Senior AI Platform Architect

CyberArk is looking for an AI Platform Architect to shape and implement the technical foundation of our enterprise AI ecosystem. In this role, you will report to the Director of AI Technology in the IT Organization and define the architectural standards and core design principles that enable the secure, scalable, and responsible deployment of AI infrastructure and custom individual use cases across the organization. As a key member of the IT AI technology team, you will lead the integration of enterprise-grade AI platforms with custom-built components for reasoning, retrieval, orchestration, and agentic AI solutions aligned with the wider CyberArk digital/data environment. Your work will establish the foundation for a composable, extensible AI platform that powers high-impact business use cases across the organization.

Your engagement will be focused on two areas: Deploying a low/no code solution(s) to enable the broader workforce and defining and implementing technical platforms for large use-case development implemented by developers and data scientists with AI expertise.

Responsibilities

• Design and maintain a modular, scalable AI architecture to enable the broader workforce to create and deploy their own AI solutions including AI Agents
• Develop systems that allow the discovery, usage, and tracing of AI/ML models and agents
• Implement budget and usage guardrails using CyberArk and cloud security solutions
• Lead the design of systems supporting large use-case development including AI/ML Model deployment, maintenance and monitoring
• Establish architectural standards for responsible AI, including prompt versioning, access control, monitoring, and explainability
• Ensure secure, efficient, and governable interoperability between third-party platforms and internal services, supporting a unified and extensible AI ecosystem
• Reporting to the Director of AI Technology you will collaborate with IT and AI Transformation teams to align architectural decisions with business and platform strategy
• Serve as a key technical advisor across engineering, security, data, and vendor teams — ensuring consistency, scalability, and compliance across the AI stack

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