Job Description
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...
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