Manager- AI Security (Information Technology) (IT-047)

ST Logistics; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

ST Logistics is seeking a Manager - AI Security to lead the design, implementation, and continuous improvement of AI-specific security controls across the organisation. You will defend against AI-powered threats and secure internal AI systems, copilots, and agentic platforms.

You will be the technical authority on AI security, partnering with Technology GRC, Internal Audit, and the AI Assurance Manager to deliver a complete defensive posture for AI within the organisation.

Qualifications

• Bachelor's degree in computer science, cybersecurity, engineering, or related discipline.
• 7-10 years' experience in cybersecurity, with at least 3 years focused on AI/ML security or MLSecOps.
• Senior security certification such as CISSP, CISM, or equivalent.
• Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS.

Responsibilities

• Develop AI security architecture and controls across the organisation.
• Defend against AI-powered threats and secure AI Copilot/agentic platforms.
• Collaborate with Technology GRC, Internal Audit, and AI Assurance Manager.
• Lead security incident response and AI red-teaming activities.
• Oversee security tooling and secure system architectures.

Skills

AI Security

Cybersecurity

Cloud security

Security architecture

Executive communication

Education

Bachelor's degree in Computer Science/Cybersecurity/Engineering

Job description

The Manager - AI Security leads the design, implementation, and continuous improvement of AI-specific security controls across the organisation. He/she is accountable for defending the organisation against AI-powered external threats — deepfake-driven business email compromise, AI-generated phishing, synthetic identity attacks — and for securing the internal use of AI systems, copilots, and agentic platforms. The Manager - AI Security serves as the technical authority on AI security and partners with Technology GRC, Internal Audit, and the AI Assurance Manager to deliver a complete defensive posture for AI within the organisation.

He/she is well versed in cybersecurity standards, protocols, and frameworks, ensuring all AI security initiatives work in strict compliance with the Cyber Security Act 2018. Possessing deep knowledge of various application and hardware technologies, he/she systematically designs and implements secure system architectures. Furthermore, he/she is an articulate communicator who collaborates seamlessly with team members and cross-functional stakeholders to foster a culture of secure AI innovation.

Job description:
Job Function

Information Technology (Cybersecurity)

Job Summary

The Manager - AI Security leads the design, implementation, and continuous improvement of AI-specific security controls across the organisation. He/she is accountable for defending the organisation against AI-powered external threats — deepfake-driven business email compromise, AI-generated phishing, synthetic identity attacks — and for securing the internal use of AI systems, copilots, and agentic platforms. The Manager - AI Security serves as the technical authority on AI security and partners with Technology GRC, Internal Audit, and the AI Assurance Manager to deliver a complete defensive posture for AI within the organisation.

He/she is well versed in cybersecurity standards, protocols, and frameworks, ensuring all AI security initiatives work in strict compliance with the Cyber Security Act 2018. Possessing deep knowledge of various application and hardware technologies, he/she systematically designs and implements secure system architectures. Furthermore, he/she is an articulate communicator who collaborates seamlessly with team members and cross-functional stakeholders to foster a culture of secure AI innovation.

Job Responsibilities/Key Tasks(External)

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

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 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

Professional Qualifications & Relevant Experience

•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.

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.