Principal AI Infrastructure Readiness Architect

World Wide Technology

Harrow

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

World Wide Technology is seeking a Principal AI Infrastructure Readiness Architect to lead readiness assessments for high-density AI deployments across EU, UK, and ME regions. You will evaluate data center capacity, cooling, and modular designs while coordinating with OEMs and partners to ensure scalable, compliant infrastructure ready for AI workloads.

The role blends engineering depth with strategic influence, guiding customers from concept through handoff and contributing to governance and

Qualifications

  • 10+ years in data center engineering, infrastructure architecture, or facility planning roles.
  • Experience with data center buildouts or retrofits, ideally AI infrastructure or modular designs.
  • Strong knowledge of MEP systems, utility coordination, and construction permitting across regions.
  • Deep understanding of power delivery and high-density cooling.

Responsibilities

  • Evaluate data center readiness for high-density AI deployments across global regions.
  • Lead greenfield/brownfield assessments and define build vs retrofit strategies.
  • Collaborate with OEMs, owners, and partners to ensure designs meet AI workload demands and site constraints.
  • Review data center designs focusing on MEP and construction permitting requirements.
  • Shape modular data center designs and BOM templates for readiness deployments.
  • Develop reference architectures and playbooks for site readiness and modular deployments.
  • Conduct site audits to assess infrastructure capability, cost, and timelines.
  • Stay updated on international building codes and EU/UK regulations.

Skills

Data center engineering
Infrastructure architecture
Facility planning
Power delivery
Cooling systems
Field leadership
Client engagement
Modular data center design
Regulatory compliance
Vendor coordination

Tools

Visio
CAD
Digital Twins
BOM estimation

Job description

Job Description: Principal AI Infrastructure Readiness Architect, Pre-Sales

Location: UK/Europe - Travel up to 50% across EU, and UK for technical design workshops, and on-site infrastructure assessments.

About The Role

As 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 Responsibilities
  • Evaluate 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 Have
  • 10+ 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 Matters

Every AI win starts with a place to run it. This role ensures that place is real- and ready.

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