Architect, AI

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

• Responsible for developing information technology architecture solutions in integrated process, applications, data and technology to meet AIA's business needs
• •Lead the architecture, design, and governance of enterprise AI platforms, including Copilot solutions, RAG (Retrieval-Augmented Generation) platforms, Agentic AI systems, and AI-powered business applications.
• •Define end-to-end AI solution architecture covering LLM integration, knowledge management, vector databases, orchestration frameworks, API gateways, security, and observability.
• •Collaborate with product managers, business stakeholders, engineering teams, and enterprise architects to align AI initiatives with business objectives.
• •Engage with business units across underwriting, claims, marketing, distribution, operations, and IT to identify AI use cases and translate business requirements into scalable technical solutions.
• •Design and establish enterprise AI architecture standards, governance models, and best practices for responsible AI adoption.
• •Drive technical evaluation and selection of AI technologies, foundation models, cloud services, and AI development frameworks.
• •Define RAG strategies, knowledge ingestion pipelines, prompt engineering standards, agent orchestration patterns, and multi-agent collaboration frameworks.
• •Ensure AI solutions meet enterprise requirements for scalability, reliability, security, compliance, performance, and cost optimization.
• •Lead architecture reviews, technical design discussions, proof-of-concept (POC) initiatives, and innovation workshops.
• •Work closely with engineering teams throughout the software development lifecycle (SDLC) to ensure successful delivery and operationalization of AI solutions.
• •Partner with DevOps, MLOps, and platform engineering teams to establish CI/CD, LLMOps, model monitoring, evaluation, and deployment practices.
• •Stay current with emerging AI technologies, industry trends, and regulatory developments, incorporating relevant innovations into the enterprise AI roadmap.
• Define AI architecture metrics and success measurements, including platform adoption, model perform

Build a career with us as we help our customers and the community live healthier, longer, better lives.

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