NVIDIA Solution Architect

NVIDIA Solution Architect, GEN / AI Architect, Azure or AWS cloud.

Relevant Exp :- NVIDIA ( 2 to 3 yrs )

Location :- Chennai / Noida.

NVIDIA Generative AI Solution Architect

Key Responsibilities

• Architect and deliver end-to-end AI solutions using NVIDIA’s AI Enterprise software, NeMo framework, Triton Inference Server, and GPU-accelerated platforms.

• Design and implement AI pipelines optimized for edge devices (NVIDIA Jetson, Clara), cloud infrastructure (AWS, Azure, GCP), and data centers (NVIDIA DGX).

• Develop and showcase proof-of-concept solutions using large language models (LLMs), retrieval-augmented generation (RAG), and advanced computer vision models for object detection, segmentation, and video analytics.
• Utilize NVIDIA Metropolis platform capabilities to architect AI-powered video analytics and smart city solutions, leveraging edge-to-cloud pipelines for real-time insights and automation.
• Optimize AI inference workloads using CUDA, TensorRT, mixed precision, and model quantization to meet stringent latency and throughput SLAs.
• Collaborate with company engineering, product, and client teams to embed NVIDIA AI technologies into enterprise workflows and industrial applications.
• Provide technical leadership, training, and mentorship on NVIDIA SDKs, AI best practices, and solution deployment strategies.
• Stay abreast of NVIDIA’s product roadmap, AI research trends, and industrial AI innovations to drive continuous solution improvement.
• Support customer engagements including technical workshops, solution demonstrations, and architectural reviews.
• Ensure adherence to data privacy, security, and ethical AI standards throughout the solution lifecycle.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field.

• 5+ years of experience architecting and deploying AI/ML solutions with strong expertise in NVIDIA AI platforms (NeMo, Triton, CUDA, TensorRT).

• Proven experience with generative AI technologies including large language models, prompt engineering, and RAG workflows.
• Strong background in computer vision applications, including object detection, segmentation, and video analytics frameworks.

• Hands-on experience deploying AI solutions on edge devices (NVIDIA Jetson, Clara), cloud platforms (Azure, AWS, GCP), and data center GPU infrastructure.

• Familiarity with NVIDIA Metropolis platform for AI-powered video analytics and smart infrastructure solutions.

• Proficiency in Python, C++, and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with container orchestration (Kubernetes, Docker) and MLOps practices including CI/CD pipelines for AI workloads.
• Excellent communication skills for engaging technical teams and business stakeholders.
• Willingness to travel up to 15% for client and NVIDIA events.

Preferred Skills

• Experience optimizing AI inference with TensorRT, mixed precision, and model quantization.
• Knowledge of AI ethics, bias mitigation, and responsible AI principles.
• Prior experience in industrial, manufacturing, smart cities, or healthcare domains.
• Certifications related to NVIDIA AI technologies or cloud platforms (AWS, Azure, GCP).
• Experience working in global, cross-cultural teams.