NVIDIA Logo

NVIDIA

Applied Agentic AI Lead, Partner Co-Design

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA
224K-431K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in Santa Clara, CA
224K-431K Annually
Expert/Leader
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.
The summary above was generated by AI

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.

Similar Jobs

12 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
Own a book of mid-market accounts across the Balkans, running full sales cycles from discovery to close. Build customer relationships, document buying criteria and accurate pipeline data, perform win/loss analyses, collaborate with technical and post-sales teams, and contribute customer feedback and best practices to improve GitLab's sales processes.
Top Skills: AIDevsecopsGitGitlab
28 Minutes Ago
In-Office or Remote
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Lead full-cycle recruiting for GTM and other functions, build scalable hiring processes and pipelines, partner with hiring managers on workforce planning, improve candidate experience and employer brand, track hiring metrics, support compensation benchmarking, DEI hiring practices, and enable managers through coaching and training.
Top Skills: Ats
2 Hours Ago
Remote or Hybrid
California, USA
Entry level
Entry level
Fintech • Financial Services
No job description text was provided. Typically, a Bilingual Spanish Personal Banker assists customers with opening and managing accounts, promotes bank products (loans, credit cards, investments), handles transactions and basic account servicing, and provides customer service in Spanish and English to meet branch sales and service goals.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account