Lead AI Security Architect

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking an AI Security & Governance Architect to embed security, privacy, and governance into AI platforms across Singtel. You will work with Singtel’s Security and Data Governance teams to ensure all AI solutions meet enterprise security standards, regulatory obligations (e.g.

PDPA), and emerging AI risk governance frameworks. This role enables secure-by-design AI deployments while supporting innovation and compliance within the AIDA business unit.

Qualifications

• Bachelor’s or Master’s degree in Cybersecurity, Engineering, AI/ML, or related field.
• 5+ years in cybersecurity, data governance, or secure systems architecture, with 3+ years in AI/cloud ML.
• Experience implementing cybersecurity governance and data protection on data or AI platforms.
• Strong understanding of AI/ML pipelines and related risks (model misuse, data leakage, bias, explainability).
• Proficiency with secure and compliant AI/ML on AWS SageMaker, Azure ML, Google Vertex AI.
• Experience with AIOps/LLMOps, secure CI/CD, RBAC, secrets management and logging.

Responsibilities

• Collaborate with Security and Data Governance teams to align AI designs with policy.
• Define and implement secure-by-design principles for AI/ML platforms.
• Implement Responsible AI (RAI) and Explainable AI (XAI) practices across solutions.
• Ensure compliance with regulatory AI governance standards and PDPA requirements.
• Integrate privacy-preserving mechanisms (encryption, tokenization, anonymization) into AI workflows.
• Evaluate and recommend security tools for AI governance and risk management.
• Conduct AI-specific risk assessments including bias, data leakage, and prompt vulnerabilities.
• Lead threat modeling and security assessments for AI/LLM-based systems.
• Collaborate with vendors/partners to review solutions and ensure security compliance.
• Promote AI security governance awareness across the organization.

Skills

AI/ML pipelines

Cloud platforms

DevSecOps

RBAC

security governance

data protection

threat modeling

explainability

privacy-preserving tech

stakeholder management

Education

Bachelor's or Master’s in Cybersecurity

Tools

AWS SageMaker

Azure ML

Google Vertex AI

Job description

At Singtel, we believe in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers. We strive to ensure all our people practices are non-discriminatory and provide a fair, performance-based work culture that is diverse, inclusive and collaborative.

Join us and experience what it’s like to be with an Employer of Choice*. Together, let’s create a brighter digital future for all. *Awarded at the HR Fest Awards 2020.

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.

• Implement and oversee Responsible AI (RAI) practices to ensure AI systems are designed and deployed ethically, with fairness, transparency, and compliance

• Implement and oversee Explainable AI (XAI) practices to ensure AI model decisions are transparent, interpretable, and trustworthy through integrated explainability features.

• 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.

• Review and clear governance approvals related to architecture and solution design, with specific focus on AI security.

• Collaborate with vendors and partners to review, evaluate, and select appropriate security solutions.

• Ensure all AI solutions, including in-house and vendor-developed systems, undergo thorough testing and Vulnerability Assessment and Penetration Testing (VAPT) to safeguard security and reliability.

Skills for Success:

• 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 AIOps/LLMOps 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 modeling 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

• Proven experience working in a telco environment or implementing security and governance role is a plus

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth.