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.