Head of Data / AI

We are seeking a hands-on technical leader to drive our AI strategy and build enterprise-grade AI capabilities from the ground up. You will architect and deliver scalable AI platforms, lead a talented team, and translate business needs into production AI solutions that create measurable value.

This is a leadership position for a technical expert who combines deep AI expertise with a strong delivery focus and the ability to operate effectively in a regulated environment.

Responsibilities:

1. AI / Data Platform Architecture & Development

• Lead the design, development, and scaling of robust AI/ML platforms and infrastructure (on-premises and hybrid).

• Drive MLOps, LLMOps, and AgentOps practices to accelerate model development, deployment, and lifecycle management.

• Deploy, optimize, and scale Large Language Model (LLM) and agent workflows with a focus on performance, cost, reliability, and observability.

• Develop, optimise, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and loading from internal systems, external feeds, and market data sources.

• Architect and implement a modern data warehouse / Lakehouse, including data modelling standards, dimensional modelling, and performance optimisation.

• Collaborate with AI and business teams to deliver clean, feature-ready data for models, RAG systems, and decision-making use cases.

• Fine-tune models, design robust evaluation and monitoring systems, and implement multi-agent architectures with appropriate guardrails.

• Evaluate emerging technologies, lead proof-of-concept initiatives, and implement Infrastructure-as-Code (Kubernetes, etc.).
  

2. Team Leadership & Business Alignment

• Build, mentor, and lead a high-performing AI solution team.

• Champion the adoption of AI-assisted development practices across the organisation.

• Serve as the key bridge between business stakeholders and technical teams, translating requirements into deliverable AI initiatives.

• Actively contribute hands-on through architecture reviews, solution design, and critical implementation work.
  

3. Infrastructure, Operations & Governance

• Ensure high availability, performance, and cost-efficiency of AI infrastructure.

• Maintain secure, compliant, and repeatable deployment processes in line with regulatory standards.

• Manage operational excellence, incident response, and continuous improvement of AI platforms.

Requirements:

• Bachelor or Master degree in Computer Science, Data Engineering, or a related discipline.

• 5+ years of software engineering experience with at least 2 years focused on building and scaling AI/ML platforms and infrastructure.

• Strong recent hands-on expertise in LLMs, generative AI, RAG pipelines, and agentic systems.

• Proven experience with MLOps/LLMOps practices, containerisation (Docker), orchestration (Kubernetes), and Infrastructure-as-Code.

• Proficiency in Python and modern AI frameworks (PyTorch, Hugging Face, etc.).

• Experience working in financial services or other regulated industries.

• Excellent communication skills and fluency in both English and Chinese (written and spoken).

This role offers the opportunity to shape the future of AI within a dynamic financial services organization and deliver solutions that drive real business impact.

Please send your resume to the Group Human Resources Manager (email: recruit@quamgroup.com). (Please quote the job reference number on the email subject line.)

Personal Data collected will be used for recruitment purposes only.