Lead AI Engineer - Enterprise GenAI & Secure Automations

Lever, Inc.

Foster City (CA)

Sur place

USD 230 000 - 300 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Paid time off
Stock options
Health insurance
Disability insurance
Life insurance

Résumé du poste

Zoox seeks a Lead AI Engineer to drive end-to-end GenAI and LLM initiatives, building agentic workflows, integrating enterprise data, and enforcing identity-aware security across procurement, supply chain, legal, finance, HR and MES.

You will design production-grade LLM applications and intelligent agents, architect enterprise integrations with MCP servers, and ensure secure, policy-compliant operation of model traffic.

Qualifications

  • 10+ years in Data/Software Engineering.
  • 2+ years deploying GenAI/LLMs in production.
  • Proficient in Python with LangChain and LlamaIndex.
  • Experience building MCP servers or comparable connectors.
  • Knowledge of SSO/identity federation and RBAC/ABAC.
  • Experience with cloud AI services (AWS Bedrock, Vertex AI) and vector DBs.

Responsabilités

  • Design and deploy production-grade LLM apps and intelligent agents.
  • Architect enterprise data/tool integrations using MCP connectors.
  • Enforce security guardrails via AI gateways and policy compliance.
  • Implement identity inheritance with SSO across agent calls.
  • Collaborate with security and cross-functional teams on AI automation.

Connaissances

Python
LangChain
LlamaIndex
GenAI production
SSO federation
Cloud AI services
Vector databases
MCP integrations

Outils

Claude Agent SDK
OpenAI SDK
MongoDB
Pinecone
Weaviate
Milvus
OpenSearch

Description du poste

Zoox seeks a Lead AI Engineer to drive end-to-end GenAI and LLM initiatives, building agentic workflows, integrating enterprise data, and enforcing identity-aware security across procurement, supply chain, legal, finance, HR and MES.

You will design production-grade LLM applications and intelligent agents, architect enterprise integrations with MCP servers, and ensure secure, policy-compliant operation of model traffic.

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