At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
We are looking for an AI Engineer with extensive developer skills to design, build, and scale AI-powered digital solutions for the insurance domain across our markets in Asia. You will develop end-to-end products—combining machine learning / GenAI capabilities with robust web applications, APIs, and cloud-native architecture—to improve customer journeys, underwriting, claims, fraud detection, servicing, and operational efficiency.
You will collaborate closely with product owners, actuaries, claims assessors, customer service agents, data teams, risk/compliance, and engineering squads to deliver production-ready solutions that are secure, compliant, and measurable.
1) Build AI and GenAI Capabilities for Insurance Use Cases
- Design and implement AI/ML models and/or GenAI workflows for business use cases, including:
- Claims automation and triage, fraud detection, document intelligence (OCR/extraction), customer service copilots, agent assist, underwriting decision support, next-best-action, and knowledge search.
- Build and improve LLM-powered systems (where applicable), including RAG (Retrieval-Augmented Generation), summarization, classification, and orchestration patterns.
- Establish AI quality and evaluation approaches: offline evaluation; prompt/model testing; regression checks; drift monitoring; human-in-the-loop review; drift-based retraining triggers; retraining pipelines; periodic recalibration
- Support AI/ML solutions go-live integration
2) Full Stack Product Engineering (End-to-End Delivery)
- Develop user-facing apps (customer, agent, and operations) and internal tools to operationalize AI outcomes.
- Build secure and scalable backend services, integrating AI capabilities into business workflows.
- Implement authentication/authorization, session management, and role-based access controls for regulated environments.
- Design and build the technical architecture to deploy and maintain AI/ML/Agentic AI in production
3) Data and MLOps / LLMOps
- Build and manage ML pipelines (training, evaluation, deployment) with reproducibility and automation.
- Implement monitoring for latency, cost, quality metrics, and model/app performance; set up alerting and safe rollback plans.
- Test and optimize machine learning models and algorithms before they go in production
4) Security, Privacy, and Compliance-by-Design
- Ensure solutions follow secure coding practices, identity and access management standards, and encryption requirements.
- Apply privacy controls (masking, minimization, anonymization/pseudonymization) and support audit/risk requirements common in insurance.
- Maintain documentation for model/app decisions, testing evidence, and operational readiness.
5) Collaboration and Stakeholder Management
- Act as a bridge between data scientists and ITOps & data engineers & data architects, especially during development and production architecture design and set-up
- Communicate trade-offs and outcomes clearly to technical and non-technical stakeholders.
- Mentor junior engineers and contribute to engineering best practices (code reviews, documentation, standards).
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.