Lead AI Security & Governance Specialist
Lead AI Security & Governance Specialist
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Job Description
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 sayHello BIG Possibilities.
Powering the Future with AIDA
To lead the next phase of our AI evolution weve 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. Its 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 thats reshaping the telecommunications industry and redefining whats 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 Singtels 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 Singtels 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
- Bachelors or Masters 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 risksmodel 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.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
