NVIDIA Solution Architect

Job Description

We are seeking a highly skilled AI/GenAI Engineer to design, develop, and deploy state‑of‑the‑art generative AI solutions on NVIDIA platforms.

Must Have Technical/Functional Skills

• 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

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

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

Qualifications: BACHELOR OF COMPUTER SCIENCE