AI Architect Intern - GenAI & RAG in Tech Architecture

OCBC Bank; Singapore; On-site; SGD 20,000 - 33,000; Part time

Benefits offered by this job

Competitive internship compensation

Benefits package

Learning & development opportunities

Wellbeing support

Job summary

OCBC Bank in Singapore seeks an intern to help build agentic AI solutions within enterprise architecture and technology operations. You’ll work with experienced architects to design AI-powered capabilities and learn how AI decisions are shaped across the bank.

The role focuses on hands-on GenAI development, RAG implementations, and collaborating across teams to translate ideas into practical AI workflows while gaining exposure to financial services technology.

Qualifications

• Pursuing or completed degree in Computer Science, Information Systems, Engineering, or Data Science.
• Strong interest in Generative AI and LLMs.
• Familiar with GenAI tools such as Copilot or ChatGPT.
• Working knowledge of Python for development or data projects.
• Understanding of Retrieval-Augmented Generation (RAG) concepts.

Responsibilities

• AI agent development for architecture and operations.
• Support solution design with AI capabilities.
• Develop and optimise RAG solutions to improve knowledge access.
• Prototype GenAI capabilities to address business and technology challenges.
• Automate and streamline architecture workflows with AI-driven solutions.
• Collaborate with architects, engineers and stakeholders to gather requirements.
• Support ad-hoc technology architecture projects.

Skills

Generative AI

LLMs

Python

Education

Undergraduate/Graduate/Postgraduate in CS/IS/Engineering/Data Science

Tools

Microsoft Copilot

ChatGPT

Job description

OCBC Bank in Singapore seeks an intern to help build agentic AI solutions within enterprise architecture and technology operations. You’ll work with experienced architects to design AI-powered capabilities and learn how AI decisions are shaped across the bank.

The role focuses on hands-on GenAI development, RAG implementations, and collaborating across teams to translate ideas into practical AI workflows while gaining exposure to financial services technology.