Solution Architect- AI

L&T-Cloudfiniti; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading IT services company in Mumbai is seeking a Solutions Architect responsible for designing and delivering scalable GPU-based cloud solutions. The ideal candidate will engage with clients, collaborate with teams, and utilize tools like NVIDIA AI and cloud platforms. A strong background in AI Cloud and excellent communication skills are essential. This full-time role involves significant architectural responsibilities in a dynamic environment.

Qualifications

• 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.
• Strong understanding of AI/ML pipelines, Kubernetes, and containerization.

Responsibilities

• Architect and solution GPU-accelerated workloads for AI, ML, and HPC applications.
• Design and implement scalable GPU-as-a-Service offerings.
• Collaborate with product, engineering, and sales teams.
• Benchmark GPU performance and optimize costs.
• Engage with clients to understand workloads and recommend architectures.

Skills

GPU computing

AI cloud offerings

NVIDIA

Kubernetes

Containerization

AI/ML pipelines

Excellent communication

Pre-sales solutioning

Education

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

Tools

NVIDIA AI

DGX systems

CUDA

Triton Inference Server

AWS

Azure

GCP

Job description

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.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting and Information Services

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