Are you ready to shape a better tomorrow?

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

As an AI Engineer (Research), you will be at the forefront of advancing AI capabilities within our organization. Your primary focus will be researching, prototyping, and validating cutting-edge AI/ML techniques—especially in Generative AI, LLMs, agentic workflows and AI agents—and translating them into practical solutions. You’ll collaborate with data scientists, architects, and product teams to push the boundaries of what AI can achieve for enterprise-scale applications.

1. AI Research & Innovation

• Investigate and experiment with state-of-the-art AI/ML models, including LLMs, multimodal models, and retrieval-augmented generation (RAG)
• Develop and evaluate algorithms and techniques for model optimization (e.g., fine-tuning, distillation, quantization, reinforcement learning with human feedback)
• Explore emerging paradigms such as AI agents, agentic workflows, and autonomous orchestration.
• Publish internal research papers on demand, contribute to patents, and present findings to leadership and technical communities.

2. Prototyping & Proof-of-Concept Development

• Build rapid prototypes to validate hypotheses and assess feasibility for enterprise use cases.
• Design and implement experimental pipelines for model training, evaluation, and benchmarking.
• Collaborate with architects to transition successful prototypes into production-ready solutions.

3. Technical Expertise

• Core Development & MLOps
• Hands-on development using Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Strong software engineering background: Python (advanced), plus C++/Java for performance-critical components.
• Deep experience in MLOps for research workflows: experiment tracking, reproducibility, CI/CD for models, containerization (Docker/Kubernetes).
• Knowledge of vector databases, embedding models, and retrieval systems for RAG architectures.

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.