Cluster Solution Architect

* United States of America
- North Carolina
- Morrisville

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About Our Team

Lenovo's Cloud Service Provider (CSP) team designs AI infrastructure solutions for hyperscalers, Neo Cloud providers, and other data center customers. We bring together GPU platforms, high-performance networking, cluster software, and data center infrastructure to support large-scale AI training and inference.

As a Cluster Solutions Architect, you'll translate customer requirements into integrated, scalable solutions and compelling technical proposals. You'll collaborate with customers, sales teams, technology partners, and engineering teams to shape architectures that balance performance, efficiency, operational requirements, and deployment feasibility.

Ideal candidates will bring experience designing, architecting, and supporting large-scale AI infrastructure solutions in customer-facing environments, including GPU cluster deployments, AI inference platforms, and integrated hardware and software solutions for enterprise, cloud, hyperscale, or data center customers.

What You'll Do

• Design and optimize end-to-end AI inference and AI training solutions, with a primary emphasis on AI inference architecture, software stack integration, and production deployment of large-scale GPU cluster environments using NVIDIA software and platform technologies, including NVIDIA AI Enterprise, Dynamo, NIM, NVIDIA Infrastructure Controller (NICo), Mission Control, LPx, and emerging inference acceleration capabilities.
• Evaluate architecture tradeoffs to improve token latency, throughput, GPU utilization, and overall AI service efficiency.
• Translate customer workload, capacity, networking, power, and cooling requirements into integrated cluster architectures and technical recommendations.
• Design integrated AI cluster solutions that combine GPU compute platforms, high-performance networking, software stack components, storage, and supporting data center infrastructure into scalable customer-ready architectures.
• Provide technical leadership and architecture guidance throughout the customer solution lifecycle, including requirements gathering, solution design, technical reviews, proposal development, and customer presentations.
• Develop and deliver technical presentations, proofs of concept (POCs), demonstrations, and customer-facing solution proposals that clearly articulate architecture decisions, business value, technical differentiation, and deployment considerations.
• Support customer engagements by evaluating technical requirements and recommending scalable AI cluster architectures that balance performance,…