Engagement Tech Lead, Agentic AI

NVIDIA is seeking a highly technical Engagement Lead to drive integration of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. In this role, you will lead the technical engagement with a select set of the world's most strategic enterprises as the trusted advisor their Software Platform Architects trust, and the leader who unites everyone working the account behind one technical vision. You'll stay hands-on, designing and shipping the production agentic systems that run their most demanding workloads, while accelerating adoption of NVIDIA's stack across the initiatives that shape their business.

This role demands versatility at the intersection of platform strategy, strong AI/ML background with hands-on execution, and communication calibre required with senior leaders. It's a high-impact role where you will grow a rare breadth of skills and stay close to the frontier. Agentic AI moves fast, and staying at that frontier for your partners is a key part of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your insights on real production deployments will directly shape what they build.

What You Will Be Doing:

• Lead the technical engagement with a focused set of ISV partners, working closely with their Software Platform Architects. Together you'll set the objectives, timelines, and adoption plan for each account.

• Stay hands-on: design and ship the code, methods, and reference architectures that bring RAG, inference, and multi-agent, long-horizon workflows to life on our stack (NeMo, Nemotron, NeMo Agent Toolkit, NIM, Dynamo, TensorRT-LLM) and open tools (vLLM, LangChain, vector DBs, MCP, A2A).

• Lead the technical strategy and execution: run the cadence, track adoption, and share what you learn with our Product, Engineering, Research, and Solution Architecture teams to land the best solution.

• Build breadth across the agentic AI lifecycle, with depth in a few areas that fit you: fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, reasoning, advanced RAG, multi-agent workflows, skills/harness engineering, agent evaluation and observability, and production inference.

• Be the voice of the partner inside NVIDIA. Bring their needs and architecture to our Product, Engineering, and Research teams, and help shape the roadmap with what you see across industries.

• Grow deep expertise in agentic platform architecture, and keep up with our fast-moving field and stack so you can give partners the best guidance.

What we need to see:

• 12+ years in technical Product, Engineering, 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: advanced RAG, multi-agent architectures, and production LLM deployments.

• You enjoy leading technical engagements with customers, earning the trust of senior engineers, architects, and executives, and bringing a cross-functional team along.

• Proficiency in Python and PyTorch and the modern agent/LLM stack (LangChain, an inference engine like vLLM or TensorRT-LLM, vector DBs, MCP/A2A). Direct experience with every tool is not required.

• Solid grasp of enterprise deployment: MLOps/LLMOps, Kubernetes and Docker, and security, compliance, and governance.

• The range to research, prototype, and collaborate across teams, and execution rigor to carry the best solution through to production.

Ways to Stand Out from the crowd:

• Track record of influencing complex product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scala...