AI deployments, including power capacity, cooling strategy, physical layout, and facility compliance.Lead greenfield and brownfield technical assessments to determine “build vs. retrofit” strategy and recommend best-fit design approaches.Collaborate with OEMs, facility owners, and build partners to ensure designs align with AI workload demands, construction feasibility, and site limitations.Guide and review data center designs with attention to MEP (Mechanical, Electrical, Plumbing) and construction permitting requirements across global regions.Shape and validate modular data center designs and pod configurations that support scalable AI growth.Develop and maintain reference architectures, playbooks, and BOM templates for site readiness and modular deployments.Conduct site audits and “dirt to doorknob” readiness reviews to determine infrastructure capability, cost implications, and project timeline risk.Stay current on international building codes, energy efficiency mandates, and data center compliance requirements (especially in EU/UK/ME).Contribute to Statements of Work, pre-sales proposals, and internal enablement on infrastructure design best practices.You Should Have10+ years in data center engineering, infrastructure architecture, or technical facility planning roles.Proven experience with data center buildouts or retrofits, ideally involving AI infrastructure, HPC, or modular designs.Strong working knowledge of MEP systems, utility coordination, and regional construction permitting.Deep understanding of power delivery, cooling systems (liquid, air), rack layouts, and high-density compute environments.Experience with AI infrastructure (e.g., NVIDIA H100/H200, AMD Instinct, DGX pods) or equivalent.Familiarity with building codes and data center regulations across global regions (e.g., EU sustainability directives, Middle East permitting cycles).Experience collaborating with construction partners, colocation providers, or modular DC vendors (e.g., Vertiv, Schneider, Compass).Ability to lead “dirt to doorknob” infrastructure evaluations, guiding customers from concept through handoff.Confidence in the field: on-site, with customers, facility engineers, or CxOs—you can guide the room.Familiarity with site audit tooling, Digital Twins, Visio/CAD, and BOM estimation is a plus.Why This Role MattersEvery AI win starts with a place to run it. This role ensures that place is real—and ready.WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1-800-432-7008 and ask for Human Resources. #J-18808-Ljbffr
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Principal AI Infrastructure Architect
2 weeks ago
London, United Kingdom World Wide Technology Full timeJob DescriptionJob Description: Principal AI Infrastructure Readiness Architect, Pre-SalesLocation: UK/ME - Travel up to 50% across EU, UK, and Middle East for technical design workshops, and on-site infrastructure assessments.About The RoleAs enterprises race to deploy AI at scale, infrastructure bottlenecks often appear well before a single server ships....
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Senior AI Infrastructure Readiness Architect
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City Of London, United Kingdom World Wide Technology Full timeA leading technology firm is looking for a Principal AI Infrastructure Readiness Architect to evaluate and shape physical environments for high-density AI workloads. The role involves assessing data center readiness, leading technical assessments, and collaborating with OEMs and partners. Candidates should have over 10 years in data center engineering and...
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London Area, United Kingdom World Wide Technology Full time £80,000 - £120,000 per yearJob Description: Principal AI Infrastructure Readiness Architect, Pre-SalesLocation: UK/ME - Travel up to 50% across EU, UK, and Middle East for technical design workshops, and on-site infrastructure assessments.About The RoleAs enterprises race to deploy AI at scale, infrastructure bottlenecks often appear well before a single server ships. This role sits...
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