Responsibilities:

• Work closely with business stakeholders to identify opportunities for generative AI, AI agents, retrieval-based solutions, and automation to improve productivity, decision-making, customer experience, and operational efficiency.

• Convert business challenges into well-defined AI use cases, including problem statements, target users, data requirements, constraints, success measures, and a straightforward business case.

• Evaluate the feasibility of proposed solutions by considering business value, technical difficulty, data readiness, risk, and change-management needs.

• Prepare requirements, user stories, and process maps for AI-enabled workflows that integrate with existing systems, serving as the link between business teams and technology teams.

• Keep up to date with developments in AI models, tools, agent frameworks, and enterprise platforms, and communicate key updates to the team in clear, accessible language.

• Identify automation opportunities across workflows, RPA, low-code platforms, or agentic AI, and support delivery alongside internal IT teams or external vendors.

Requirements:

• Degree in Business, Information Management, Computer Science, Operations, or a related field.

• Familiarity with current AI tools and the ability to explain recent AI use cases in plain language.

• Able to define business problems, develop simple business cases, and collaborate effectively with stakeholders and technology partners.

• Experience with rapid AI prototyping or vibe coding is an advantage.

• Strong written communication (Chinese & English), workshop facilitation, and ability to explain AI outputs to non-technical audiences.

• Quick learner with a strong interest in emerging AI tools and technologies.