Job Description
- Lead end-to-end development of AI agent security platform
- Recruit, onboard, and mentor engineering team
- Drive design and implementation of core services
- Enforce engineering excellence and best practices
- Contribute to architecture, prototyping, and problem-solving
- Ensure high standards of performance, resilience, and security
We’re building foundational infrastructure to secure AI agents — including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
As the Team Lead, you’ll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail — you’ll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a unique opportunity to be part of a start-up inside the company, delivering the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
- Lead the end-to-end development of a secure platform for managing AI agents’ identities, permissions, access control, and execution context.
- Recruit, onboard, and mentor a team of engineers, shaping the team’s culture and technical direction.
- Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
- Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
- Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
- Ensure your team’s deliverables meet high standards of performance, resilience, and security in production.
#LI-Hybrid
#LI-SR1
