Senior AI Security Consultant

GovTech Singapore; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

GovTech Singapore is seeking a Senior AI Security Consultant to guide the transition to an AI-driven platform. You will be integral to a Discovery Squad, ensuring secure workflows and protecting multi-agency data sources.

Candidates should have 6-10 years in Cybersecurity, particularly AI/ML systems, along with in-depth knowledge of Singapore’s security standards. This role offers a unique opportunity to influence the adoption of agentic AI in government.

Qualifications

• 6–10 years of experience in Cybersecurity, with 2–3 years focused on AI/ML systems.
• Proven track record in securing serverless compute and cloud-native databases.
• Strong understanding of LLM/ASI security risks.
• In-depth knowledge of Singapore’s public sector security standards.

Responsibilities

• Lead security architecture for AI-driven platforms.
• Map out potential risks for autonomous AI systems.
• Design human-in-the-loop workflows for high-stakes AI decisions.
• Build audit trails for AI decisions and ensure reproducibility.
• Conduct proactive security testing on AI processes.

Skills

Cybersecurity expertise

AI/ML system security

Cloud Infrastructure Security

Agentic System Design

Risk Communication

Job description

As the Senior AI Security Consultant for the BusinessSG initiative, you will be the primary security architect guiding our transition to a proactive AI-driven platform. You will be embedded within a 10-man Discovery Squad, working alongside AI engineers and product leads to ensure that autonomous AI workflows—operating via messaging interfaces and a unified data hub—are secure, transparent, and resilient.

Your mission is to ensure every AI action is auditable and non-repudiable, protecting multi-agency data sources while maintaining the highest standards of public trust.

Key Responsibilities

• Security Architecture & Threat Modeling
• System Design: Lead the design of security guardrails for AI agents to prevent them from taking unauthorized legal or financial actions.
• Threat Modeling: Map out potential risks for autonomous AI, such as users trying to "hijack" the agent's intent or tricking it into accessing data it shouldn't.
• Human-in-the-Loop: Design workflows that ensure high-stakes AI decisions (like grant recommendations) cannot proceed without explicit, authenticated human approval.
• Reliable Audit & Explainability
• Audit Trails: Build a "Chain of Custody" for AI decisions by logging what the agent "thought," what specific data it retrieved, and which model version was used.
• Reproducibility: Ensure that AI actions are documented well enough to be reconstructed and explained to auditors or stakeholders.
• Data Governance: Ensure the AI only accesses integrated agency data on a strict "need-to-know" basis.
• Testing & Advanced Privacy (Preferred):
  • Security Testing: Conduct proactive testing to find vulnerabilities in how the AI processes instructions or uses external tools.
  • Advanced Privacy: Implement specialized privacy technologies to protect sensitive business information within our unified data hub.

Required Competencies & Experience

Experience Profile

• 6–10 years of experience in Cybersecurity, with at least 2–3 years focused on AI/ML systems or securing LLM-based applications.
• Proven track record in Cloud Infrastructure Security, specifically securing serverless compute, API gateways, and cloud-native databases.

Core Technical Foundations

• Agentic System Design: Experience architecting or securing systems where AI moves beyond "chat" to performing actions through APIs.
• LLM Security Foundations: Strong understanding of current LLM/ASI security risks, including prompt injection and data privacy in RAG (Retrieval-Augmented Generation) setups.
• Regulatory Knowledge: In-depth knowledge of Singapore’s public sector security standards, including:
  • IM8.
  • Model AI Governance Framework.

Strategic & Soft Skills

• Discovery Squad Collaboration: Ability to thrive in a high-velocity "sandbox" environment where you must balance rapid prototyping with security rigor.
• Adversarial Mindset: Ability to anticipate how users might try to "game" the system to gain unfair advantages.
• Risk Communication: Translating complex technical AI risks into clear, actionable advice for senior leadership.

Preferred Qualifications

• Experience with Policy-as-Code or logic-based authorization systems (e.g., ABAC).
• Knowledge in Digital Forensics or building immutable logging architectures.
• Prior experience in a Public Sector or "Smart Nation" project context.

Why this role?

This is a unique opportunity to join a specialized squad at the ground floor of agentic AI adoption in government. You will move from defending static applications to securing autonomous intelligence that directly impacts the Singapore business community.