Location: Tuas, Singapore
Work Schedule: Monday - Friday, 8:00 AM - 5:30 PM
Why This Role?
Artificial Intelligence is transforming how we work-and as AI advances, so do the threats. We are seeking a forward-thinking Manager - AI Security to serve as the organisation's technical authority on AI defense.
In this critical leadership position, you won't just react to threats; you will architect the safeguards that protect our enterprise against cutting-edge AI vulnerabilities (deepfakes, prompt injections, synthetic identity fraud) while enabling the secure adoption of internal AI copilots and agentic platforms.
Key Responsibilities
- Own the enterprise AI Security strategy, ensuring alignment with organizational risk posture and local regulatory frameworks (Cyber Security Act 2018, IMDA, MAS, EU AI Act, NIST AI RMF, ISO 42001).
- Establish secure-by-design patterns across Generative AI, agentic systems, machine learning pipelines, and third-party AI tools.
- Act as the subject-matter expert for senior leadership and Board reporting, translating complex technical risk into actionable strategic insights.
- Design and deploy active controls including prompt injection mitigation, output filtering, sandboxing, and tool/credential scoping.
- Build specialized incident response playbooks to defend against AI-driven external threats (deepfake BEC, AI phishing, model abuse, and data exfiltration).
- Embed AI-aware detection capabilities directly into existing security operations pipelines.
- Lead internal and third-party AI red-teaming and adversarial testing initiatives to systematically expose and remediate vulnerabilities.
- Partner closely with Technology GRC, Internal Audit, and AI Assurance to maintain an airtight defensive posture across all business functions.
What We Are Looking For
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field.
- Min 7-10 years in cybersecurity , with at least 3 years specifically dedicated to AI/ML security or MLSecOps .
- Proven track record securing production AI environments (GenAI, autonomous/agentic systems, or ML pipelines).
- Strong working knowledge of OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 .
- Preferred senior certifications such as CISSP, CISM , or equivalent.
- Exceptional stakeholder management skills with the ability to articulate technical risk to executive teams.