AI Infrastructure Engineer - Data Center Innovation

and environmental performance.

About Our Company:

Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. Our platform gives customers access to 45+ digital edge and Scalelogix℠ hyperscale edge data centers in 13 markets across the United States and Canada along with a carrier-dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps and seven Internet exchanges. We provide our nearly 2,000 customers with direct access to our local operations teams, resulting in strong partnerships enabled by exceptional operational support and unparalleled customer service.

Backed by one of the largest North American infrastructure funds, Cologix's experienced leadership team, certified staff and commitment to ESG initiatives help form a culture that values our people, our environment and our clients.

About the Position:

The AI Infrastructure Engineer - Emerging Technologies will support the Office of the VP of Technology Engineering & Innovation in evaluating, designing, and developing next-generation AI-ready data center infrastructure strategies.

This role serves as a bridge between emerging AI technologies and practical implementation across data center development, engineering, construction, operations, and energy infrastructure planning.

The position will focus on assessing how rapidly evolving AI compute architectures, high-density rack deployments, advanced cooling systems, and emerging power technologies will impact future data center design standards, development strategies, construction methodologies, and operational models.

The ideal candidate combines expertise in AI infrastructure, power systems, cooling technologies, and emerging compute platforms with the ability to translate industry trends into actionable engineering and infrastructure strategies for future AI-enabled data center environments.

This role is ideal for someone who is highly analytical, technically curious, and capable of bridging emerging AI compute trends with real-world infrastructure strategy and execution. This individual should be comfortable operating across engineering, operations, construction, energy strategy, and innovation functions while helping shape the future direction of AI-enabled data center development.

This role will help evaluate and guide the following areas:

• Future AI rack density and power consumption trends
• Impacts of next-generation GPU and AI chip architectures
• Optical networking and switching implications on infrastructure design
• AI workload impacts on utility infrastructure and power quality
• Evolution of liquid cooling and high-density thermal management
• Grid-parallel and microgrid strategies for AI campuses
• Future AI-ready development and construction standards
• Long-term AI infrastructure innovation roadmaps
• Vendor technology evaluation and infrastructure modernization strategies

• Support the VP of Technology Engineering & Innovation in evaluating emerging AI infrastructure technologies and future-ready data center strategies
• Analyze AI workload characteristics including:
• Training vs. inference workloads
• GPU utilization patterns
• Dynamic workload fluctuations
• Rack-level power variability
• Networking and latency requirements
• Assess implications of AI workload behavior on infrastructure resiliency, scalability, efficiency, and operational design
• Develop technical recommendations and infrastructure strategies supporting future AI deployments

• Analyze current and future AI compute platforms including NVIDIA GPU architectures, ARM-based platforms, custom AI accelerators and ASICs, optical networking and switching technologies, and emerging hyperscaler-designed AI chips
• Evaluate implications of evolving chip architectures on rack density, power consumption, cooling requirements, electrical distribution, mechanical infrastructure, space planning, and future development standards
• Model current and future AI rack power density trends including existing high-density deployments (50-120 kW), near-term AI deployments (150-300+ kW), and future…