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Internship Aws Ai Jobs (NOW HIRING)

Capital One National Association

$179 - $225/hr

Lead Software Engineer (Python, AWS, AI, Snowflake Databricks) Do you love building and pioneering ... At least 4 years of experience in software engineering (Internship experience does not apply) * At ...

Jobtailor

WI · On-site

$110 - $185/hr

At least 4 years of experience in software engineering; internship experience does not apply * At least 1 year of experience with cloud computing, including AWS, Microsoft Azure, or Google Cloud

Amazon

Senior Software Engineer, AWS Agentic AI

Bellevue, WA · On-site

$138K - $182K/yr

This position within the AWS AI team presents a unique and rare opportunity to get in on the ground ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Miratech

Director, AWS Alliance and GTM

New York, NY · On-site +1

Strong understanding of Amazon Connect, AWS AI/ML services, cloud modernization, and CX ... internship opportunities. * Global Impact : collaborate on impactful projects for top global ...

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How much do internship aws ai jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for internship aws ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an AWS AI internship?

An AWS AI Internship is a temporary position designed for students or recent graduates to gain hands-on experience working with Amazon Web Services (AWS) in the field of artificial intelligence. Interns typically work on projects involving machine learning, data analysis, or AI-driven solutions using AWS platforms and tools. The internship provides exposure to real-world cloud computing environments, mentorship from experienced professionals, and opportunities to develop technical and professional skills. It's an excellent way for aspiring AI professionals to build their resumes and expand their knowledge of AWS technologies.

What types of projects can I expect to work on during an AWS AI internship?

As an AWS AI intern, you'll typically collaborate on projects involving machine learning model development, data preprocessing, and deploying AI solutions on AWS platforms. You may work with teams to build prototypes, automate workflows, or contribute to research tasks that support new AI services. Interns often have opportunities to interact with product managers, engineers, and data scientists, gaining exposure to real-world applications and the end-to-end AI development lifecycle. This hands-on experience is designed to help you build practical skills and make a meaningful impact within your team.

What are the key skills and qualifications needed to thrive as an AWS AI intern, and why are they important?

To thrive as an AWS AI Intern, you need a solid grounding in computer science, programming (Python or Java), and foundational knowledge of machine learning concepts, often supported by relevant coursework or a degree in a related field. Familiarity with AWS services (like S3, EC2, SageMaker), machine learning frameworks (such as TensorFlow or PyTorch), and cloud computing tools is typically expected. Strong analytical thinking, problem-solving ability, and effective communication skills help interns stand out when collaborating on projects and presenting findings. These skills are crucial for contributing to real-world AI solutions, adapting quickly to new technologies, and maximizing learning during the internship.

What is the difference between Internship Aws Ai vs Data Analyst?

AspectInternship Aws AiData Analyst
Required CredentialsBasic knowledge of AWS, AI concepts, some programming skillsBachelor's in Data Science, Statistics, or related field; often some certifications
Work EnvironmentTech companies, cloud service providers, AI startupsBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed in cloud computing, AI development, and machine learning projectsUsed for data interpretation, reporting, and decision-making

Internship Aws Ai focuses on gaining hands-on experience with AWS cloud services and AI tools, often in tech environments. Data Analysts analyze data to support business decisions. While both roles involve data and technical skills, internships are more learning-oriented, whereas Data Analysts are more focused on data interpretation and reporting.

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Internship Aws Ai jobs near you
Infographic showing various Internship Aws Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Software Development Engineer, AWS AI Agentic Automated Reasoning (AR)

Socket.dev

Seattle, WA • On-site

$144 - $194/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

We are building exciting new capabilities in the Amazon Web Services (AWS) Agentic AI Automated Reasoning group by using Automated Reasoning in new, novel and exciting ways to enhance AWS services. The position is based in Seattle, Washington.


We are seeking a talented and passionate Software Development Engineer (SDE) who wishes to work at the intersection of Automated Reasoning and cloud-scale distributed systems, building and operating managed reasoning infrastructure that powers correctness guarantees across AWS.


As an SDE, you will design, build, and operate components of Amazon's cloud-hosted automated reasoning platform that enables AWS services to offload satisfiability and verification queries at scale. You will tackle challenges in distributed systems, solver integration, API development, and service reliability. Your work will directly enable customers to verify correctness of software, infrastructure configurations, and AI-generated code at AWS scale.


This is a unique opportunity to combine strong software engineering skills with automated reasoning technology. You'll work alongside world-class scientists and senior engineers to turn research breakthroughs in solver technology into production services that power correctness guarantees for millions of customers. The problems are hard, the impact is enormous, and your contributions will be highly visible.


Key job responsibilities

  • Design and implement features and components of Amazon's cloud-hosted automated reasoning platform, including query routing, solver orchestration, result caching, and soundness management.

  • Build and maintain distributed systems that meet AWS's operational excellence standards for availability, latency, and correctness.

  • Contribute to the evolution of the service API, making it easier for customers to integrate reasoning capabilities into their workflows.

  • Collaborate with Automated Reasoning scientists to integrate solver improvements and new capabilities into the production platform.

  • Participate in on-call rotations, build monitoring and alerting, and contribute to the continuous improvement of service reliability.

  • Write clean, well-tested, production-quality code and participate actively in code reviews and design discussions.

  • Work with internal AWS customer teams to understand their use cases and help troubleshoot integration issues.


A day in the life

A typical day may include implementing a new feature for the solver service, collaborating with a scientist on integrating a solver optimization, participating in code reviews, debugging an issue in the query pipeline, or writing tests to improve coverage. You'll spend most of your time writing code and solving technical problems, while also contributing to design discussions and operational improvements. You might also attend a sprint planning session, pair with a teammate on a tricky problem, or investigate a customer-reported issue.


Basic Qualifications

  • 3+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • 1+ years of software development engineer or related occupational experience

  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

  • 1+ years of Object Oriented Design experience

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

  • Experience programming with at least one software programming language


Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent


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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.


USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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