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 |
|---|---|---|
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data to detect anomalies and prevent fraudulent activity on Amazon's platform. It involves designing and building software systems, analyzing customer trends, deploying rules, and creating reporting and dashboards. While the team uses machine learning and AI tools, the analyst role itself is primarily focused on data analysis, rule-based systems, and operational support rather than core AI/ML model development. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data, detecting anomalies, and preventing fraudulent activity on Amazon's platform by deploying rules and leveraging machine learning systems. It involves working with large datasets, identifying patterns, and collaborating with product managers, scientists, and engineers to maintain customer trust and prevent bad actors. | — | 5 |
| Seller Success Manager, AB3P, Amazon Business 3rd Party |
| — |
| 0 |
| Designer, Devices Brand Studio Designer role focused on creating digital assets for Amazon's devices, working on merchandising and marketing campaigns across online and offline channels. The role emphasizes scaling design deliverables, optimizing workflows, and improving production efficiency. | — | 0 |
| Business Intelligence Engineer II, Sourcing Performance Operations This role focuses on Business Intelligence Engineering within Amazon's Global Supply Chain Optimization Technologies (SCOT) organization. The primary responsibilities involve designing, developing, and maintaining data models and ETL pipelines, creating and optimizing SQL queries for large-scale data analysis, and building interactive dashboards and visualizations. The goal is to enhance visibility and optimize inbound freight signals, scheduling, and overall supply chain performance. While the team's mission mentions leveraging advanced analytics and machine learning, this specific role is centered on business intelligence and data analysis to support operations, rather than directly building or researching AI models. | — | 0 |
| Business Analyst, Sourcing Performance Operations This role focuses on analyzing large datasets to solve business problems, create reporting solutions, and drive operational enhancements within Amazon's Sourcing Performance Operations. It involves retrieving and analyzing data using SQL and other tools, monitoring and creating metrics, and supporting cross-functional teams. | — | 0 |
