Are you a Senior AI & Data Architect looking to lead enterprise-scale GenAI innovation across Asia? A premier multinational financial institution in Hong Kong is seeking a technical leader to build scalable data ecosystems, deploy Agentic AI, and steer HKMA-compliant AI frameworks within their centralised Center of Excellence.
about the company.
Our client is a premier multinational financial institution with a century-long legacy in Asia. Undergoing a major digital transformation, they are building next-generation digital ecosystems across life, health, and wellness solutions to deliver seamless, technology-driven experiences across the region.
about the team.
You will join a high-performing, centralised Innovation & Data Science Center of Excellence (CoE). The team brings together cross-functional experts in artificial intelligence, machine learning, and cloud technology who are dedicated to pioneering scalable, high-performance enterprise data architectures for advanced digital platforms.
about the job.
- Establish structural roadmaps, foundational blueprints, and governance frameworks to support enterprise AI/ML and Agentic AI technology stacks.
- Lead end-to-end architecture design for data ingestion, feature store preparation, real-time preprocessing, and large-scale model orchestration under strict SLAs.
- Translate strategic business goals into technical architecture specifications while aligning domain roadmaps with Enterprise Architecture and IT Delivery teams.
- Resolve complex bottlenecks in ML model deployments, pipeline scalability, distributed data processing, and cloud platform integrations.
- Enforce ethical AI practices, robust data security, and local regulatory compliance (including HKMA and IA standards) across all AI workflows.
skills & experience required.
- Bachelor’s degree or above in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
- 10+ years of professional data architecture experience, ideally within insurance, wealth management, or healthcare sectors, with proven leadership abilities.
- 4+ years of direct experience designing and deploying large-scale enterprise AI/ML and GenAI infrastructure.
- Hands-on exposure to the LLM stack, including RAG architectures, Agentic AI, prompt engineering workflows, model governance, and MCP protocols.
- Deep technical experience with Azure cloud environments, modern data lakes, Databricks, NoSQL databases, and relational platforms (Azure SQL, Oracle).
- Proficiency in Python or R for ML pipelines, paired with enterprise analytics platforms such as Power BI or Tableau.
- Strong cross-functional influence to steer engineering and business teams through fast-moving enterprise environments.
If you are interested in this role, please click 'Apply Now' or send your CV directly to Allison.lin@randstad.com.hk.
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