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Solution Architect- AI
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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.