Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
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 |
|---|---|---|
| FR Annotations Auditor, Community Feedback Annotation Team This role involves evaluating annotated datasets for natural language processing models, ensuring accuracy and consistency. It focuses on data quality for training generative AI. | Data | 5 |
| Software Development Engineer, AWS Kumo Health Experience Software Development Engineer role within AWS Kumo Health Experience team, focusing on scaling AWS support capabilities. The team uses machine learning to understand customer behavior, predict intent, personalize content, and automate issue resolution via chatbots. The role involves contributing to a complete vertical stack of an SOA-based system, using various technologies including Kotlin, Java, JavaScript, React, Node, Elastic Search, and native AWS services. | — | 5 |
| Solutions Architect, SSA |
| — |
| 5 |
| Business Analyst, Amazon This role focuses on assessing the quality of data used for training AI models and providing insights to improve model performance. The Business Analyst will manage a team responsible for data annotation quality, conduct data analysis, and report findings to science and engineering teams. While the role works with AI-generated data and ML models, the core responsibility is quality assessment and data analysis, not direct AI model development or research. | — | 5 |
| DE Annotations Auditor (German fluent), Community Feedback Annotation Team The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity. | Data | 5 |
| Senior Account Manager: Public Sector Senior Account Manager for AWS Public Sector in South Africa, responsible for driving growth, market penetration, and managing key customer accounts. Focuses on digital transformation through engagements with C-level executives and IT leaders, representing the full portfolio of AWS products and services. | — | 0 |
| Software Development Manager, EC2 Instance Placement Lead a team of Software Development Engineers to build and run the control plane and data streaming systems that drive EC2 instance placement decisions. Create the vision and drive the roadmap for your team, thinking big about how data can be leveraged to improve how EC2 offers compute power to customers. Attract and grow hire-performing engineers for your team. Mentor and coach your team members and foster an inclusive engineering culture. Maintain a high-level of operational excellence. Lead and refine the team’s agile software development process. The successful Software Development Manager has solid technical leadership experience and a proven track-record in managing teams to deliver results. You have a strong software engineering background, with an interest towards optimization, machine learning and data streaming technologies. You demonstrate bias for action to get the right things done and engage thoughtfully with customers and stakeholders to understand their needs. You show excellent judgement in establishing priorities, and can successfully manage implementation in an agile environment. | — | 0 |
| Software Development Engineer, AWS Kumo Last-Mile Software Development Engineer role within AWS Kumo Last-Mile team, focusing on scaling AWS support capabilities through innovative solutions, automation, and customer-centric IT support. The role involves contributing to the complete vertical stack of an SOA based system, utilizing various technologies including Kotlin, Java, JavaScript, Ruby, and AWS services. The team employs machine learning for understanding customer behavior, predicting intent, personalizing content, and automating issue resolution via chatbots. | — | 0 |
| Software Development Manager Lead a team of Software Development Engineers to build and run control plane and data streaming systems for EC2 instance placement. The role involves creating vision and roadmap, attracting and growing talent, mentoring, and fostering an inclusive engineering culture. Requires solid technical leadership, a strong software engineering background with an interest in optimization, machine learning, and data streaming technologies, and experience in managing teams to deliver results in an agile environment. | — | 0 |
| Transportation Planning Manager, ZA This role is for a Transportation Planning Manager within Amazon's MEATR Supply Chain team, focusing on program management for transportation operations. Responsibilities include end-to-end planning, forecasting, flow control, capacity management, and launching strategic programs to improve planning and forecasting. The role requires experience with data analysis tools, stakeholder management, and making data-driven decisions. While AI/ML applications are mentioned as preferred qualifications, the core of the role is in traditional supply chain and program management. | — | 0 |