AI Data Center Architect (AI Factory / GPU-as-a-Service)

Indotronix International Corporation • Plano, TX

5d • Onsite

About The Position

Join LTTS as an AI Data Center Architect and drive the next generation of AI infrastructure. This is a unique opportunity to shape large-scale AI factories and GPU-as-a-Service platforms using the latest NVIDIA technologies. You'll play a pivotal role in designing, building, and optimizing robust environments for cutting-edge Generative AI and LLM workloads. We’re seeking hands-on architects who thrive in fast-paced, innovation-driven settings—not legacy data center professionals.

Requirements

• 4+ years architecting AI-focused GPU infrastructure in enterprise or hyperscale environments
• Proven expertise with NVIDIA Enterprise Reference Architectures and platforms (DGX, HGX, GB200, H200, Blackwell)
• Deep knowledge of LLM infrastructure, GenAI workloads, and multi-GPU scaling
• Strong skills in Kubernetes for AI workloads, GPU scheduling, and MLOps engineering
• Experience with high-speed networking (InfiniBand, RoCE, 400G/800G fabrics) and high-performance storage
• Ability to design GPU clusters for high throughput and low latency

Nice To Haves

• Built environments supporting 100+ GPUs or sovereign AI/GPU cloud offerings
• Familiarity with Azure, AWS, or GCP AI infrastructure
• Customer-facing architecture and solutioning experience

Responsibilities

• Architect and deploy enterprise and hyperscale AI Factories tailored for advanced training and inference use cases
• Design and implement GPU-as-a-Service (GPUaaS) platforms leveraging NVIDIA’s AI Enterprise ecosystem
• Build and scale GPU clusters using DGX, HGX, GB200, H200, and Blackwell platforms for high throughput AI workloads
• Engineer high-performance, low-latency networking with technologies such as InfiniBand, RoCE, Spectrum-X, NVLink, and BlueField DPUs
• Develop robust GPU scheduling, multi-tenancy, and orchestration frameworks with Kubernetes for diverse AI workloads
• Optimize distributed training infrastructure, MLOps pipelines, and AI workload orchestration
• Create high-performance storage architectures for mission-critical AI applications
• Engage with clients to translate business requirements into scalable, state-of-the-art AI platform designs

Benefits

• Opportunity to work with the latest NVIDIA AI technologies and influence enterprise AI strategy
• Fast-paced, innovation-driven work environment
• Career advancement in a high-growth, future-focused domain
• Inclusive, diverse, and supportive culture with equal opportunity policies
• Full-time position based in Plano, TX with competitive compensation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed