← All roles

Engagement Tech Lead, Agentic AI

NVIDIA· Account Mgr, Dev Relations
Apply on company site
Santa Clara, CA, Hybrid (US (Remote))$224k - $356.5kFull-timePosted 3mo ago

About the role

Technical Engagement Lead to drive integration of Generative and Agentic AI software with strategic Enterprise ISV partners. Hands-on role designing and shipping production agentic systems on NVIDIA’s stack, guiding adoption and shaping roadmap through cross-functional collaboration.

Responsibilities

  • Lead the technical engagement with a focused set of ISV partners, defining objectives, timelines, and adoption plans.
  • Stay hands-on by designing and shipping code, methods, and reference architectures for RAG, inference, and multi-agent workflows on NVIDIA stack and open tools.
  • Lead technical strategy and execution: cadence, adoption tracking, and cross-team communication to land optimal solutions.
  • Build breadth across the agentic AI lifecycle with depth in areas like fine-tuning, post-training 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, conveying needs to Product/Engineering/Research and helping shape the roadmap.
  • Grow deep expertise in agentic platform architecture and stay current with fast-moving stack to guide partners effectively.

Qualifications

  • 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.
  • 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.
  • Experience leading technical engagements with customers, earning trust of senior engineers, architects, and executives, and guiding cross-functional teams.
  • Proficiency in Python and PyTorch and in the modern agent/LLM stack (LangChain, vLLM or TensorRT-LLM, vector DBs, MCP/A2A).
  • Solid grasp of enterprise deployment: MLOps/LLMOps, Kubernetes and Docker, security, compliance, and governance.
  • Ability to research, prototype, collaborate across teams, and execute rigor to production.

Skills

Required:Technical engagement leadershipAI/ML and deep learningPythonPyTorchMLOps/LLMOpsKubernetes & Docker
Nice to have:LangChainvLLM/TensorRT-LLMVector databases

Benefits

  • equity
  • benefits (as per benefits page)
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA