Senior IAM Systems Engineer at RBC focusing on CyberArk Secure AI Agents. Leading AI-driven PAM strategies and initiatives for enhanced security and operational efficiency.
Responsibilities
Lead CyberArk AI Agent Implementations: Drive the full lifecycle of CyberArk Secure AI Agents, including deployment, configuration, and integration with existing IAM ecosystems.
Act as a CyberArk AI SME: Provide expert guidance on AI-driven PAM strategies, including automated access provisioning, anomaly detection, and compliance monitoring.
Optimize AI-Powered Workflows: Develop and refine AI models and scripts to automate PAM processes, reduce manual intervention, and enhance decision-making.
Collaborate Cross-Functionally: Partner with IT, Security, DevOps, and Compliance teams to align AI-driven IAM initiatives with business and regulatory goals.
Solve AI-Integrated Challenges: Diagnose complex technical issues in AI agent workflows, leveraging root-cause analysis and innovative solutions.
Ensure Project Success: Manage deliverables using Agile/Scrum methodologies, track progress in tools like Jira, and maintain clear documentation (runbooks, troubleshooting guide, training logs).
Influence Stakeholders: Communicate AI-driven IAM strategies to technical and non-technical audiences, ensuring alignment on timelines, risks, and outcomes.
Drive Continuous Improvement: Monitor AI agent performance, identify optimization opportunities, and stay ahead of emerging threats and industry trends.
Requirements
Must have 5+ years of IAM/PAM experience, with 3+ years hands-on CyberArk or other security product implementation or support.
Proven experience with AI/ML tools in cybersecurity contexts (e.g., automated threat detection, access provisioning, or compliance monitoring).
Experience with AI agent frameworks (e.g., CyberArk Secure AI Agents, custom LLMs) for IAM tasks.
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