What success looks like in this role:
Where AI Strategy Meets Enterprise Reality
The Global AI Practice is the company's center of excellence for artificial intelligence — the team that sets the standard for how AI is built, governed, and trusted across our enterprise and with the clients we serve worldwide. We don't just talk about AI transformation. We lead it.
If you're ready to do the same, read on.
Core Knowledge
o Expertise in advanced computing archetypes (AI Factories based on NVIDIA, High Performance Compute, etc) including discrete compute, storage, network requirements
o 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
o Experience with new and emerging compute technologies (CPU, GPU, HPC, DLC, RoCE networking)
o 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
o Advanced training and modeling techniques leveraging AI (Augmented Reality, Virtual Reality, Digital Twin, etc)
o Able to industrialize these models as a services offering or for use within the company for training field engineers
o Experience with modern micro-services based operating environments and the dependencies on upper layer software defined platforms to enable advanced computing
Enablement & Evangelism
o Ability to produce reference architecture documentation and bill of materials for AI infrastructure builds
o Comfortable presenting infrastructure design options to both technical teams and executive stakeholders (and understanding the audience)
o Experience supporting pre-sales or client advisory conversations on AI infrastructure readiness
You will be successful in this role if you have:
Required Qualifications:
o BA/BS degree and 8-12 years relevant experience OR equivalent combination of education and experience. Master’s degree or Ph.D. preferred
Preferred Qualifications:
o Specific Liquid Cooling expertise (facility, closed loop, rack scale, DLC, immersion)
o 8–12 years in enterprise data center infrastructure, with at least 3–5 years focused on AI and/or HPC environments
o Hands-on experience with at least one major GPU cluster build (NVIDIA preferred) or expansion
o Experience in designing large-scale high speed networks specifically for AI/HPC
o Relevant certifications: DCDC (Data Center Design Consultant), RCDD, NVIDIA DCA, relevant vendor certs
o Experience working with colocation providers, hyperscaler cloud providers (data center focus), AI Neocloud providers or large enterprise private cloud builds
o Experience with digital twin, software simulation, AR/VR (including CMDB / ESM integration) desired
This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.
Skills Required
- BA/BS degree or relevant experience
- 8-12 years in enterprise data center infrastructure
- 3-5 years focused on AI or HPC environments
- Hands-on experience with major GPU cluster build
- Experience designing large-scale high speed networks
Unisys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
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Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
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Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.
Unisys Insights
What We Do
Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial
