Senior Manager, Engineering - Enterprise AI and Automation
$272k - $431k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
As a Senior Engineering Manager for Agentic Systems & Platform Architecture, you will lead the strategy and execution for NVIDIA’s agentic developer platform. This role involves deeply understanding how teams across the company build, evaluate, and improve autonomous agents, and translating these evolving patterns into scalable platform capabilities. You will identify gaps and friction, drive rapid proof-of-concepts on emerging agent constructs and ecosystem tools, and operationalize the best approaches into reusable building blocks, integrations, and governance mechanisms. The goal is to accelerate developer productivity and agent quality, enabling teams to safely ship more autonomous systems at NVIDIA scale.
Responsibilities
- Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem.
- Identify gaps and friction in current agent architectures and translate insights into a platform strategy.
- Assess and integrate open-source and third-party tools, driving clear build-vs-use decisions.
- Architect and integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows.
- Lead integration of the AI Data Platform into NVIDIA’s on-prem AI Factory, optimizing performance.
- Establish and enforce robust Agent Governance policies across the platform.
- Design, implement, and maintain a centralized Agent Safety Toolkit.
- Lead and grow a high-performing team and a multi-functional community to standardize procedures and scale adoption.
Requirements
- Bachelor’s degree in CS/Engineering or equivalent experience.
- 10+ years in software engineering, including 4+ years managing high-performing teams.
- Strong hands-on experience with evolving agent architectures and open-source libraries.
- Deep expertise in LLM/agent architectures, leading POCs and integrating them into real business use cases.
- Ability to translate ambiguous problem spaces into clear platform strategy, roadmap, and outcomes.
- Proven track record building multi-team developer platforms (APIs/SDKs, reusable components, reference implementations).
- Experience building evaluation/benchmarking systems for agent workflows.
- Strong judgment in integrating OSS/3P tools and clear build-vs-use decision-making.
- Product approach for safety and governance, including controls, auditability, monitoring, and risk management.
- Strong leadership and executive communication skills.
Benefits
- Equity
- Benefits