Company Description

About CyberArk:

CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

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.

You’ll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

This is a unique opportunity to be part of a start-up inside the company — building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

• Lead the end-to-end architecture for secure infrastructure enabling AI agent access, identity, and action management.
• Design and oversee the implementation of a secure access control and orchestration layer, covering secrets, tokens, API keys, credentials, and broader identity primitives.
• Design and build systems that securely manage agent and user identities, delegate access intelligently and enforce real-time, context-aware permissions — all while supporting high scalability and multi-agent concurrency.
• Build policy and enforcement mechanisms for just-in-time access, TTL-based credentials, and role-bound permissions.
• Collaborate with engineers to build agent-aware SDKs and wrappers that securely interface with tools, APIs, and services.
• Define APIs, protocols, and data flows that are auditable, scalable, and secure by design.
• Work cross-functionally with security, product, DevOps, and platform teams to shape cohesive solutions.
• Establish coding and design standards, lead reviews, and mentor senior engineers.
  
  
  

Qualifications

• 7+ years of experience in backend architecture and system design, ideally in Python-based environments.
• Deep knowledge of secure system design, identity management, authentication protocols (JWT, OAuth2), and access control models (RBAC/ABAC).
• Experience in architecting services with real-time decision-making.
• Excellent communication and collaboration skills – the ability to align with multiple engineering and security teams across the org to drive forward a shared architecture.
• Familiarity with AI agent ecosystems (LangChain, AutoGen, LlamaIndex, etc.) is a substantial bonus.
• Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) - bonus.