Senior AI Infrastructure Engineer

CyberArk is looking for an AI Infrastructure Engineer to support new and existing infrastructure enabling the company-wide transformation program aimed at transforming how we work using AI, automation, and data. You will be responsible for the deployment and maintenance of internal AI infrastructure to enable “self-service”, low/no code and enterprise solutions as part of the transformation. You will be working with the Director, AI Technologies and the wider initiative technology and business team to ensure AI infrastructure availability for all users throughout CyberArk The ideal candidate will have a deep understanding of the full lifecycle of AI/ML model creation including development, testing, deployment, and monitoring. They should have experience in the full lifecycle of AI/ML Model deployment, monitoring and maintenance About the Team:  The team provides support to the entire Transforming Our Work initiative by building, automating and maintaining internal infrastructure in a manner that enables “self-service”, low/no code and enterprise solutions. It consists of development in support of internal tools, infrastructure for testing and development and enterprise technology support for CI/CD, DevOps and orchestration.   We are currently looking for an AI Infrastructure Engineer to join us in our work to enable data scientists, data engineers and developers to deliver value.  Responsibilities: Enable developers and non-developers to deliver value by providing robust infrastructure solutions. Ensure infrastructure is self-service and supports both standard development and low/no code solutions Develop and maintain infrastructure for development, testing/staging and production Support enterprise technology for CI/CD, DevOps, and orchestration Deploy, monitor and maintain ML/AI models Lead/facilitate Agile ceremonies (standup, sprint planning, retrospective) Proactively maintain infrastructure to prevent issues before they arise  #LI-EB1