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 |
|---|---|---|
| Senior Applied Scientist, Alexa AI Senior Applied Scientist role focused on defining and driving the science roadmap for conversational AI systems using LLMs, impacting millions of customers. Responsibilities include designing LLM fine-tuning, alignment, and agentic architectures, owning end-to-end delivery from research to production, developing evaluation frameworks, and collaborating with cross-functional teams. The role involves publishing at top-tier conferences and generating intellectual property. | AgentPost-train | 9 |
| Sr. Applied Scientist, Alexa International The Senior Applied Scientist will focus on developing novel algorithms and modeling techniques for multilingual speech generation, text-to-speech synthesis, and speech-to-speech models within the Alexa International team. This role involves driving scientific strategy, influencing partner teams, and delivering solutions that enhance voice experiences across multiple languages, leveraging large-scale computing resources and addressing challenges in low-resource language settings. |
| Post-trainServe |
| 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, potentially publish work at top-tier conferences. | Ship | 7 |
