Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
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 |
|---|---|---|
| Sr. Technical Program Manager, Alexa Excellence AI Ops The Sr. Technical Program Manager will drive programs focused on AI-powered operations for Alexa, ensuring availability and reliability. This role involves managing initiatives for intelligent anomaly detection, automated incident response, and predictive reliability systems, as well as supporting Alexa's international expansion. The TPM will partner with scientists, engineers, and business leaders to deliver programs that advance operational intelligence at scale. | Ship | 5 |
| Sr. Product Manager – Tech, Alexa Daily Essentials This role is for a Senior Product Manager, Tech, on the Alexa Daily Essentials team. The focus is on leveraging generative AI to build the next generation of Alexa's AI assistant for productivity scenarios like timers, alarms, calendars, and news. The PM will drive product strategy, own the roadmap, translate customer requirements into technical specifications, and collaborate with science, design, research, and engineering partners to deliver engaging customer experiences across various Alexa touch-points. The role emphasizes innovating on behalf of customers and impacting millions of users worldwide. |
| Ship |
| 5 |
| Workflow Analyst , Ring Data Engineering Services This role focuses on tactical planning for operations, ensuring the right staff are available at the right times with the right skills to deliver customer service. It involves analyzing operational performance, creating global schedules, mitigating capacity gaps, and monitoring service level agreements (SLAs). The role requires experience in workforce management, statistical modeling for forecasting and optimization, and working in a demand-driven customer support environment. | — | 0 |
| Business Analyst, Ring Data Engineering Services This Business Analyst role focuses on using data analysis and business knowledge to solve problems and drive decisions within a workflow. Responsibilities include analyzing business and data processes, extracting and transforming data using SQL and Excel, performing descriptive analysis, documenting analytical approaches, and communicating findings. The role requires 1+ years of Excel/Tableau experience and 2+ years of complex Excel VBA macros writing experience, with SQL or ETL experience. | — | 0 |
| Workflow Analyst , Ring Data Engineering Services This role focuses on tactical planning for operations, ensuring the right staff are available at the right times with the right skills to deliver customer service. It involves analyzing operational performance, creating global schedules, mitigating capacity gaps, and monitoring service level agreements (SLAs). The role requires experience in workforce management, statistical modeling for forecasting and optimization, and working in a demand-driven customer support environment. | — | 0 |
| Associate, ML Data Operations, GO-AI Operations This role involves auditing videos of stowing actions in Amazon Robotics Fulfillment centers to ensure inventory accuracy and stow quality. It's an operational role focused on human judgment to verify product locations, requiring high accuracy and speed in reviewing visual data. | — | 0 |