Cloud AI & Automation Engineer Intern

Autodesk Asia Pte Ltd; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Autodesk Asia Pte Ltd in Singapore seeks a Cloud, AI & Automation Intern to help build secure, scalable cloud-native services and AI-enabled automation. You will work with experienced engineers on real-world projects, developing APIs, automation tools, and AI-assisted software development.

The role emphasizes hands-on learning with Generative AI, LLMs, and modern DevOps practices, across localization workflows and cloud operations, with collaboration across a multicultural team.

Qualifications

• Enrolled in a Bachelor's program, graduating 2027 or 2028.
• Familiar with at least one programming language (Python/Java/JavaScript).
• Basic understanding of software dev concepts and cloud tech.
• Interest in AI/ML, Generative AI, cloud computing, automation.
• Strong analytical and learning skills; ability to learn independently.
• Internship dates: 11 January – 25 June 2027.

Responsibilities

• Assist design, development, testing, and deployment of cloud-native services and APIs.
• Develop automation to improve engineering and operational efficiency.
• Explore AI/ML and Generative AI solutions for use cases.
• Use AI-assisted tools for coding, testing, and documentation.
• Support integration of cloud services, APIs, and automation frameworks.
• Collaborate to identify opportunities where AI can improve processes.
• Monitor and troubleshoot cloud services and workflows.

Skills

Python

Java

JavaScript

Cloud basics

AI/ML interest

Education

Bachelor's degree in CS/CE or related field

Tools

AWS

AWS Lambda

API Gateway

Docker

Git

Job description

Autodesk Asia Pte Ltd in Singapore seeks a Cloud, AI & Automation Intern to help build secure, scalable cloud-native services and AI-enabled automation. You will work with experienced engineers on real-world projects, developing APIs, automation tools, and AI-assisted software development.

The role emphasizes hands-on learning with Generative AI, LLMs, and modern DevOps practices, across localization workflows and cloud operations, with collaboration across a multicultural team.