Lead AI Security & Governance Specialist

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Be a Part of Something BIG!  

As an AI Security & Governance Architect, you will be responsible for embedding security, privacy, and compliance principles into the design and operation of AI platforms across Singtel.

You will work closely with Singtel’s Security and Data Governance teams to ensure all AI solutions and platform architectures meet enterprise security standards, regulatory obligations (e.g. PDPA), and emerging AI risk governance frameworks. This role is key to enabling secure-by-design AI deployments, supporting both innovation and compliance within the AIDA business unit.

Make An Impact By

• Collaborate with Singtel’s Group Security and Data Governance teams to align AI platform designs with enterprise security and compliance policies.
• Define and implement secure-by-design architectural principles for AI/ML platforms, covering data pipelines, model deployment, and access layers.
• Ensure compliance with regulatory frameworks and AI governance standards.
• Ensure secure and compliant architecture in collaboration with cybersecurity and governance teams, embedding PDPA and enterprise policy requirements into designs
• Translate governance requirements into technical specifications and enforceable controls across cloud and on-premise AI environments.
• Integrate privacy-preserving mechanisms such as data anonymization, encryption, tokenization, and secure logging into AI workflows.
• Evaluate and recommend AI security and governance tools (e.g. AWS Guardrails, Azure Responsible AI, IBM Watson Governance) for adoption.
• Conduct AI-specific risk assessments, including model misuse, bias, data leakage, adversarial attacks, and LLM prompt vulnerabilities.
• Review and approve the integration of third-party AI services and open-source models from a security and compliance perspective.
• Champion awareness of AI security and governance across AIDA by contributing to policies, best practices, and team enablement sessions.

Skills to Succeed

• Bachelor’s or Master’s degree in Cybersecurity, Engineering, AI/ML, or related field.
• More than 5 years of experience in cybersecurity, data governance, or secure systems architecture, with at least 3 years focused on AI or cloud-based ML systems
• Proven expertise in implementing cybersecurity governance, data protection, etc on data or AI platform.
• Strong understanding of AI/ML pipeline components and risks—model misuse, prompt injection, data leakage, adversarial inputs, bias and explainability.
• Proficient in implementing secure and compliant AI/ML systems on cloud platforms such as AWS SageMaker, Azure ML, Google Vertex AI, etc
• Experience with MLOps and DevSecOps practices, including secure CI/CD, RBAC, secrets management and logging
• Familiarity with AI governance toolkits and regulatory trends.
• Technical knowledge of data privacy controls (encryption, tokenization, data minimization) and security frameworks (e.g., Zero Trust, OWASP for ML)
• Ability to perform threat modelling and security assessment for AI and LLM-based systems
• Strong cross-functional communication and collaboration skills, with the ability to influence both technical and policy-level decisions
• Good internal (IT, Networks, business) and external (suppliers, government) stakeholders management skills
• Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
• Proactive and fast learner with a strong drive to stay current on emerging technologies and industry trends.

Rewards that Go Beyond

• Full suite of health and wellness benefits  
• Ongoing training and development programs  
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

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