Applied Agentic AI Lead, Partner Co-Design

NVIDIA•Santa Clara, CA

10d•$224,000 - $431,250

About The Position

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.

Requirements

12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work.
Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
A strong AI/ML and Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems, e.g. advanced RAG, multi-agent architectures/harnesses, and production LLM evaluations and deployments.
Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving customer scenarios, driving to completion with ownership of large projects.
Fluency in Python and the modern agent/LLM stack (eg. LangChain, inference engines such as vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Direct experience with every tool is not required but foundational breadth is desired.
Strong grasp of enterprise deployment realities: MLOps/LLMOps, Kubernetes and Docker, and Security, Compliance, and Governance.
Strong executive-caliber communication and deep curiosity for emerging AI technologies.
High ownership and initiative, with the relationship-building instinct to keep internal and external collaborators aligned.

Nice To Haves

Track record of influencing sophisticated product decisions through trusted partner relationships, with empathy for customer needs and an instinct for translating them into scalable platform improvements.
Proactive in anticipating market trends and advocating for innovation inside and outside the org, with in-depth knowledge of the ISV and enterprise agent-platform landscape.
Proven agility in high-stakes environments, delivering successful partner outcomes in a high-velocity agentic AI landscape.
Strong growth and solution outlook, a highly collaborative standout colleague able to build deep trust with engineers, executives, and cross-functional teams at both NVIDIA and Partner organizations.

Responsibilities

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 insights from large-scale enterprise environments and cross-industry patterns captured from ISV engagements.
Stay ahead in a fast paced field and NVIDIA's evolving models, libraries, and frameworks to keep your partners on the cutting edge.