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 |
|---|---|---|
| AI Language Engineer, Alexa for Shopping AI Language Engineer for Amazon's Conversational Shopping team, focusing on developing and implementing LLM-assisted evaluation tools and processes to improve AI-driven shopping experiences. The role involves creating automated verification scripts, annotation guidelines, and quality metrics, collaborating with cross-functional teams to ensure high-quality editorial data and product outcomes. | Eval GateData | 8 |
| Data Scientist, Network Fabric Engineering Data Scientist role focused on defining and driving the data science strategy for network operations automation, including agentic systems. The role involves defining metrics, building risk and reliability models, and evaluating the performance of automation and AI systems to improve network availability. It emphasizes statistical rigor and evidence-based decision-making within a team of network and software engineers. |
| Eval GateAgent |
| 7 |
| Applied Scientist, Fauna This role focuses on developing evaluation frameworks and data collection protocols for robotic capabilities, bridging robotics, ML, and human-in-the-loop systems. The scientist will design evaluation methodologies, create data collection protocols, build teleoperation workflows, and analyze results to improve robot behavior and dataset generation. | Eval GateData | 7 |
| Software Development Engineer Test, Alexa Global quality Software Development Engineer in Test focused on quality assurance automation and framework creation for Alexa's global, multilingual, and multimodal experiences. The role involves building agentic automation tooling for end-to-end quality evaluation, including synthetic test generation, LLM-as-a-Judge, and visual/cultural validation using ML. | Eval GateAgent | 7 |
| AI Benchmarking Specialist - Chinese, International Seller Growth This role focuses on evaluating AI systems, specifically LLMs, by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. It involves annotation for training, measuring, and improving AI models, preparing audit reports, and ensuring data quality. The role supports the Seller AI team in developing Gen-AI/LLM powered tools for sellers. | Eval Gate | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa's multilingual experience across text, voice, and visual modalities. It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and driving quality metrics for a global customer base. | Eval GateAgent | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa+'s multilingual experience by driving quality across various modalities (text, voice, visual). It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and performing manual and automated testing. The role requires fluency in one or more European languages and emphasizes quality across speech, visual, conversational, cultural, and linguistic dimensions. | Eval GateAgent | 5 |
| Software Development Engineer in Test, Alexa Global Quality - India This role focuses on building and evolving agentic automation tooling for end-to-end quality evaluation of Alexa's multi-locale experience. It involves creating scalable, AI-powered solutions for validation across speech, visual, conversational quality, and cultural/linguistic dimensions, including synthetic test generation and LLM-as-a-Judge evaluations. | Eval GateAgent | 5 |