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”.

Build AI. Unlock BIG Possibilities with Singtel.

Singtel’s Artificial Intelligence & Data Analytics team, AIDA, is growing its team of AI, data and cybersecurity and technology professionals.

We are inviting experienced professionals to register their interest in current and upcoming opportunities across our five AI pillars. This is a single application for candidates who would like to explore where their experience, skills and interests may fit within AIDA.

You do not need to apply for a specific position. Submit your CV through the registration link, and our recruitment team will review your profile against relevant opportunities across the five pillars.

Opportunities across five AI pillars

1. AI Capabilities & Services

Help design and deliver advanced AI solutions that address real business and operational challenges.

Relevant experience may include:

• Artificial intelligence and machine learning
• Generative AI and Agentic AI
• Digital twins and IoT
• Operations research
• Conversational business intelligence
• AI solution design, engineering and deployment

2. AI-Ready Data & Harness Engineering

Build the trusted, reusable data foundations and knowledge systems needed to support enterprise AI.

Relevant experience may include:

• AI-ready and reusable data products
• Data engineering and data architecture
• Knowledge and context engineering
• Data governance and quality
• Agent memory and retrieval systems
• Data platforms and pipelines

3. Central AI Platform & Operations

Develop and operate secure, scalable enterprise platforms that enable teams to build and deploy AI effectively.

Relevant experience may include:

• Enterprise AI and machine-learning platforms
• Cloud and platform engineering
• AI architecture and technical governance
• MLOps, deployment and automation
• Platform reliability and operations
• Network, infrastructure and security engineering

4. AI & Agent Operations

Help ensure that AI and agent-based systems perform reliably, responsibly and effectively in production.

Relevant experience may include:

• AI and agent evaluation
• Instrumentation and observability
• Production monitoring
• Incident and problem management
• Model and agent performance
• AI operations, reliability and optimisation

5. AI Lab & Innovation

Explore emerging technologies and turn promising ideas into prototypes, experiments and future-ready solutions.

Relevant experience may include:

• Rapid prototyping and incubation
• Emerging AI technologies
• Applied research and experimentation
• APPLY FOR JOB
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