AI Infrastructure Architect for Hybrid Cloud & GenAI

Accenture; England; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Accenture in the United Kingdom is seeking an experienced Infrastructure Architect/Delivery Lead to design and deliver AI-ready infrastructure platforms for large enterprise clients.

You will define AI compute architectures across on-premises, colocation and cloud environments, helping clients establish secure, scalable GPU platforms that support training, fine-tuning and inference workloads.

Qualifications

• Strong client-facing consulting experience.
• Ability to engage 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 across Datacenter, Networks, Compute, Storage.
• Cloud Migrations, Operations and Lifecycle management.
• Cloud Security & Resilience (DR, HA, Backup & Recovery).
• Container Platforms such as OpenShift, EKS, AKS, GKS.
• Infrastructure Automation with Terraform, Ansible, Python.

Responsibilities

• Design, architect and lead the delivery of AI-ready infrastructure platforms for ML, GenAI and HPC workloads.
• The successful candidate will define AI compute architectures across on-prem, colocation and cloud environments, enabling secure, scalable GPU platforms for training, fine-tuning and inference.

Skills

Client-facing consulting

Stakeholder engagement

Communication skills

Leadership

Commercial awareness

Infrastructure design

Cloud migrations

Security & resilience

Container platforms

Infrastructure automation

Tools

Terraform

Ansible

Python

OpenShift

Kubernetes

Job description

Accenture in the United Kingdom is seeking an experienced Infrastructure Architect/Delivery Lead to design and deliver AI-ready infrastructure platforms for large enterprise clients.

You will define AI compute architectures across on-premises, colocation and cloud environments, helping clients establish secure, scalable GPU platforms that support training, fine-tuning and inference workloads.