Senior AI Security Consultant

Job Summary

We are seeking a Senior AI Security Consultant to architect and safeguard autonomous AI systems, ensuring secure, auditable, and privacy-preserving operations across multi-agency platforms.

Mandatory Skill-set

• 6–10 years in Cybersecurity with 2–3 years in AI/ML or LLM security;
• Hands-on experience securing cloud-native architectures (serverless, APIs, databases);
• Strong expertise in agentic AI systems and API-driven automation security;
• Deep understanding of LLM risks (prompt injection, data leakage, RAG security);
• Experience with threat modeling and secure system design for AI workflows;
• Proficiency in identity, access control, and policy-based authorization (e.g., ABAC);
• Knowledge of audit logging, traceability, and reproducibility in AI systems;
• Familiarity with data governance and privacy controls for sensitive data environments;
• Understanding of Singapore public sector standards (IM8, Model AI Governance Framework);
• Experience with security testing, vulnerability assessment, and adversarial analysis.

Desired Skill-set

• Experience with immutable logging, digital forensics, or building tamper-proof audit trails;
• Prior exposure to public sector or Smart Nation initiatives, with strong alignment to governance and compliance frameworks, is preferred.

Responsibilities

• Lead security architecture design for autonomous AI systems, defining guardrails to prevent unauthorized actions;
• Conduct threat modeling to identify risks such as prompt injection, misuse of AI agents, and data access violations;
• Design and enforce human-in-the-loop controls for high-risk AI decisions;
• Implement end-to-end audit trails capturing AI decisions, data usage, and model versions for traceability;
• Ensure reproducibility and explainability of AI outputs for audits and compliance reviews;
• Enforce strict data governance and least-privilege access across integrated multi-agency data sources;
• Perform proactive security testing, vulnerability assessments, and adversarial simulations on AI workflows;
• Implement advanced privacy controls to protect sensitive business and government data;
• Collaborate with AI engineers and product teams in an agile discovery environment to balance speed and security;
• Translate complex AI security risks into clear, actionable insights for senior stakeholders.

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