AI
AiaAgency Digital Platform, Principal
Read straight from Aia's careers page, verified 4d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationHong Kong, HK-AIA Hong Kong & Macau
Typefull-time
SeniorityLead
DepartmentEngineering
Company size10,000+ people
PostedOct 30, 2026 · 1w ago
Verified live4d ago
At a glanceSummarised by Seekless from the posting.
Lead end-to-end solution design and clearly explain when to use deterministic software, workflow automation, RAG, an AI agent or multi-agent approach
Design and hands-on implement LLM-powered applications and agentic workflows using tool/function calling, structured outputs, state, memory, routing and human-in-the-loop controls where appropriate
Build production RAG solutions covering ingestion, chunking, embeddings, vector/hybrid retrieval, metadata filtering, reranking, grounding and traceability
Ensure seamless interoperability across the AI solutions with existing platforms, workflow engines and digital channels
Convert prototypes into secure, scalable and maintainable production services, and personally implement critical/reference components
Develop custom workflows using tool-enabled agents
Establish sound software engineering practices for Python/backend services, APIs, automated testing, error handling, resilience and release management
Ensure scalability, reliability, and maintainability
Ensure all deliverables comply with established corporate governance standards and policies, and drive the governance review and approval process through to successful sign-off
Define measurable acceptance criteria and evaluation datasets
Build automated evaluation/regression pipelines covering task success, retrieval quality, safety, latency and cost
Implement end-to-end tracing, structured logging and metrics for prompts, retrieval, agent/tool execution, failures, token usage and model performance
Establish prompt/configuration versioning, release gates, rollback and continuous-improvement practices using production feedback
Maintain sufficient hands-on engineering capability to support solution development
Embed a customer first mindset in all decisions and actions
Skills
Python
RAG
LLM
APIs
AI agents
GenAI
workflow automation
vector databases
Innovate and shape what comes next.
At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.
Join us to create what comes next, grow through new experiences and extend your impact across Asia.
About the Role
This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society. The role holder is expected to embed a customer first mindset in all decisions and actions by developing a clear understanding of customer needs, taking end to end ownership to resolve issues, and working collaboratively across teams to continuously enhance the customer journey—both directly and indirectly.
Lead the design, delivery and adoption of AI-powered solutions and digital platforms for Agency business. Drive the evaluation, architecture and implementation of innovative technology solutions, including GenAI, intelligent automation, mobile applications and web portals, ensuring alignment with business objectives and enterprise technology standards.
Provide technical leadership across the solution lifecycle, from ideation and architecture to implementation and operational support. Maintain sufficient hands-on engineering capability to support solution development, technical troubleshooting, prototyping and delivery activities when required.
Roles and Responsibilities:
Application Delivery, Development, Architecture Design/Implementation (70%)
AI Solution Architecture & Agentic Engineering
•
Lead end-to-end solution design and clearly explain when to use deterministic software, workflow automation, RAG, an AI agent or multi-agent approach
•
Design and hands-on implement LLM-powered applications and agentic workflows using tool/function calling, structured outputs, state, memory, routing and human-in-the-loop controls where appropriate
•
Build production RAG solutions covering ingestion, chunking, embeddings, vector/hybrid retrieval, metadata filtering, reranking, grounding and traceability
•
Ensure seamless interoperability across the AI solutions with existing platforms, workflow engines and digital channels
Application Delivery, Development & Deployment
•
Convert prototypes into secure, scalable and maintainable production services, and personally implement critical/reference components.
•
Develop custom workflows using tool-enabled agents
•
Establish sound software engineering practices for Python/backend services, APIs, automated testing, error handling, resilience and release management
•
Ensure scalability, reliability, and maintainability
•
Ensure all deliverables comply with established corporate governance standards and policies, and drive the governance review and approval process through to successful sign-off.
Evaluation, Observability & Optimization
•
Define measurable acceptance criteria and evaluation datasets
•
Build automated evaluation/regression pipelines covering task success, retrieval quality, safety, latency and cost
•
Implement end-to-end tracing, structured logging and metrics for prompts, retrieval, agent/tool execution, failures, token usage and model performance
•
Establish prompt/configuration versioning, release gates, rollback and continuous-improvement practices using production feedback