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Manager, Agentic Applications & Emerging Technology at AIA, Shanghai Hongkou

Manager, Agentic Applications & Emerging Technology at AIA in Shanghai Hongkou. Full-time. Apply with swipeandhired.

Innovate and shape what comes next.

At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.

Join us to create what comes next, grow through new experiences and extend your impact across Asia.

About the Role

Support the delivery of demand-led Agentic Applications and Emerging Technology initiatives, focusing on AI agent solutions, workflow automation, and emerging technology use cases driven by business unit needs.
Work with business stakeholders and project teams to translate business requirements into prototypes, pilots, and scalable solutions that can be adopted across markets.
Contribute to the design, implementation, and deployment of AI-enabled solutions by leveraging enterprise platforms, reusable components, and established delivery methodologies.
Support the evaluation and execution of emerging technology pilots, ensuring structured experimentation, measurable outcomes, and practical business value.
Collaborate with business units, GenAI Foundation, Innovation Excellence, Group Technology, and Risk teams to ensure solutions meet operational, governance, and adoption requirements.

Agentic Applications Delivery (Demand-Led Execution)

Support business units in identifying operational challenges, process improvement opportunities, and potential AI use cases.
Gather, analyze, and document business requirements and functional specifications.
Participate in solution design, implementation, testing, pilot execution, and deployment activities.
Support end-to-end delivery of assigned initiatives from discovery through adoption.
Ensure deliverables comply with enterprise standards, governance requirements, and delivery best practices.

Solution Development & Enablement

Assist in the design and implementation of AI agent workflows, orchestration processes, integrations, and user interaction capabilities.
Leverage GenAI Foundation capabilities such as knowledge retrieval, content generation, LLM services, and platform APIs.
Develop and maintain reusable templates, implementation assets, technical documentation, and delivery artifacts.
Support solution validation, testing, performance monitoring, and continuous improvement activities.
Ensure alignment with enterprise architecture, security, privacy, and responsible AI requirements.

Emerging Technology Pilots

Execute proof-of-concept and pilot initiatives for selected emerging technologies.
Conduct technology research, competitor analysis, and feasibility assessments.
Define and track pilot metrics, outcomes, risks, and lessons learned.
Prepare findings, recommendations, and supporting materials for management review.
Monitor emerging industry trends and identify opportunities relevant to AIA's strategic priorities.

Forward Deployment & Adoption

Support deployment and onboarding activities for approved solutions.
Assist business users during implementation, user acceptance testing, and post-launch stabilization.
Conduct user enablement sessions, demonstrations, and training activities.
Monitor adoption metrics, gather user feedback, and identify improvement opportunities.
Document best practices, reusable implementation patterns, and lessons learned.

Stakeholder & Delivery Coordination

Collaborate with business stakeholders, solution architects, engineers, risk teams, and external partners.
Track delivery progress, dependencies, issues, and risks across assigned initiatives.
Prepare project updates, status reports, presentations, and supporting documentation.
Support workshop facilitation, requirement gathering sessions, and stakeholder communications.
Contribute to effective coordination between business demand and technology delivery activities.

Preferred Job Requirements

Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Information Systems, Business Technology, or a related discipline.
5-8 years of experience in technology, digital transformation, AI/ML, GenAI, innovation, product delivery, solution delivery, or related fields.
Experience participating in the implementation of AI, GenAI, automation, digital product, platform, or enterprise technology initiatives.
Good understanding of AI/GenAI technologies, agentic workflows, knowledge retrieval, orchestration concepts, integrations, APIs, workflow automation, and responsible AI principles.
Experience gathering business requirements, supporting solution delivery, conducting testing, and coordinating implementation activities.
Familiarity with Agile delivery methodologies and project lifecycle management practices.
Strong analytical, problem-solving, documentation, communication, and stakeholder management skills.
Ability to work independently while collaborating effectively within cross-functional and multicultural teams.
Experience in insurance, financial services, or enterprise technology environments is advantageous.
Proficient in written and spoken English; Cantonese and/or Mandarin is beneficial for regional stakeholder engagement.
Ability to research emerging technologies, assess business applicability, and translate findings into practical recommendations and implementation opportunities.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.