Join EY to build a career with global scale and support, driving innovation in AI-driven cyber security. This role focuses on leveraging advanced AI and Agentic AI for cyber risk assessment and remediation.

The opportunity is to work with major financial services clients, addressing complex cyber exposures. You will play a key role in developing and implementing AI-assisted solutions for vulnerability discovery and remediation, contributing to enhanced cyber resilience.

Be part of a dynamic team at the forefront of AI innovation, driving real business impact for global clients and collaborating with experts in a entrepreneurial environment.

Assess cyber risks and control gaps using security assessments, penetration testing, and AI-driven tools. Define enterprise-wide remediation strategies across infrastructure, cloud, identity, application, API, and third-party security.

Design AI and Agentic AI solutions for vulnerability prioritization, risk scoring, and automated remediation orchestration. Establish governance and oversight for AI-enabled cyber operations.

Implement Cyber Remediation Factories covering vulnerability management, cloud posture, application security, and identity remediation. Define operating models, KPIs, and executive dashboards.

Lead multidisciplinary teams, manage remediation backlogs, and track key metrics like MTTR and risk reduction. Communicate effectively with stakeholders and ensure regulatory readiness.

A minimum of 12–18 years of experience in Cyber Security, Security Architecture, or Cyber Transformation is required. You should have led large-scale vulnerability management or remediation programs.

Hands-on expertise in Cloud Security (Azure, AWS, GCP), IAM/PAM, Application Security, Security Operations, Vulnerability Management, and Zero Trust Architecture is essential. Experience with AI, GenAI, Agentic AI, or Security Copilot in cybersecurity use cases is crucial.

Strong client-facing and executive stakeholder management skills are necessary. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Science, AI, or Engineering is expected. Advanced certifications in AI or Cloud technologies are preferred.