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Responsibilities: Support the development and implementation of AI and digitalization projects within the business unit, translating business requirements into practical AI-enabled solutions. Develop AI Agents and workflow automation solutions using Python, low-code/no-code AI platforms and relevant AI technologies. Perform data extraction, processing, analysis and data mining to identify business insights and support AI use cases. Work closely with business users to understand operational pain points, identify suitable AI opportunities, and develop prototypes or Proof-of-Concepts (PoCs). Support testing, deployment, enhancement and ongoing maintenance of AI solutions to ensure they deliver measurable business value. Assist in transferring technical knowledge and AI capabilities to business users, helping strengthen the business unit’s internal digital and AI capabilities. Coordinate with IT, Data and other relevant teams to ensure solutions comply with our Bank’s technology, data security and governance requirements. Requirements: Bachelor degree or above in Computer Science, Data Science, Engineering, or related disciplines. Minimum 2 years of relevant work experience in financial institutions, digital project management experience, including artificial intelligence, process automation, data analytics, and related initiatives, is preferred. Good programming skills in Python, with practical experience in data processing, analysis and automation. Knowledge of data analytics, data mining and basic machine learning / AI techniques, with the ability to work with structured and unstructured data. Familiarity with Generative AI, Large Language Models (LLMs), AI Agents, prompt engineering, RAG or AI workflow development would be an advantage. Experience with low-code/no-code development platforms, APIs, databases or cloud-based applications would be a plus. Strong problem-solving mindset and ability to understand business requirements and convert them into workable technical solutions. Good communication skills and willingness to work closely with non-technical business users. Good written and verbal communication skills in both Chinese and English, including good Putonghua communication skills.