End to End Architect

About WWT

World Wide Technology (WWT) is a worldwide technology solutions company with annual revenue above US$20 billion, a team of more than 10,000 people, and a presence across the Americas, EMEA, and APAC. It brings together strategy, delivery, and partnerships to help major enterprises adopt high-impact technologies across cloud, security, AI, and advanced infrastructure.

WWT’s AI Infrastructure Practice focuses on designing, implementing, and operating the core physical and logical layers that enable enterprise AI. This includes GPU compute environments, high-speed networking, storage design, power and cooling systems, and the platforms that connect everything. As an eleven-time NVIDIA Partner of the Year for AI and Deep Learning, WWT is recognized for deep enterprise-scale AI infrastructure expertise.

The Opportunity

This role is for the architect who closes the gaps where AI infrastructure projects commonly break down: compute meeting network, storage meeting platform, and facilities meeting hardware. You will act as the integrator who ensures the full stack works together.

As an End-to-End AI Infrastructure Architect, you will unify compute, networking, storage, facilities, platform, and security into practical architectures that can support massive GPU-based model training. You will serve as the named Design Authority on WWT’s most complex AI infrastructure programmes, with responsibility for the architecture from start to finish.

What You’ll Do

• Bring compute, networking, storage, facilities, and platform layers together into a single AI infrastructure design.
• Act as the designated Design Authority for large AI infrastructure programmes and safeguard architectural quality throughout delivery.
• Translate AI infrastructure design choices into business outcomes such as training-run cost, inference speed, and overall utilisation efficiency.
• Assess and recommend vendor-neutral component options across GPU compute, networking, storage, and platform layers.
• Create reference designs for common AI infrastructure use cases, including training clusters, inference farms, and hybrid training/inference environments.
• Work with specialist teams in networking, storage, MEP, and platform to resolve design conflicts across domains.
• Run architecture reviews and risk assessments at key programme milestones.
• Present architectural decisions, options, and trade-offs to senior client stakeholders at CTO and VP level.

What We’re Looking For

We are seeking someone with deep infrastructure architecture experience, strong system-level judgment, and the ability to steer complex client-facing programmes.

Must-Have Experience

• At least 15 years of experience in infrastructure and solution architecture across compute, networking, and storage.
• Between 3 and 5+ years of experience designing AI/ML or HPC infrastructure platforms at scale.
• Hands-on familiarity with architecture frameworks such as TOGAF, SABSA, or an equivalent approach.
• Ability to evaluate vendors in a neutral way across GPU compute, networking, storage, and platform layers.
• Experience acting as a client-facing design authority on large-scale programmes.
• Strong systems thinking with the ability to understand how individual components affect end-to-end performance.

Preferred Experience

• Exposure to NVIDIA DGX/HGX SuperPOD reference architectures.
• Understanding of AI platform software such as Kubernetes, Slurm, and Base Command Manager.
• Knowledge of total cost of ownership modelling for AI infrastructure, including build, colo, and cloud comparisons.
• Experience with air-gapped or sovereign AI infrastructure deployments.

Why WWT

• Be part of a global technology leader with more than US$20 billion in revenue and an AI practice that operates with a startup-like pace.
• Work on advanced AI infrastructure deployments in EMEA, including GPU superclusters, liquid cooling, and InfiniBand fabrics.
• Gain direct exposure to strategic partners such as NVIDIA, HPE, Dell, Cisco, and other leading AI infrastructure vendors.
• Contribute to enterprise-scale programmes for Fortune 500 and regulated-industry clients.
• Enjoy remote-first flexibility, with travel to client sites and data centres as needed.
• Receive competitive pay, benefits, and professional development opportunities.

Additional Information

This is a full-time remote role based in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates.

No stipend or salary amount was provided in the source.

No vacancy count, start date, or application deadline was stated.

The source did not mention eligibility restrictions or a specific education requirement.

The original posting ended with “NA”.