Head of Design – AI Datacenters

HCL Technologies Limited; Mumbai; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

HCL Technologies Limited in Mumbai is seeking a Head of Design to lead engineering and architectural design for next-generation AI datacenters, focusing on core & shell, MEP systems, and high-density cooling.

You will drive advanced cooling technologies and enable HPC deployments, collaborate with cross-functional teams, and align with client requirements to deliver scalable, reliable facilities.

Qualifications

• 15–20 years in datacenter engineering design and delivery of hyperscale projects.
• Deep technical mastery in MEP systems, core & shell specs, and high-density infrastructure design.
• Experience designing for 100 kW to 150 kW+ GPU racks and implementing advanced liquid cooling.
• Bachelor’s or Master’s in Mechanical, Electrical, or Structural Engineering; PE license or Chartered Engineer status preferred.
• Familiar with ASHRAE liquid cooling guidelines, building codes, and sustainability metrics (PUE/WUE).

Responsibilities

• Lead end-to-end design strategy for core & shell and MEP systems.
• Architect high-density liquid cooling and cooling layout from 100kW to 150kW+ per rack.
• Optimize high-voltage power distribution, UPS topology, and HVAC for AI workloads.
• Collaborate with cross-functional teams to deliver scalable AI datacenters.
• Manage vendor and partner relationships with MEP consultants and equipment vendors.

Skills

MEP systems

High-density design

Liquid cooling architectures

GPU rack design

Leadership

Education

Bachelor’s or Master’s degree in Mechanical, Electrical, or Structural Engineering

PE license or Chartered Engineer status preferred

Tools

ASHRAE liquid cooling guidelines

Building codes

Sustainability metrics (PUE/WUE)

Job description

Job Title: Head of Design – AI Datacenters

Department: AI Datacenter

Reports To: Head AI Datacenter / SVP

Position Overview

We are seeking an experienced Head of Design to lead the engineering and architectural design for next-generation AI datacenter developments. You will drive core & shell architecture, high-density Mechanical, Electrical, and Plumbing (MEP) infrastructure, and advanced cooling technologies to support high-performance computing (HPC) and hyperscale deployments.

Key Responsibilities

Design Leadership: Lead end-to-end design strategy, standards, and execution for core & shell and MEP systems for ultra-high-density hyperscale data centers.

High-Density Cooling: Architect and deploy state-of-the-art liquid cooling systems (direct-to-chip, rear door heat exchangers, and immersion cooling) for 100 kW to 150 kW+ per rack environments.

Power & MEP Optimization: Oversee high-voltage power distribution, uninterruptible power supply (UPS) topology, generator backup, and efficient HVAC systems tailored to AI/GPU workloads.

Hyperscale Execution: Collaborate with cross-functional engineering, procurement, and construction teams to ensure facilities support GPU-heavy hardware (e.g., NVIDIA H100/B200 clusters) at scale.

Core & Shell Strategy: Direct spatial layout, structural loads, floor loading capacity, and site planning to accommodate massive power density and heavy liquid cooling infrastructure.

Vendor & Partner Management: Drive technical relationships with hyperscale clients, MEP consultants, liquid cooling manufacturers, and equipment vendors.

Qualifications & Requirements

Experience: 15–20 years in datacenter engineering design, with a proven track record of delivering multiple hyperscale or large-scale datacenters.

Domain Expertise: Deep technical mastery in MEP systems, core & shell specifications, and high-density infrastructure design.

AI/GPU Readiness: Direct experience designing for high-density GPU racks (100 kW to 150 kW+ per rack) and implementing advanced liquid cooling technologies.

Education: Bachelor’s or Master’s degree in Mechanical, Electrical, or Structural Engineering (PE license or Chartered Engineer status preferred).

Skills: Expertise in ASHRAE liquid cooling guidelines, building codes, power density planning, and sustainability metrics (PUE/WUE optimization).