Lead AI Engineer (Enterprise Data & AI)

Join Zoox, a cutting-edge robotics company, as a Lead AI Engineer. In this role, you will lead the development and deployment of our Enterprise Gen AI and LLM initiatives, transforming operations across various functions. You will design and deploy production-grade LLM applications, architect enterprise data/tool integrations, enforce security guardrails, and partner with cross-functional teams to build secure AI automation. Enjoy a range of benefits, including paid parental leave, health insurance, and opportunities for remote work.

• Spearhead the end-to-end development and deployment of Enterprise Gen AI and LLM initiatives, building agentic workflows, integrating enterprise data sources, and enforcing identity-aware security.
• 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 various corporate functions.

• 10+ years in Data/Software Engineering, with 2+ years deploying GenAI/LLMs in production
• Hands-on experience building/integrating MCP servers or comparable connector frameworks
• Deep Python proficiency; experience with LangChain, LlamaIndex or provider-native orchestration (e.g., Claude Agent SDK, OpenAI Assistants/Agents SDK or hand-rolled)
• 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)
• Experienced in AI gateway solutions (e.g. Cloudflare AI Gateway) for governing agent traffic
• Previous experience in the autonomous vehicle, robotics or high-tech manufacturing sectors
• Experience defining enterprise IAM integration patterns (Okta, Entra ID, Ping) for AI systems and establishing AI governance frameworks or centers of excellence
• Familiarity with AI platform vendor evaluations (Bedrock, Vertex, Cortex, etc.)
• Experience building AI solutions for corporate functions like Finance, Legal (e.g. contract analysis), HR (e.g. policy retrieval), Supply Chain (e.g. forecasting efficiency) or Manufacturing (e.g., MES data integration, production/quality analytics)
• You do not need to match every listed expectation to apply for this position