Lead AI Engineer – Enterprise, Data & AI
About the role
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). \n In this role, you will: - Design and deploy production-grade LLM applications and intelligent agents capable of complex reasoning, secure tool usage and autonomous multi-step workflows. Architect enterprise data/tool integrations using MCP servers, establishing standardized, reusable connectors across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES).
Enforce security guardrails via AI gateways - authentication, rate-limiting, logging and policy compliance for all model/agent traffic. Implement identity inheritance via SSO, ensuring agents act strictly within the requesting user's permissions & privileges (no privilege escalation, no standing overreach). Work with the Information Security team on access control (RBAC/ABAC) for agentic systems and establish observability standards for agent behavior and data access.
Partner with cross-functional teams to build secure, code-driven AI automation.
What you'll do
- 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.
What you'll bring
- 10+ years in Data/Software Engineering, with 2+ years deploying GenAI/LLMs in production.
- Deep Python proficiency; experience with LangChain, LlamaIndex or provider-native orchestration (e.g., Claude Agent SDK, OpenAI Assistants/Agents SDK or hand-rolled).
- Hands-on experience building/integrating MCP servers or comparable connector frameworks.
- Experienced in AI gateway solutions (e.g. Cloudflare AI Gateway) for governing agent traffic.
- Working knowledge of SSO/identity federation (SAML, OIDC, OAuth 2.0) and propagating identity through agentic tool calls.
- Experience with cloud AI services (AWS Bedrock, Google Vertex AI) and vector databases (MongoDB, Pinecone, Weaviate, Milvus, OpenSearch). Bonus
- Familiarity with AI platform vendor evaluations (Bedrock, Vertex, Cortex, etc.)
- Experience defining enterprise IAM integration patterns (Okta, Entra ID, Ping) for AI systems and establishing AI governance frameworks or centers of excellence
- Previous experience in the autonomous vehicle, robotics or high-tech manufacturing sectors. \n $230,000
- $300,000 a year Base
Benefits
- Range There are three major components to
- salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.
- A sign-on bonus may be offered as part of the
- The listed range applies only to the base
- Compensation will vary based on geographic location and level.
- Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
- range listed in this posting is representative of the range of levels Zoox is considering for this position.
- Zoox also offers a comprehensive package of benefits, including paid time off (e.
Posted 6 days ago