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 |
|---|---|---|
| Associate, ML Data Operations, GO-AI Operations This role is for an Associate, ML Data Operations, focusing on data annotation for Amazon Robotics. It's a non-technical role that supports the training and validation of ML models by performing precise annotation tasks on image, video, and text data. The work involves object detection, segmentation, tracking, and evaluation, with a strong emphasis on data integrity and quality. | Data | 5 |
| Data Engineer I, SSD/ R2L Infrastructure Data Engineer role focused on building and maintaining data pipelines and infrastructure, with a specific emphasis on contributing to generative AI initiatives and AI-enabled tools. Requires experience in data engineering, ETL, SQL, and scripting languages, with a plus for AWS and generative AI tool familiarity. | Data |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements to enhance labeling quality. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The role requires strong analytical skills, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing error patterns, and proposing solutions to enhance labeling quality. The goal is to support the responsible development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality. It requires strong attention to detail, analytical thinking, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| Data Scientist II, NASC S&OP The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layers of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality. | Data | 5 |
| Sr. Analytics Specialist SA, Solutions Architecture This role focuses on designing and implementing cloud-based analytics solutions on AWS, including data warehousing, data lakes, and real-time analytics. The specialist will help customers build data foundations for advanced analytics, ML, and AI, bridging data engineering and data science to enable feature engineering, experimentation, and model training data pipelines at scale. | Data | 5 |
| Associate, ML Data Operations, GO-AI Operations This role is for an Associate, ML Data Operations at Amazon Robotics, focusing on data annotation for training and validating machine learning models. It's a non-technical, operational role requiring attention to detail and judgment for tasks like object detection, segmentation, and tracking in image, video, and text data. | Data | 5 |
| Applied Scientist, Machine Learning Accelerator - Annapurna Labs This role focuses on developing a framework for creating custom tests for a Machine Learning Accelerator Chip using formal methods, SMT solvers, and custom software. It also involves using machine learning to automate content creation for the verification flow. | Data | 5 |
| AI Data Associate - Arabic, AGI DS The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include data annotation, quality assurance, root cause analysis of errors, and process improvement suggestions, all while maintaining strict confidentiality. The role requires strong analytical skills, attention to detail, and language fluency in Arabic and English. | Data | 5 |
| Catalog Specialist, WWRR Science Annotation Team This role supports ML model development by performing data annotation and labeling for training and evaluation, collaborating with science and product teams to ensure data quality and alignment with project objectives. The focus is on data preparation for ML models within the consumer domain. | Data | 5 |
| Wireless Science Manager, Device Connectivity This role manages a Wireless Science team focused on algorithm and science development for consumer electronics. It requires experience in wireless communications systems and machine learning, with a focus on managing teams and driving development from concept to production. | Data | 5 |
| Visual Design Associate, Books Design This role focuses on creating visual assets for audiobooks by adapting original book cover artwork, utilizing photo retouching and compositing skills. It involves using AI-powered generative tools and AI design agents to enhance and accelerate the production of these assets, ensuring adherence to design principles and brand guidelines. The associate will manage multiple projects, communicate with stakeholders, and deliver production-ready designs in a fast-paced environment. | Data | 5 |
| Data Engineer, Amazon Prime Video Product Analytics Data Engineer II on the Prime Video Product Analytics team, responsible for building and maintaining data infrastructure for out-of-app engagement and full-funnel customer journey analytics. This includes designing data models and ETL pipelines, enhancing AI tooling, and collaborating with Data Scientists on ML use cases. | Data | 5 |
| AI Data Associate - Arabic, AGI DS The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements to enhance labeling quality and operational efficiency. This position is crucial for the responsible development and deployment of large language models. | Data | 5 |
| Amazon Core Search Organization - Language Engineer, Core Search The Language Engineer role within Amazon's MIDAS team focuses on creating and managing data annotation guidelines and workflows to ensure the quality of labeled data used for training and evaluating AI models in the Search organization. This involves applying linguistic and scripting expertise to NLP and language understanding challenges, managing large datasets, and collaborating with scientists and engineers. | Data | 5 |
| Senior Economist, Decision Science - Devices Senior Economist role focused on developing and applying econometric/machine learning models for demand estimation and pricing recommendations for Amazon's consumer devices. The role involves scaling statistical methods, working with cross-functional teams, and influencing business decisions from product inception to launch. | Data | 5 |
| Catalog Specialist, RCX This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes. | Data | 5 |
| Catalog Specialist, RCX This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes. | Data | 5 |
| Catalog Specialist, WWRR Science Annotation Team This role supports ML model development by performing data annotation, training, and evaluation. The specialist will collaborate with product, technology, and science teams to ensure high-quality annotated data for classification algorithms, aiming to optimize model performance and improve annotation processes. | Data | 5 |
| Data Engineering Manager for Accounts Payables Technology, FinAuto Seeking an experienced Data Engineering Manager to lead a team responsible for the infrastructure and reliability of data pipelines for Accounts Payable systems. The role involves owning the end-to-end data architecture, driving operational excellence, and defining a 3-year strategic vision. A key focus is championing the adoption of AI/ML and generative AI to automate pipeline building, monitoring, and enhance data insights. The manager will also lead and develop a team of data engineers, foster best practices, and collaborate with stakeholders. | Data | 5 |
| Senior Data Scientist, Rapid & Rural Logistics (R2L) Science & AI Senior Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves informing the data science charter, finding opportunities using data-driven insights and machine learning models, and supporting stakeholders with high velocity analytics. Key responsibilities include diving deep into data, producing high-quality analyses with clear findings and recommendations, and balancing unknowns with delivering results. | Data | 5 |
| Software Development Engineer II, AWS Data Platform Software Development Engineer II on the AWS Data Platform team, responsible for building and maintaining data infrastructure, processing workflows, and tooling at massive scale. The role involves ingesting, transforming, cataloging, governing, and consuming data, with an increasing focus on leveraging generative AI and semantic layer technologies for data discoverability and natural-language access. | Data | 5 |
| Sr. Software Development Engineer, AWS Insights & Optimizations Senior Software Development Engineer for AWS Analytics and Machine Learning team, focusing on processing large volumes of customer usage data to provide intelligent cost management products. The role involves technical leadership, architectural challenges, and collaboration with Data Scientists to enable features through analytics and ML. | Data | 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 |
| 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 Scientist, AWS Support Capacity Planning Data Scientist role at AWS focused on capacity planning, using statistical modeling, machine learning, and optimization to forecast contact volumes and drive operational improvements. The role involves building and managing modeling projects and forecasting solutions, requiring expertise in data science, forecasting, optimization, and machine learning. | Data | 5 |
| Data Engineer II, Creator Services Data Engineer II role focused on building production-grade ETL/ELT pipelines and data models to support AI-driven initiatives and self-service analytics within Amazon's Creator Services team. The role involves leveraging AWS services and collaborating with BI engineers and business stakeholders to drive monetization outcomes for creators. | Data | 5 |
| AI Data Associate - Arabic, AGI DS The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include data annotation, quality assurance, root cause analysis of errors, and process improvement suggestions, all while maintaining strict confidentiality. The role requires strong analytical skills, attention to detail, and language fluency in Arabic and English. | Data | 5 |
| Senior Data Engineer, Shopping Foundation Senior Data Engineer responsible for building data foundations and observability frameworks for AI-powered shopping experiences, focusing on large-scale data systems and LLM data applications. | DataAgent | 5 |
| Business Intelligence Engineer- II, Sales AI This role is for a Business Intelligence Engineer focused on building the data foundations and pipelines for AI agents in the advertising and B2B sales domain. The engineer will design data models, create analytical infrastructure, and ensure data flows from various systems into a unified context layer for AI agents to reason over. They will also build reporting and measurement systems to track agent performance and business impact. The role involves end-to-end ownership of data, from ingestion to serving layers, and collaboration with Applied Scientists. | DataAgent | 5 |
| Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS) Software Development Engineer role focused on building scalable data systems for Amazon's Ad Tech division. The role involves managing massive-scale streaming systems, applying machine learning and data science expertise with Big Data technologies like Spark to drive optimizations and insights within a privacy-safe, cloud-based environment. | Data | 5 |
| Data Scientist II - AMZ27351.1 Data Scientist II at Amazon Web Services responsible for designing and implementing scalable data science approaches, acquiring and analyzing data, and building and validating statistical and machine learning models. The role involves working with large datasets, SQL/ETL, and various modeling software. | Data | 5 |
| Catalog Specialist, WWRR Science Annotation Team The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes. | Data | 5 |
| Software Development Engineer, Data Platform , Fauna Software Development Engineer to build foundational data systems for robotics and machine learning development, focusing on infrastructure for data collection, storage, processing, and transformation from robots. The role involves owning services, APIs, and distributed systems, partnering with scientists and engineers, and developing systems for ML training data preparation. | Data | 5 |
| Data Scientist , AMXL Worldwide Science Data Scientist role focused on applying machine learning, time series forecasting, and operations research to optimize logistics and delivery for Amazon's heavy and bulky items business. The role involves analyzing large-scale data, developing and deploying predictive models for routing, capacity planning, demand forecasting, and workforce scheduling, and building automated data and model pipelines. | Data | 5 |
| Data Scientist, WW DSP Analytics This role focuses on applying data science and machine learning techniques to optimize delivery operations, performance measurement, and program policies for Amazon's Last Mile Delivery Service Partner (DSP) program. The Data Scientist will develop science solutions, leverage ML for forecasting and performance measurement, analyze risks, and build production-scale analytics. A key aspect is accelerating the GenAI footprint and improving developer productivity. The role involves analyzing complex datasets and collaborating cross-functionally to drive business outcomes. | Data | 5 |
| Senior Cost Engineering Manager, Cost Engineering Senior Cost Engineering Manager to lead cost engineering on large-scale construction projects, shaping the future of AI-powered cost intelligence. This role involves influencing negotiations, presenting to senior leadership, and co-developing AI-driven tools for cost modeling, negotiation, and management within Amazon's Global Procurement Organization. | Data | 5 |
| System Development Engineer I, Amazon WWR&R The System Development Engineer I on the Worldwide Returns, ReCommerce & Sustainability (WWR&R) team at Amazon will focus on automation, tool development, troubleshooting, and software maintenance. This role involves working with internal software projects, automating support processes, and ensuring system documentation. The team uses machine learning models for routing and optimization within the returns and recommerce domain. | Data | 5 |
| Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements Senior Data Engineer responsible for building and maintaining backend data infrastructure for analytical platforms and applications, with a focus on leveraging generative AI and AWS services to create data products and feature stores for GenAI applications. This includes end-to-end development of data engineering solutions, architectural improvements, and ensuring data quality. | DataAgent | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role within AWS Applied AI Solutions, focusing on building and maintaining the secure data foundation for AI-driven business applications. Responsibilities include owning production systems for the complete data lifecycle (ingestion to model training to opt-out controls), maintaining and refactoring existing services, designing new solutions for data access and authorization, and ensuring privacy, security, and compliance. The role involves working with scientists and engineers to enable AI model development while adhering to strict governance standards. | Data | 5 |