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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