AI Infrastructure Architect

Accenture UK & Ireland; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Accenture UK & Ireland is seeking an AI Infrastructure Delivery Lead in London (with travel). You will design and deliver AI-ready infrastructure to support ML, GenAI and HPC workloads across on‑prem, colocation and cloud environments.

Lead high-performing, cross-disciplinary teams in architecture, delivery management and engineering, coordinating with CIO/CTO and AI leadership to shape secure, scalable, and cost-efficient GPU platforms for training and inference.

Qualifications

• Experience in AI-ready infrastructure design and delivery.
• Strong client-facing consulting background with CIO/CTO exposure.
• Ability to lead distributed architecture and engineering teams.

Responsibilities

• Design, architect and lead delivery of AI-ready infra for ML/GenAI/HPC workloads.
• Define AI compute architectures across on‑prem, colocation and cloud.
• Guide secure, scalable GPU platforms for training, fine-tuning and inference.

Skills

Client-facing consulting

Executive engagement

Leadership of dispersed teams

Business case development

Infrastructure design & delivery

GPU/AI infrastructure design

Cloud and on-prem architecture

Security & resilience planning

Tools

Terraform

Ansible

Python

VMware

Hyper‑V

Nutanix

OpenShift

EKS

AKS

GKE

Job description

AI Infrastructure Delivery Lead

Location: London (with expected travel)

Salary: Competitive, plus benefits.

In this role you will:

Accenture’s Infrastructure Architecture & Engineering practice, within our Digital Core Reinvention group, is focused on providing best in class hybrid cloud infrastructure for large enterprise clients. Our team provides full lifecycle cloud and infrastructure services from consulting on strategy to leading large technology implementations.

Accenture’s Infrastructure Delivery Leads, manage high performing teams across consulting, delivery management, project execution, and technical expertise to partner with our clients to plan, analyse, design, test, and deploy enterprise scale end-to-end hybrid cloud transformation solutions.

Responsibilities:

• Design, architect and lead the delivery of AI-ready infrastructure platforms that enable large-scale machine learning (ML), generative AI (GenAI), agentic AI and high-performance computing (HPC) workloads.
• The successful candidate will be responsible for defining AI compute architectures across on-premises, colocation and cloud environments, helping clients establish secure, scalable and cost-efficient GPU platforms that support training, fine-tuning and inference workloads.

Job Qualifications

• Strong client-facing consulting experience.
• Ability to engage effectively with CIO, CTO and AI leadership teams.
• Excellent written and verbal communication skills.
• Experience leading distributed architecture and engineering teams.
• Commercial awareness and business case development capability.
• Infrastructure design, build, and management experience in some of the following areas:

Infrastructure design, build, and management experience in some of the following areas:

• Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage)
• Cloud and Infrastructure Migrations, Operations and Lifecycle management
• Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)
• Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery)
• Virtualization Platforms (e.g., VMware, Hyper‑V, Nutanix)
• Container Platforms (e.g., Openshift, EKS, AKS, GKS)
• Infrastructure Automation (e.g., Terraform, Ansible, Python)

Demonstrable experience with:

• GPU-based infrastructure design
• NVIDIA AI ecosystem
• CUDA and GPU architectures
• AI training environments
• AI inference platforms
• HPC infrastructure
• AI workload scheduling
• ML platform architectures