NVIDIA Solution Architect

Must Have Technical/Functional Skills AI / GenAI • Handson experience with LLMs, RAG, agentic workflows, and GenAI architectures • Frameworks: PyTorch, TensorFlow • NVIDIA stack: NeMo, NIM, Triton, TensorRTLLM, 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 multinode 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 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, TensorRTLLM, 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 (NeMoPowered) • Enable the full AI agent lifecycle: data preparation, model selection, agent orchestration, deployment, and continuous optimization • Use NeMo Curator & Data Designer for AIready 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 highperformance 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 deepdive sessions with CXOs, architects, and engineering teams • Translate business problems into scalable NVIDIAbased 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

Salary Range: $180,000 to $200,000 per year