MU
Mitsubishi UFJ Financial GroupSingapore

Data and AI Engineering Intern

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Programme

Internship

Location

Singapore

Duration

11 January 2027 – 30 June 2027

Deadline

2026-10-31

About the role

Join MUFG’s Infrastructure Engineering team in Singapore as a Data and AI Engineering Intern. You will help develop an AI-powered Operations Intelligence platform, analyze infrastructure operations, build generative-AI and retrieval solutions, integrate enterprise data, and improve how engineers access operational insights through collaboration tools.

Role

  • Support development of an AI-powered Operations Intelligence platform for infrastructure operations teams.
  • Work with Storage, Backup, Monitoring, and Infrastructure Operations teams to improve operational efficiency.

Operational Analysis

  • Understand infrastructure workflows, incident management processes, and troubleshooting methods with infrastructure engineers.
  • Analyze investigations involving alerts, incidents, backup failures, storage issues, and monitoring events.
  • Identify opportunities for AI to improve efficiency, knowledge retrieval, and operational decision support.
  • Document operational use cases and prioritize potential AI solutions.

AI, Data, and Platform Development

  • Develop proof-of-concept AI capabilities supporting infrastructure operations and engineering workflows.
  • Build workflows that summarize alerts and incidents and explain infrastructure events in plain language.
  • Provide contextual troubleshooting guidance and recommend relevant operational documentation and knowledge articles.
  • Experiment with Generative AI, Retrieval-Augmented Generation, prompt engineering, and operational intelligence techniques.
  • Integrate data from Commvault, Dell PowerScale, Dynatrace, ServiceNow, and internal documentation repositories.
  • Correlate information across systems to provide richer operational context.

User Experience

  • Assist in exposing AI capabilities through Microsoft Teams and other enterprise collaboration tools.
  • Improve the presentation of operational insights and recommendations to infrastructure engineers.
  • Help create intuitive user interactions supporting day-to-day operations.