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

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