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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. 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.
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description:
The AI Tech Lead provides expert technical leadership to design, build, and operationalize AI solutions that drive measurable business value. The role owns end‑to‑end delivery of AI initiatives and ensures seamless coordination between product, engineering, and cross-functional teams.
Key responsibilities
Lead and give technical direction, and best practices across GenAI and ML solutions.
Own end‑to‑end delivery—from design and prototyping to production deployment and optimization.
Ensure solution quality, security, reliability, and compliance with enterprise standards.
Collaborate effectively with product owners and application teams to align requirements and manage dependencies.
Champion technical clarity and communication.
Preferred skills
Hands-on experience in Python and Java
Familiarity with REST APIs and frameworks such as FastAPI, Flask, or similar technologies
Experience with LLM frameworks including LangChain, LangGraph, and n8n.
Knowledge of databases such as PostgreSQL and Cosmos DB
Practical experience with AWS cloud services, especially SageMaker and Bedrock
Strong knowledge of containerization and orchestration tools such as Docker, Kubernetes
Qualifications
University graduate, preferably in IT, Computer Science or related disciplines
Over 8 years of working experience
At least 2 years of relevant experience in AI engineering
Practical experience with AI/MLOps practices in enterprise environments
Proficiency in both spoken and written English and Chinese
Responsibilities
Technical Leadership:
Defines and enforces technical standards, patterns, and best practices across the AI stack
Ensures alignment with enterprise architecture, security policies, and regulatory requirements.
Ensures alignment with enterprise architecture, security policies, and regulatory requirements.
Serves as the SME (Subject Matter Expert) for AI/ML, GenAI, and supporting technologies within the team.
Provides hands-on guidance in design reviews and code reviews.
Delivery Ownership (Accountability: End-to-End Delivery & Solution Success):
Accountable for delivering AI solutions that meet business objectives, not just technical completion.
Owns the delivery lifecycle—discovery, prototyping, model training/selection, development, integration, testing, deployment, and production.
Leads backlog technical grooming; estimates complexity, breaks down work, and directs the engineering execution plan.
Identify potential risks related to technology initiatives and create mitigation strategies
Knowledge Management:
Oversee the creation and maintenance of technical documentation
Maintain an active knowledge base for digital solutions and AI related material and system documents
Gather user feedback for future improvements
Job Category:
IT - Technology ServicesPosting End Date:
29/12/2026