At a Glance
- Tasks: Lead assessments for AI infrastructure, ensuring readiness for high-density workloads.
- Company: Join a world-class tech organisation shaping the future of AI infrastructure.
- Benefits: Competitive salary, travel opportunities, and a chance to work with top industry partners.
- Other info: Dynamic role with global travel and excellent career growth potential.
- Why this job: Make a real impact in AI by ensuring the infrastructure is ready for innovation.
- Qualifications: 10+ years in data centre engineering and strong knowledge of MEP systems.
The predicted salary is between 72000 - 108000 £ per year.
Job Description: Principal AI Infrastructure Readiness Architect, Pre-Sales
Location: UK/ME – Travel up to 50% across EU, UK, and Middle East 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.
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.
Principal AI Infrastructure Architect in City of London employer: World Wide Technology
World Wide Technology is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Principal AI Infrastructure Architect, you will benefit from extensive travel opportunities across the EU, UK, and Middle East, while engaging with leading global service providers and construction partners. The company prioritises employee growth through hands-on experience in cutting-edge AI infrastructure projects, ensuring that your contributions directly influence strategic outcomes in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Infrastructure Architect in City of London
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups to connect with professionals in the AI infrastructure space. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your past projects, especially those related to data centre engineering and AI infrastructure. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of MEP systems, power delivery, and cooling strategies. Be ready to discuss how you've tackled similar challenges in previous roles—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Principal AI Infrastructure Architect in City of London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data centre engineering and AI infrastructure. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Expertise:This role is all about being a domain expert, so be sure to include specific examples of your work with power, cooling, and MEP systems. We love seeing candidates who can demonstrate their hands-on experience in high-density environments.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for this role!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at World Wide Technology
✨Know Your Infrastructure Inside Out
Make sure you have a solid grasp of data centre engineering and AI infrastructure specifics. Brush up on power delivery, cooling systems, and MEP requirements. Being able to discuss these topics confidently will show your expertise and readiness for the role.
✨Prepare for Real-World Scenarios
Expect to be asked about past experiences with greenfield and brownfield assessments. Have specific examples ready that highlight your decision-making process and how you approached challenges in previous projects. This will demonstrate your hands-on experience and problem-solving skills.
✨Familiarise Yourself with Key Players
Research the major OEMs and construction partners relevant to the role, like NVIDIA and Dell. Understanding their products and how they fit into AI infrastructure will help you engage in meaningful discussions during the interview.
✨Showcase Your Collaborative Spirit
This role involves working closely with various stakeholders. Be prepared to discuss how you've successfully collaborated with facility owners, construction partners, and other teams in the past. Highlighting your teamwork skills will show that you're not just a technical expert but also a great communicator.