Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Language Engineer , Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating Amazon's AI models, utilizing methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. The Language Engineer will design data collections, analyze data, build tools for data creation, and collaborate with scientists and engineers to evaluate AI model performance. | Data | 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, using methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. The Language Engineer will design data collections, create tasks, analyze data, build tools for data analysis/creation, and collaborate on AI model performance evaluation. | Data |
| 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. Responsibilities include designing data collections, creating data using state-of-the-art methods, analyzing data, building tools for data analysis/creation, and collaborating on AI model performance evaluation. | Data | 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. Responsibilities include designing data collections, creating data with synthetic and model-based methods, analyzing data, building tools for data analysis/creation, and collaborating to evaluate AI model performance. | Data | 7 |