Cloud Infrastructure Delivery Lead (AI)

Location: London, United Kingdom, with expected travel

Salary: Competitive, plus benefits.

Company

hirify.global is a global professional services company delivering consulting, technology, operations, and digital transformation services to enterprise, government, and other large organizations.

What you will do

• Design, architect, and lead delivery of AI-ready infrastructure platforms for large-scale machine learning, generative AI, agentic AI, and high-performance computing workloads.
• Define AI compute architectures across on-premises, colocation, and cloud environments.
• Help enterprise clients establish secure, scalable, and cost-efficient GPU platforms for training, fine-tuning, and inference.
• Lead high-performing consulting, delivery management, project execution, architecture, and engineering teams across the full lifecycle of hybrid cloud infrastructure transformations.
• Partner with clients to plan, analyze, design, test, and deploy enterprise-scale end-to-end hybrid cloud solutions.

Requirements

• Strong client-facing consulting experience and the 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 areas including data centers, networks, compute, storage, cloud and infrastructure migrations, operations, and lifecycle management.
• Experience with cloud services such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• Experience with cloud and infrastructure security and resilience, including disaster recovery, high availability, and backup and recovery.
• Experience with virtualization platforms such as VMware, Hyper-V, or Nutanix, container platforms such as OpenShift, EKS, AKS, or GKS, and infrastructure automation using Terraform, Ansible, or Python.
• Demonstrable experience with GPU-based infrastructure design, the NVIDIA AI ecosystem, CUDA and GPU architectures, AI training environments, AI inference platforms, HPC infrastructure, AI workload scheduling, and ML platform architectures.

Culture & Benefits

• Full-time employment with competitive salary and benefits.
• Work within a global professional services organization serving clients in more than 120 countries.
• Equal employment opportunity and commitment to a diverse, inclusive workplace.