$224,000 – $431,250
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a technical leader to drive enterprise adoption of agentic AI systems, working hands-on with strategic ISV partners to design and deploy production AI solutions while shaping the company's product roadmap. This role bridges customer needs and internal teams, requiring deep expertise in generative AI systems, strong communication with senior stakeholders, and the ability to execute across the full agentic AI lifecycle.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- Agent2Agent Protocol (A2A)
- Docker
- Dynamo BIM
- Kubernetes
- LangChain
- MLOps
- Model Context Protocol (MCP)
- Nim
- Python
- PyTorch
- Retrieval-Augmented Generation (RAG)
- Vector Databases
Log in to see which of these are already on your profile.
What they ask for
Required
- 12+ years in technical Product, Engineering, or Solutions roles with enterprise software and production AI experience
- Master's 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
- Proficiency in Python and PyTorch
- Experience with modern agent/LLM stack tools
- Solid grasp of enterprise deployment: MLOps/LLMOps, Kubernetes, Docker, security and compliance
Nice to have
- Track record of influencing complex product decisions through partner relationships
- Proactive in anticipating market trends and advocating for innovation
- Demonstrated agility in high-velocity GenAI environments
- Strong growth outlook and ability to build deep trust across organizations