GenAI & Enterprise Architecture Intern

OCBC Group

Singapore

Hybrid

SGD 17,000 - 28,000

Full time

12 days ago
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Benefits offered by this job

Competitive base salary
Professional development opportunities

Job summary

OCBC Group is offering an Technology Architecture Intern role in Singapore, focusing on building agentic AI solutions, RAG-based knowledge management, and AI-powered workflows. You will collaborate with architects and engineers, learning enterprise architecture practices while applying GenAI on real bank challenges.

Ideal candidates are pursuing STEM degrees, curious about AI, and capable with Python programming.

Qualifications

  • Pursuing/holding a STEM degree in CS/IS/Engineering/Data Science.
  • Interest in Generative AI and LLMs; familiar with GenAI tools.
  • Proficient in Python and basic AI architecture concepts.

Responsibilities

  • AI Agent Development: design and enhance agentic AI solutions for architecture and ops use cases.
  • Solution Design Support: build AI-powered capabilities for architects in design and decision making.
  • Knowledge Management & RAG Implementation: develop Retrieval-Augmented Generation solutions to improve access to architecture knowledge.
  • Prototyping & Experimentation: research and prototype GenAI capabilities and tools to address challenges.
  • Process Improvement: identify opportunities to automate architecture and operational workflows with AI.
  • Collaboration & Innovation: work with architects, engineers and stakeholders to gather requirements and test solutions.
  • Ad-hoc Projects: support other technology architecture initiatives as needed.

Skills

GenAI interest
Analytical thinking
Teamwork

Education

Relevant STEM degree

Tools

Python
GenAI platforms
RAG tooling

Job description

OCBC Group is offering an Technology Architecture Intern role in Singapore, focusing on building agentic AI solutions, RAG-based knowledge management, and AI-powered workflows. You will collaborate with architects and engineers, learning enterprise architecture practices while applying GenAI on real bank challenges.

Ideal candidates are pursuing STEM degrees, curious about AI, and capable with Python programming.

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