Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| 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) |
| 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 |
| 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 |
