AI Infrastructure Solutions Architect

Overview

The AI Infrastructure Solutions Architect designs end-to-end AI infrastructure solutions for scalable, high-performance AI and HPC environments, with a strong technical presales and architecture focus.

What you'll do

• Partner with Sales to qualify AI infrastructure opportunities.
• Engage customers to gather AI workload, performance, scalability, and operational requirements.
• Conduct technical discovery workshops and architecture discussions.
• Prepare technical proposals, presentations, and solution demonstrations for RFI/RFP/RFQ responses.
• Design end-to-end solutions covering GPU compute, HPC platforms, storage, networking fabrics, Kubernetes/container platforms, and AI software stack integration.
• Coordinate infrastructure integration inputs with facilities design (power density, rack layouts, topology, cabling density, space, and liquid cooling interfaces) and validate deployability within facility constraints.
• Support solution validation, delivery readiness, deployment planning, and commissioning support while maintaining ownership through the project lifecycle.

What you'll need

• 8–15 years of experience in enterprise infrastructure, HPC, AI infrastructure, or solution architecture.
• At least 5 years in a customer-facing presales or solutions architecture role.
• Experience designing GPU-based AI infrastructure and high-density compute environments is highly desirable.
• Bachelor’s degree in Computer Science, Information Technology, Electronics, Electrical Engineering, or a related discipline.
• Master’s degree is preferred.
• Be able to architect areas including compute, networking, storage, and infrastructure integration.

Details

• Location: India (Remote).