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 its highest-priority Enterprise ISV partners.

As Technical Lead for assigned strategic partners, you will collaborate hand-in-hand with their Software Platform Architects, co-designing production agentic systems that run their most demanding workloads.

Responsibilities:

• Co-design and build production agentic systems 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
• 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 partners on the cutting edge

Requirements:

• 12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work
• Master's or PhD in Computer Science, Electrical Engineering, or equivalent experience
• Strong AI/ML and Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems
• Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving customer scenarios
• Fluency in Python and the modern agent/LLM stack
• 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

Benefits:

• Equity
• Benefits