AI Engineer

About the Role

You'll build and deploy AI and machine learning models, and automation workflows that address validated business use cases across SLI functions including Operations, Distribution, and Customer Service. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

Responsibilities

• Build and deploy AI and machine learning models, and automation workflows that address validated business use cases across SLI functions including Operations, Distribution, and Customer Service
• Integrate AI solutions with SLI's existing systems and platforms; ensure AI outputs are reliable, explainable, and production-stable
• Work closely with the Data team to ensure AI models have access to clean, well-structured, and governance-compliant data; contribute to feature engineering and training data curation in coordination with Data team
• Monitor deployed AI models for performance drift, data quality degradation, and accuracy; implement retraining pipelines and maintain model versioning to ensure consistent output quality in production
• Document AI architecture, model cards, and technical decisions; share learnings with the broader IT & Digital team to build internal AI capability and support responsible AI governance
• Collaborate with development team to deliver AI solutions
• Document and manage versioning of the model
• Collaborate with DevSecOps team to create model deployment pipeline
• Keep up to date with recent AI trends

Required Qualifications

• Bachelor's degree in computer science, Data Science, Artificial Intelligence, or a related field
• Minimum 2-4 years of hands-on AI/ML engineering experience with models deployed to production
• Proficiency in English; Bahasa Indonesia

Preferred Skills

• Machine Learning and LLM integration experience: prompt engineering, RAG (Retrieval Augmented Generation), API integration with LLM providers
• Python proficiency for AI/ML development and data processing
• Cloud AI services: AWS SageMaker, AWS Bedrock, or equivalent (AWS preferred given SLI cloud footprint)
• Software development practices: develop, build, test, monitoring
• Data engineering fundamentals: ability to work with SQL, NoSQL and vector database
• Understanding of responsible AI principles and explainability requirements
• Master's degree
• Experience in financial services or insurance AI use cases

Why Join Us

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights.

At Sun Life, you can be your most brilliant self. Our supportive, flexible, and inclusive work environment is one where you – and your career – can thrive. Whatever your aspirations, collaborative leaders and colleagues are ready to help you learn, grow, and succeed.

We're a global company with a passion for people. Our purpose is to help Clients achieve lifetime financial security and live healthier lives. As a team of 30,000 across 26 countries, our impact is far-reaching, and locally relevant. Be part of leading change, push boundaries and try new ways of working. Use data to drive bold actions. Be agile and pivot as we test and learn.

Job Details

Job Category: IT - Digital Development

Posting End Date: 29/09/2026