Solution Architect- AI

Job Overview

Responsible to drive solutioning for GPU-as-a-Service (GaaS) and AI Cloud offerings. The ideal candidate will design, optimize, and deliver scalable GPU-based cloud solutions leveraging NVIDIA and other AI cloud platforms.

Responsibilities

• Architect and solution GPU-accelerated workloads for AI, ML, and HPC applications.

• Design and implement scalable GPU-as-a-Service offerings on NVIDIA AI Enterprise, DGX Cloud, or public/private cloud platforms.
• Collaborate with product, engineering, and sales teams to define AI cloud strategies and customer solutions.
• Benchmark GPU performance, optimize costs, and ensure seamless cloud integration.
• Engage with clients to understand workloads, recommend architectures, and support deployments.

Educational Qualifications

BE/B-Tech or equivalent with Computer Science or Electronics & Communication

RELEVANT EXPERIENCE

• Relevant Experience in AI Cloud, GPU computing, or solution architecture.
• Hands-on experience with NVIDIA AI, DGX systems, CUDA, Triton Inference Server, and cloud platforms (AWS, Azure, GCP).
• Strong understanding of AI/ML pipelines, Kubernetes, and containerization.
• Excellent communication and pre-sales solutioning skills.