A well-established single-family office in Hong Kong is seeking a versatile and highly capable AI Engineer to drive the adoption of artificial intelligence and automation across the office's operations, investment support, and family lifestyle functions. This is a hands-on, broad-ranging role ideal for someone who thrives in a lean, high-trust environment and can wear multiple hats — from building models to integrating systems to training non-technical users.
The successful candidate will work closely with the Principal, executives, and external advisors to identify opportunities where AI can enhance efficiency, insight, and decision-making — while maintaining the highest standards of confidentiality and discretion.
Key Responsibilities
- Identify, evaluate, and prioritise AI and automation opportunities across the family office
- Design and build end-to-end AI solutions, from data pipeline to deployment
- Translate business needs into technical requirements and actionable roadmaps
- Stay current with emerging AI tools, models, and best practices
- Develop, fine-tune, and deploy machine learning and LLM-based applications
- Build and maintain data pipelines, ETL processes, and data warehouses
- Implement RAG (Retrieval-Augmented Generation) systems and knowledge bases
- Conduct model evaluation, monitoring, and continuous improvement
Automation & Integration
- Automate repetitive workflows across admin, HR, reporting, and operations
- Integrate AI tools with existing systems (e.g. Microsoft 365, SharePoint, CRM, reporting dashboards)
- Build internal tools, chatbots, and assistants to support staff and family needs
- Work with external vendors and platforms where required
Data & Analytics
- Structure and manage internal data for AI-readiness
- Build dashboards and reports to support decision-making
- Ensure data quality, security, and compliance with privacy standards
- Support investment and operational teams with data-driven insights
Governance, Security & Training
- Establish AI governance, usage policies, and ethical guidelines
- Ensure confidentiality and data security across all AI implementations
- Train and upskill staff on AI tools and best practices
- Act as the office's go-to expert on all things AI
Key Requirements
- Experience: 5+ years in AI, machine learning, or data engineering roles, ideally with exposure to lean or high-trust environments
- Technical Breadth:
- Proficiency in Python and common ML/AI frameworks (e.g. PyTorch, TensorFlow, Hugging Face)
- Experience with LLMs, prompt engineering, and RAG architectures
- Familiarity with automation tools (e.g. Power Automate, Zapier, n8n)
- Full-Stack Mindset: Comfortable moving between data, models, deployment, and user-facing tools
- Business Acumen: Able to translate technical concepts for non-technical stakeholders
- Discretion: Proven ability to handle highly confidential information with integrity
- Communication: Excellent written and verbal skills; fluency in English required, Cantonese and Mandarin advantageous
- Self-Starter: Comfortable working autonomously in a small, fast-moving team
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- Experience in financial services, family offices, or professional services
- Familiarity with Microsoft Azure, AWS, or Google Cloud AI services
- Exposure to cybersecurity and data privacy best practices
- Portfolio of AI projects or contributions to open-source work
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