Lead AI Engineer – Enterprise, Data & AI

The role

You will lead the building and launch of enterprise generative AI and LLM systems, including agent workflows and connections to company data. The work covers Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES). You will also set the security controls for these AI systems.

What you will do

• Design and deploy production LLM applications and agents for complex reasoning and multi-step workflows
• Build standard reusable connectors to enterprise data and tools using MCP servers
• Set security guardrails through AI gateways: authentication, rate limiting, logging and policy compliance
• Implement SSO identity inheritance so agents act only within the requesting user's permissions
• Work with Information Security on access control (RBAC/ABAC) for agent systems
• Set observability standards for agent behavior and data access
• Partner with cross-functional teams to build secure, code-driven AI automation

Required qualifications

• 10+ years in Data or Software Engineering
• 2+ years deploying GenAI or LLMs in production
• Deep Python proficiency
• Experience with LangChain, LlamaIndex or provider-native orchestration (e.g., Claude Agent SDK, OpenAI Agents SDK or hand-rolled)
• Hands-on experience building or integrating MCP servers or comparable connector frameworks
• Experience with AI gateway solutions (e.g. Cloudflare AI Gateway)
• Working knowledge of SSO and identity federation (SAML, OIDC, OAuth 2.0) and propagating identity through agent tool calls
• Experience with cloud AI services (AWS Bedrock, Google Vertex AI) and vector databases (MongoDB, Pinecone, Weaviate, Milvus, OpenSearch)

Nice to have

• Experience building AI solutions for Finance, Legal (e.g. contract analysis), HR (e.g. policy retrieval), Supply Chain (e.g. forecasting) or Manufacturing (e.g. MES data integration, quality analytics
• 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 autonomous vehicle, robotics or high-tech manufacturing sectors

Before you apply

• Accommodations are available for the application or interview process; contact accommodations@zoox.com or your assigned recruiter

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring it to market. It works at the intersection of robotics, machine learning and design to provide mobility-as-a-service in urban environments.