Manager- AI Security (Cyber)
Job Description
Develop Architecture Requirements & Maintain Oversight
•Define and own AI Security strategy aligned to enterprise risk posture
•Establish secure-by-design architecture patterns for AI/ML systems (GenAI, agentic, ML,
vendor AI)Set governance and control frameworks aligned with NIST AI RMF, ISO 42001, OWASP LLM Top 10, IMDA, MAS, EU AI Act
•Serve as technical authority on AI security for senior stakeholders and Board reporting
•Build AI security awareness programmes for high-risk business functions
•Manage AI security vendors, MSSPs, and red-team providers, including budget oversight
•Partner with AI Assurance to drive remediation of audit/assurance findings
•Maintain overall oversight of AI security posture, risks, and control effectiveness
•Prompt injection protection, output filtering, sandboxing, tool restrictions
•Credential scoping and monitoring controls
- Embed AI-aware detection capabilities into SIEM and SOC pipelinesDevelop and
- implement incident response playbooks for AI-related threats
•Deepfake BEC, model abuse, agent escape, AI data exfiltration
•Implement defence mechanisms against AI-enabled external threats
•AI phishing, synthetic identity fraud, AI-driven social engineering
•Lead AI red-teaming and adversarial testing (internal / external providers)
•Drive remediation of vulnerabilities identified during testing
Manage Security Systems
•Monitor AI systems and enforce ongoing security controls
•Coordinate with SOC on AI threat detection and incident response
•Manage remediation of AI security risks to closure
•Maintain readiness for AI cybersecurity incidents
•Ensure effectiveness and continuous improvement of controls
•Coordinate AI security operations across IT, Risk, Ops, and vendors
•Oversee lifecycle management of AI security tools and systems
Job Requirements
• Bachelor’s degree in computer science, Cybersecurity, Engineering, or a related discipline.
• Minimum 7-10 years' experience in cybersecurity, with at least 3 years focused on AI/ML security or MLSecOps.
• Hands-on experience securing production AI systems — generative AI, agentic systems, or ML pipelines.
• Demonstrated ability to translate complex AI risk into board-level narrative.
• Senior security certification such as CISSP, CISM, or equivalent.
• Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Strong written and verbal communication skills, with executive-level stakeholder presence.