Senior IAM Systems Engineer (Global Security)

Job Description

Job Description WHAT IS THE OPPORTUNITY? As the Senior IAM Systems Engineer (CyberArk Secure AI Agents Focus), you will participate with the design then lead the implementation, and optimization engineer work of CyberArk Secure AI Agents at RBC. This role combines deep technical expertise in Privileged Access Management (PAM) with cutting-edge AI integration to enhance automation, threat detection, and operational efficiency. You’ll lead initiatives to harness AI-driven solutions, collaborate across IT and Security teams, and ensure RBC remains at the forefront of secure, intelligent identity management. The ideal candidate is a forward-thinking problem-solver passionate about cybersecurity, AI innovation, and delivering scalable enterprise solutions. WHAT WILL YOU DO? 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. WHAT DO YOU NEED TO SUCCEED? 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. Project leadership experience: Coordinating cross-functional teams, managing timelines, and delivering complex IAM/AI projects. Strong problem-solving abilities: A track record of innovating solutions for AI-driven security challenges. Documentation skills: Maintaining technical runbooks and troubleshooting guides. Knowledge of AI ethics and compliance (e.g., data privacy, bias mitigation) in enterprise security contexts. Programming proficiency for automation, AI model integration, and workflow orchestration.

Required Skills