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
The role (Manager, AI Application) will be instrumental in this transformation by developing cutting-edge AI solutions that translate advanced research into practical, scalable applications, collaborating across cross-functional teams to deliver enterprise-grade AI software, while also contributing to the establishment and enforcement of engineering governance and best practices.Strategic AI Leadership & Innovation
· Spearhead enterprise-level AI/ML research and innovation initiatives, identifying emerging technologies and methodologies that align with AIA’s strategic vision.
· Shape and influence the long-term AI roadmap, embedding cutting-edge capabilities into core products and services to drive transformative customer and agency experiences.
· Lead the prototyping and validation of advanced AI approaches, ensuring business relevance, scalability, and technical feasibility.
AI Research & Applied Innovation
· Direct research programs focused on novel AI/ML models, tools, and techniques to address complex business challenges.
· Foster a culture of experimentation and rigor through rapid prototyping, hypothesis testing, and impact validation.
· Translate research outcomes into actionable insights and strategic recommendations for business stakeholders.
Solution Development & Enterprise Integration
· Architect and deliver production-grade AI solutions in collaboration with data scientists, engineers, and product teams.
· Design and deploy AI engines as modular microservices within scalable, secure enterprise architectures.
· Assess and mitigate technical risks, ensuring seamless integration of AI components into broader digital ecosystems.
Performance Optimization & Model Evaluation
· Define robust evaluation frameworks and metrics to assess model accuracy, efficiency, and resilience.
· Continuously optimize AI models for performance, scalability, and operational reliability across diverse environments.
Architecture & Engineering Excellence
· Influence enterprise software architecture to support modularity, maintainability, and performance of AI systems.
· Champion engineering best practices, including automated testing, CI/CD pipelines, and secure coding standards.
· Ensure deliverables meet the highest standards of technical quality and cost-effectiveness.
Product Development & Agile Rollout
· Lead the development and deployment of enterprise-scale AI MVPs, guiding their evolution across business domains.
· Support agile development processes, including sprint planning, backlog grooming, and iterative delivery cycles.
Governance & Knowledge Management
· Establish and uphold AI engineering governance frameworks, ensuring alignment with enterprise architecture and compliance standards.
· Contribute high-quality documentation and reusable assets to AIA’s knowledge base to promote transparency and cross-team collaboration.
Technical Leadership & Mentorship
· Provide expert guidance and mentorship to engineering teams, fostering a culture of excellence, innovation, and continuous learning.
· Champion engineering craftsmanship and drive adoption of modern AI development practices across the organization.
Implementation Oversight & Quality Assurance
· Oversee the implementation of AI solutions, ensuring adherence to architectural principles and operational best practices.
· Conduct rigorous design and code reviews to uphold technical integrity and performance benchmarks.
Strategic Collaboration & Influence
· Engage with cross-functional stakeholders—including product owners, architects, and data scientists—to align AI initiatives with business objectives.
· Influence technology roadmaps and contribute to long-term planning for AI capabilities across AIA.
Continuous Learning & Industry Awareness
· Stay at the forefront of AI/ML advancements, evaluating their relevance and applicability to AIA’s strategic goals.
· Apply critical and innovative thinking to unlock new opportunities and solve high-impact problems.
.Build a career with us as we help our customers and the community live healthier, longer, better lives.
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