Role at a glance
- Salary
- $224K – $431.3K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or...
- Education
- Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
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Role Summary
NVIDIA is seeking a partner-facing Agentic AI Lead to co-design and build production Generative and Agentic AI software with strategic Enterprise ISV partners. The role works across NVIDIA Product, Engineering, Research, and Solutions Architecture teams, using insights from enterprise deployments to support partner adoption and inform the product roadmap.
What You'll Do
- Co-design production agentic systems with ISV Software Platform Architects and define technical objectives, timelines, and adoption...
- Build and deploy RAG, inference, multi-agent, and long-horizon workflows across NVIDIA's stack and ecosystem tools.
- Drive evaluations of NVIDIA libraries and ship code and reference architectures for partner engagements.
- Lead technical engagements and coordinate with NVIDIA Product, Engineering, Research, and Solution Architecture groups.
- Represent partner needs and architecture designs to Product and Engineering teams and contribute deployment insights to the product roadmap.
- Stay current with NVIDIA's models, libraries, and frameworks to support partners at the frontier of agentic AI.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Hands-on experience building enterprise-grade GenAI systems, including advanced RAG, multi-agent architectures or harnesses, and production LLM evaluations and deployments. Fluency in Python and modern agent/LLM tools. Experience with MLOps/LLMOps, Kubernetes, Docker, and Security, Compliance, and Governance. Strong AI/ML and Deep Learning foundation; executive-caliber communication; ownership of large projects.
Required
- Advanced RAG, multi-agent architectures or harnesses, and production LLM evaluations and deployments
- Python and modern agent/LLM tools, including LangChain, vLLM, TensorRT-LLM, NVIDIA NeMo, vector databases, or MCP/A2A
- MLOps/LLMOps, Kubernetes, Docker, Security, Compliance, and Governance
Preferred
- Track record of influencing sophisticated product decisions through trusted partner relationships
- 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
- Experience building trust with engineers, executives, and cross-functional teams
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.