Director, AI Technology

CyberArk is looking for a Director, AI Technology to lead a newly formed cross-functional technical team to develop and implement a strategic roadmap to evolve our technology stack supporting the deployment and scaling of AI capabilities across the company. Specifically, you will lead the design, development, and evolution of our core AI infrastructure while partnering with stakeholders across the business to develop and deploy targeted AI solutions supporting key strategic functions.  You will bring your unique blend of deep technical expertise, pragmatic implementation experience, and cross-functional leadership to realize the next level of scale and achieve our strategic, financial, and operational objectives. As part of the IT organization, you will work directly with the initiative leadership team, the executive team, and other leaders while gaining exposure to all functional teams.Develop a deep understanding of CyberArk’s business context, goals, and strategyBaseline our current technology stack supporting the development, deployment, and scaling of AI, automation, and associated data capabilitiesWork with senior leaders to translate the overall transformation initiative and develop and execute on a technical roadmap to support the transformationPartner with project team stakeholders/SMEs to shape and clarify scope and prioritiesLead the technical solution design, development, deployment, integration, and scaling of purpose-built AI-based capabilities within key business workflowsBuild, lead, and mentor a cross-functional technical team, including Data Scientists, Data Engineers, UI/UX Designers/Engineers, Software Developers, and ArchitectsDesign and build our technical stack and infrastructure to support wide-spread adoption of AI and automation, and development and delivery of purpose-built AI capabilities at scale, including:Define and oversee the implementation of AI platform components, including MLOps, data pipelines, prompt execution engines, LLM gateways, retrieval pipelines, vector databases, model monitoring, and CI/CD processes for AI workflowsEnsuring the platform’s ability to scale AI capabilities across the organization, including workbenches to support a spectrum of user capabilities, and reusable components to accelerate developmentEstablish engineering best practices for GPT chaining, agentic workflows, prompt management, monitoring, and versioningImplement CyberArk’s responsible AI policies, including model governance, transparency, fairness, and explainability, and the ethical use of AI technologiesPartner with other technical leaders to ensure roles, tools, and processes are consistent across CyberArkMaintain strong focus on pragmatic implementation to ensure plans are successfully translated into execution, and are well grounded in business prioritiesEstablish operating rhythm to guide initiative governance, success metrics, and trackingIdentify dependencies and risks and develop mitigation plans #LI-EB1