Senior AI Security Architect

SCIENTE; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

SCIENTE is seeking a Senior AI Security Consultant to lead system security architecture and threat modeling for autonomous AI systems. You will safeguard across multi platforms with auditable, privacy-preserving operations.

Responsibilities include enforcing guardrails, conducting threat modeling, implementing human-in-the-loop controls, and ensuring reproducibility for audits and regulatory reviews. Strong communication is essential.

Qualifications

• 6 years in Cybersecurity with 2–3 years in AI/ML or LLM security experience.
• Experience with threat modeling and secure system design for AI workflows.
• Proficiency in identity, access control, and policy-based authorization (e.g., ABAC).
• Experience with security testing, vulnerability assessment, and adversarial analysis.
• Excellent written, verbal and presentation skills.

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.

Skills

Cybersecurity experience

AI/ML security

LLM security

Threat modeling

Secure system design

Identity and access control

Audit logging

Privacy controls

Security testing

Adversarial analysis

Communication skills

Education

CS/CE/Statistics/Applied Math/Data Science

Tools

ABAC

Job description

We are seeking a Senior Artificial Intelligence (AI) Security Consultant to lead the System Security Architecture & Threat Modeling Design to safeguard autonomous Artificial Intelligence systems, ensuring secure, auditable, and privacy-preserving operations across multi platforms.

Mandatory Skill-set

• Degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science and Analytics;
• Must have 6 years in Cybersecurity with 2–3 years in AI/ML or LLM security experience;
• 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;
• Good understanding of Industry Standard Security Framework (Model AI Governance Framework);
• Experience with security testing, vulnerability assessment, and adversarial analysis.
• Possess excellent written, verbal and presentation skills.

Desired Skill-set

• Experience with Policy-as-Code or logic-based authorization systems;
• Experience with immutable logging, digital forensics, or building tamper-proof audit trails.

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.