Amazon Artificial General Intelligence (AGI) is looking to solve complex problems and create new products, features, and services by leveraging modern technology and AI innovation, specifically with Amazon Nova and foundational capabilities for AI agents.
Requirements
- Experience programming with at least one modern language such as Java, C++, or C-Sharp including object-oriented design
- Experience with AI/ML technologies
- Previous technical internship(s) or demonstrated project experience
- Strong problem-solving and analytical skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)
Responsibilities
- Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
- Participate in code reviews and contribute to technical documentation.
- Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
- Write clean, maintainable code following best practices and design patterns.
- Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
- Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
Other
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
- Interns should not have conflicts such as classes or other employment during the Amazon work-day.
- Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
- Excellent written and verbal communication skills
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026
