More jobs:
Cloud Infrastructure Delivery Lead
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-30
Listing for:
Accenture
Full Time
position Listed on 2026-10-30
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Project Manager, IT Infrastructure
Job Description & How to Apply Below
Location:
London (with expected travel)
Salary:
Competitive, plus 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.#LI-EUJob 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 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 ecosystemCUDA and GPU architectures AI training environments AI inference platformsHPC infrastructure AI workload scheduling ML platform architectures
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