Infra Transformation Manager

Overview

In this role, you lead the delivery of AI-ready infrastructure for large enterprises, guiding hybrid cloud and on-prem systems to support ML, GenAI, and HPC workloads. You will work with CIO/CTO and AI leadership to shape secure, scalable GPU platforms and AI compute architectures across multiple environments. You manage cross-functional delivery teams from consulting to implementation, ensuring end-to-end execution of enterprise-scale AI infrastructure programs. This is a chance to influence how organizations adopt AI-ready infrastructure at scale, within Accenture’s Digital Core Reinvention practice.

Pay / Benefits

• Competitive salary
• Benefits package

Responsibilities

• Design and lead delivery of AI-ready infrastructure platforms for ML, GenAI, and HPC workloads
• Define AI compute architectures across on-prem, colocation, and cloud environments
• Develop secure, scalable, and cost-efficient GPU platforms to support training, fine-tuning, and inference
• Coordinate cross-functional teams across consulting, delivery management, and engineering to plan, analyze, design, test, and deploy large-scale transformations

Key requirements

• Strong client-facing consulting experience
• Ability to engage CIO/CTO and AI leadership teams
• Experience leading distributed architecture and engineering teams
• Commercial awareness and business case development capability
• Infrastructure design, build, and management experience across datacenter, networks, compute, storage; cloud migrations and lifecycle management
• Experience with cloud services (AWS, Azure, GCP) and security/resilience (DR, HA, Backup & Recovery)
• Experience with virtualization (VMware, Hyper-V, Nutanix) and container platforms (OpenShift, EKS, AKS, GKS)
• Infrastructure automation (Terraform, Ansible, Python)
• Demonstrable GPU-based infrastructure design, NVIDIA AI ecosystem, CUDA, AI training/inference environments
• HPC infrastructure and AI workload scheduling

• Client-facing communication
• Leadership and team management
• Commercial acumen
• GPU-based infrastructure design
• NVIDIA AI ecosystem
• CUDA and GPU architectures

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