Engagement Tech Lead, Agentic AI

About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• Track record of influencing complex product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scalable platform improvements.
• Proactive in anticipating market trends, and advocating for innovation inside and outside the org, with an in-depth knowledge of the ISV and cloud provider landscape.
• Demonstrated agility in high-stakes environments required to deliver successful outcomes with partner collaborations especially with high-velocity GenAI landscape.
• Strong growth and solution outlook, highly collaborative standout colleague, able to build deep trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations.

Skills

• Agentic AI
• Enterprise AI
• Deep Learning
• Python
• PyTorch
• LLM
• Vector Databases
• Kubernetes
• Docker
• Security, Compliance, Governance

Benefits

• Base Salary Range: $224,000 - $356,500 for Level 5, and $272,000 - $431,250 for Level 6.
• Eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Applications for this job will be accepted at least until July 18, 2026.

Company Information

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.