NVIDIA Solution Architect

Roles & Responsibilities Solution Architecture & Delivery

• Design end-to-end AI / GenAI and agentic architectures using NVIDIA GPUs, DGX/HGX platforms, networking, and NVIDIA AI stack (NeMo, NIM, Triton, TensorRT-LLM, RAPIDS)

• Build PoCs and reference architectures for LLMs, RAG, agentic AI, and industry-specific use cases

• Optimize training and inference performance across distributed GPU clusters

AI Agent Lifecycle (NeMo-Powered)

• Enable the full AI agent lifecycle: data preparation, model selection, agent orchestration, deployment, and continuous optimization

• Use NeMo Curator & Data Designer for AI-ready and synthetic data

• Apply Nemotron models, NeMo Retriever, and NeMo Evaluator for RAG and validation

• Build and optimize agents using NeMo Agent Toolkit across LangChain, CrewAI, LangGraph, and custom frameworks

• Deploy high-performance inference using NVIDIA NIM

• Enforce grounding, safety, and compliance using NeMo Retriever and NeMo Guardrails

• Drive continuous improvement using NeMo Customizer, NeMo RL, and NeMo Evaluator

Customer & Partner Engagement

• Act as a trusted technical advisor to enterprise customers, GSIs, ISVs, and cloud partners

• Lead architecture workshops and deep-dive sessions with CXOs, architects, and engineering teams

• Translate business problems into scalable NVIDIA-based solutions with measurable outcomes

Ecosystem & Enablement

• Enable partners on NVIDIA AI Enterprise and cloud reference architectures

• Create reusable assets: demos, reference architectures, and enablement material

• Provide field feedback to influence NVIDIA product roadmap

Do you have a Bachelor's degree?, Must Have Technical/Functional Skills AI / GenAI

• Hands-on experience with LLMs, RAG, agentic workflows, and GenAI architectures

• Frameworks: PyTorch, TensorFlow

• NVIDIA stack: NeMo, NIM, Triton, TensorRT-LLM, RAPIDS

• Custom LLM development experience (LoRA, QLoRA, distillation, hyperparameter tuning)

• Experience using NVIDIA Nemotron models

GPU & Systems

• GPU acceleration, CUDA fundamentals, performance profiling

• Distributed training and inference on multi-node GPU clusters

• AI networking and storage concepts (InfiniBand / Ethernet)

Nice to Have

• Experience with LangGraph, LlamaIndex, CrewAI

• Industry expertise (BFSI, Healthcare, Retail, Manufacturing)

• NVIDIA Certifications (AI Infrastructure, GenAI, AI Operations)

• Enables scalable, governed adoption of GenAI and AI agents, Qualifications : BACHELOR OF COMPUTER SCIENCE

(part of Tata group) 3.93.9 out of 5 stars Edison, NJ $180,000 - $200,000 a year