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 |
| Applied Scientist II, Amazon Business, Amazon Business - GTMO Science Applied Scientist II role at Amazon Business focused on revolutionizing sales productivity using AI-powered solutions. The role involves developing tools for Account Executives (AEs) to prioritize accounts, recommend products, and engage customers more effectively. It leverages machine learning and Generative AI to outreach customers based on their behavior and purchase history, and performs text mining on customer conversations to recommend solutions. The scientist will partner with product, tech, and sales teams to launch and scale global AI products, with a focus on improving customer experience and sales efficiency. | AgentData | 8 |
| Applied Scientist II, Amazon Business, Amazon Business - GTMO Science Applied Scientist II role at Amazon Business focused on revolutionizing sales productivity using AI-powered solutions. The role involves developing tools for Account Executives (AEs) to prioritize accounts, recommend products, and engage customers more effectively. It leverages machine learning and Generative AI to outreach customers based on their behavior and purchase history, and performs text mining on customer conversations to recommend solutions. The scientist will partner with product, tech, and sales teams to launch and scale global AI products, with a focus on improving customer experience and sales efficiency. | AgentData | 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 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on developing and deploying 1P audience segments for Amazon's EU marketing campaigns, using causal inference and machine learning to measure incremental lift and optimize marketing spend. The goal is to move beyond platform-led optimization to more personalized customer experiences, building reusable frameworks for scalable experimentation and informing future marketing strategies. | Agent | 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 |
| 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 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves owning the data lifecycle and building multi-agent solutions to automate data engineering tasks, with contributions to the shared data platform. | AgentData | 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 |
| Applied Scientist, EU INTech Consumer Selection Discovery, Tamale Applied Scientist role focused on building GenAI-powered data solutions, agentic systems for quality issue detection, and ranking/recommendation models for e-commerce. The role involves designing, developing, testing, and deploying scalable ML solutions, working with state-of-the-art models like LLMs and image-to-text. | AgentServe | 7 |
| Sr. Applied Scientist, Amazon Books This role focuses on developing and implementing novel algorithms and agentic systems at the intersection of AI, LLMs, NLP, search, and deep learning for the Amazon Books team. The goal is to advance the state-of-the-art and build technologies that enhance customer discovery experiences for millions of users. | Agent | 7 |
| Senior Software Development Engineer, Discovery Tech Senior Software Engineer to lead the design and evolution of AI-driven systems for generating, selecting, and optimizing marketing and merchandising assets at scale across Amazon worldwide. The role involves building systems that automatically produce and adapt images, text, and multimodal content, balancing creative flexibility, brand constraints, and performance. It requires end-to-end ownership across model integration, distributed services, and measurement frameworks, with a focus on architectural leadership and mentoring. | ShipAgent | 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 |
| Business & Process Improvement Analyst, Amazon Key for Business This role focuses on business and process improvement within Amazon Key's operations, leveraging AI tools to identify automation opportunities and streamline processes. The analyst will also be responsible for business reporting and defining dashboard requirements, working under the guidance of senior team members. The ideal candidate is analytically curious and eager to drive operational improvements. | — | 5 |
| Program Manager, Translation Quality, Translation Services Operations Program Manager for Translation Services Operations at Amazon, focusing on defining and driving quality mechanisms, standards, and frameworks for machine translation and LLM development. This role involves cross-functional partnership, data analysis, and process improvement to ensure translation quality across numerous language pairs and content types. | — | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building backend systems for Ring devices, with an emphasis on low-latency and high-uptime. The role involves designing, implementing, and testing distributed systems and microservices, with a secondary mention of leveraging generative AI tools for development productivity. | — | 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 |
| Data Engineering Manager, Ring Agent Platforms Manager of Data Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The team will build multi-agent solutions to automate data engineering tasks and use generative AI tooling daily. The role involves partnering with BI, applied science, and product teams, and contributing to shared platform infrastructure. | AgentData | 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 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on building measurement and experimentation frameworks for lifecycle marketing campaigns within Amazon's EU Prime and Marketing Analytics & Science (PRIMAS) team. The scientist will design and execute experiments to measure campaign effectiveness, establish experimental standards, and apply causal inference methods to guide marketing strategy and investment decisions. The role involves working with various marketing channels and platforms, analyzing results, and providing optimization recommendations. | Ship | 5 |
| Systems Engineer, ESC Managed Operations Seeking experienced systems engineers for AWS European Sovereign Cloud (ESC) initiative, focusing on building and leading operations and development teams for high-availability AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. Responsibilities include overseeing ESC launch, collaborating with global teams, influencing service evolution, and ensuring operational excellence in availability, reliability, and performance. Requires occasional on-call rotations and fluency in English, with candidates needing to be EU nationals residing in the EU. | — | 0 |
| 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 |
| Vendor manager - Fixed Term, EU Pets Vendor Manager role focused on product selection, vendor relationships, inventory management, and business analysis within Amazon's EU Pets division. The role involves influencing category design, developing new product groups, and improving customer selection. It is an 8-month fixed-term position. | — | 0 |
| Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning This role is for a Senior Business Intelligence Engineer focused on delivery speed and long-term planning within Amazon's Operations. The primary responsibilities involve data engineering, advanced metrics development, reporting, and deep-dive data analysis using SQL to provide actionable business insights and improve complex tech systems in the supply chain. The role requires strong analytical skills, stakeholder management, and experience with AWS technologies and BI tools. | — | 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 |
| Software Development Engineer, EU INTech - EUIC - Tamale Software Development Engineer role focused on building and scaling software and ML models for Amazon's EU INTech customer discovery experience, involving ranking, computer vision, and recommender systems. | — | 0 |
| Capacity Planning Manager, Pickup and Return Points This role is a Capacity Planning Manager for Amazon's Pickup & Returns team, focusing on building and delivering consensus demand plans across global marketplaces, with a strong emphasis on Europe. The manager will develop and maintain forecasting tools, models, and scalable processes to improve forecast accuracy and drive sales strategies. Key responsibilities include building demand planning models, providing risk analysis, driving process improvements for demand planning tools, reviewing historical sales trends, researching demand drivers, validating sales inputs, developing statistical forecast models, evaluating forecast results, and collaborating with various stakeholders (product management, sales, marketing, finance, channel owners) to understand demand drivers and impacts. | — | 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 |
| 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 |
| Retail Vendor Manager, Retail Vendor Recruitment This role is for a Vendor Manager in Amazon Fashion & Sports, focused on driving scaled growth in the European retail business by cultivating vendor partnerships and onboarding desired brands. The responsibilities include identifying, prospecting, and launching new vendors, acting as a business consultant to new vendors, growing their product selection, optimizing online presence, and analyzing performance. The role also involves owning projects and driving results with cross-functional stakeholders, with an opportunity to recognize where generative AI could enhance products, workflows, or customer experience. | — | 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 | — | — |
