Responsibilities:
- Manage digital transformation projects service delivery, testing and post-production support
- Plan, setup and manage application support process including handling enquiries and arranging trainings
- Support system development by liaising with end-users to define requirements, performing system analysis and design, and formalising the process through the preparation of specifications and documentation
- Manage the integration of artificial intelligence (AI) into IT systems and services by defining a strategic AI roadmap, designing and implementing robust generative AI solutions (such as RAG and prompt engineering), implementing LLMOps practices, and ensuring the data and infrastructure are in place to enable scalable, secure, and cost-effective enterprise-wide adoption
- Coordinate and collaborate with internal and external development team for program development and issue resolution
- Analyse, plan and implement system enhancements
- Leverage advanced data science approaches, including statistical modeling, data mining, and predictive analytics, to generate insights that support data-driven decision-making and support the development of corporate-wide analytics projects and data strategy
- Review and advise on application development, system and network capacity planning, hardware and software system performance standards, programming standards, scope of project documentation and control procedures
Requirements:
- Degree holder in Information Technology, Artificial Intelligence, Data Science, Statistics, Engineering, or related disciplines. Holder of master’s degree will have an advantage.
- At least 8 years of relevant work experience
- Experience in managing development team(s), and designing development processes, structures, and best practices
- Experience in solution design and business process design in transforming manual processes to system processes for enterprise scale systems.
- Demonstratable experience in delivering AI / Machine Learning / LLM solutions with hands-on proficiency with Python and common AI/ML frameworks and tools
- Proficiency in MS Office, BI, workflow design and visualization tools
- Good interpersonal, communication and presentation skills
Closing Date for Application:
23 April 2026
How to Apply?
Please click the "Apply" button. Full resume with present and expected salaries should be submitted via online application at https://careers.ura.org.hk/.
For more information on the work of the URA, please visit the website at http://www.ura.org.hk.
All applications will be treated in the strictest confidence and information provided will be used for the consideration of applications. Applicants not invited for interview within four weeks from the closing date may consider their applications unsuccessful.
Personal data provided by job applicants will be treated in strict confidence and used strictly in accordance with our “Personal Information Collection Statement Pertaining to Recruitment” for recruitment purpose only. A copy of the Statement is available on our website and obtainable on request. Applicants may be considered for other suitable positions in the Authority and all personal data of unsuccessful applicants will be retained for a maximum of two years.
