As a Lead AI Security & Governance Architect., you will embed security, privacy, and compliance into AI platforms, ensuring secure-by-design deployments that balance innovation with regulatory obligations.

Key Responsibilities

• Define and implement secure AI/ML architectural principles across data pipelines, model deployment, and access layers.
• Drive Responsible AI (RAI) and Explainable AI (XAI) practices for fairness, transparency, and trust.
• Ensure compliance with PDPA, enterprise policies, and emerging AI governance standards.
• Conduct AI-specific risk assessments (bias, adversarial attacks, data leakage, LLM vulnerabilities).
• Integrate privacy-preserving mechanisms (encryption, anonymization, tokenization).
• Evaluate and recommend AI security/governance tools (AWS Guardrails, Azure Responsible AI, IBM Watson Governance).
• Collaborate with internal teams, vendors, and partners to ensure secure, co...