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Applied Agentic AI Lead, Partner Co-Design

NVIDIA· Account Mgr, Dev Relations
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Hybrid (Remote / US)$224k - $356.5k + equityfull-timePosted 3mo ago

About the role

Technical, partner-facing lead to co-design production agentic AI systems with top ISV partners, driving adoption of NVIDIA’s stack and shaping partner-focused AI software development and roadmap insights.

Responsibilities

  • Co-design and build production agentic systems hand-in-hand with ISV Software Platform Architects, defining technical objectives, timelines, and adoption strategy.
  • Drive work across RAG, inference, multi-agent, and long-horizon workflows on NVIDIA stack (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks).
  • Evaluate NVIDIA libraries, ship code and reference architectures to create durable software for ecosystems.
  • Lead technical engagement, ensure software adoption with execution rigor, collaborate with Product, Engineering, NV Research, and Solution Architecture groups.
  • Develop technical breadth and depth in areas like Fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, Reasoning, RAG, Agent Evaluations and Observability, and Production inference.
  • Represent partner needs to Product and Engineering, contribute to product roadmap with enterprise insights from ISV engagements.
  • Stay ahead of evolving models, libraries, and frameworks to keep partners at the cutting edge.

Qualifications

  • 12+ years in technical Engineering, Product, 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 enterprise GenAI system experience (advanced RAG, multi-agent architectures, production LLM evaluations/deployments).
  • Ability to research, prototype, and collaborate with multiple teams to deliver technical solutions for evolving customer scenarios, owning large projects.
  • Fluency in Python and the modern agent/LLM stack (LangChain, vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Foundational breadth preferred.
  • Solid understanding of MLOps/LLMOps, Kubernetes, Docker, Security, Compliance, and Governance.
  • Executive-level communication and curiosity for emerging AI technologies; strong ownership and collaboration skills.

Skills

Required:Technical leadership of partner engagementsGenAI system design and deploymentPython

Benefits

  • equity
  • benefits
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.

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