Applied Agentic AI Lead, Partner Co-Design

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
224K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead co-design and build of production agentic and Generative AI systems with strategic ISV partners. Define objectives, prototype and ship RAG, multi-agent, long-horizon workflows on NVIDIA's stack, drive adoption, collaborate with Product/Engineering/Research, and influence product roadmaps. Ensure production inference, evaluation, observability, and enterprise deployment (MLOps/Kubernetes/Docker) with strong technical execution and partner-facing leadership.
Summary Generated by Built In

NVIDIA is seeking a highly technical, partner-facing Agentic AI Lead to drive the co-design of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. As Technical Lead for your assigned strategic partners, you'll collaborate hand-in-hand with their Software Platform Architects, co-designing the production agentic systems that run their most demanding workloads. You are the senior technical mind on the account, the person the partner trusts to turn hard, ambiguous problems into shipped software, and the one who accelerates adoption of NVIDIA's stack across the initiatives that matter most to their business.

This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on execution, and business acuity with senior leaders. It's an important, high-impact role: you'll grow a rare breadth of skills and stay at the frontier at all times, with your work visible from the partner's leadership to NVIDIA's roadmap. Agentic AI moves fast, and staying at that frontier for your partners is the heart of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your read on real production deployments will directly shape what they build.

What You Will Be Doing:

  • Co-design and build production agentic systems hand-in-hand with a focused set of ISV Software Platform Architects. Define technical objectives, timelines, and adoption strategy aligned to their critical business objectives.

  • Bring these to life across RAG, inference, multi-agent, and long-horizon workflows on NVIDIA's stack (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks). Drive evaluations of NVIDIA libraries and ship the code and reference architectures that turn each engagement into durable software the ecosystem builds on.

  • Take charge of the technical engagement, ensuring software adoption through strong execution rigor. Collaborate directly with NVIDIA Product, Engineering, NV Research, and Solution Architecture groups. Share insights and impact to reach the best solution.

  • Develop technical breadth, and go deep in select areas as applicable: eg. Fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, Reasoning, RAG, Agent Evaluations and Observability, and Production inference.

  • Represent partner needs and architecture design to Product and Engineering teams. Contribute to the product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns captured from ISV engagements.

  • Stay ahead in a fast paced field and NVIDIA's evolving models, libraries, and frameworks to keep your partners on the cutting edge.

What we need to see:

  • 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.

  • A strong AI/ML and Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems, e.g. advanced RAG, multi-agent architectures/harnesses, and production LLM evaluations and deployments.

  • Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving customer scenarios, driving to completion with ownership of large projects.

  • Fluency in Python and the modern agent/LLM stack (eg. LangChain, inference engines such as vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Direct experience with every tool is not required but foundational breadth is desired. 

  • Strong grasp of enterprise deployment realities: MLOps/LLMOps, Kubernetes and Docker, and Security, Compliance, and Governance.

  • Strong executive-caliber communication and deep curiosity for emerging AI technologies. High ownership and initiative, with the relationship-building instinct to keep internal and external collaborators aligned.

Ways to Stand Out from the crowd:

  • Track record of influencing sophisticated product decisions through trusted partner relationships, with empathy for customer needs and an instinct for translating them into scalable platform improvements.

  • Proactive in anticipating market trends and advocating for innovation inside and outside the org, with in-depth knowledge of the ISV and enterprise agent-platform landscape.

  • Proven agility in high-stakes environments, delivering successful partner outcomes in a high-velocity agentic AI landscape.

  • Strong growth and solution outlook, a highly collaborative standout colleague able to build deep trust with engineers, executives, and cross-functional teams at both NVIDIA and Partner organizations.

We’re entering a defining chapter in NVIDIA’s history! This role offers an exceptional opportunity to help build our Enterprise Generative AI business as part of a stellar high-impact team. You'll have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams to empower enterprises and redefine their operations with pioneering AI applications. Your contributions will directly impact the trajectory of our

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

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

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Skills Required

  • 12+ years in technical engineering, product, or solutions roles across enterprise software and production AI, including 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 (RAG, multi-agent architectures, LLM evaluations and deployments)
  • Fluency in Python and modern agent/LLM stack (e.g., LangChain, inference engines like vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A)
  • Experience with fine-tuning approaches (PEFT, SFT), RL from verifiable rewards, reasoning, and agent evaluations/observability
  • Strong grasp of enterprise deployment realities: MLOps/LLMOps, Kubernetes, Docker, security, compliance, and governance
  • Ability to research, prototype rapidly, collaborate cross-functionally, and own large technical projects to completion
  • Executive-caliber communication, relationship-building with partners, and high ownership/initiative
  • Track record of influencing product decisions through trusted partner relationships and translating customer needs into scalable platform improvements
  • Proactive market trend anticipation, deep ISV and enterprise agent-platform knowledge
  • Proven agility delivering successful partner outcomes in high-velocity agentic AI environments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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