26WD100997
Position Overview
The Localization team is seeking a motivated and curious Cloud, AI & Automation Intern to join our dynamic team. In this role, you will contribute to the development of cloud-native services, AI-enabled solutions, and intelligent automation, with a focus on building secure, resilient, scalable, and efficient systems.
This internship provides a unique opportunity to gain hands-on experience with cloud technologies, Generative AI and AI-assisted software development, automation, and modern DevOps practices. You will work alongside experienced professionals, contribute to real-world engineering projects, and explore how emerging AI technologies can improve software development, localization workflows, automation, and cloud operations.
On-site in-person recruitment drive starts from 9 October - 6 November 2026
Responsibilities
As part of the team, you will support the design, development, implementation, and operation of cloud and AI-enabled solutions.
- Assist in the design, development, testing, and deployment of cloud-native services, APIs, scripts, and automation tools
- Develop automation solutions to improve engineering and operational efficiency
- Explore and prototype AI/ML and Generative AI solutions for engineering and localization use cases
- Use AI-assisted development tools to support coding, testing, debugging, documentation, and automation
- Explore the use of Large Language Models (LLMs), APIs, and AI agents/workflows to solve practical engineering problems
- Support the integration of cloud services, APIs, AI capabilities, and automation frameworks
- Collaborate with team members to identify opportunities where AI and automation can simplify or improve existing processes
- Monitor, troubleshoot, and improve existing cloud services and automated workflows
- Contribute to automated testing, observability, security, and resiliency improvements
- Participate in technical discussions, design reviews, documentation, and knowledge-sharing activities
- Learn and apply modern DevOps, cloud security, responsible AI, and software engineering best practices
Minimum Qualifications
- Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, graduating in 2027 or 2028
- Foundational knowledge of at least one programming or scripting language, such as Python, Java, or JavaScript
- Basic understanding of software development concepts and exposure to cloud technologies
- Interest in AI/ML, Generative AI, cloud computing, and automation
- Strong analytical, problem-solving, and learning skills
- Ability to explore unfamiliar technologies and independently learn new concepts
- Ability to collaborate effectively in a diverse team environment
- Internship period: 11 January - 25 June 2027 (fixed dates)
Preferred Qualifications
- Programming & Development: Python, Java, JavaScript, Node.js, Angular
- Cloud & Serverless: AWS, AWS Lambda, Amazon S3, API Gateway, and other AWS services
- Generative AI & AI-Assisted Development: Large Language Models (LLMs), prompt engineering, Claude, Cursor, or similar AI development tools
- AI/ML: Basic understanding of machine learning, Generative AI, embeddings, Retrieval-Augmented Generation (RAG), or AI agents/workflows
- Databases & Data Platforms: SQL, Amazon RDS, Amazon DynamoDB, Snowflake
- Containers & DevOps: Docker, CI/CD, Git, infrastructure automation, monitoring, and DevOps practices
- Interest in exploring emerging technologies and applying AI, automation, and cloud-native approaches to real-world engineering challenges
Learning Benefits
During the internship, you will have opportunities to:
- Gain practical experience developing secure, scalable, and resilient cloud-native solutions
- Build practical understanding of Generative AI, LLMs, AI agents, and AI-enabled automation
- Learn how AI can be integrated responsibly into software engineering, localization, and operational workflows
- Gain experience using AI-assisted development tools for coding, testing, debugging, documentation, and prototyping
- Learn and apply modern DevOps and cloud engineering practices
- Gain hands-on experience with technologies such as AWS, Lambda, Docker, APIs, databases, and automation frameworks
- Learn about cloud monitoring, security, resiliency, automation, and operational excellence
- Experiment with emerging technologies through prototypes and proof-of-concept projects
- Work in a multicultural and technically diverse environment with colleagues across multiple geographic locations
- Collaborate with experienced engineers and gain exposure to real-world software engineering and cloud projects
#LI-AA1
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.