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Amazon Artificial Intelligence Jobs (NOW HIRING)

Amazon

Finance Manager, Amazon AI Lab

San Francisco, CA · On-site

Amazon is hiring a highly effective Finance Manager to partner with the Artificial General Intelligence (AGI) lab in San Francisco on building practical AI that can actually do things for us and make ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and ... We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

Amazon

Finance Manager, Amazon AI Lab

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amazon is hiring a highly effective Finance Manager to partner with the Artificial General Intelligence (AGI) lab in San Francisco on building practical AI that can actually do things for us and make ...

Insperity

Artificial Intelligence Engineer III

Madison, WI

$58 - $77.75/hr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

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Amazon Artificial Intelligence information

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$11K

$102.9K

$133K

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

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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.

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA

$124K - $149K/yr

Full-time

Re-posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.


Key job responsibilities
Specifically, the Language Engineer will:
Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Analyze and extract language-related insights from large amounts of data
Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
Use modeling tools to bootstrap or test new functionalities
Collaborate with scientists and software engineers to evaluate performance of language models
Handle competing requests from a range of data customers

What Amazon employees say

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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

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