Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead AI Engineer – Enterprise Data & AI (Python/LLM/MCP): Building production-grade enterprise GenAI applications, intelligent agents, and secure data integrations across Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing with an accent on agentic workflows, identity-aware security, and enterprise data access. Focus on designing autonomous multi-step systems, implementing SSO-based permission inheritance, governing model traffic through AI gateways, and establishing observability for agent behavior and data access.
Location: Foster City, California, United States; hybrid workplace
Base salary: $230,000–$300,000 per year, excluding RSUs, stock appreciation rights, and possible sign-on bonus.
Company
Zoox is developing a fully autonomous vehicle fleet and the supporting mobility ecosystem, combining robotics, machine learning, and design.
What you will do
- Design and deploy production-grade LLM applications and intelligent agents with complex reasoning, secure tool use, and autonomous multi-step workflows.
- Architect enterprise data and tool integrations using MCP servers and reusable connectors for Procurement, Supply Chain, Legal, Finance, HR, and Manufacturing.
- Implement AI gateways for authentication, rate limiting, logging, and policy compliance across model and agent traffic.
- Establish identity inheritance through SSO so agents operate only within the requesting user’s permissions.
- Partner with Information Security on RBAC/ABAC, observability, and secure agentic automation.
Requirements
- 10+ years of experience in Data or Software Engineering, including 2+ years deploying GenAI or LLM systems in production.
- Deep Python proficiency and experience with LangChain, LlamaIndex, provider-native orchestration, or comparable agent frameworks.
- Hands-on experience building or integrating MCP servers or similar connector frameworks.
- Experience with AI gateway solutions for governing agent traffic.
- Working knowledge of SAML, OIDC, OAuth 2.0, SSO, identity federation, and permission propagation through agentic tool calls.
- Experience with AWS Bedrock, Google Vertex AI, and vector databases such as MongoDB, Pinecone, Weaviate, Milvus, or OpenSearch.
Nice to have
- Experience developing AI solutions for Finance, Legal, HR, Supply Chain, or Manufacturing.
- Experience evaluating AI platform vendors and defining enterprise IAM patterns with Okta, Entra ID, or Ping.
- Experience establishing AI governance frameworks or centers of excellence.
- Background in autonomous vehicles, robotics, or high-tech manufacturing.
Culture & Benefits
- Hybrid work environment in Foster City.
- Paid sick leave, vacation, bereavement leave, and unpaid time off.
- Amazon Restricted Stock Units and Zoox Stock Appreciation Rights.
- Health, long-term care, disability, and life insurance.
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