Assistant / Manager - AI Security

ST LOGISTICS PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

ST Logistics PTE. LTD. in Singapore seeks a senior AI security leader to define and own the AI security strategy, aligning with enterprise security and risk posture. The role covers secure-by-design architectures, defenses against AI threats, and governance across AI systems and vendors.

You will lead AI red-teaming, embed detections in SIEM/SOC, and report to senior stakeholders. Strong communication and executive presence are essential for success in this critical infrastructure sector.

Qualifications

• Bachelor’s degree in computer science, cybersecurity, engineering, AI or ML.
• 8+ years in cybersecurity with at least 3 years in AI/ML security or MLSecOps.
• Hands-on experience securing production AI systems (generative AI, agentic systems, ML pipelines).
• Ability to translate AI risk into a 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, MITRE ATLAS.
• Experience in logistics, supply chain, defence-adjacent, or critical infrastructure sectors.
• Familiarity with AI red-team tooling such as Garak, PyRIT, or AR Toolbox.
• Cloud AI security expertise (Azure OpenAI, AWS Bedrock, Vertex AI).
• Exposure to Singapore CCoP-CII or critical-information-infrastructure security requirements.
• Strong written and verbal communication skills with executive presence.

Responsibilities

• Define and own the AI Security strategy aligned with ST Logistics' security framework and risk posture.
• Establish secure-by-design architecture for AI/ML systems across vendors and platforms.
• Defend against AI-powered external threats including deepfakes and AI-driven phishing.
• Secure internal AI agents, copilots, and automation with controls on prompts and sandboxing.
• Lead AI red-teaming and adversarial testing, drive remediation to closure.
• Embed AI detections within SIEM/SOC and develop response playbooks for AI incidents.

Skills

AI/ML security

Security strategy

Executive communication

Vendor management

Threat modeling

Education

Bachelor’s degree in CS/Cybersecurity/Engineering/AI/ML

Tools

Garak

PyRIT

Adversarial Robustness Toolbox

Azure OpenAI

AWS Bedrock

Google Vertex AI

Job description

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‑team 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.

By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by ST Logistics and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [https://www.stlogs.com/pages/personal-data-policy/] and [https://www.e2i.com.sg/pdpa/].