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Intern Aws Ai Jobs (NOW HIRING)

Intern - IT & Facilities Support

Boston, MA

$16.25 - $21.75/hr

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS ... Role: Intern - IT & Facility Support Experience Level: 1-2 years of experience (Internship or ...

Intern - IT & Facilities Support

Boston, MA · On-site

$16.25 - $21.75/hr

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS ... Role: Intern - IT & Facility Support Experience Level: 1-2 years of experience (Internship or ...

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... AWS, Azure, or Google Cloud * Git & GitHub What You''ll Gain * Hands-on experience building AI ...

Lead AI Platform Engineer

New York, NY · On-site

$112K - $147K/yr

Today, our internal AI assistant (OUTGPT, built on the Vercel AI SDK and AWS Bedrock) is moving ... Mentorship. Set the engineering bar for the AI & Automation pod (two engineers and an intern ...

Lead AI Platform Engineer

Fairfield, NJ · On-site

$104K - $137K/yr

Today, our internal AI assistant (OUTGPT, built on the Vercel AI SDK and AWS Bedrock) is moving ... Mentorship. Set the engineering bar for the AI & Automation pod (two engineers and an intern ...

Lead AI Platform Engineer

New York, NY · On-site

$112K - $147K/yr

Today, our internal AI assistant (OUTGPT, built on the Vercel AI SDK and AWS Bedrock) is moving ... Mentorship. Set the engineering bar for the AI & Automation pod (two engineers and an intern ...

The Opportunity We're seeking an AI Engineer Intern to work alongside our AI team on large-scale AI ... Nice to have, not required: familiarity with a cloud platform (AWS/GCP/Azure), Docker, or a model ...

$18.50 - $24.50/hr

As a Gen Ai developer Intern you will be trained to deliver a POC/POT/MVP by designing, developing ... Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • ...

$18.50 - $24.25/hr

As a Gen Ai developer Intern you will be trained to deliver a POC/POT/MVP by designing, developing ... Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • ...

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

As a Gen Ai developer Intern you will be trained to deliver a POC/POT/MVP by designing, developing ... Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • ...

SAP iXp Intern - AI Engineer

Naperville, IL

$16.75 - $21.75/hr

SAP iXp Intern - AI Engineer Intern (Customer Success) Location: Naperville, IL Internship Duration ... Exposure to cloud platforms (SAP BTP, Azure, GCP, or AWS), containers (Docker), and CI basics.

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Intern Aws Ai information

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How much do intern aws ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for intern aws ai in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an AWS AI intern?

To thrive as an AWS AI Intern, you generally need a solid grounding in computer science fundamentals, programming (often Python), and familiarity with machine learning concepts, typically supported by enrollment in or completion of a relevant degree program. Experience with AWS services (like SageMaker or Lambda), cloud platforms, and knowledge of AI/ML frameworks such as TensorFlow or PyTorch are highly valued. Strong analytical thinking, problem-solving skills, and effective communication set standout interns apart. These competencies are crucial for successfully contributing to technical projects, collaborating with teams, and adapting to the fast-evolving cloud AI landscape.

What does an AWS AI intern do?

An AWS AI Intern typically assists with projects involving artificial intelligence and machine learning on Amazon Web Services (AWS) platforms. Their responsibilities may include data preprocessing, developing machine learning models, testing AI algorithms, and collaborating with engineering teams to deploy solutions. Interns gain hands-on experience with AWS AI tools such as SageMaker, Lex, and Rekognition, while also learning best practices for cloud-based AI development. This role provides valuable exposure to real-world AI applications and the latest cloud technologies.

What types of projects can an AWS AI intern expect to contribute to during their internship?

As an AWS AI Intern, you can expect to work on a variety of hands-on projects involving machine learning model development, data analysis, or the integration of AI services into existing cloud platforms. Interns often assist with prototyping AI-driven solutions, optimizing data pipelines, or supporting the deployment of machine learning models using AWS tools like SageMaker. You'll likely collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world challenges and cloud-based AI workflows. This experience is valuable for building both technical proficiency and teamwork skills in a fast-paced, innovative environment.
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What are the most commonly searched types of Aws Ai jobs? The most popular types of Aws Ai jobs are:
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Software Development Engineer Intern, AWS Data Services - Fall 2026 (US)

Amazon

Seattle, WA • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

By applying to this position, your application will only be considered for our Fall Software Development Engineer (SDE) internship roles in the Amazon Web Services (AWS) Data Services organization. Our Fall intern roles have start dates in Aug/Sept 2026 and are 12 weeks in duration.
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
AWS operates some of the world's most widely used database, storage, and analytics services. Our engineers solve challenges across distributed systems, query processing, storage engines, and data platforms at massive scale.
Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. 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.
We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States.
During your application, you will have the opportunity to highlight your expertise in one or more specialized areas. While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.
Key job responsibilities
• 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.
• 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.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
BASIC QUALIFICATIONS
- Are 18 years of age or older
- Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
- Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Able to work 40 hours/week and commit to a 12-week internship
- Expected conferral date between January 2027 - December 2029
PREFERRED QUALIFICATIONS
- Experience from previous technical internship(s) or demonstrated project experience
- Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US