Responsibilities
Develop and execute the AI architecture roadmaps, strategies and priorities to ensure quality, scalable, on-programme and cost-effective solutions aligned with evolving business needs
Engage and influence senior stakeholders to identify, translate and prioritise impactful and achievable use cases for the Corporation's AI platform
Collaborate with internal IT teams, vendors and business users to drive and deliver AI and data-driven solutions while monitoring progress and outcomes
Provide expert advice on transformational AI initiatives or proof-of-concepts to ensure alignment with corporate standards and long-term scalability Manage resources planning including training and talent development while fostering an innovative and collaborative work environment
Requirements
Degree in Computer Science / Information Technology / Information Systems or a related discipline
A minimum of 12 years' relevant experience, of which at least 4 years should be at managerial level
Possession of professional certification in a related discipline is preferred
Hands-on expertise in at least 2 of the following domains:
Artificial Intelligence (AI): Experience with AI engineering across platforms (e.g., Azure/OpenAI, Huawei AI, Alibaba AI), familiarity with GenAI tech stacks and open-source tools, and knowledge in areas such as AI memory, orchestration, monitoring & evaluation, model layer, security & governance, and UI/interaction. Experience in digital product feedback loop management and model fine-tuning is preferred
Application Development: Hands-on development skills in at least two areas—backend (Python, Java), frontend/UI/UX, React), DevSecOps (Azure DevOps), or data manipulation (Python, SQL)—with the ability to coach junior developers or independently build prototypes (e.g., GitHub portfolio)
Data Engineering: Advanced capabilities in scalable, secure AI platforms, including distributed data processing (e.g., Spark, Databricks), real-time streaming (e.g., Kafka, Azure Event Hubs), data orchestration (e.g., Airflow, Azure Data Factory), and data lake/lakehouse management (e.g., Delta Lake, Snowflake). Proficiency in Python, SQL, cloud-native infrastructure (Azure, AWS, GCP), and familiarity with ML feature stores, vector databases, and semantic data layers
Strong presentation and stakeholder management skills with proficiency in both written and spoken English and Chinese
Applications
You are invited to apply online via or send in your CV stating the position (with reference number) you are applying for by mail to Human Resource Management Department, MTR Corporation, G.P.O. Box 9916, Hong Kong on or before 29 January 2026.
For other job openings, please visit MTR Corporation's website for more details.
All information provided by applicants will be treated in strict confidence and used for recruitment purpose only. All personal data of unsuccessful applicants will be retained for 12 months for future recruitment purpose and will then be destroyed.
Primary Location
Hong Kong
Schedule
Full-time
Job Posting
15/Jan/26, 5:49:57 PM
Closing Date
29/Jan/26, 11:59:00 PM
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