Lead AI Security

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Lead AI Security & Governance Specialist
An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say..."Hello BIG Possibilities".
Powering the Future with AIDA
To lead the next phase of our AI evolution, we've launched a new business unit
AIDA
–
Artificial Intelligence & Data Analytics
– a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.This marks a
pivotal shift
in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At
Singtel , this is more than a technology upgrade. It's a
strategic transformation
that redefines how value is created across the enterprise core—
augmenting human capabilities
and unlocking entirely new potential. It is a transformation journey by aligning
people, platforms, and processes
under one cohesive strategy. Our mission is to build
AI literacy , and foster a culture where
intelligence empowers people .
We welcome you to join us
on a transformational journey that's reshaping the telecommunications industry — and redefining what's possible with AI at its core.
Grow with us
in a workplace that champions
innovation , embraces
agility , and puts
human potential
at the heart of everything we do.
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
We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
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