Strategic AI Architect for Enterprise GenAI & MLOps

Prudential Hong Kong Limited; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Prudential Hong Kong Limited seeks an experienced AI Solution Architect to lead end-to-end AI/GenAI architecture, ensuring scalable, secure designs aligned with enterprise standards. You will work with senior leaders to drive adoption and value realization across the business.

Flexibility in designing patterns for LangChain, LangGraph, RAG frameworks, and modern AI ecosystems, with Cloud (Azure) and data governance awareness. Strong governance and responsible AI expertise required.

Qualifications

• 5-7+ years in AI, data, or enterprise architecture roles.
• Proven leadership in AI discovery and architecture engagements with stakeholders.
• Experience delivering enterprise AI/GenAI solutions from concept to implementation.

Responsibilities

• Engage senior business leaders to uncover AI opportunities.
• Advise on AI strategy and adoption within the organization.
• Build business cases and demonstrate value realization of AI initiatives.
• Envision architecture and adoption strategy for AI solutions.
• Design end-to-end AI/ML/GenAI architectures that are scalable and secure.
• Define patterns, reference designs and reusable AI capabilities for enterprise use.
• Lead solution design for Agentic AI, RAG, MCP servers and Model APIs.
• Define best practices for AI deployment, MLOps, LLMOps and lifecycle management.
• Drive standardization of AI design patterns and development methodologies.

Skills

AI architecture

Generative AI

LLMs

LangChain

RAG frameworks

MLOps

Cloud platforms (Azure)

Data architecture

APIs

Education

Master's or Bachelor's in CS/IT/Engineering

Tools

LangChain

LangGraph

Databricks

MLFlow

MCP servers

Job description

Prudential Hong Kong Limited seeks an experienced AI Solution Architect to lead end-to-end AI/GenAI architecture, ensuring scalable, secure designs aligned with enterprise standards. You will work with senior leaders to drive adoption and value realization across the business.

Flexibility in designing patterns for LangChain, LangGraph, RAG frameworks, and modern AI ecosystems, with Cloud (Azure) and data governance awareness. Strong governance and responsible AI expertise required.