AI Security Manager (Tuas)

recruit express pte ltd

Singapore

On-site

SGD 150,000 - 190,000

Full time

14 days+

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Job summary

Recruit Express Pte Ltd is seeking a senior security leader to own the AI security architecture, aligning with enterprise risk, NIST RMF, ISO/IEC 42001, and OWASP LLM Top 10.

You will establish secure-by-design patterns for AI/ML systems, supervise AI security controls, and report to senior stakeholders and the Board. This role requires 7–10 years in cybersecurity with 3+ years in AI/ML security, and Singaporean nationality.

Qualifications

  • 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.
  • Singaporean nationality

Responsibilities

  • Define and implement AI security strategy and governance for enterprise.
  • Design secure-by-design architecture patterns for AI/ML systems and controls.
  • Lead AI red-teaming, threat modelling and remediation activities.
  • Coordinate with SOC, IT and Risk to maintain AI security posture.
  • Report security posture to senior leadership and Board.

Skills

AI security
Board briefing
Security certs
Executive presence

Education

Bachelor's degree in CS / Cybersecurity

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, ISO42001, 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
Implement Security Systems
  • Design and implement controls to secure AI agents, copilots, and automation
  • Prompt injection protection, output filtering, sandboxing, tool restrictions
  • Credential scoping and monitoring controls
  • Embed AI-aware detection capabilities into SIEM and SOC pipelines
  • Develop 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
  • 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.
  • Singaporean only
Professional Qualifications & Relevant Experience
  • Bachelor’s degree in computer science, Cybersecurity, Engineering, or a related discipline.
  • 7-10 years' experience in cybersecurity, with at least 3 years focused on AI/ML security or MLSecOps.
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