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 |
|---|---|---|
| Applied Scientist, Alexa International Tech Applied Scientist role focused on developing Generative AI (GenAI) technology with LLMs and multimodal systems, specifically for speech generation to make Alexa more natural, expressive, and culturally relevant across multiple languages. The role involves research, algorithm development, experimentation, publishing findings, and collaborating with engineering teams to productionize models. | Post-trainServe | 9 |
| Applied Scientist Gen AI - Amazon Advertising, CreativeX Applied Scientist role focused on developing novel multi-modal generative AI agentic architectures and models for advertising creatives, integrating and deploying ML projects, curating datasets, and performing analysis. The role involves research, publication, and collaboration with cross-functional teams. |
| AgentData |
| 9 |
| Applied Scientist, AGI Information Research scientist role focused on cutting-edge LLM technologies, integrating multimodal information using techniques like RAG, and applying results to Amazon products. Requires independence and a strong research background with publications. | AgentData | 9 |
| Applied Scientist - LLM, Alexa Applied Scientist role focused on training and deploying LLMs for conversational AI systems like Alexa. The role involves end-to-end ownership from research and algorithm development to production deployment and inference infrastructure. | Post-trainServe | 8 |
| Applied Scientist, Prime Video Commerce Insights Applied Scientist role focused on Reinforcement Learning and ML for personalization in Prime Video Commerce, involving research, design, implementation, and deployment of recommendation systems at scale with low latency. The role aims to improve customer experience and business metrics by applying advanced ML techniques and contributing to the science roadmap. | AgentServe | 8 |
| Sr. Applied Scientist, Alexa International Senior Applied Scientist role focused on developing and advancing multilingual speech models (understanding and generation), text-to-speech synthesis, and speech-to-speech models for Alexa International. The role involves driving scientific strategy, leveraging large-scale computing resources, and optimizing model performance for production deployment in low-resource language settings. | Post-trainServe | 8 |
| Applied Scientist, Observability and Triage, Prime Video Applied Scientist role focused on building generative AI and large model systems for automated incident triage, root cause analysis, and resolution recommendation within Prime Video's observability and operational systems. The role involves prototyping, evaluating hypotheses, building evaluation frameworks, and collaborating with engineering teams to integrate ML models into production. | AgentEval Gate | 8 |
| Applied Scientist, Agentic Automated Reasoning Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal methods. The role involves understanding customer needs, identifying tools and methods, exploring generative AI for formalization and testing, and developing agentic systems for safety and security. | Agent | 8 |
| Applied Scientist, Silicon and Systems Group Edge AI Research Scientist role focused on developing novel evaluation methods for multimodal language models and agents for consumer devices. This involves creating and validating automated evaluation techniques, analyzing datasets to understand model gaps, and collaborating with training teams. The role emphasizes hardware-software integration for efficient model training and deployment on edge devices. | Eval GatePost-train | 7 |
| Economist II, GMAC Economics Economist II role focused on causal inference and machine learning for Prime Video Ads, involving experiment design, model building, and translating findings into business decisions. Requires a quantitative approach and end-to-end model implementation. | Post-train | 7 |
| Applied Scientist, Agentic Automated Reasoning This role focuses on building next-generation software verification tools by combining AI, cloud computing, and formal methods. The scientist will explore generative AI techniques for formalizing requirements, generating tests, and repairing proofs, and will work on agentic systems to ensure AI agents operate within safety boundaries. | Agent | 7 |