Company Description

About CyberArk:

CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.

Copyright © 2026 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders.

Job Description

CyberArk is looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArk’s product lines to adopt agentic workflows safely, reliably, and at scale.

In this role, you’ll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. You’ll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.

You’ll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. You’ll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

Qualifications

• 4+ years of experience in software development
• Experience with cloud infrastructure (AWS preferred)
• Proven experience as a Python developer
• Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering (e.g. chatbots, Agents)
• Attention to detail, ability to multitask, and strong interpersonal skills
• Bachelor’s degree in computer science or an engineering-related field
  
  
  

Additional Information

How will you stand out from the crowd:

• Experience with the Agentic AI architecture, MCP, A2A
• Experience in enterprise-scale application development in a SaaS environment