- Location
- CAA-Changi Airport Terminal 2, Singapore
- Type
- Full-time
- Department
- Engineering
- Closing date
- Today
- Source
- Workday
Description
[What the role is]
The Civil Aviation Authority of Singapore (CAAS) is seeking a motivated officer to join the Ecosystem Development section under the Next Generation Programme Office. The role supports strategic engineering development initiatives for next-generation Air Navigation Services (ANS) systems and contributes to the development of CAAS’s long-term engineering capabilities.[What you will be working on]
Engineering Capability Development
Develop and implement plans to build and sustain local engineering capabilities for next-generation ANS systems
Identify emerging technologies and capability needs to support long-term engineering development
Contribute to AI engineering work, including domain knowledge graphs, AI-enabled solutions, and model training, evaluation and fine-tuning
Apply AI and digital engineering tools to support requirements analysis, knowledge management, automation, testing and decision support
Programme Implementation
Support deployment of CAAS engineers and strategic partners within ANS programmes
Coordinate with stakeholders to track progress and resolve implementation issues
Maintain integrated plans and prepare senior management updates on capability development
Stakeholder and Industry Engagement
Engage internal stakeholders, industry partners, vendors and research organisations to advance capability development, knowledge transfer and engineering outcomes
Facilitate collaboration across CAAS divisions and external stakeholders to support programme delivery
[What we are looking for]
Trained in Engineering, Information Systems, Information Technology, Computer Science or equivalent
While experience in aviation or engineering systems development is preferred, fresh graduates with relevant fields of study are welcome to apply.
Experience coordinating cross-functional projects involving diverse technologies and multiple stakeholders is preferred
Hands-on familiarity with AI engineering practices, AI-powered platforms and digital engineering tools, including knowledge graphs, model training, evaluation and fine-tuning, and prompt engineering
Good understanding of data governance, responsible AI practices, and the management of engineering data and artefacts required to support AI-enabled solutions
Ability to understand technical concepts, assess emerging technologies and translate engineering needs into plans, reports and stakeholder proposals
Strong communication, analytical, problem-solving, stakeholder management and organisational skills, with sound judgment under pressure
Self-driven, team-oriented and able to travel for overseas training, meetings and work assignments if required
Your appointment designation will be commensurate with your relevant work experience. Successful candidates will be offered a 3-year contract in the first instance and may be considered for permanent appointment or subsequent contract renewal.
