Lead end-to-end architecture and technical design for strategic AI, Generative AI, Analytics and Data solutions.·
Translate business needs into practical architectures aligned with enterprise technology, security, data and Group standards.
Develop and maintain reference architectures, reusable patterns, design principles and architecture documentation.
Assess solution options, dependencies and technical trade-offs, and communicate clear recommendations to stakeholders.
Provide architecture oversight from discovery and proof of concept through integration, production and ongoing optimisation.
AI, Machine Learning & Generative AI
Design enterprise solutions involving machine learning, Large Language Models, Retrieval-Augmented Generation, natural language processing and intelligent automation.
Define patterns for agentic AI, including orchestration, memory, tool integration, access control, monitoring and human oversight.·
Guide the selection of models, vector databases, model APIs, orchestration frameworks and build-buy-partner approaches.·
Establish practices for grounding, prompt management, evaluation, content safety, response quality and model lifecycle management.
Data & Platform Architecture
Define data sourcing, ingestion, transformation, storage, access and integration requirements for AI and Analytics solutions.·
Partner with Data Foundation and Technology teams to design trusted data products, APIs and reusable platform services.·
Shape PCALT's AI and Data platform roadmap, including sandbox, development, test, deployment, monitoring and production capabilities.·
Evaluate new platforms and tools based on business value, technical fit, security, cost and operational sustainability.
Engineering Standards & Delivery Enablement
Establish standards for AI SDLC, MLOps, LLMOps, testing, deployment, monitoring, observability and lifecycle management.·
Provide technical guidance to AI engineers, data scientists, data engineers and delivery partners.·
Conduct architecture and design reviews, resolve complex integration and scalability issues, and ensure production readiness.·
Promote reusable components, deployment automation, source control, technical documentation and disciplined engineering practices.
Security, Governance & Responsible AI by Design
Embed security, privacy, technology risk, model governance and Responsible AI requirements from the start of solution design.·
Partner with Governance, Risk, Compliance, Legal and Information Security teams to assess and mitigate technical and regulatory risks.·
Define controls for identity, access, sensitive data, audit logging, third-party connectivity, monitoring and human review.·
Support governance reviews, vendor assessments, audits and regulatory enquiries with clear technical evidence and documentation.
Business Engagement, Innovation & Technical Leadership
Facilitate discovery and solution design workshops with business, product, Data & AI and Technology stakeholders.·
Assess use cases for value, technical feasibility, data readiness, complexity and risk, and support business-case development.·
Research emerging AI, data and cloud technologies and recommend controlled adoption where relevant to PCALT priorities.·
Serve as trusted technical advisor to the Chief Data & AI Officer and provide mentorship across the Data & AI community.·
Collaborate with Group teams and strategic technology partners while communicating complex concepts clearly to technical and non-technical audiences.
Who We Are Looking For
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology or a related discipline.
At least 10 years of experience in solution architecture, enterprise architecture, AI engineering, data architecture or software engineering.
Proven experience designing and delivering enterprise AI, Generative AI, machine learning or data solutions from concept to production.
Strong knowledge of LLMs, RAG, agentic AI, vector search, model APIs, cloud-native integration, APIs and modern data architecture.
Working knowledge of MLOps, LLMOps, model evaluation, monitoring, cybersecurity, privacy and Responsible AI.
Experience with Microsoft Azure, Azure OpenAI or Azure AI Foundry, Databricks, MLflow and relevant AI frameworks is preferred.
Experience in insurance, financial services or another regulated industry, including familiarity with Taiwan requirements, is advantageous.
Excellent analytical, communication and stakeholder management skills, with the ability to balance strategic direction and hands-on technical engagement.
Proficiency in English and Mandarin Chinese for collaboration with local and regional stakeholders.
Success Profile
Establish clear architecture standards that improve the consistency, scalability, security and maintainability of PCALT AI and Data solutions.
Enable delivery teams to move efficiently from discovery and experimentation into controlled production deployment.
Increase reuse of platforms, patterns, data products and technical components while strengthening collaboration across business, Data & AI, Technology and governance teams.
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
