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Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem. This role focuses on designing and deploying production-grade LLM applications and intelligent agents for enterprise use across Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing.
Key Responsibilities:
- 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 multiple business functions
- Enforce security guardrails via AI gateways, including authentication, rate-limiting, logging, and policy compliance for all model and agent traffic
- Implement identity inheritance via SSO, ensuring agents act strictly within the requesting user's permissions and privileges without privilege escalation
- 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
Requirements:
- 10+ years in Data/Software Engineering, with 2+ years deploying GenAI/LLMs in production
- Deep Python proficiency; experience with LangChain, LlamaIndex, or provider-native orchestration (Claude Agent SDK, OpenAI Assistants/Agents SDK, or hand-rolled solutions)
- Hands-on experience building or integrating MCP servers or comparable connector frameworks
- Experience with 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 (contract analysis), HR (policy retrieval), Supply Chain (forecasting efficiency), or Manufacturing (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 autonomous vehicle, robotics, or high-tech manufacturing sectors
