AI Security Engineer / Lead

Kerry Consulting; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading consulting firm in Singapore is seeking an experienced AI Security Engineering SME to lead the design and implementation of AI security solutions. The ideal candidate will have over 10 years of cybersecurity experience, focusing on securing AI/ML systems. Responsibilities include defining security architecture, evaluating security platforms, conducting threat modeling, and leading red teaming initiatives. Expertise in AI security practices and a relevant degree are required for this pivotal role.

Qualifications

• 10-15+ years of cybersecurity experience.
• Proven experience in AI/ML security including LLM security and prompt engineering risks.
• Strong knowledge of AI Security Guardrails, AI Red Teaming, and Model Scanning.

Responsibilities

• Define the organization's AI security architecture across AI/ML pipelines.
• Evaluate and deploy enterprise-grade security platforms.
• Conduct AI-specific threat modeling and mitigation strategy implementation.
• Lead AI red teaming initiatives to identify vulnerabilities.

Skills

AI Security Practices

Cybersecurity Expertise

AI/ML Security Knowledge

Education

Bachelor's or Master's in Computer Science, Information Security, Engineering

Job description

We are seeking an experienced and forward-thinking AI Security Engineering SME to lead the design, development, and implementation of enterprise-grade AI security solutions. This role sits at the intersection of cybersecurity, artificial intelligence, and enterprise architecture, ensuring that AI-driven systems are secure, resilient, and aligned with business objectives and risk appetite.

Responsibilities

• Define and enhance the organization's AI security architecture, ensuring robust protection across AI/ML pipelines, models, and data environments.
• Evaluate, design, and deploy enterprise-grade security platforms, including AI security guardrails, model monitoring, and threat detection capabilities.
• Establish and enforce security controls across the full AI lifecycle, from data ingestion and model training to deployment and inference.
• Conduct AI-specific threat modeling (e.g., prompt injection, model poisoning, adversarial attacks) and implement mitigation strategies aligned with enterprise risk frameworks.
• Secure AI workloads across cloud environments.
• Implement secure AI workflows, ensuring compliance with frameworks such as DASF.
• Lead AI red teaming initiatives, model scanning, and validation exercises to proactively identify vulnerabilities in AI systems.
• Act as a trusted advisor to senior stakeholders across Technology and Business, driving secure engineering practices and influencing AI adoption strategies.
• Develop scalable operating models, including architecture diagrams, playbooks, and governance processes for AI security.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Security, Engineering, or related field.
• 10-15+ years of cybersecurity experience.
• Proven experience in AI/ML security, including LLM security, prompt engineering risks, and secure model deployment.
• Strong knowledge of AI security practices such as AI Security Guardrails, AI Red Teaming, Model Scanning & Validation, and adversarial ML risks.