Job Description
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, agility, and human potential.
Be a Part of Something BIG!
Make an Impact by:
- Lead the design and delivery of end-to-end AI and software solutions, including backend services, APIs, data pipelines, and user interfaces, ensuring scalability, reliability, and alignment with enterprise standards.
- Drive integration of AI solutions into enterprise systems and workflows, ensuring seamless production adoption, operational readiness, and long-term sustainability.
- Partner with business and technical stakeholders to shape problem definition and solution approach, translating complex and ambiguous requirements into scalable, production-grade systems with clear success metrics.
- Lead rapid prototyping and POC development, while defining the pathway from prototype to production, including architecture, performance, and operational considerations.
- Apply and guide best practices in AI engineering, including AI-assisted development and emerging tooling, to improve team productivity, code quality, and delivery speed.
- Evaluate and recommend new AI technologies, frameworks, and architectural patterns, balancing innovation with enterprise constraints such as security, cost, and maintainability.
- Design and customise platform components and solution architectures to meet diverse enterprise environments (e.g. hybrid, on-premise, regulated systems), ensuring extensibility and reusability.
- Lead deep technical troubleshooting and optimisation, resolving complex issues across system integration, infrastructure, model performance, and deployment environments.
- Own operationalisation of deployed solutions, including observability, performance tuning, reliability engineering, and adherence to security, governance, and compliance requirements.
- Drive the development of reusable patterns, frameworks, and best practices, contributing to platform evolution and enabling scaling across multiple use cases and teams.
- Collaborate with and guide junior FDEs within the project team, taking ownership of end-to-end delivery and outcomes.
- Mentor and support interns in their development work, while aligning with guidance from Senior FDEs or team leads.
Skills for Success:
Qualifications & Experience
- Bachelor’s in Computer Science, Engineering, Data, AI/ML, or related field.
- Proven experience delivering and operationalizing applications and solutions within enterprise environments, with demonstrated business impact.
- Strong foundation in AI and programming, with eagerness to learn and apply emerging technologies such as agentic AI frameworks.
Technical Skills
- Software Engineering & Programming: Python, TypeScript/Node.js, Java or similar; full-stack development, debugging, and production-quality coding.
- System Integration & APIs: REST/GraphQL APIs, microservices, SDK integration, JSON/XML, enterprise system connectivity.
- Cloud & Deployment Infrastructure: AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines, Terraform or similar.
- Data & AI Systems: SQL/NoSQL databases, data pipelines, LLM integration, orchestration frameworks (e.g. LangChain), model APIs.
- Prototyping & Troubleshooting: Proof-of-concept development, AI-assisted coding tools, performance tuning, root-cause analysis.
Good to Have
- Observability & Monitoring Tools (e.g. Prometheus, Grafana, ELK, Datadog, OpenTelemetry).
- Workflow Automation & Orchestration (e.g. Airflow, Temporal, Camunda, UiPath).
Soft Skills
- Strong problem-solving ability in ambiguous and complex environments.
- Clear communication and effective collaboration with technical and non-technical stakeholders.
- Adaptability and proactive learning mindset.
- Ability to work effectively in cross-functional teams.
Are you ready to say hello to BIG Possibilities?
Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!
