AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

If you want to shape a brighter future at AIA Digital+, please read on.

About the Role

We are seeking a high-calibre Technical AI Intern with strong academic performance and proven hands-on capabilities to join the Group IT Operations - Portfolio, Service and Delivery Management team.
This role focuses on designing and delivering practical AI-driven use cases across Portfolio, Service and Delivery Management team, addressing real operational challenges.
This is a high-impact, delivery-oriented role suited for candidates who can independently build, validate, and implement working solutions, translating ideas into tangible outcomes.

Roles and Responsibilities

Assist in developing and delivering AI-driven solutions, focusing on portfolio insights, service assurance, and operational efficiency, working closely with the multiple teams and various AI technology.

Key Responsibilities

• Design and develop AI/ML solutions for use cases

• Build end-to-end prototypes, including data extraction, cleaning, feature engineering, model development, and visualization using real operational datasets.

• Analyze data across Group IT Operations to generate insights and identify performance gaps, risks, and optimization opportunities.

• Develop dashboards and automation to enhance reporting, governance, and operational decision-making.

• Participate in full delivery lifecycle (requirements, design, build, testing, deployment, monitoring) and iterate proof of concepts into scalable solutions.

• Collaborate with multiple stakeholders, and contribute to executive-level materials (insights, dashboards, presentations).

• Explore emerging technologies (e.g., GenAI, cloud AI/ML, automation tools) and contribute to building scalable, reusable AI capabilities.

Job Requirements:

Final year student (preferred) in Artificial Intelligence, Data Science, Machine Learning, Computer Science, or related fields, with strong academic performance and demonstrated hands-on experience in building practical AI solutions.

Key Requirements
. Strong programming skills with solid foundation in machine learning, AI concepts, and data analysis.
. Proven hands-on experience in developing working models or solutions through projects, internships, competitions, or any relevant matters.
. Experience in data handling, including data extraction, cleaning, analysis, and visualization.
. Exposure to relevant AI tools and technologies is an advantage.
. Highly analytical, solution-oriented, and able to work independently with minimal supervision to deliver tangible outcomes.
. Strong communication skills with the ability to translate technical outputs into clear, actionable insights, and collaborate effectively across teams.
. Demonstrates high ownership, curiosity, and drive to build scalable, real-world solutions.