[LTA-RSE] SENIOR/ EXECUTIVE ENGINEER, AI SECURITY ENGINEER

Land Transport Authority (LTA) Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Land Transport Authority (LTA) Singapore seeks a Senior/Executive Engineer, AI Security Engineer to lead AI security across the rail domain.

You will review AI security submissions, develop standards and provide guidance to project teams on secure AI design and deployment within an OT rail environment. Strong ML security expertise and excellent stakeholder communication are essential.

Qualifications

• 3–5+ years in AI security with exposure to AI/ML systems
• Strong understanding of ML security risks (poisoning, adversarial attacks)
• Familiarity with AI/ML development lifecycle and security integration
• Ability to review technical submissions and provide clear security guidance
• Excellent communication with technical and non-technical stakeholders

Responsibilities

• Serve as internal SME on AI security across railway domain
• Guide project teams on secure AI design, implementation and deployment
• Review AI security submissions for alignment with MITRE/ISO/NIST standards
• Develop AI security standards, guidelines and reference frameworks
• Advise on AI supply chain risks including third‑party models and datasets
• Support incident response activities for AI system anomalies and security events
• Stay updated on AI security threats and evolving guidance
• Engage OT teams to adapt guidance to operational constraints

Skills

AI security

Machine learning concepts

Security guidance

Communication

Education

Bachelor's degree in Computer/Electrical Engineering or related field

Tools

MITRE ATLAS

OWASP ML Security Top 10

NIST AI RMF

Job description

What the role is

SENIOR/ EXECUTIVE ENGINEER, AI SECURITY ENGINEER

What you will be working on

We are looking for an experienced AI Security Engineer to join our rail cybersecurity team. You will serve as an internal authority on AI security, providing expert guidance to project teams on how AI systems should be properly secured throughout the full development lifecycle. You will review AI security-related submissions and ensure that implementations align with international standards and industry best practices. This role is based within an Operational Technology (OT) rail environment, and the successful candidate is expected to bring an open mind and willingness to understand the unique characteristics and constraints of OT systems.

Key Responsibilities

• Serve as the internal subject matter expert and authority on AI security across railway domain
• Provide guidance to project and engineering teams on secure AI design, implementation, and deployment throughout the AI development lifecycle
• Review AI security-related submissions, documentation, and artifacts to ensure alignment with international standards and industry best practices (e.g. MITRE ATLAS, OWASP ML Security Top 10, IEC/ISO standards)
• Develop and maintain AI security standards, guidelines, and reference frameworks for use by project teams
• Advise on AI supply chain risks, including third‑party models, frameworks, and datasets
• Support incident response activities related to AI system anomalies or security events, in an advisory capacity
• Stay current with emerging AI security threats, vulnerabilities, and evolving industry guidance
• Engage with OT teams to understand operational constraints and adapt AI security guidance accordingly

What we are looking for

• Knowledge in Computer Engineering, Electrical/Electronic Engineering, or a related field
• At least 3-5 years of relevant working experience in AI security, with demonstrable exposure to AI or machine learning systems
• Strong knowledge of machine learning concepts and associated security risks (e.g. model poisoning, adversarial attacks, data integrity, model inversion, inference attacks)
• Familiarity with the AI/ML development lifecycle and how security integrates at each stage
• Knowledge of AI security frameworks and standards (e.g. MITRE ATLAS, OWASP ML Security Top 10, NIST AI RMF)
• Ability to review technical submissions and provide clear, actionable security guidance
• Strong communication skills, with the ability to engage effectively with both technical and non‑technical stakeholders
• Open‑minded and willing to learn about Operational Technology (OT) environments, including their unique security constraints and operational requirements

Good to Have

• Knowledge of Large Language Model (LLM) security
• Familiarity with GenAI‑specific security considerations
• Prior exposure to or experience in OT or industrial control system (ICS) environments
• Relevant certifications in AI/ML security