Senior Agentic AI Solutions Architect

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior Solutions Architect to lead Enterprise ISV engagements, design and deploy production‑grade Agentic AI systems on NVIDIA’s platform. You will guide multi‑agent workflows, RAG, tool use, model customization, and post‑training pipelines, delivering PoCs to production while ensuring performance, security, and observability.

We value hands‑on experience with LLMs and agentic AI, plus the ability to influence senior engineers and communicate with

Qualifications

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
• Consistent track record leading complex AI, ML, distributed systems, or enterprise software deployments from prototype to production.
• Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
• Strong programming and debugging skills in Python and Linux environments, with experience in PyTorch, TensorFlow, or similar deep learning frameworks.
• Deep understanding of agentic AI architectures, including tool use, orchestration, memory, retrieval, planning, evaluation, guardrails, and failure handling.
• Experience with model customization or post‑training techniques such as SFT, RL/RLHF/RLAIF, DPO or relevant equivalent experience, reward modeling, LoRA/PEFT, quantization‑aware optimization, or model evaluation.

Responsibilities

• Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
• Design and build enterprise-grade agentic systems, including multi-agent workflows, tool-using agents, RAG-integrated applications, planning, memory, evaluation, and guardrail patterns.
• Lead deep architecture reviews with partner engineering teams, driving tradeoffs across model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability.
• Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints that help Enterprise ISVs and NVIDIA field teams move from exploration to production.
• Guide partners on model customization and post-training workflows, including supervised fine-tuning, reinforcement learning methods, human or AI feedback, direct preference optimization, PEFT/LoRA, synthetic data generation, evaluation, and regression analysis.
• Work with agent harnesses and execution environments such as OpenShell, OpenAI Agents SDK, LangGraph, LlamaIndex, LangChain, CrewAI, Semantic Kernel, or similar frameworks.
• Translate partner deployment findings into actionable feedback for NVIDIA Product and Engineering, so we can improve our platforms, tools, and field guidance.

Skills

Solutions architecture

AI/ML engineering

Python

Linux

LLMs

Deployment

Multi-agent systems

Education

BS/MS/PhD in CS/EE/AI

Tools

NIM

NeMo Framework

NeMo Guardrails

TensorRT-LLM

NeMo Retriever

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior Solutions Architect to lead Enterprise ISV engagements, design and deploy production‑grade Agentic AI systems on NVIDIA’s platform. You will guide multi‑agent workflows, RAG, tool use, model customization, and post‑training pipelines, delivering PoCs to production while ensuring performance, security, and observability.

We value hands‑on experience with LLMs and agentic AI, plus the ability to influence senior engineers and communicate with