AI Security Architect

As an AI Security Architect, you will play a critical role in shaping the security foundations of a next-generation, AI-driven digital platform. You will work within a lean, cross-functional product team, partnering closely with AI engineers and product leads to ensure that autonomous AI workflows, operating across conversational interfaces and integrated data environments are secure, transparent, and resilient.

This role focuses on embedding trust, accountability, and strong governance into AI-driven decision-making processes, ensuring that all system actions are auditable, explainable, and aligned with enterprise risk standards.

Responsibilities

• Design and implement security guardrails for AI-driven systems, ensuring appropriate controls over automated actions, integrations, and decision-making processes
• Identify and assess risks across autonomous AI workflows (e.g. prompt injection, misuse, unauthorized data access), and embed controls to mitigate these threats
• Establish workflows that enforce appropriate human-in-the-loop approvals for high-impact or sensitive AI decisions
• Build robust audit trails to capture AI decision flows (inputs, data sources, model behaviour), ensuring outputs are reproducible, explainable, and aligned with governance requirements
• Enforce strict data access controls (least privilege, need-to-know) and implement measures to protect sensitive data within integrated platforms
• Conduct proactive and adversarial testing of AI systems to identify vulnerabilities across workflows, integrations, and external tool usage
• Partner closely with AI engineers and product teams in an agile environment to embed security-by-design while supporting rapid development and innovation

Requirements:

• 6-10 years of experience in cybersecurity, with recent years focused on AI/ML systems or securing LLM-based applications
• Proven experience in cloud security, including serverless architectures, APIs, and cloud-native data platforms
• Experience designing or securing systems where AI performs actions via APIs and integrated services
• Strong understanding of risks such as prompt injection, data leakage, and security considerations in RAG-based architectures
• Ability to design secure, scalable solutions across modern cloud environments

To apply:

If you're interested to apply or find out more, please share across your CV or reach out to Chen Yi at [Confidential Information] for a discussion. Due to anticipated high volume of applications, we regret to inform that only shortlisted candidates will be notified.

Reg: R1876389

Lic: 16S8060