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, EU INTech Consumer Selection Discovery, NintAI Applied Scientist role focused on building and deploying AI/ML models for Amazon's global search and discovery experiences, with an emphasis on computer vision, generative AI, recommendation systems, and ranking. The role involves end-to-end ownership from problem analysis to production deployment, aiming to improve customer navigation and product discovery. | Ship | 9 |
| Applied Scientist, EU INTech Consumer Selection Discovery, NintAI Applied Scientist role focused on building and deploying AI/ML models for Amazon's global search and discovery experiences, aiming to improve customer navigation and product discovery. The role involves end-to-end ownership from problem analysis and science plan design to production deployment, with a focus on ranking, computer vision, and generative AI. | Ship |
| 8 |
| Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery Amazon is seeking Applied Scientists to build software and machine learning models for customer discovery experiences, focusing on ranking, recommendations, and computer vision. The role involves developing and deploying state-of-the-art models, including text-to-image and image-to-text, to enhance customer engagement with the Amazon catalog. | Ship | 8 |
| Partner Solutions Architect, Agentic Business Processes, AWS Partner Field EMEA Partner Solutions Architect focused on Agentic AI, working with AWS partners across EMEA to help them build and deliver AI agent solutions that automate and augment complex workflows. This involves enabling partners on Agentic Orchestration, Amazon Bedrock, and Frontier Agents, and guiding them through the Agentic Process Transformation (APT) methodology. | Agent | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on designing and executing experiments to measure the effectiveness of marketing campaigns at Amazon scale. The scientist will build measurement frameworks, apply causal inference methods, and establish experimental standards for lifecycle marketing, ultimately guiding marketing strategy and investment decisions. The role is within the consumer domain and involves scaling existing AI/ML applications. | Ship | 7 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models for logistics operations, aiming to enhance route planning, scheduling, and delivery execution. The analyst will leverage advanced SQL, Python/R, and AI technologies to create intelligent dashboards, predictive models, and automated reporting systems, working at the intersection of operations, analytics, and automation to drive efficiency and scale across the network. | Agent | 7 |
| Machine Learning Engineer, Amazon Tablets ML Engineer role focused on building and deploying AI/ML products for Amazon Tablets, specifically enhancing customer engagement through personalized recommendations and content ranking. The role involves end-to-end ML pipeline development, MLOps, and leveraging deep learning, LLMs, and generative AI for on-device experiences. It emphasizes shipping customer-facing ML solutions at Amazon scale. | ShipServe | 7 |
| Software Dev Engineer Machine Learning Software Development Engineer Machine Learning role focused on improving video and audio streaming experience for smart home devices. The role involves optimizing ML/AI frameworks for real-time inference, optimizing training pipelines, analyzing model performance, and leveraging GenAI tools for development productivity. It requires experience with video/image processing, computer vision, machine learning, and cloud computing, with a focus on scalable services and distributed systems. | Serve | 7 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers in EU marketplaces. The role involves developing custom models (embeddings, persona matching) using Python and Spark, building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI) for marketing teams. It also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns. | AgentData | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship focused on research in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, OR, quantum computing, automated reasoning, or formal methods. The role involves designing and developing end-to-end systems, writing technical papers, creating roadmaps, and driving production-level projects. Experience with publications at top-tier conferences and solving business problems with ML/data mining/statistical algorithms is preferred. | Post-train | 7 |
| Partner Solutions Architect, CX & Business Applications, AWS Partner Field EMEA This role involves working with AWS partners to enable them to build and bring to market solutions using AI-driven development methodologies and tools, focusing on customer experience and workforce productivity. The Partner Solutions Architect will provide technical guidance, develop enablement content, and support go-to-market motions, including building prototypes and proof-of-concept solutions that demonstrate AI-DLC in practice. The role emphasizes thought leadership on Next-Generation Software Development and representing partner needs to AWS service teams. | Agent | 5 |
| Business Analyst, Translation Services Operations This role focuses on analyzing and improving vendor invoicing processes within Amazon's Translation Services team. While it involves leveraging AI/ML capabilities for automation and process simplification, the core function is business analysis and operational improvement, not direct AI/ML model development or research. The role aims to optimize quality, speed, and cost, and involves building dashboards, automating processes, and ensuring financial accuracy and compliance. | — | 5 |
| Account Manager This role is for an Account Manager at Amazon, focusing on growing complex vendor accounts across multiple EU marketplaces. The role involves strategic planning, operational excellence, marketing, and product lifecycle management. While the role leverages generative AI tools for insights and decision-making, it does not involve building or shipping AI models. | — | 5 |
| Software Development Engineer, RBKS DSO EU Software Development Engineer role focused on backend systems for consumer devices (Ring), emphasizing low-latency, high-uptime systems and iterative development. The role involves leveraging generative AI tools to improve development processes. | — | 5 |
| Software Development Engineer (Java&AWS), Ring Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services. | — | 5 |
| Area Manager, FC Operations Area Manager role focused on leading operations teams in a fulfillment center to ensure safety, efficiency, and quality in order fulfillment. The role involves process improvement, data analysis for decision-making, and stakeholder management within Amazon's Customer Fulfilment division. | — | 0 |
| Associate Account Manager Associate Account Manager (Brand Specialist) at Amazon responsible for owning the relationship with brands, developing short- and long-term strategies for growth and customer satisfaction. This involves using data-driven insights to build customer-centric strategies, providing guidance on selection, promotions, and growth, and monitoring success metrics. The role also involves working with internal stakeholders like Category Management, Supply Chain, Finance, and Marketing to implement new ideas and processes. | — | 0 |
| Systems Engineer, Managed Operations This role is for a Systems Engineer on the AWS Managed Operations team, focusing on building, operating, and evolving operations for the European Sovereign Cloud (ESC). The role involves ensuring high availability and performance of AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers, with responsibilities including overseeing operations, collaborating with global teams, contributing to service evolution, and participating in on-call rotations. The focus is on operational excellence and scalability of cloud services. | — | 0 |
| System Engineer, Managed Operations System Engineer for AWS Managed Operations, focusing on building, operating, and evolving teams for the European Sovereign Cloud (ESC). Responsibilities include overseeing operations, collaborating with global teams, and ensuring high availability of services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. | — | 0 |
| AMOC Area Maintenance Manager, AMOC Area Maintenance Manager This role manages maintenance operations for Amazon's global facilities, focusing on monitoring, predicting performance issues, and planning maintenance activities. It involves leading a team, developing business strategies, and optimizing digital maintenance systems for remote monitoring of building infrastructure and cold rooms. | — | 0 |
| Systems Engineer/DevOps Eng, ESC Managed Operations This role is for a Systems Engineer/DevOps Engineer focused on building, operating, and evolving the European Sovereign Cloud (ESC) for AWS. It involves ensuring high availability, reliability, and performance of core AWS services for EU customers, with a strong emphasis on automation and operational excellence. The role requires collaboration with global AWS teams and occasional on-call rotations. | — | 0 |
| Sr Software Development Engineer, Amazon Business, Buy Journey Senior Software Development Engineer role focused on building and improving the buy journey for Amazon Business customers. This involves designing scalable software architecture, delivering personalized experiences using machine learning and data engineering, and applying software engineering best practices. The role emphasizes technical leadership, system design, and operational excellence within a fast-paced environment. | — | 0 |
| Software Developer Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for diverse languages, cultures, and regions. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies and machine learning. | — | 0 |
| Software Developper Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for multi-lingual and multi-cultural user experiences. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies including machine learning. | — | 0 |
| Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization | — | — |