Lead AI Engineer – Enterprise Data & AI

📋 Description

• Design and deploy production-grade LLM applications and intelligent agents capable of complex
• Architect enterprise data/tool integrations using MCP servers, establishing standardized, reusable
• Enforce security guardrails via AI gateways - authentication, rate-limiting, logging and policy
• Implement identity inheritance via SSO, ensuring agents act strictly within the requesting user's
• Work with the Information Security team on access control (RBAC/ABAC) for agentic systems and
• 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
• 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
• Experience with cloud AI services (AWS Bedrock, Google Vertex AI) and vector databases (MongoDB

🎁 Benefits

• Base Salary Range
• Amazon Restricted Stock Units (RSUs)
• Zoox Stock Appreciation Rights
• Sign-on bonus may be offered
• Paid time off (sick leave, vacation, bereavement)
• Unpaid time off