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 Manager, Specialized Risk, Selling Partner Account Compromise This role focuses on risk management and data analysis within Amazon's Account Integrity team, specifically targeting selling partner account compromise. The responsibilities include analyzing large datasets to detect anomalies, understand bad actor behaviors, and deploy rules to prevent fraudulent access. The role involves creating and maintaining data sets, pipelines, and reporting, applying quantitative analysis and data mining to design alarm systems, and supporting cross-functional teams. While the role mentions using AI tools, its core function is risk analysis and rule deployment rather than building AI models. |
| — |
| 5 |
| Content Risk Analyst, ASCI, ASCI This role focuses on the operational aspects of AI initiatives within Amazon's Alexa team, specifically involving data annotation, quality assurance for AI models, red teaming, customer feedback analysis, and incident monitoring. The candidate will work with essential back-end operations to maintain the quality and accuracy of AI initiatives, create and manage test datasets, and contribute to process improvements. | Data | 5 |
| Global Artificial Intelligence Associate, MLD Operations The role involves reviewing and tagging image/video content for machine learning models, acting as a human-as-sensor to support ML technology. It requires high attention to detail, speed, and accuracy in performing repetitive tasks to meet productivity and quality targets. | Data | 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 Program Manager II, Amazon Business 3rd Party (AB3P) This role focuses on identifying opportunities to integrate AI/ML and automation into seller support workflows within Amazon Business. The Program Manager will lead initiatives to improve seller experience and operational efficiency by designing, piloting, and scaling AI solutions, with a focus on reducing manual effort and speeding up issue resolution. While not directly building models, the role is critical in driving the application and adoption of AI technologies to solve business problems. | Agent | 5 |
| Risk Analyst, Account Integrity This role focuses on analyzing data to detect and prevent fraudulent activity and bad actors on Amazon's platform. The analyst will work with data sets and pipelines, identify patterns, develop rules for automated deployment, and support cross-functional teams. While the team uses machine learning, this specific role is more focused on data analysis, rule creation, and operational support rather than direct ML model development. | — | 5 |
| Seller Success Manager, AB3P, Amazon Business 3rd Party This role leads a seller success team within Amazon Business, focusing on people leadership, strategic vision, and operational excellence. The responsibilities include managing a team, developing strategic plans, managing stakeholders, and driving improvements in seller growth and satisfaction. A key aspect is developing an AI/automation strategy to enhance team capabilities and service delivery. | — | 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 |
| DataCenter Material Associate III, IT Hub This role is for a Data Center Material Associate III in IT Hub, focusing on managing inventory, logistics, and ensuring adherence to strict Standard Operating Procedures for customer data protection. It involves tasks like inventory audits, coordinating transportation, creating documentation, and executing small inventory-related projects. While it mentions knowledge in ML/AI as a preferred qualification, the core responsibilities are operational and logistical, not AI/ML development. | — | 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 Intelligence Engineer, Sourcing Performance Operations This role focuses on Business Intelligence within Amazon's Global Supply Chain Optimization Technologies organization. The Business Intelligence Engineer will be responsible for enhancing inbound efficiency and predictions of supply chain sourcing inbound operations through business intelligence. This involves designing and maintaining data models and ETL pipelines, creating SQL queries, building dashboards, and collaborating with stakeholders to drive data-driven insights. The role emphasizes improving visibility into inbound freight, orchestrating inbound freight, and improving lead times. While the team mentions leveraging machine learning and big data technologies, the core responsibilities of this specific role are centered around data analysis, reporting, and business intelligence, not direct AI/ML model development or deployment. | — | 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 |