Domain Architect - AI Compute

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms., AI Factory Overview WWT’s AI Factory practice designs, builds, and delivers purpose-built AI infrastructure environments that enable organizations to deploy, scale, and operationalize advanced AI workloads. By integrating compute, networking, storage, software, and operational expertise into a validated reference architecture, the AI Factory team helps customers accelerate AI adoption while reducing deployment risk and complexity.

As Domain Architect - AI Compute, you will serve as the technical authority for the design, deployment, and lifecycle management of high-performance AI compute infrastructure within WWT’s AI Factory practice. Working closely with networking, storage, and software specialists, you will define and deliver scalable GPU-based platforms that form the foundation of modern AI factories, ensuring customers receive reliable, automated, and production-ready environments.

You will bridge architecture and execution, providing deep expertise across NVIDIA and partner compute platforms while guiding customers through both implementation and operational readiness. As a trusted advisor and hands-on technical leader, you will help shape AI Factory solutions, support strategic client engagements, and establish best practices that drive successful AI infrastructure outcomes.

Your time will be split roughly 60/40 between delivering complex AI infrastructure (60%) and providing pre-sales subject matter expertise (40%). You will lead the physical provisioning of NVIDIA DGX SuperPOD, NVIDIA DGX BasePOD, and Cisco AI POD environments, ensuring clients inherit platforms that are genuinely ready for day-2 operations, while helping the sales team scope and cost future deployments.

Key Responsibilities

Delivery and implementation

Bare-metal build and provisioning

• Lead the physical provisioning of GPU platforms and clusters, including NVIDIA GB200/GB300 NVL72 rack-scale systems, NVIDIA DGX SuperPOD and DGX BasePOD reference architectures, HGX- and MGX-based systems, and Cisco AI PODs.

• Use NVIDIA Base Command Manager (BCM) for cluster provisioning, diskless boot, image management, and firmware lifecycle management.

• Harden and baseline the host operating system across the fleet.

• Establish cluster monitoring and lifecycle management with NVIDIA Mission Control.

• Build and execute zero-touch provisioning (ZTP) workflows that turn bare-metal hardware into production-ready nodes.

Scheduler and workload configuration

• Define and enforce fair-share policies, fractional GPU allocation using Multi-Instance GPU (MIG), and preemption logic for multi-tenant environments.

• Ensure orchestration layers respect hardware topology, including NUMA affinity and PCIe topology, to protect performance.

• Implement and tune advanced schedulers: Slurm on bare metal, and NVIDIA Run:ai, Kueue, or Volcano on Kubernetes.

Orchestration and day-2 operations

• Deploy and configure multi-cluster management and observability platforms such as Rafay.

• Implement high-fidelity telemetry using NVIDIA Data Center GPU Manager (DCGM) to monitor GPU health, thermal throttling, and Xid error rates.

• Lead the transition to day-2 operations, ensuring the environment is fully integrated with the client’s identity providers and storage backends before handoff.

Performance engineering

• Conduct acceptance and validation testing using NCCL tests and HPL to verify cluster performance against expected baselines.

• Perform kernel and OS-level tuning (hugepages, sysctl, and driver parameters) to optimize for high-bandwidth InfiniBand and RoCEv2 fabrics.

Pre-sales SME and consulting

Technical scoping and estimation

• Support the sales team by validating customer technical requirements and producing accurate level-of-effort (LOE) estimates for statements of work.

• Define the standard operating environment (SOE) used in proposals to ensure repeatability across engagements.

Bill of materials validation and architecture

• Own the technical accuracy of the compute bill of materials.

• Verify that all components, including memory, NVMe storage, NICs, and optical transceivers, are aligned with NVIDIA-Certified Systems requirements and the qualified component lists in the relevant DGX, HGX, MGX, and NVL72 reference architectures.

• Match GPU platform selection to the client’s actual workload profile and growth expectations.

Client workshops

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An Hour Ago Remote or Hybrid Mid level Mid level Healthtech * Software * Analytics * Biotech * Pharmaceutical * Manufacturing Promotes pharmaceutical products through academic visits and medical information sharing, builds relationships with target healthcare experts, identifies customer needs, influences prescribing perspectives, increases product market share, and supports company performance targets. The role also requires strong key-account management, teamwork, execution, learning ability, and professional representation of the company.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 10+ years in HPC, AI, or data center infrastructure engineering, including 7+ years in a customer-facing architecture role.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Deep working knowledge of NVIDIA GPU platforms across the Hopper and Blackwell architectures, including Grace Hopper and Grace Blackwell superchip systems, and the associated software stack (CUDA, cuDNN, NCCL).

• Strong Linux systems engineering skills, including distributions tuned for HPC and AI workloads (Ubuntu, RHEL), kernel tuning, driver management, and system hardening.

• Automation and infrastructure-as-code experience, with proficiency in Ansible and Python, and familiarity with declarative tooling such as Terraform.

• Demonstrated ability to translate technical architecture into commercial outcomes for senior stakeholders.

Preferred Qualifications

• Industry background: experience within a systems integrator (SI) or managed service provider (MSP) environment.

• Cluster management: hands-on experience with NVIDIA Base Command Manager and/or NVIDIA Mission Control.

• Network integration: understanding of high-speed interconnects (InfiniBand NDR/HDR, RoCEv2) and how they interact with host PCIe and NVLink topologies.

• Container platforms: Kubernetes and Red Hat OpenShift installation and administration.

• Cloud architecture: AI-oriented compute design on AWS, Azure, Google Cloud, or OCI.

• AI and orchestration tooling: exposure to Rafay, NVIDIA Run:ai, NVIDIA Omniverse, Red Hat OpenShift AI, and Kubeflow.

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $200,000.00 to $230,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program, 4 Minutes Ago Remote or Hybrid 120K-185K Annually Entry level 120K-185K Annually Entry level

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World Wide Technology is an Equal Opportunity Employer., World Wide Technology (WWT) strives to make a new world happen. WWT’s work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.

With more than 14,000 team members and over 60 locations globally, WWT’s culture-grounded in core values and leadership philosophies-has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

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Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer’s problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients’ most complex challenges.