NVIDIA Solution Architect

Note: we are looking for candidates who have certifications in Nvidia latest technology such as Nvidia AI factory, Nemo toolkit, Nemo custom LLM/SLM development experience and other proven latest Nvidia tools, framework etc. 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 modelsGPU & 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 agentsRoles & ResponsibilitiesSolution 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 clustersAI 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 EvaluatorCustomer & 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 outcomesEcosystem & 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