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Amazon Artificial Intelligence Jobs (NOW HIRING)

Amazon

Finance Manager, AGI Information

Seattle, WA · On-site

Come join Amazon Artificial General Intelligence (AGI) Finance! The Amazon AGI Finance team has an opening for a Finance Manager to partner with AGI Product Organization. This role will work closely ...

Amazon

Finance Manager, AGI Information

Seattle, WA · On-site

Come join Amazon Artificial General Intelligence (AGI) Finance! The Amazon AGI Finance team has an opening for a Finance Manager to partner with AGI Product Organization. This role will work closely ...

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Amazon Artificial Intelligence information

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How much do amazon artificial intelligence jobs pay per year?

As of Aug 20, 2026, the average yearly pay for amazon artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is an Amazon Artificial Intelligence job?

Amazon Artificial Intelligence jobs involve developing, implementing, and managing AI solutions across Amazon’s vast ecosystem, including e-commerce, cloud computing (AWS), logistics, and digital products. These roles can range from machine learning engineers and data scientists to applied scientists and AI product managers. Employees working in these positions typically design and train machine learning models, build intelligent systems, and help integrate AI technologies to improve customer experience and optimize business operations. The positions often require expertise in programming, data analysis, and AI frameworks, as well as experience with large-scale distributed systems.

What skills and qualifications are needed to thrive as an Amazon Artificial Intelligence engineer?

To thrive as an Amazon Artificial Intelligence Engineer, you need a strong background in computer science, machine learning, data analysis, and proficiency in programming languages such as Python or Java, typically supported by a relevant degree. Experience with cloud platforms like AWS, machine learning frameworks (e.g., TensorFlow, PyTorch), and certifications like AWS Certified Machine Learning are highly valued. Creative problem-solving, collaboration, and effective communication are essential soft skills for working on innovative AI projects and cross-functional teams. These skills and qualifications are crucial for developing scalable AI solutions that drive Amazon’s products and services forward.

How does an Amazon Artificial Intelligence professional typically collaborate with other teams to deliver AI-driven solutions?

As an Amazon AI professional, you'll frequently work cross-functionally with data scientists, software engineers, product managers, and business stakeholders. Collaboration often involves participating in agile development cycles, contributing to the design and deployment of scalable machine learning models, and ensuring solutions align with business goals. Regular communication and project updates are essential, as is the ability to translate complex technical concepts for non-technical colleagues. This collaborative structure helps ensure AI solutions are integrated effectively into Amazon's products and services.

What is the difference between Amazon Artificial Intelligence vs Amazon Data Scientist?

AspectAmazon Artificial IntelligenceAmazon Data Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; experience with machine learning frameworksBachelor's or higher in Data Science, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentDeveloping AI models, algorithms, and tools within Amazon's AI teamsAnalyzing large datasets, building predictive models, and deriving insights for business decisions
Employer & Industry UsagePrimarily in AI product development, cloud services, and machine learning solutions at AmazonAcross various departments for data analysis, forecasting, and strategic insights at Amazon

Amazon Artificial Intelligence focuses on creating AI models and algorithms, while Amazon Data Scientists analyze data to inform business decisions. Both roles require strong technical skills, but AI specialists develop the tools, whereas Data Scientists interpret data insights.

What is the easiest Amazon Artificial Intelligence job to get into?

Entry-level roles in Amazon's artificial intelligence field often include positions like AI/ML data analyst or junior research associate, which typically require foundational skills in programming, data analysis, and machine learning. These roles may also value relevant certifications or coursework and generally have less stringent experience requirements compared to senior positions.
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What states have the most Amazon Artificial Intelligence jobs?

States with the most job openings for Amazon Artificial Intelligence jobs include:

What job categories do people searching Amazon Artificial Intelligence jobs look for?

The top searched job categories for Amazon Artificial Intelligence jobs are:

Amazon Artificial Intelligence jobs near you
Infographic showing various Amazon Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Software Engineering Intern - Artificial Intelligence (Fall 2026)

Cynet Corp

Vienna, VA • On-site

Internship

Posted 7 days ago

Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.com 

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