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!
- Implement and build GenAI solution in cloud (Azure) environment in collaboration with solution architects
- Integrate cloud environment with other elements for efficient running of complex AI use cases
- Support AI solution design process through providing advice on existing tech solutions and potential new solutions
Make an Impact by:
- Jointly design with AI architecture team and implement AI solutions
- Lead hands-on implementation of cloud AI components including storage, analytics, ML and GenAI elements
- Ensure seamless integration between AIDA’s Azure platform with other Azure and on-premise systems
- Automate build and deploy process through Infrastructure-as-Code (IaC)
- Comply to platform delivery roadmap and ensure timely execution of deliverables
- Support platform health, security, access controls, and cost optimization
- Work closely with AI architecture, data engineering, developers, and business teams to align platform capabilities with their needs
Skills for Success:
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 1-3 years of experience in data engineering, platform architecture, or infrastructure roles. Fresh graduates encouraged to apply.
- Hands-on knowledge of Azure data services and Databricks
- Understanding of on-premise infrastructure integration (e.g., network, identity, hybrid storage, firewall, Azure Arc)
- Experience with IaC (e.g., Terraform, Bicep, ARM), for data platforms.
- Strong communicator who can collaborate across functions and with vendors
- Comfortable working in ambiguity and driving clarity in a new setup
