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Entry Level Aws Ai Practitioner Jobs (NOW HIRING)

Senior Applied Scientist, AWS Quick

Santa Clara, CA · On-site

$107K - $146K/yr

AWS, the world-leading provider of cloud services, has fostered the creation and growth of ... Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution ...

AWS, the world-leading provider of cloud services, has fostered the creation and growth of ... Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution ...

Consultant Intern - AWS Cloud 2027

Dallas, TX · On-site

$14.75 - $19.75/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS Foundational (Cloud or AI Practitioner); Associate, Professional, or Specialty (Aspirational ...

Consultant Intern - AWS Cloud 2027

New York, NY · On-site

$16.50 - $22/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS Foundational (Cloud or AI Practitioner); Associate, Professional, or Specialty (Aspirational ...

Consultant Intern - AWS Cloud 2027

Chicago, IL · On-site

$15.50 - $20.50/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS Foundational (Cloud or AI Practitioner); Associate, Professional, or Specialty (Aspirational ...

Technical certifications such as AWS Certified Developer and AWS AI Certified Practitioner * Experience with DevOps (CI/CD) solutions such as GitLab, etc. * Experience with AI/ML solutions or complex ...

GenAI Developer

Reston, VA · On-site

$115K - $195K/yr

Technical certifications such as AWS Certified Developer and AWS AI Certified Practitioner * Experience with DevOps (CI/CD) solutions such as GitLab, etc. * Experience with AI/ML solutions or complex ...

We work at the intersection of cloud, data, and AI to solve real business problems and not just ... AWS Cloud Practitioner certification and/or GenAI Practitioner (required within the first 30 days)

We work at the intersection of cloud, data, and AI to solve real business problems and not just ... AWS Cloud Practitioner certification and/or GenAI Practitioner (required within the first 30 days)

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Cloud Certifications such as AWS Certified AI Practitioner Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for ...

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Cloud Certifications such as AWS Certified AI Practitioner Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for ...

We work at the intersection of cloud, data, and AI to solve real business problems and not just ... AWS Cloud Practitioner certification and/or GenAI Practitioner (required within the first 30 days)

We work at the intersection of cloud, data, and AI to solve real business problems and not just ... AWS Cloud Practitioner certification and/or GenAI Practitioner (required within the first 30 days)

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Cloud Certifications such as AWS Certified AI Practitioner Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for ...

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Entry Level Aws Ai Practitioner information

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How much do entry level aws ai practitioner jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level aws ai practitioner in the United States is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 per hour, depending on experience, location, and employer.

What is an entry level AWS AI practitioner?

Entry Level AWS AI Practitioners are professionals who are just beginning their careers in artificial intelligence (AI) and cloud computing, specifically using Amazon Web Services (AWS). They work with foundational AWS AI and machine learning (ML) services to help organizations implement basic AI solutions. Their responsibilities may include data preparation, training simple models, deploying AI services, and supporting more experienced data scientists and engineers. This role often requires knowledge of AWS tools like SageMaker, Rekognition, or Lex, and a basic understanding of programming and data analysis. Entry level practitioners typically work under supervision while gaining experience and AWS certifications.

What are the key skills and qualifications needed to thrive as an entry level AWS AI practitioner?

To thrive as an Entry Level AWS AI Practitioner, you need a foundational understanding of cloud computing, basic AI/ML concepts, and familiarity with programming languages such as Python, often supported by an AWS Cloud Practitioner or AWS Certified Machine Learning – Specialty certification. Experience with AWS services like SageMaker, Lambda, and S3, as well as basic data analysis tools, is typically required. Strong problem-solving skills, eagerness to learn, and effective communication set candidates apart in this role. These skills and qualities are vital for successfully implementing AI solutions on AWS and collaborating with technical teams in a fast-evolving environment.

What are some common challenges faced by entry level AWS AI practitioners, and how can they be addressed?

Entry Level AWS AI Practitioners often encounter challenges such as understanding complex cloud-native AI tools, managing resource costs, and collaborating effectively with cross-functional teams. Navigating AWS services like SageMaker, Lambda, and S3 can be overwhelming without hands-on practice. To overcome these obstacles, it's helpful to take advantage of AWS documentation, participate in team knowledge-sharing sessions, and seek mentorship from more experienced colleagues. Regularly working on small-scale projects and asking questions during code reviews can also accelerate skill development and integration into the team.

What is the difference between Entry Level Aws Ai Practitioner vs Entry Level Aws Data Analyst?

AspectEntry Level Aws Ai PractitionerEntry Level Aws Data Analyst
CertificationsAWS Certified Machine Learning – Specialty, AWS Certified Cloud PractitionerAWS Certified Data Analytics – Specialty, AWS Certified Cloud Practitioner
Work EnvironmentDeveloping AI models, deploying machine learning solutions on AWSAnalyzing data sets, generating reports, visualizing data on AWS
Industry UsageAI and machine learning projects, AI-driven applicationsBusiness intelligence, data reporting, data-driven decision making

While both roles require AWS foundational knowledge and cloud certifications, the Entry Level Aws Ai Practitioner focuses on developing and deploying AI models, whereas the Entry Level Aws Data Analyst specializes in analyzing data and generating insights. The roles differ in their core tasks but share a common foundation in AWS cloud services.

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Infographic showing various Entry Level Aws Ai Practitioner job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 64% In-person, 7% Hybrid, and 29% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

Senior Applied Scientist, AWS Quick

Amazon

Santa Clara, CA • On-site

$107K - $146K/yr

Full-time

Re-posted yesterday


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Come join the AWS AI science team in building the next generation models for intelligent automation.
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world

As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
Key job responsibilities
* Design and implement scalable, production-grade neuro-symbolic systemsthat integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers.
* Collaborate cross-functionally with product, engineering, and science teams as well as external customersto deeply understand pain points, gather requirements, and translate them into neuro-symbolic features that solve real-world problems.
* Enhance and extend the capabilities of formal reasoning systemsto meet the demands of GenAI and agentic applications - including areas such as hallucination detection, policy verification, and automated guardrails.
* Proactively identify and pursue new opportunitiesto apply formal reasoning solutions across AWS services and customer domains, driving adoption and expanding the impact of neuro-symbolic approaches.
* Own the end-to-end science lifecycle- from research and experimentation through production deployment - defining metrics to measure system performance and the real-world impact of neuro-symbolic solutions.
* Mentor junior scientists and engineers, providing technical guidance, fostering a culture of scientific rigor, and raising the bar across the team.
* Advance the state of the artthrough publications at top-tier venues, patents, or open-source contributions, strengthening Amazon's position as a leader in automated reasoning and neuro-symbolic AI.
A day in the life
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies

If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
About the team
You will be working with a team of formal methods and machine learning specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of new features for Automated Reasoning checks that delight our customers.
Why AWS


AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer.

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.


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Hours and flexibility

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Get the full story on Breakroom


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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US