AI Strategy & Architecture Lead

Our client is seeking an experienced AI leader to shape and deliver high-impact AI solutions across the organization. This role will bridge business strategy enterprise architecture data and technology delivery identify priority opportunities and converting them into secure scalable and measurable AI products.

The successful candidate will lead the end-to-end lifecycle of AI initiatives from use-case discovery and value assessment through solution design production deployment governance adoption and scale-up. The scope may include Generative AI AI agents machine learning intelligent automation analytics and AI-enabled customer or employee experiences.

• Define the enterprise Applied AI strategy target architecture technology roadmap standards and investment priorities in partnership with business and technology leadership.
• Identify evaluate and prioritize AI use cases based on strategic alignment feasibility data readiness regulatory requirements expected value and adoption potential.
• Translate complex business needs into clear solution requirements operating models delivery road maps and measurable success criteria.
• Lead the development and delivery of AI proof-of-concepts MVPs pilots and production-scale solutions with engineering data product risk security and business teams.
• Define patterns for GenAI applications including copilots knowledge assistants AI agents document intelligence personalized engagement and process automation.
• Establish Responsible AI and AI governance practices covering privacy security model risk human oversight quality assurance and ongoing performance monitoring.
• Assess build-versus-buy options; evaluate AI platforms cloud services models
• Develop adoption plans including process redesign user training change management communications and benefits-realization tracking.

• Bachelors degree in Computer Science Engineering Data Science Information Systems or a related discipline; postgraduate qualifications are advantageous.
• 10 years of experience in technology data digital transformation product architecture consulting or related leadership roles including significant experience delivering AI or data-driven solutions.
• Demonstrated experience taking AI machine-learning GenAI or automation products from concept through production implementation.
• Good knowledge of modern AI architectures and practices including LLMs RAG vector databases prompt engineering AI agents model evaluation MLOps/LLMOps APIs cloud platforms and data integration.
• Experience in enterprise architecture solution design security data governance risk management and technology operating models.
• Ability to communicate complex technical matters clearly to senior business stakeholders executive committees and non-technical users.
• Strong commercial judgment including use-case prioritization business-case development vendor evaluation and value/ROI measurement.
• Proven experience leading multidisciplinary teams and navigating complex regulated or large-scale enterprise environments.
• Knowledge of sector-specific regulatory privacy and model-risk requirements is preferred where relevant.
• Good command in English and Cantonese