Applied Agentic AI Lead, Partner Co-Design

NVIDIA is seeking a highly technical, partner-facing Agentic AI Lead to drive the co-design of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. As Technical Lead for your assigned strategic partners, you'll collaborate hand-in-hand with their Software Platform Architects, co-designing the production agentic systems that run their most demanding workloads. You are the senior technical mind on the account, the person the partner trusts to turn hard, ambiguous problems into shipped software, and the one who accelerates adoption of NVIDIA 's stack across the initiatives that matter most to their business. This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on execution, and business acuity with senior leaders. It's an important, high-impact role: you'll grow a rare breadth of skills and stay at the frontier at all times, with your work visible from the partner's leadership to NVIDIA 's roadmap. Agentic AI moves fast, and staying at that frontier for your partners is the heart of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your read on real production deployments will directly shape what they build. What You Will Be Doing: Co-design and build production agentic systems hand-in-hand with a focused set of ISV Software Platform Architects. Define technical objectives, timelines, and adoption strategy aligned to their critical business objectives. Bring these to life across RAG, inference, multi-agent, and long-horizon workflows on NVIDIA 's stack (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks). Drive evaluations of NVIDIA libraries and ship the code and reference architectures that turn each engagement into durable software the ecosystem builds on. Take charge of the technical engagement, ensuring software adoption through strong execution rigor. Collaborate directly with NVIDIA Product, Engineering, NV Research, and Solution Architecture groups. Share insights and impact to reach the best solution. Develop technical breadth, and go deep in select areas as applicable: eg. Fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, Reasoning, RAG, Agent Evaluations and Observability, and Production inference. Represent partner needs and architecture design to Product and Engineering teams. Contribute to the product roadmap by articulating...

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