Applied Agentic AI Lead, Partner Co-Design

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
47 days ago
Freshness
Confirmed live today
Closes
Dec 21, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $290k
$143k $379k
below market most similar roles pay here above market

This role pays more than 91% of similar roles. Most pay $183,243–$253,500 — the blue band above. At the midpoint, this role pays about $290k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Applied Agentic AI Lead, Partner Co-Design

The Applied Agentic AI Lead, Partner Co-Design joins a high-impact team to drive the co-design of Generative and Agentic AI software with priority Enterprise ISV partners. You will serve as the senior technical lead, collaborating with Software Platform Architects to build production agentic systems for demanding workloads. Daily responsibilities include defining technical objectives, developing reference architectures, and driving evaluations for RAG, multi-agent, and long-horizon workflows. You will utilize a stack including NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM, vLLM, LangChain, and MCP/A2A. Required skills include Python, Deep Learning fundamentals, MLOps, Kubernetes, and Docker. You will solve complex production deployment problems by translating enterprise needs into product roadmap insights, ensuring partners successfully adopt NVIDIA's stack for large-scale, real-world AI applications.

What you'll do

  • Co-design and build production agentic systems with ISV Software Platform Architects.
  • Define technical objectives, timelines, and adoption strategies aligned to partner business goals.
  • Implement RAG, multi-agent, and long-horizon workflows using NVIDIA's software stack.
  • Ship production code and reference architectures for the broader ecosystem to build upon.
  • Represent partner needs and architecture designs to NVIDIA Product and Engineering teams.
  • Contribute to the product roadmap by articulating insights from large-scale enterprise deployments.
  • Perform deep technical work in fine-tuning, RL from verifiable rewards, and production inference.

What we're looking for

  • 12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI.
  • 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.
  • Fluency in Python and the modern agent/LLM stack including LangChain, vLLM, TensorRT-LLM, and NVIDIA NeMo.
  • Strong grasp of enterprise deployment realities including MLOps/LLMOps, Kubernetes, Docker, and Security, Compliance, and Governance.
  • Strong executive-caliber communication skills and ability to lead large projects with high ownership.
  • Track record of influencing product decisions through trusted partner relationships (preferred).
  • Proven agility in high-stakes environments and ability to build trust with engineers and executives (preferred).

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