Assistant / Manager - AI Security

Key Responsibilities

. Define and own the AI Security strategy aligned with ST Logistics enterprise security framework and the Group's risk posture.

. Establish secure-by-design architecture patterns for AI/ML systems built, procured, or integrated by ST Logistics - covering generative AI, agentic systems, traditional ML, and third-party AI features embedded in vendor platforms.

. Defend against AI-powered external threats, including deepfake-driven business email compromise targeting finance and procurement, AI-generated spear-phishing campaigns against operations and customer service,synthetic-identity attacks against vendor and carrier onboarding, andAI-augmented social engineering aimed at executives.

. Secure internal AI agents, copilots, and automation -implementing controls against prompt injection, output filtering, agent sandboxing, tool-use restrictions, credential scoping, and continuous monitoring of agent behaviour.

. Lead AI red-teaming and adversarial testing of internal AI systems, either in-house or through commissioned third parties, and drive remediation of findings through to closure.

. Embed AI-aware detections within the SIEM and SOC pipeline partner with the SOC to develop response playbooks for AI-related incidents (deepfake BEC, model abuse, agent escape, data exfiltration via AI tooling).

. Maintain alignment with NIST AI RMF, ISO/IEC 42001,MITRE ATLAS, OWASP LLM Top 10, the IMDA Model AI Governance Framework, MAS guidance on AI risk where applicable, and the EU AI Act for cross-border operations.

. Serve as the technical authority on AI security for senior stakeholders, with periodic reporting to the Risk Committee and Board.

. Build and maintain an AI security awareness programme, with targeted modules for high-risk functions (finance, procurement, executive office, customer service, vendor management).

. Manage relationships with AI security vendors, MSSPs, and external red-team providers own the related budget.

. Partner closely with the AI Assurance Manager to remediate findings raised during assurance reviews.

Required Qualifications

. Bachelor's degree in computer science, Cybersecurity, Engineering, AI, Machine Learning.

. Minimum 8 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, OWASPLLM Top 10, and MITRE ATLAS.

. Experience in logistics, supply chain, defence-adjacent, or critical infrastructure sectors.

. Familiarity with AI red-teaming tooling such as Garak, PyRIT, or the Adversarial Robustness Toolbox.

. Cloud AI security expertise (Azure OpenAI, AWS Bedrock, Google Vertex AI).

. Exposure to Singapore CCoP-CII or critical-information-infrastructure security requirements.

. Strong written and verbal communication skills, with executive-level stakeholder presence.

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