NVIDIA
US - California - Santa Clara
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Define the technical strategy and reference architecture for enterprise agentic AI, and build production systems that automate complex IT workflows with appropriate safety, reliability, and human oversight. Own the integration and automation platform, establish engineering standards, align stakeholders across organizations, and mentor senior engineers.
Requirements: Requires a bachelor’s or master’s degree in a related field or equivalent experience, plus 12 or more years of hands-on software engineering experience in infrastructure, SRE, DevOps, platform, or production engineering. Candidates should have a record of leading architecture across organizations, delivering production agentic AI and enterprise integrations, operating cloud-native systems, and influencing technical direction while developing other engineers.
Key Skills: Agentic AI, Software Architecture, Enterprise IT Operations, LLM-Based Systems, Tool Calling, Retrieval-Augmented Generation, Workflow Orchestration, Infrastructure as Code, CI/CD, Kubernetes, Cloud Platforms, Observability, Python, Go, ServiceNow, Technical Leadership
Benefits: Equity, Benefits
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