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Lead AI Engineer building production LLM applications, agentic workflows, and MCP-based enterprise data connectors across Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing (MES). Responsibilities include AI gateway guardrails, SSO identity propagation so agents act within user permissions, and RBAC/ABAC with Information Security. Requires 10+ years in data or software engineering, 2+ years of GenAI/LLM production work, and Python.
Zoox is seeking a highly motivated, hands-on Lead AI Engineer to spearhead the end-to-end development and deployment of our Enterprise Gen AI and LLM initiatives, building agentic workflows, integrating enterprise data sources, and enforcing identity-aware security, that transform operations across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES).
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Compensation: USD 230,000 – 300,000 per year salary
