Agency Digital Platform, Principal

AIA (Vietnam) Life Insurance; Hong Kong; Sur place; HKD 1 200 000 - 1 500 000; Plein temps

Résumé du poste

AIA invites talented engineers to join our Asia-focused AI practice to deliver innovative, reliable AI-powered solutions for Agency business. You will lead architecture, oversee delivery, and drive adoption of GenAI, automation, and digital platforms across channels.

You will design scalable Python services, implement LLM-powered workflows, ensure governance and security, and collaborate across teams to create measurable customer impact.

Qualifications

• Experience delivering AI-powered solutions.
• Knowledge of GenAI and automation is a plus.
• Ability to lead architecture decisions across lifecycle.

Responsabilités

• Lead end-to-end AI 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

Connaissances

AI architecture

LLM integration

Python

API design

Observability

LangChain

Outils

LangChain

TensorFlow

Docker

Description du poste

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

System Support and Technical Advices (30%)

System Support and BAU Maintenance

• Provide system support for existing applications as well as and BAU maintenance after project transition
• Ensure all AIA HK TDA project and BAU deliverables are maintained in compliance with AIA Group Security and other standards
• Ensure deliverables and systems comply with all applicable standards and guidelines
• Monitor and ensure the ongoing scalability, reliability, performance, and maintainability of digital platforms and applications
• Perform other responsibilities and duties assigned by managers to meet business objectives

AI Security, Governance & Enterprise Readiness

• Control for data privacy, least-privilege tool access, secrets management, prompt-injection/data-exfiltration risks, content safety, auditability and human oversight
• Partner with architecture, cyber security, risk/compliance and data teams to ensure solutions meet enterprise governance and regulatory requirements
• Ensure production readiness for availability, resilience, supportability and operational ownership

Field-to-Product Feedback Loop

• Translate business challenges into structured, testable AI use cases and product requirements
• Turn deployment learnings into reusable libraries, modules, reference architectures and engineering standards
• Challenge "AI-first" approaches when conventional engineering provid