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 |
|---|---|---|
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, emphasizing real-time solutions and end-to-end data excellence within a consumer product context. | Agent | 8 |
| Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops Senior Applied Scientist role focused on developing and deploying ML and statistical models for Alexa's reliability at scale. This involves time series analysis, anomaly detection, LLM-driven operational intelligence, and adaptive thresholds, with a focus on production-grade solutions and rigorous evaluation. | AgentData | 8 |
| Data Scientist, Alexa Connections This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers. | Agent | 7 |
| Data Scientist, Alexa Connections This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers. | Agent | 7 |
| Data Scientist, Digital Acceleration The Data Scientist, Digital Acceleration role at Amazon focuses on designing and delivering advanced analytics and machine learning models for Amazon's digital businesses. The role involves end-to-end project management, from ideation to deployment, with a strong emphasis on Generative AI solutions and LLMs to enhance data access and solve customer problems within the Digital Acceleration Analytics team. | Agent | 7 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience. | Agent | 7 |