Director of Facilities Engineering- AI Data Centers/Factories

Position Summary

The Director of Facilities Engineering is responsible for the engineering strategy, design standards, reliability, and lifecycle management of mission-critical infrastructure supporting AI and high-performance computing (HPC) data centers.

We expect the Director of Facilities Engineering to lead the engineering strategy, design, reliability, and operation of mission-critical infrastructure supporting AI data center campuses. This role oversees multidisciplinary engineering teams and ensures highly available, scalable, and energy-efficient facilities that support next-generation AI and high-performance computing (HPC) environments.

This position requires critical thinking and adaptation to a fast-paced, always-changing, and evolving AI data center space. AI Factories are a new type of data center that requires a new, flexible approach but with a conservative engineering view. We expect the ideal candidate to be open-minded and not afraid to experiment.
Role Mandate:
- Create and lead the portfolio-wide facilities engineering program for greenfield campuses, powered-shell projects, modular deployments, expansions and selected retrofit opportunities.

- Develop a repeatable campus architecture and set of design standards that can be adapted intelligently to different utility systems, climates, site constraints, deployment schedules and customer requirements.

- Serve as the senior technical owner from site screening and diligence through design, construction, commissioning, turnover and initial operating readiness.

- Build the internal engineering capability and external partner network required to move multiple projects forward in parallel without compromising reliability, safety or capital discipline.

Key Responsibilities
- Provide strategic direction and leadership for the facilities of operations of multiple AI Factories(data centers), ensuring 24/7 uptime and operational excellence for mechanical, electrical, and plumbing infrastructure.

- Develop and execute the facilities engineering strategy for AI data centers distributed across multiple campuses across the county.

- Plan and execute standardized infrastructurefor new data center buildouts, colocation expansions, and data center expansions, ensuring seamless integration of mechanical, electrical, and plumbing infrastructure.

- Build and lead electrical, mechanical, controls, and reliability engineering teams.

- Establish engineering standards, technical specifications, and design guidelines across multiple facilities to meet the constantly evolving AI data center for white space demand.

- Oversee the engineering lifecycle of critical infrastructure, including electrical distribution, UPS, generators, cooling systems, BMS, EPMS, DCIM, and fire protection systems.

- Design and optimize infrastructure for high-density GPU and liquid-cooled AI environments using the newest NVIDIA and AMD chip systems. Work with direct-to-chip cooling systems and high-density racks with up to 150 KW per rack.

- Drive reliability engineering, predictive maintenance, root cause analysis, and asset lifecycle management across a portfolio of new deployments.

- Provide technical oversight for new construction, expansion, commissioning, and modernization projects.

- Improve energy efficiency through initiatives that optimize PUE, WUE, and sustainability.

- Ensure compliance with applicable codes, standards, and engineering best practices.

- Manage engineering budgets, technical vendors, consultants, and capital improvement programs.

Technical Expertise
- Mission-critical electrical and mechanical infrastructure

- Medium-voltage power distribution, UPS, generators, and power monitoring

- Chilled water plants, liquid cooling, thermal management, and HVAC systems

- BMS, EPMS, and DCIM platforms

- Reliability-centered maintenance (RCM), FMEA, commissioning, and asset lifecycle management

- AI/HPC infrastructure and high-density comput