Cloud Infrastructure Delivery Lead

• 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-EU

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