Amazon is continuing to expand its artificial intelligence workforce across some of the most important areas of modern technology.

The company’s dedicated AI careers platform highlights opportunities across:

Generative AI

Machine Learning

Data Science

Applied Science

Research Science

Software Development

Hardware Development

Robotics

AI Infrastructure

and

Foundation Models.

Amazon describes its AI work as focused on building intelligent systems with real-world impact for millions of customers.

For candidates interested in AI, the company offers career paths spanning both:

Research

and

Production.

That means professionals can work on everything from advanced AI models and custom chips to consumer products, cloud infrastructure and robotics.

Amazon AI Careers 2026 Overview

Category	Details
Company	Amazon
Main field	Artificial Intelligence
Career focus	AI with real-world impact
Major areas	Generative AI, ML, Data Science, Robotics, Research
Applied Science	Available
Research Science	Available
Data Science	Available
Software Development	Available
Hardware Development	Available
Robotics	Available
AWS AI/ML	Available
Foundation Models	Amazon AGI
Student pathway	University Talent
Learning support	AWS AI/ML curriculum and certifications
Research publishing	Supported
Application method	Amazon Jobs

About Amazon AI Careers

Amazon says its AI teams work on intelligent solutions that can reach:

Millions of global customers.

The company’s AI technologies are used across multiple industries and business areas.

These include:

Retail

Healthcare

Cloud Computing

Devices

Robotics

Supply Chains

and

Enterprise Technology.

This gives AI professionals an opportunity to work on technologies that move from research into large-scale real-world use.

Why Amazon Is Investing Heavily in AI

Amazon’s AI careers page emphasizes three major advantages of working in artificial intelligence at the company.

These are:

Large-scale computing resources

Global products

and

Access to experienced researchers and engineers.

The company says employees can work with:

Unparalleled computing power

Industry-leading partners

and

Custom AI infrastructure.

For AI professionals, access to large-scale infrastructure can be particularly important because frontier models require enormous computing resources.

1. Amazon Generative AI Jobs

Generative AI is one of Amazon’s most important areas of development.

Candidates may find opportunities in:

AWS

Amazon AGI

Devices

Retail

and other product teams.

Generative AI systems can create or understand:

Text
Images
Audio
Video
Code

Potential job titles may include:

Machine Learning Engineer

Applied Scientist

Research Scientist

Software Development Engineer

and

Data Scientist.

Exact vacancies should be confirmed on Amazon Jobs.

2. Amazon AGI Careers

Amazon highlights its:

AGI Team

as one of the major areas where candidates can work on advanced artificial intelligence.

The team develops:

State-of-the-art foundation AI models.

Amazon says these teams are building the:

Large Language Models powering Amazon Nova.

The work involves improving how AI processes:

Text

Images

and

Video.

Amazon Nova Careers

Amazon Nova is part of the company’s foundation-model ecosystem.

Employees working in this area may contribute to:

Model development
Training
Optimization
Multimodal AI
Model deployment
Inference

This can be particularly attractive to candidates interested in large language models and frontier AI.

3. AWS Machine Learning Jobs

Amazon Web Services is one of the largest cloud platforms in the world.

AWS maintains dedicated teams focused on:

Machine Learning

and

Artificial Intelligence.

The careers source says these teams help organizations use AI and ML to:

Optimize operations

Manage risk

and

Improve customer engagement.

Generative AI at AWS

AWS also helps organizations adopt:

Generative AI.

Professionals working in this area may build:

Cloud AI platforms
Foundation model services
Machine-learning infrastructure
Enterprise AI tools

Candidates with both cloud and AI skills can be particularly well positioned.

4. Amazon Robotics Careers

One of Amazon’s most distinctive AI career areas is:

Robotics.

The source states that Amazon uses:

750,000+ robots

across its operations.

The Robotics team is working to advance generative AI across these systems.

Physical AI

Amazon describes this work as:

Physical AI.

Physical AI focuses on intelligent systems that interact with the real world.

Examples can include:

Robots
Autonomous systems
Warehouses
Sensors
Computer vision

This field combines artificial intelligence with engineering and robotics.

Who Might Fit Amazon Robotics?

Relevant backgrounds may include:

Robotics Engineering

Computer Science

Mechanical Engineering

Electrical Engineering

Computer Vision

Machine Learning

and

Control Systems.

5. Annapurna Labs Careers

Amazon also highlights:

Annapurna Labs.

Teams there work on the infrastructure that supports next-generation AI.

Projects can involve:

Custom chips

Supercomputers

and

Software stacks.

Project Ceiba

The source references:

Project Ceiba

as an example of Amazon’s advanced computing infrastructure.

Professionals working in this field may contribute to high-performance systems designed for large-scale AI workloads.

AI Hardware Careers

AI development increasingly depends on specialized hardware.

Amazon’s careers platform includes:

Hardware Development

as a dedicated AI-related career category.

Professionals can help design:

Silicon

Systems

Devices

and

Infrastructure.

Best Backgrounds for AI Hardware Careers

Relevant degrees can include:

Electrical Engineering

Computer Engineering

Semiconductor Engineering

Computer Architecture

and

Physics.

6. Applied Science Careers

Amazon lists:

Applied Science

as a major AI career category.

Applied Scientists work where:

Research meets real-world AI.

They can develop:

Models

and

Algorithms

used in products serving millions of users.

What Applied Scientists Do

Potential responsibilities can include:

Machine-learning model development
Experimentation
Optimization
Statistical modelling
Algorithm development

Applied Science can be particularly attractive to candidates who want to conduct advanced technical work while also seeing their research deployed.

7. Research Science Careers

Amazon also maintains:

Research Science

career opportunities.

These professionals can investigate foundational problems in:

Machine Learning

Optimization

and related fields.

The company says researchers can:

Publish

and

Apply

their discoveries.

Academic Research at Amazon

Amazon scientists remain active in the global research community.

The careers page highlights conferences including:

ICML

and

NeurIPS.

Researchers can also contribute to publications.

Who Might Fit Research Science?

Relevant backgrounds can include:

Machine Learning

Artificial Intelligence

Mathematics

Statistics

Operations Research

Economics

Computer Science

and other quantitative disciplines.

Advanced research positions may require postgraduate qualifications.

8. Data Science Careers

Amazon identifies:

Data Science

as a dedicated AI career area.

The company describes Data Scientists as professionals who:

Analyze complex data

to uncover patterns, influence strategy and improve intelligent products.

What Amazon Data Scientists May Work On

Potential work can include:

Customer behavior
Product analytics
Machine-learning systems
Forecasting
Business strategy
Experimentation

Relevant skills may include:

SQL

Python

Statistics

Machine Learning

and

Data Visualization.

Data Science and AI

Data Science plays a critical role in AI because models require:

High-quality data

Measurement

and

Evaluation.

Candidates from analytical backgrounds can therefore build AI careers even if they are not focused primarily on deep-learning research.

9. Software Development Careers

Amazon also lists:

Software Development

as a major AI career category.

Software engineers build the platforms, services and applications used to deliver:

Intelligent experiences at scale.

What Software Engineers May Build

Potential systems can include:

AI services
Cloud applications
Model infrastructure
Backend services
APIs
Consumer applications

Software engineering remains one of the most direct routes into AI companies.

10. Devices and Services Careers

Amazon’s:

Devices and Services

teams work on products such as:

Alexa

Ring

and

Fire TV.

AI is increasingly integrated into these devices.

AI in Consumer Devices

Professionals may help make:

Shopping more intuitive

Entertainment more personalized

and

Home technology more intelligent.

Relevant skills can include:

Machine Learning

Speech Recognition

Natural Language Processing

Embedded Systems

and

Software Engineering.

11. Alexa AI Careers

Alexa remains one of Amazon’s major AI-driven products.

Professionals may potentially work in:

Speech
NLP
Conversational AI
Generative AI
Personalization

Exact job titles should be checked through Amazon Jobs.

12. Amazon Health Services AI Jobs

Amazon highlights:

Health Services

as another area where AI is being used.

The company says its AI teams work on challenges affecting millions of people and potentially improving:

Healthcare accessibility

Workplace safety

and

Climate-related outcomes.

AI in Healthcare

Potential applications can include:

Health data analysis
Clinical workflows
Customer experience
Pharmacy systems
Predictive analytics

AI careers in healthcare can be attractive to professionals interested in combining technology with health.

Amazon Pharmacy AI Careers

The careers source features an Amazon Pharmacy software engineer discussing the use of:

Generative AI

while emphasizing:

Safety

and

Privacy.

This demonstrates the growing role of AI inside healthcare-related Amazon businesses.

13. Supply Chain AI Careers

Amazon operates one of the world’s largest logistics systems.

Artificial intelligence can support:

Forecasting
Inventory
Routing
Warehouse automation
Demand prediction

Professionals with backgrounds in:

Operations Research

Machine Learning

Data Science

and

Supply Chain Analytics

may find relevant opportunities.

14. Computer Vision Careers

Computer vision is important across:

Robotics

Devices

Retail

and

Logistics.

Potential applications include:

Object recognition
Robot navigation
Warehouse systems
Smart devices

Candidates interested in computer vision should search across multiple Amazon teams.

15. Natural Language Processing Careers

NLP is particularly relevant to:

Alexa

Amazon Nova

and

Generative AI.

NLP professionals can work on systems that understand:

Language

Intent

and

Context.

16. Machine Learning Engineering Careers

Machine Learning Engineers can contribute to:

Training pipelines
Model deployment
Inference
Experimentation
Feature engineering

Relevant skills may include:

Python

Machine Learning Frameworks

Algorithms

and

Cloud Computing.

17. AI Infrastructure Careers

Amazon’s AI strategy relies heavily on infrastructure.

Employees may work with:

Cloud computing

Custom silicon

Data centers

Distributed systems

and

Supercomputing.

Candidates who prefer infrastructure over model research can still build strong AI careers.

Responsible AI at Amazon

Amazon also emphasizes:

Responsible AI.

The company says responsible AI is integrated throughout its development process.

Its framework includes eight priorities.

1. Fairness

Amazon evaluates how AI systems may affect:

Different groups

and

Broader society.

2. Explainability

Explainability involves understanding:

Why an AI system produces a particular result.

3. Privacy and Security

AI teams must appropriately:

Collect

Use

and

Protect

data and models.

4. Safety

Safety focuses on preventing:

Harmful outputs

and

Misuse.

5. Controllability

AI systems need mechanisms that allow their behavior to be:

Monitored

and

Managed.

6. Veracity and Robustness

Models should continue producing reliable outputs even under:

Unexpected

Adversarial

inputs.

7. Governance

Amazon emphasizes best practices throughout the:

AI supply chain.

8. Transparency

Users should be able to make:

Informed decisions

about interacting with AI.

Why Responsible AI Skills Matter

As AI adoption increases, professionals who understand:

AI Safety

Privacy

Security

Governance

and

Model Evaluation

may become increasingly valuable.

Amazon University Talent

Students and graduates can explore opportunities through:

Amazon University Talent.

This career pathway helps candidates beginning their professional careers find suitable roles.

Availability changes according to location and hiring cycles.

Amazon AI Internships

AI internships may appear across areas such as:

Applied Science

Data Science

Software Development

and

Research.

Students should monitor the official careers portal for current openings.

Amazon Graduate AI Jobs

Graduates should search multiple job titles rather than using only:

AI Graduate.

Relevant searches might include:

Applied Scientist

Data Scientist

Software Development Engineer

Machine Learning Engineer

and

Research Scientist.

AI Training at Amazon

Amazon also highlights professional development through:

AWS AI/ML curriculum

and

certifications.

Employees may be able to continue developing technical skills throughout their careers.

AWS AI and Machine Learning Training

AWS offers learning resources around:

Artificial Intelligence

Machine Learning

and

Cloud Computing.

These skills can be useful for candidates interested in Amazon AI roles.

Research Conferences

Amazon’s AI experts participate in major research conferences.

The careers source specifically mentions:

ICML

and

NeurIPS.

These conferences are among the most important global events in machine learning.

Publishing Research

Amazon states that its scientists:

Publish

Teach

and

Engage

with the global research community.

This can be especially attractive to researchers who want to maintain academic visibility while working in industry.

Best Degrees for Amazon AI Careers

Relevant academic backgrounds may include:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

Statistics

Mathematics

Electrical Engineering

Computer Engineering

Robotics

Physics

and

Operations Research.

Requirements vary significantly by role.

Best Skills for Amazon AI Jobs

Candidates can benefit from skills in:

Python

SQL

Machine Learning

Deep Learning

Statistics

Algorithms

Data Structures

Distributed Systems

Cloud Computing

NLP

Computer Vision

and

Software Engineering.

How to Search for Amazon AI Jobs

Candidates should use:

Amazon Jobs

to identify current positions.

Step 1 — Choose Your AI Career Area

Examples include:

Data Science

Applied Science

Research Science

Software Development

Hardware Development.

Step 2 — Search by Team

Potential teams include:

Amazon Robotics

AWS Machine Learning

Amazon AGI

Annapurna Labs

and

Devices and Services.

Step 3 — Search by Location

Availability varies according to country and office.

Step 4 — Read the Full Job Description

Confirm:

Qualifications

Experience

Education

Location

Compensation

and

Work authorization.

Step 5 — Tailor Your Resume

Match your resume to the vacancy rather than submitting the same document everywhere.

How Data Scientists Can Strengthen Their Applications

Strong applicants can demonstrate experience with:

Large datasets
Statistics
Experimentation
SQL
Python
Business decision-making

Projects should show measurable outcomes where possible.

How Applied Scientists Can Stand Out

Candidates can emphasize:

Machine Learning Research

Model Development

Algorithms

Experimentation

and

Publication experience.

How Software Engineers Can Stand Out

Software engineering applicants should demonstrate:

Coding

Algorithms

Data Structures

System Design

and

Scalable architecture.

How Research Scientists Can Stand Out

Strong research applicants may demonstrate:

Publications
Conference work
PhD-level research
Novel methods
Technical depth

Requirements depend on the specific role.

How Robotics Applicants Can Stand Out

Candidates can showcase experience in:

Computer Vision

Control Systems

Machine Learning

Robotics Hardware

Autonomous Systems.

Is Amazon Hiring Internationally?

Amazon operates globally and advertises opportunities across many locations.

However, individual vacancies can have different:

Work authorization

Residency

and

Visa

requirements.

Does Amazon Sponsor Visas?

Visa sponsorship should not be assumed across every vacancy.

Candidates must check the specific job description.

Are Amazon AI Jobs Remote?

Some Amazon positions may offer remote or flexible arrangements.

Others require office or site presence.

The individual vacancy is the authoritative source.

Does Amazon Publish Salaries?

Salary information can vary according to:

Country

State

Job level

and

Position.

Applicants should review the current vacancy for compensation details where disclosed.

Frequently Asked Questions

Does Amazon hire for AI jobs?

Yes.

Amazon maintains a dedicated AI careers platform.

What AI fields does Amazon recruit for?

The company highlights:

Generative AI

Machine Learning

Robotics

Data Science

Research Science

Applied Science

Hardware Development

and

Software Development.

Does Amazon work on foundation models?

Yes.

Its AGI teams develop foundation models powering:

Amazon Nova.

Does Amazon hire Data Scientists?

Yes.

Data Science is a dedicated AI-related job category.

Does Amazon hire AI Researchers?

Yes.

Research Science and Applied Science are dedicated career categories.

Does Amazon hire Software Engineers for AI?

Yes.

Software Development is one of the main career pathways.

Does Amazon hire robotics engineers?

Yes.

Amazon has a dedicated Robotics team.

How many robots does Amazon use?

The careers source says Amazon operates:

750,000+ robots.

Does Amazon develop custom AI chips?

Yes.

Annapurna Labs works on custom chips and AI infrastructure.

Does Amazon use AI in healthcare?

Yes.

Amazon highlights Health Services as an AI application area.

Does Amazon use generative AI in AWS?

Yes.

AWS uses AI and ML to help organizations optimize operations and build new applications.

Does Amazon support AI researchers publishing papers?

Yes.

Amazon says its scientists continue to publish and participate in the research community.

Does Amazon participate in AI conferences?

Yes.

The careers source mentions:

ICML

and

NeurIPS.

Does Amazon offer student careers?

Yes.

The careers platform includes:

University Talent.

Is responsible AI important at Amazon?

Yes.

Amazon outlines eight responsible-AI priorities covering fairness, explainability, privacy, safety, controllability, robustness, governance and transparency.

Opportunities Feed Assessment

Amazon’s AI careers platform is especially valuable because it shows how broad the artificial-intelligence job market has become.

The company’s AI workforce extends far beyond traditional:

Machine Learning Engineer

roles.

Current career pathways span:

Research + Data + Software + Hardware + Robotics + Cloud + Healthcare + Infrastructure.

For candidates interested in pure AI research, strong pathways include:

Research Science

and

Applied Science.

For candidates from analytical backgrounds:

Data Science

provides another route.

Software engineers can work on the platforms and services that bring intelligent products to millions of users.

Hardware specialists can contribute to custom chips and infrastructure through teams such as:

Annapurna Labs.

Robotics professionals can work on physical AI across Amazon’s fleet of more than:

750,000 robots.

Candidates interested in frontier models can explore:

Amazon AGI

and the teams developing the large language models behind:

Amazon Nova.

Amazon’s scale also means AI professionals can move between industries and technologies over time.

The company’s careers page specifically emphasizes the ability to shift across:

Roles

Disciplines

and

Domains.

A strong application strategy is therefore:

Choose your specialization → Search the relevant Amazon AI team → Match your technical skills → Build demonstrable projects → Tailor your resume → Prepare for technical interviews → Apply through Amazon Jobs.

For graduates, researchers, data scientists, software engineers, robotics professionals and AI infrastructure specialists, Amazon remains one of the major technology employers worth monitoring throughout 2026.

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