Principal Technologist, Advanced Infrastructure

Unisys

17h

About The Position

The Global AI Practice at Unisys is the company's center of excellence for artificial intelligence, responsible for setting the standard for how AI is built, governed, and trusted across the enterprise and with clients worldwide. This role is for a Principal Technologist in Advanced Infrastructure, focusing on leading AI transformation by applying expertise in advanced computing archetypes, direct liquid cooling, high-speed storage, and modern micro-services based operating environments to industrialize AI models and support client advisory conversations.

Requirements

• BA/BS degree and/or relevant experience
• 8–12 years in enterprise data center infrastructure, with at least 3–5 years focused on AI and/or HPC environments
• Hands-on experience with at least one major GPU cluster build (NVIDIA preferred) or expansion
• Experience in designing large-scale high speed networks specifically for AI/HPC
• Experience working with colocation providers, hyperscaler cloud providers (data center focus), AI Neocloud providers or large enterprise private cloud builds
• Applicant should be eligible for any required authorizations from the U.S. Government due to potential access to export-controlled commodities and technology

Nice To Haves

• Master’s degree or Ph.D. preferred
• Relevant certifications: DCDC (Data Center Design Consultant), RCDD, NVIDIA DCA, relevant vendor certs
• Experience with digital twin, software simulation, AR/VR (including CMDB / ESM integration) desired

Responsibilities

• Expertise in advanced computing archetypes (AI Factories based on NVIDIA, High Performance Compute, etc) including discrete compute, storage, network requirements
• Expertise in direct liquid cooling (DLC) — cold plates, rear-door heat exchangers, immersion cooling — and integration with chilled water/cooling tower infrastructure per ASHRAE/OCP specs
• Expertise in high-speed storage designed for extreme workloads and scalability, including S3-compatible object storage, parallel filesystems; ability to design hot/warm/cold AI and HPC pipeline storage tiers
• Advanced training and modeling techniques leveraging AI (Augmented Reality, Virtual Reality, Digital Twin, etc)
• Able to industrialize these models as a services offering or for use within the company for training field engineers
• Experience with modern micro-services based operating environments and the dependencies on upper layer software defined platforms to enable advanced computing
• Ability to produce reference architecture documentation and bill of materials for AI infrastructure builds
• Comfortable presenting infrastructure design options to both technical teams and executive stakeholders (and understanding the audience)
• Experience supporting pre-sales or client advisory conversations on AI infrastructure readiness

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees