AI Architecture Specialist

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

As an AI Architecture Specialist, this role will be a hands-on and delivery-focused, supporting the design, build, and implementation of AI solutions across AI, digital, data, and cloud environments. The role will work closely with architects, engineers, and project teams to help develop practical solutions, contribute to standards and reusable components, and support technical documentation and implementation activities. With guidance from senior team members, the role will gain exposure across different architecture domains and help translate solution designs into workable implementation plans. The role is also responsible for contributing to team delivery, ensuring assigned solutions follow enterprise and IT standards, and continuously building technical knowledge in AI architecture and related technologies.

Roles and Responsibilities:

- Support the design and implementation of AI and GenAI solutions for enterprise use cases, including solution architecture, application integration, data flows, model integration, and deployment patterns.

- Build and prototype AI/GenAI solutions hands-on , including proof-of-concepts using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, vector databases, and cloud AI services.

- Support the development of enterprise AI platforms and reusable architecture components , including model gateways, prompt management, knowledge retrieval, orchestration, observability, security controls, and integration patterns.

- Work with data scientists, AI/ML engineers, software engineers, and application teams to integrate AI models and GenAI services into enterprise applications and production environments.

- Assist in designing data ingestion and processing pipelines required for AI solutions, including document ingestion, data preparation, embeddings, vector indexing, retrieval, and model inference.

- Perform technical evaluation and experimentation on AI technologies, models, frameworks, and platforms. Document findings and recommend appropriate approaches based on functionality, scalability, security, cost, and operational requirements.

- Support AI solution architecture assessments and reviews , working with Enterprise Architects, Solution Architects, Cybersecurity, Data, Cloud, Infrastructure, and other subject matter experts.

- Develop and maintain architecture documentation , including solution diagrams, data flows, integration designs, architecture decision records, technical standards, implementation patterns, and reusable architecture building blocks.

- Support troubleshooting and optimization of AI solutions , including model integration, prompts, RAG pipelines, APIs, application performance, data quality, monitoring, and production deployment issues.

- Apply responsible AI, security, privacy, and regulatory requirements throughout solution design and implementation, ensuring AI solutions follow company architecture standards and applicable Hong Kong requirements.

- Contribute to AI architecture standards and best practices , capturing lessons learned from projects and developing reference implementations, reusable patterns, templates, and technical guidance for development teams.

- Continuously explore emerging AI technologies through hands-on experimentation and share practical findings, prototypes, and recommendations with the Architecture and Technology teams.

Minimum Job Requirements:

- Educated to degree level standard or above in information technology, computer science, engineering, or relevant field

- 4+ years in an architect / engineer / specialist role ideally with insurance and/or health provider industry experiences

- 2+ years of hands-on experience in AI architecture design and implementation for large-scale enterprise AI solutions

- Experience influencing solution direction and standard adoption using architecture capability, building blocks, strategies and roadmaps

- Experience work in complex IT environments, and able to prioritize and plan complex work in a rapidly changing context

- Team player with experience leading and collaborating cross-team to ensure successful delivery of solutions

- Experience with LLM integration, prompt engineering, and AI model governance. (E.g. RAG, AI data capture, Agentic AI, MCP protocol)

- Familiarity with insurance-specific GenAI applications (e.g., policy summarization, chatbot assistants, fraud detection).

Others:

- You are required to obtain the relevant license(s) if your job involves regulated activities

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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