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. Specialist Solution Architect - AI, AWS Mexico Commercial Senior Specialist Solutions Architect for AI at AWS Mexico, focusing on architecting enterprise-grade AI/ML and generative AI solutions for C-suite executives. Requires deep technical experience in ML, GenAI, and agentic capabilities, including LLM customization, fine-tuning, inference optimization, agentic frameworks, RAG, and prompt engineering, with a focus on delivering measurable business outcomes and adhering to governance and compliance standards. | Agent | 7 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models at scale. The individual will act as a trusted advisor, architecting solutions, supporting adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. |
| 7 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves designing and developing end-to-end projects, working with Generative AI and distributed systems, and owning the quality of major deliverables. Requires strong software engineering skills, experience with AWS, and developing services using Generative AI. | Ship | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves end-to-end project design and development, working with Generative AI, distributed systems, and data processing. Requires strong software engineering skills, experience with AWS, and a focus on delivering high-quality software in an Agile environment. | Ship | 5 |
| Migration & Modernization Solutions Architect - Data & Analytics, Migration & Modenization This role is for a Solutions Architect at AWS focusing on Data & Analytics solutions, helping customers leverage AWS services for Big Data, real-time processing, business intelligence, and machine learning. The architect will design and implement customer analytics solutions, develop engagement strategies, contribute to thought leadership through publications, and support customer success in building and migrating applications on AWS. The role involves collaborating with field teams, partners, and internal stakeholders to drive adoption of AWS analytics services. | — | 5 |
| Software Development Engineer, Devices Sales & Customer Experience Software Development Engineer for Amazon Devices, focusing on building and transforming the customer shopping experience for devices and digital subscriptions. This role involves using machine learning, big data, and AWS tools to create scalable platforms and services that cover the entire customer journey from search to checkout, both online and offline, across various devices and interfaces. | — | 0 |
| Solutions Architect - AWS Mexico, Telco, Media & Entertainment Solutions Architect for AWS Mexico, focusing on Enterprise and Telecommunications clients. The role involves designing cloud transformation strategies, building scalable and secure cloud architectures on AWS, and creating prototypes. It requires partnering with technical leaders, synthesizing customer insights, and developing thought leadership content. The position emphasizes deep technical discussions and hands-on prototype development to drive business outcomes. | — | 0 |
| Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience Sr. Software Development Engineer (Tech Lead) for Amazon Devices, focusing on building and scaling platforms and services for the customer shopping experience across various devices and channels. The role involves using machine learning, big data, and AWS technologies to enhance the customer journey from search to checkout, requiring strong technical expertise in distributed systems, object-oriented design, and system design. | — | 0 |