IT Principle Architect-Data and AI Architect, China

JOB PURPOSE

Data & AI Architect reports to China Enterprise Architect Director. This role is primarily focused on enterprise data platform architecture for China, covering platform capability design, platform standardisation, governed data products, data integration patterns, together with agentic AI enablement on top of the data platform. The role drives alignment between China local data platform and global reference data AI platforms, and delivers justified local adaptations to satisfy China specific data regulatory and business requirements. The senior architect contributes to enterprise architecture governance, leads architecture reviews for complex data platform and AI enabled initiatives.

DUTIES & RESPONSIBILITES1. Enterprise Data Platform Architecture & Standards

• Define governed enterprise data‑platform architecture, platform capability blueprint, reusable data products, data integration patterns, and agentic‑AI enablement patterns built upon China data platforms.
• Establish local data‑platform architecture standards, platform component selection guidelines, data governance principles and operational guardrails, balancing global enterprise framework and China regulatory constraints.
• Produce data‑platform architecture diagrams, platform component specifications, data‑product definitions and architecture decision records for both local and global stakeholders.

2. Enterprise AI Solution Architecture

• Define end-to-end architectures for enterprise AI solutions, including model access, retrieval-augmented generation (RAG), agent orchestration, tool integration and connections to enterprise applications and governed data services.

• Establish architecture patterns and guardrails for AI evaluation, deployment, versioning and monitoring, addressing output quality, security, privacy, access control and human oversight in collaboration with relevant governance teams.

• Define architecture patterns for model training, fine-tuning and inference, including training data preparation, experiment tracking, model evaluation, deployment and lifecycle management, in collaboration with data science and machine learning engineering teams.

• Guide and validate AI solution optimisation across model selection, prompt design, retrieval quality, agent workflows and model fine-tuning where appropriate, balancing business outcomes, accuracy, reliability, latency and cost.

3. Global Alignment & China Localisation

• Drive alignment of China local data platform with global enterprise data‑AI reference platforms; design and document justified local adaptations for China‑specific data regulation, residency requirements and business needs.

4. Architecture Governance & Review

• Participate in enterprise architecture governance; lead architecture review for all major China data‑platform, data product and AI‑enabled projects.