Lead AI Engineer – Enterprise Data & AI
AI summary of the role
Lead the design and deployment of enterprise GenAI/LLM applications and agentic workflows at Zoox, integrating data sources across corporate functions like Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing.
What you’ll do
- Design and deploy production-grade LLM applications and intelligent agents for complex reasoning and autonomous multi-step workflows.
- Architect enterprise data/tool integrations using MCP servers across Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing.
- Enforce security guardrails via AI gateways (authentication, rate-limiting, logging, policy compliance).
- Implement identity inheritance via SSO to ensure agents act within user permissions.
What you’ll bring
- 8+ years in Data/Software Engineering with 2+ years deploying GenAI/LLMs in production.
- Deep Python proficiency and experience with LangChain, LlamaIndex, or provider-native orchestration.
- Hands-on experience building/integrating MCP servers or comparable connector frameworks.
- Experience with AI gateway solutions (e.g., Cloudflare AI Gateway).
Technologies
Python · LangChain · LlamaIndex · Claude Agent SDK · OpenAI Assistants/Agents SDK · MCP servers · Cloudflare AI Gateway · SAML · OIDC · OAuth 2.0 · AWS Bedrock · Google Vertex AI
About Zoox
Builds and operates an all-electric, purpose-built autonomous robotaxi service, controlling the full stack from vehicle design to fleet operations.
Growth
Employer postings · Data from · Sources