Engagement Tech Lead, Agentic AI
AI summary of the role
NVIDIA seeks an Engagement Tech Lead to drive integration of Generative and Agentic AI software with top Enterprise ISV partners.
What you’ll do
- Lead technical engagement with a focused set of ISV partners, setting objectives, timelines, and adoption plans.
- Stay hands-on: design and ship code, methods, and reference architectures for RAG, inference, and multi-agent workflows on NVIDIA's stack and open tools.
- Lead technical strategy and execution, tracking adoption and sharing learnings with Product, Engineering, Research, and Solution Architecture teams.
- Be the voice of the partner inside NVIDIA, bringing their needs to shape the product roadmap.
What you’ll bring
- 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.
- Proficiency in Python and PyTorch and the modern agent/LLM stack (LangChain, vLLM or TensorRT-LLM, vector DBs, MCP/A2A).
Technologies
NeMo · Nemotron · NeMo Agent Toolkit · NIM · Dynamo · TensorRT-LLM · vLLM · LangChain · PyTorch · Kubernetes · Docker · MCP
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
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