AI Data Architect - GenAI & Cloud Data Solutions

AIA Hong Kong and Macau; Hong Kong Island; On-site; HKD 800,000 - 1,100,000; Full time

Job summary

A leading insurance organization in Hong Kong is looking for an AI Data Architect to design and implement optimized data architectures for cloud platforms. This role involves developing advanced AI solutions while ensuring data governance and compliance with industry standards. The ideal candidate should have over 10 years of experience in data architecture, particularly within the insurance sector, and expertise in machine learning and cloud environments. The position promises a chance to lead innovative transformations in a crucial area of digital health.

Qualifications

• 10+ years in a data architect role, preferably with insurance or health providers.
• 4+ years of hands-on experience in AI Data architecture design for enterprise solutions.
• Experience with LLM integration and AI model governance.

Responsibilities

• Develop AI data architecture strategies and create data architecture roadmaps.
• Design architecture for data ingestion and scaled model computation.
• Troubleshoot issues related to machine learning model deployments.

Skills

AI Data architecture

Cloud platforms (Azure preferred)

Data Governance

Machine learning algorithms

Data visualization/analytic tools

Team collaboration

Education

Degree in information technology, computer science, engineering

Tools

Python

Azure Data Lake

Tableau

Azure ML

SQL Server

Job description

A leading insurance organization in Hong Kong is looking for an AI Data Architect to design and implement optimized data architectures for cloud platforms. This role involves developing advanced AI solutions while ensuring data governance and compliance with industry standards. The ideal candidate should have over 10 years of experience in data architecture, particularly within the insurance sector, and expertise in machine learning and cloud environments. The position promises a chance to lead innovative transformations in a crucial area of digital health.