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Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead end-to-end development and deployment of enterprise generative AI and LLM applications, including agentic workflows, MCP-based data integrations, secure tool usage, AI gateways, identity propagation, access controls, and observability. The role partners with Information Security and corporate functions to deliver governed AI automation across procurement, supply chain, legal, finance, HR, and manufacturing.
Summary Generated by Built In
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.
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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.
Skills Required
- 10+ years of experience in data or software engineering
- 2+ years deploying generative AI or LLM applications in production
- Deep proficiency in Python
- Experience with LangChain, LlamaIndex, provider-native orchestration, or comparable agent orchestration frameworks
- Hands-on experience building or integrating MCP servers or comparable connector frameworks
- Experience with AI gateway solutions for governing agent traffic
- Working knowledge of SSO and identity federation using SAML, OIDC, or OAuth 2.0
- Experience propagating identity through agentic tool calls
- Experience with cloud AI services such as AWS Bedrock or Google Vertex AI
- Experience with vector databases such as MongoDB, Pinecone, Weaviate, Milvus, or OpenSearch
- Experience building AI solutions for corporate functions, including finance, legal, HR, supply chain, or manufacturing
- Familiarity with AI platform vendor evaluations
- Experience defining enterprise IAM integration patterns with Okta, Entra ID, or Ping
- Experience establishing AI governance frameworks or centers of excellence
- Experience in autonomous vehicles, robotics, or high-tech manufacturing
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
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The Company
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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