Lead AI Engineer – Enterprise Data & AI

Job description

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). ### 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. ### Qualifications: - 8+ 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 Qualifications: - 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) - 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.