Enterprise AI Architect: Strategy, Design & GenAI Solutions

Prudential plc; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Prudential plc is seeking an experienced AI Solutions Architect to lead the design of end-to-end AI, ML, and Generative AI solutions across enterprise platforms.

You will engage senior business leaders, build business cases, define architecture patterns, and drive adoption of MLOps, LLMOps, and responsible AI practices, with hands-on experience in LangChain, LangGraph, and cloud platforms.

Qualifications

• 5-7+ years of experience in AI, data, solution architecture, or enterprise architecture roles.
• Experience designing AI solution architectures for enterprise-scale deployments.
• Strong understanding of AI governance, security, compliance, and responsible AI principles.

Responsibilities

• Engaging senior business leaders to uncover opportunities.
• Advising stakeholders on AI strategy and adoption.
• Building business cases and demonstrating value realization.
• Responsible for solution envisioning, architecture design, and adoption strategy
• Design end-to-end AI, ML, and Generative AI solution architectures that are scalable, secure, and aligned with enterprise standards.
• Define architecture patterns, reference designs, and reusable AI capabilities for enterprise-wide adoption.
• Lead solution design for emerging AI technologies including Agentic AI, RAG architectures, MCP servers, Model APIs, and AI orchestration frameworks.
• Define best practices for AI solution deployment, MLOps, LLMOps, monitoring, and lifecycle management.
• Drive standardization of AI design patterns, architecture principles, and development methodologies.

Skills

AI strategy

AI governance

MLOps

LLMOps

LangChain

LangGraph

RAG frameworks

Databricks

MLFlow

Azure

GCP

APIs

Generative AI

NLP

Education

Master/Bachelor's in CS/Engineering/IT

Tools

MCP servers

LangChain

LangGraph

Job description

Prudential plc is seeking an experienced AI Solutions Architect to lead the design of end-to-end AI, ML, and Generative AI solutions across enterprise platforms.

You will engage senior business leaders, build business cases, define architecture patterns, and drive adoption of MLOps, LLMOps, and responsible AI practices, with hands-on experience in LangChain, LangGraph, and cloud platforms.