Zoox

Fully electric autonomous ride-hailing service platform

Lead AI Engineer - Enterprise, Data & AI

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeFoster City, CA, USA$230k - $300k /yr

About the Job

Requirements

At least 10 years of experience in data or software engineering, including at least 2 years deploying generative AI or large language models in production.
Deep proficiency in Python and experience with LangChain, LlamaIndex, provider-native orchestration SDKs, or a hand-built orchestration approach.
Hands-on experience building or integrating Model Context Protocol servers or comparable connector frameworks.
Experience with AI gateway solutions for governing agent traffic.
Working knowledge of single sign-on and identity federation using SAML, OpenID Connect, or OAuth 2.0, including propagating identity through agentic tool calls.
Experience with cloud AI services such as AWS Bedrock or Google Vertex AI, and vector databases such as MongoDB, Pinecone, Weaviate, Milvus, or OpenSearch.

Responsibilities

Design and deploy production-grade large language model applications and intelligent agents capable of complex reasoning, secure tool usage, and autonomous multi-step workflows.
Architect enterprise data and tool integrations using Model Context Protocol servers, establishing standardized, reusable connectors across Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing execution systems.
Enforce security guardrails through AI gateways, including authentication, rate limiting, logging, and policy compliance for all model and agent traffic.
Implement identity inheritance through single sign-on so agents act within the requesting user's permissions and privileges, without privilege escalation or standing overreach.
Work with the Information Security team on role-based and attribute-based access control 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.

Desired Qualifications

Experience building AI solutions for corporate functions such as Finance, Legal (including contract analysis), HR (including policy retrieval), Supply Chain (including forecasting efficiency), or Manufacturing (including manufacturing execution system data integration and production or quality analytics).
Familiarity with AI platform vendor evaluations, including Bedrock, Vertex, or Cortex.
Experience defining enterprise identity and access management integration patterns using Okta, Entra ID, or 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.

Salary Range: 230000 to 300000 (Currency: USD) (Pay period: per-year-salary)

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:

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 (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.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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