Lead AI Engineer (Enterprise Data & AI)

- You do not need to match every listed expectation to apply for this position - 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)

Join Zoox, a cutting-edge robotics company, as a Lead AI Engineer. In this role, you will lead the development and…