Engineer / Executive Engineer (Ecosystem Development)

Job 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.