AI Data Center Architect

We are seeking a highly experienced AI Data Center Architect to design and architect next-generation AI infrastructure, GPU-accelerated computing platforms, and large-scale AI data center environments. The ideal candidate will have deep expertise in NVIDIA reference architectures, AI Factory infrastructure, GPU-as-a-Service (GPUaaS), high-performance networking, and enterprise-scale AI cloud platforms.

The candidate will lead end-to-end AI infrastructure architecture supporting large language models (LLMs), Generative AI workloads, distributed computing, and high-performance computing environments., * Design and architect large-scale AI data center infrastructure for enterprise AI, Generative AI, and LLM workloads.

• Develop end-to-end AI Factory architectures covering GPU compute, high-performance networking, storage, orchestration, and infrastructure management.
• Architect GPU-as-a-Service (GPUaaS) and AI cloud platforms supporting scalable, multi-tenant AI workloads.
• Define infrastructure solutions based on NVIDIA Reference Architectures, including NVIDIA DGX, HGX, and Blackwell-based systems.
• Architect and optimize GPU infrastructure using NVIDIA GB200 platforms and related accelerated computing technologies.
• Design high-performance AI networking solutions using NVIDIA Spectrum-X Ethernet and InfiniBand.
• Develop scalable infrastructure architectures for AI model training, inference, distributed computing, and LLM deployment.
• Define compute, storage, networking, and data center requirements for high-density GPU clusters.
• Evaluate infrastructure performance, scalability, availability, security, and operational efficiency.
• Collaborate with hardware vendors, cloud providers, engineering teams, and data center operations teams.
• Establish architecture standards, reference designs, technical documentation, and infrastructure deployment best practices.
• Provide technical leadership throughout architecture design, deployment, integration, and optimization.
• Evaluate emerging AI infrastructure technologies and recommend solutions aligned with business and technical requirements.

• 15+ years of experience in infrastructure architecture, data center architecture, cloud infrastructure, or related engineering domains.
• Strong expertise in AI infrastructure, AI Factory architecture, and GPU-accelerated computing.
• Architectural experience with NVIDIA AI infrastructure and NVIDIA Reference Architectures.
• Strong knowledge of NVIDIA DGX and HGX platforms, NVIDIA Blackwell architecture, and GB200-based systems.
• Experience designing GPU-as-a-Service (GPUaaS), GPU cloud, or enterprise AI cloud platforms.
• Expertise in high-performance networking, including NVIDIA Spectrum-X Ethernet and InfiniBand.
• Strong understanding of large-scale GPU clusters, distributed computing, and accelerated computing architectures.
• Experience architecting infrastructure for LLM training, inference, and Generative AI platforms.
• Knowledge of data center compute, networking, storage, scalability, and performance optimization.
• Strong solution architecture, technical leadership, stakeholder management, and communication skills.
• Ability to translate business and AI workload requirements into scalable, reliable, and cost-effective infrastructure architectures., * Experience building or modernizing hyperscale AI data centers or enterprise AI infrastructure platforms.
• Familiarity with GPU cluster orchestration, Kubernetes, containerized AI workloads, and infrastructure automation.
• Understanding of AI workload scheduling, multi-tenancy, resource allocation, and GPU utilization optimization.
• Experience with high-speed Ethernet, RDMA, RoCE, and large-scale cluster networking.
• Familiarity with AI infrastructure monitoring, observability, capacity planning, and operational management.
• Experience working with NVIDIA ecosystem partners, system integrators, or cloud infrastructure providers.

Work Arrangement and Eligibility:

• Full-time, onsite position in Plano, TX.
• Minimum 15 years of relevant professional experience.
• Annual compensation up to $220,000, depending on experience and client requirements.

Mandatory Required Skills:

AI Data Center Architecture, AI Infrastructure, AI Factory Architecture, GPU-as-a-Service, GPUaaS, NVIDIA Reference Architecture, NVIDIA DGX, NVIDIA HGX, NVIDIA Blackwell, NVIDIA GB200, NVIDIA Spectrum-X Ethernet, InfiniBand, High-Performance Networking, GPU Cluster Architecture, Accelerated Computing, LLM Infrastructure, Generative AI, AI Cloud Architecture, GPU Cloud, High-Performance Computing, HPC, Distributed Computing, Data Center Architecture, Compute Infrastructure, Storage Architecture, Infrastructure Solution Architecture

Preferred Skills: Kubernetes, GPU Orchestration, Infrastructure Automation, Multi-Tenancy, GPU Scheduling, RDMA, RoCE, Observability, Capacity Planning