Senior AI Security Architect (JD#11290)

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

SCIENTE INTERNATIONAL PTE. LTD. seeks a Senior AI Security Consultant to lead the system security architecture and threat modeling for autonomous AI systems across multi-platform environments.

The role requires deep expertise in LLM risks, privacy controls, and adversarial testing, with responsibilities spanning guardrails, audit trails, and data governance in collaboration with AI engineers in an agile setting.

Qualifications

• 6 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 AI workflow design.
• Proficiency in identity, access control and ABAC.
• Knowledge of audit logging, traceability, and reproducibility in AI systems.
• Familiarity with data governance and privacy controls for sensitive data environments.
• Knowledge of AI Governance Framework.

Responsibilities

• Lead security architecture design for autonomous AI systems.
• Conduct threat modeling to identify risks such as prompt injection and data access violations.
• Design and enforce human-in-the-loop controls for high-risk AI decisions.
• Implement end-to-end audit trails for AI decisions, data usage, and model versions.
• Ensure reproducibility and explainability of AI outputs for audits.
• Enforce least-privilege access across integrated data sources.
• Perform proactive security testing, vulnerability assessments, and adversarial simulations.
• Implement privacy controls to protect sensitive data.
• Collaborate with AI engineers and product teams in agile environments.
• Translate AI security risks into clear insights for senior stakeholders.

Skills

Cybersecurity

AI/ML security

Threat modeling

Identity & access control

Audit logging

Data governance

Policy-based authorization

Security testing

Adversarial analysis

Communication skills

Presentation skills

Documentation

Education

Degree in CS/CE/Statistics/Data Science

Job description

Job Summary

We are seeking a Senior Artificial Intelligence (AI) Security Consultant to lead the System Security Architecture & Threat Modeling Design tosafeguard autonomousArtificial Intelligencesystems, 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 have6 years in Cybersecurity with 2–3 years in AI/ML or LLM security experience;
• 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;
• 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.

EA Licence No. 07C5639