Role Name : AI Data Center Architect
Location: Plano, TX (Hybrid)
Employment Type: Full-Time
Experience: 15+ Years
Interview Mode : Face to Face
Compensation: Up to $250,000 per year
Job Description:
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.
Key Responsibilities:
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.
Required Qualifications:
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.
Preferred Qualifications:
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
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