Principal - AI & HPC Data Centre Compute

In this senior leadership role, you will drive EPAM’s AI and HPC data centre strategy, guiding engagements that optimize compute across full-stack environments. You’ll tackle cost, scalability and power constraints through software and platform optimization rather than hardware purchases, delivering performance and efficiency at scale. You will lead cross-functional work with hyperscalers, neoclouds and enterprises, shaping scalable AI platforms and repeatable AI/HPC offerings. This role offers influence across strategy, partnerships and industry thought leadership in AI and HPC.

• EPAM Employee Stock Purchase Plan (ESPP)
• Private medical insurance and dental care
• Life assurance and income protection
• Pension plan
• Loans (Cyclescheme, Techscheme, season ticket)
• Learning and development opportunities

• Advise hyperscalers, neoclouds and enterprises on compute strategies including power, cooling and network design
• Optimize AI training and inference workloads across distributed clusters for cost, throughput and latency targets
• Lead HPC cluster design and orchestration using Slurm, Kubernetes and MPI
• Enhance GPU utilization by addressing bottlenecks across compute, memory and data pipelines; coordinate with energy teams on power-aware scheduling
• Architect scalable AI platforms integrating MLOps frameworks, automation tools and reusable assets
• Develop repeatable AI/HPC offerings, contribute to solution roadmaps and establish strategic partnerships with major ecosystem players
• Track industry trends in AI factories, GPU economics and liquid cooling technologies, representing EPAM at events and thought leadership forums

• 12+ years of experience in HPC, AI infrastructure, accelerated computing or distributed systems architecture
• Deep knowledge of GPU architectures, AI workloads, networking and large-scale cluster operations
• Hands-on expertise with Slurm, Kubernetes and performance optimisation across multi-node environments
• Proven ability to advise senior stakeholders and influence technical strategy at C-level
• Demonstrated experience in pre-sales solutioning and shaping complex technology engagements

• Stakeholder influence and executive communication
• Cross-functional collaboration
• Strategic thinking and client-facing leadership
• Slurm
• Kubernetes
• MPI