Lead AI Security Architect

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, compliant AI solutions.
• Champion AI security awareness and best practices across the organization.

Key Requirements

• Bachelor's/Master's in Cybersecurity, Engineering, AI/ML, or related field.
• 5+ years in cybersecurity/data governance/secure systems architecture, with 3+ years in AI or cloud ML.
• Strong knowledge of AI/ML risks (model misuse, prompt injection, bias, adversarial inputs).
• Hands-on experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI).
• Familiarity with AIOps/LLMOps, DevSecOps, RBAC, secrets management, secure CI/CD.
• Knowledge of data privacy controls and frameworks (Zero Trust, OWASP for ML).
• Excellent communication, stakeholder management, and technical writing skills.
• Telco industry experience is a plus.