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 |
|---|---|---|
| Senior Deep Learning Architect, Generative AI Innovation Center Senior Deep Learning Architect role focused on implementing and scaling Generative AI solutions for AWS customers. Responsibilities include collaborating with scientists, using foundation models, building cloud environments for ML workflows, interacting with customers to understand business problems, analyzing data, driving model implementations, and mentoring junior team members. Requires experience with ML fundamentals, deep learning frameworks, and deploying large-scale ML models into production, with a strong preference for generative AI technologies like prompt engineering, RAG, fine-tuning, and RLHF. | AgentPost-train | 8 |
| Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center This role focuses on researching, designing, and developing generative AI algorithms and ML techniques to solve real-world challenges for AWS customers. The scientist will collaborate with internal teams and directly with customers to understand business problems, implement AI solutions, and provide feedback to product and engineering teams. Key responsibilities include working with deep learning, deploying ML solutions, and understanding generative AI and foundational models. |
| Serve |
| 8 |
| Senior Machine Learning Engineer, AWS Generative AI Innovation Center Senior Machine Learning Engineer at AWS Generative AI Innovation Center focused on designing, implementing, and optimizing generative AI solutions for AWS customers. The role involves working with customers to develop bespoke solutions, including fine-tuning and optimizing SLM/LLM models, and addressing complexities in distributed training and low-latency model hosting. | Post-trainServe | 8 |
| AWS Cloud Architect, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth This role involves architecting and designing cloud solutions for enterprise customers, with a specific focus on AI and Agentic AI architectures within the AWS Professional Services team. The role requires collaboration across Amazon business units and engagement with customers in pre-sales and implementation phases, translating technical concepts into business value. Fluency in Japanese is essential. | Agent | 7 |
| Analytics Solutions Architect Specialist Solutions Architect focused on designing and building agent-ready data platforms that leverage generative AI, RAG, semantic search, and real-time streaming for customers. The role involves providing best practices, designing reference architectures, and influencing service roadmaps. | AgentData | 7 |
| Senior Applied Scientist, Japan Prime & Marketing Senior Applied Scientist role focused on building and deploying machine learning models for personalization, customer growth, and optimization within Amazon's Japan Prime & Marketing division. The role involves end-to-end ownership from problem formulation to production deployment, with a focus on impacting millions of customers and influencing business strategy. Requires experience in ML model development, A/B testing, causal inference, and collaboration with engineering teams for low-latency systems. | ShipAgent | 7 |
| Senior Analytics Solutions Architect Senior Solutions Architect specializing in analytics, big data, search, and streaming, focusing on designing and building agent-ready data platforms that leverage generative AI and AI agents for autonomous data analysis and decision-making. The role involves providing best practices, designing reference architectures, and contributing to service roadmaps. | AgentData | 7 |
| Senior Applied Scientist, JP Science and Data - AVS ProServe Senior Applied Scientist role focused on developing and applying machine learning algorithms to solve business problems for vendors, enabling them to understand customers and identify growth opportunities. The role involves building orchestrated ML solutions, translating model outputs into actionable insights, measuring business impact, and leading cross-functional collaboration. | Agent | 7 |
| Senior Data Scientist, JP Seller Services Senior Data Scientist for Amazon JP Seller Services, focusing on developing and scaling AI-native solutions, including recommendation models using generative AI and ML, to drive seller growth and optimize engagement strategies on Amazon Marketplace. | Agent | 7 |
| Applied Scientist, JST Science Applied Scientist role focused on designing, implementing, and delivering machine learning models for Amazon's Japanese customer experience in areas like Search, Personalization, and Delivery. The role involves innovating new models, analyzing data, publishing research, and integrating solutions into production systems with a focus on both performance metrics and millisecond response times. | Ship | 7 |
| Amazon Quick Delivery Engineer , Amazon Quick Customer Success Team (Q-CST) This role focuses on architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Quick and Bedrock for customer success. It involves designing and implementing solution blueprints, integrating Gen AI capabilities into existing systems, and providing guidance on data preparation, model training, and deployment strategies. The role also includes customer updates and SFDC hygiene. | ShipPost-train | 7 |
| Sr. Applied Scientist, JP Manga Sr. Applied Scientist role focused on developing AI prototypes and concepts for the JP Manga business, involving research, design, and training/tuning of NLP and Computer Vision models for applications like translation, summarization, extraction, boundary detection, image understanding, and generation. The role emphasizes tangible business impact and collaboration with product managers and engineers, with opportunities for publication. | Post-train | 7 |
| Senior AI Sales Specialist (Startup), AWS Global Sales Senior AI Sales Specialist for AWS, focusing on Generative AI and Agentic AI technologies for startup customers. The role involves understanding customer goals, translating AI capabilities into business value, supporting adoption at scale, and contributing to revenue growth. Responsibilities include sales target achievement, account planning, technical discovery, solution design guidance, and customer engagement. | — | 5 |
| Innovation Programs Lead, AWS APJ Innovation and Engagement This role focuses on driving customer impact and business outcomes by leveraging AWS technology and Amazon's innovation culture, with a specific emphasis on generative AI, agentic systems, and applied AI. The lead will facilitate executive engagements, build scalable mechanisms, and develop next-generation content to help enterprise customers realize value from their AI investments. | — | 5 |
| Economist II, JP Economics & Decision Sciences, JP Economics and Decision Sciences Seeking an Economist to apply economic and econometric methods to guide business decisions in Amazon's JP marketplace. The role involves building causal inference models to measure initiative impact, optimizing pricing and selection, and collaborating with data scientists and engineers. The Economist will also design and analyze experiments, develop analytical frameworks in R/Python/Stata, and present findings to stakeholders. This role is pioneering for economists outside North America and EU, aiming to expand Amazon's economist community in Asia and impact international operations. | — | 5 |
| Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence This role focuses on customer success and business transformation for enterprise clients adopting AWS's generative AI platform (Amazon Quick). The specialist will design strategies, develop methodologies, and enable partners to help customers move from AI experimentation to systematic business process reinvention at scale. The role involves thought leadership, influencing product roadmaps, and driving measurable business value realization through AI adoption. | — | 5 |
| パートナー ソリューション アーキテクト、AWS AWS Partner Solutions Architect role focused on enabling partners to leverage cloud and AI technologies. Responsibilities include technical consulting, solution design, hands-on support, and developing technical roadmaps for partners. Emphasizes effective AI utilization, including model selection, RAG, prompt engineering, and AI agents, to drive partner transformation and business outcomes. | Agent | 5 |
| Sr Product Manager, Marketing Productivity, JP Seller Service This role is for a Senior Product Manager focused on marketing productivity tools within Amazon Japan. The primary responsibility is to understand the needs of the Japan marketing team, identify opportunities for technology (especially generative AI and automation) to improve their workflows, and develop product strategies and roadmaps. The role involves partnering with global product teams, cross-functional teams (Engineering, Data Science), and driving end-to-end product delivery. While the role leverages AI tools and focuses on AI-powered marketing, it is not a hands-on AI/ML development role. | — | 5 |
| Sr. Product Manager, JCI Measurement and Optimization Science Team (JCI MOST) This role is for a Senior Product Manager on the JCI Measurement and Optimization Science Team at Amazon Japan. The primary focus is on developing products and solutions for cost-to-serve measurement capabilities, collaborating with business, tech, and science teams. The role involves defining product roadmaps, identifying business challenges, and leveraging global solutions for the JP market. While the company uses AI/GenAI tools, this specific role is product management focused on operational efficiency and measurement, not direct AI/ML model development. | — | 5 |
| Program Manager, ACES(業務改善), ROC, Amazon Transportation Services, Amazon Transportation Services Relay Operation Center This role focuses on improving operational quality, safety, and cost within Amazon's transportation network by analyzing data, implementing standardized and automated processes, and developing new technology-driven workflows. It involves identifying improvement opportunities, collaborating with delivery partners, and contributing to a scalable and sustainable transportation network. The role also involves leveraging AI and GenAI tools to enhance decision-making and operational efficiency. | — | 5 |
| Sr Product Manager, GenAI Knowledge Manager, JP Seller Service This role is for a Senior Product Manager focused on GenAI Knowledge Management for JP Seller Service. The primary responsibility is to design and build a Knowledge Governance Framework from scratch, own the configuration and maintenance of an AI-powered knowledge platform, and improve how knowledge assets are collected, organized, shared, and applied to enhance AI tool value. The role involves bridging local business needs with a global product team and influencing the central product roadmap. It aims to solve problems of knowledge hoarding and scattered information by building systems, culture, and incentives that turn individual knowledge into a shared organizational asset. | Agent | 5 |
| Principal Customer Solutions Manager, Global Financial Services (GFS), AWS This role is a Principal Customer Solutions Manager for AWS Global Financial Services in Japan. The primary focus is to lead cloud transformation strategies for major financial institutions, including driving AI/ML and Generative AI adoption from proof-of-concept to production. The role involves engaging with C-suite executives, managing complex programs across geographies and regulatory environments, and delivering measurable business outcomes. It is a customer-facing, strategic, and program management-oriented position within the fintech domain, operating at a scaling maturity level for AI adoption. | — | 5 |
| デリバリーステーション・オペレーションマネージャー Operations Manager for Amazon Logistics (AMZL) in Hiroshima, Japan. Responsible for inbound, outbound, and sortation operations, leading managers and associates. Focuses on improving safety, quality, performance, and customer experience, while also driving operational improvements and implementing new services. The role actively incorporates AI and Generative AI tools to accelerate decision-making and improve efficiency. | — | 5 |
| HRアソシエイト, WFS Japan This role supports Amazon's global recruitment team by managing recruitment activities for various operational departments in Japan. Responsibilities include managing the end-to-end recruitment process for direct hires, supporting shift allocation for temporary staff, and tracking/improving recruitment processes. The role requires experience with HR or operations support, proficiency in Microsoft applications, and the ability to travel within the assigned area. While the role uses AI tools, it does not involve building or developing AI models. | — | 5 |
| HRアソシエイト, WFS Japan This role supports Amazon's global recruitment team by managing the end-to-end hiring process for contract employees in Japan, including supporting shift scheduling for temporary staff. The associate will handle inquiries, organize hiring events, manage relationships with staffing agencies, and ensure accurate record-keeping and process improvement. While the role itself is not directly building AI, it operates within a company that heavily utilizes AI tools to enhance operations and decision-making, and the role involves interacting with and potentially utilizing these AI tools. | — | 5 |
| Sr. Product Manager, Pricing & SX, Amazon Business Marketplace The Senior Product Manager will define the product strategy and roadmap for strategic initiatives impacting top and bottom line growth for Amazon Business, with a focus on pricing innovation and transforming the seller experience through generative AI and next-generation tooling. This role involves understanding seller needs, leveraging their capabilities, and optimizing the seller journey. The position requires interaction with senior management and co-ownership of global initiatives, aiming to enable sellers' success on Amazon. Key responsibilities include developing pricing strategies, launching global initiatives, writing business cases, and conducting competitive analysis. The role emphasizes applying emerging technologies, including generative AI, to reimagine seller operations and growth. | Agent | 5 |
| Strategic Supply Chain Manager, JP Books This role is for a Strategic Supply Chain Manager in Amazon's Books division. The primary focus is on improving customer and vendor experience through supply chain optimization, including demand forecasting, ordering, and inventory management. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and product delivery, not in building or researching AI models themselves. | — | 5 |
| Senior Product Manager-Monetization, Japan Monetization Team Senior Product Manager for Amazon Japan's Monetization team, focusing on developing and launching innovative solutions for Incentives & Monetization growth. This role involves defining product strategy, driving 0 to 1 initiatives, and working cross-functionally with engineering, data science, and marketing teams to enhance customer and selling partner experiences, with a focus on personalization and incentive programs. The role leverages AI/ML tools and platforms to achieve business objectives. | — | 5 |
| Customer Solutions Manager / カスタマーソリューションマネージャー, AWS This role is a Customer Solutions Manager at AWS, responsible for leading cloud transformational programs and driving AI adoption for customers. The role involves understanding customer business objectives, translating them into executable plans, and collaborating with various AWS teams and partners to ensure successful implementation and adoption of AWS services, including AI solutions. The manager will also contribute to shaping the Customer Solutions Management function by leveraging generative AI. | Ship | 5 |
| Startup Account Manager, Startup Japan This role is for a Startup Account Manager at AWS, focusing on driving growth and revenue within well-funded, high-potential startups. The position requires strong sales acumen, knowledge of the startup ecosystem, and familiarity with AI/ML. Responsibilities include achieving sales quotas, crafting partnerships, accelerating service adoption, and building strategic relationships with key accounts and influencers. The role involves close collaboration with internal teams and business development to execute go-to-market strategies. | — | 5 |
| Data Associate（中国語or韓国語), AGI Data Services The role involves evaluating and labeling various data types (text, audio, image, video) to improve AI quality and support AI development. It includes generating human judgment data, monitoring harmful content generated by AI, and managing data security. The role also focuses on quality control, proposing solutions for improvement, and supporting AI development by making appropriate judgments with incomplete information. Translation of guidelines is also a responsibility. The role requires native-level Chinese or Korean and business-level Japanese or English. | Data | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Software Development Engineers , Amazon Japan Store Tech Software Development Engineers at Amazon Japan Store Tech will design, develop, test, deploy, and maintain distributed software solutions. This role is focused on complex optimization problems within the Amazon Points Platform, which has expanded globally. The team uses AI agents for various aspects of software development and operations, including turning requirements into code changes, monitoring services, and triaging issues. Engineers will be both users and creators of these AI tools, working on platform problems at a worldwide scale. | Ship | 5 |
| Sr. Amazon Q Strategist, Amazon Quick Customer Success Team, AWS This role focuses on driving customer success and adoption of Amazon Q, a generative AI service. The strategist will architect and implement solutions, lead transformation programs, and work with customers and internal teams to realize business value. While it involves generative AI services, the core craft is customer-facing product strategy and implementation, not direct AI/ML model building. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Director, Sales Operations, Japan, Global Sales Operations Director of Sales Operations for AWS Japan, focusing on driving long-term business growth through data analysis, forecasting, and optimizing business processes. The role involves supporting Generative AI initiatives to unlock data-driven insights and customer innovation, but the core function is sales operations and strategy, not direct AI/ML model development. | — | 5 |
| Program Manager, Central Operations Program Manager to drive improvement in processes and technology used within the operational team for Amazon Logistics (AMZL). This role will work alongside AI and GenAI tools to accelerate decision-making and focus on work that matters. | — | 5 |
| Economist I, JP Econ & Decision Sciences The JP Economics and Decision Sciences team is a central science team that applies rigorous economic theory, causal inference methods, and machine learning to solve complex business challenges across the JP marketplace and beyond. We work closely with JP business leaders to drive change at Amazon, focusing on solving long-term, ambiguous problems while providing advisory support for short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic and econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP-, EU-, and US-based interdisciplinary teams. | Data | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Product Manager Technical, JP Store Tech, AI Shopping Experience and Marketing Automation Product Manager Technical role focused on AI-native product development for Amazon's JP Store. The role involves owning the end-to-end customer experience for AI-powered marketing automation, using generative AI to create personalized content and experiences that drive product discovery and conversion across various channels. Responsibilities include defining customer journeys, designing experiments, driving data-driven product development, and collaborating with engineering and design teams on AI-powered features. | Ship | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Business Analyst, AMZL ACES , Amazon Logistics, ACES This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools. | — | 5 |
| データーアソシエイト（契約社員 - 韓国語スピーカー）, AGI Data Services The role involves data annotation and evaluation for AI development, focusing on Korean language data including text, voice, images, and videos. Responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, ensuring data privacy and security, and contributing to quality control and improvement by identifying error patterns and proposing solutions. The role also includes translation of guidelines and supporting AI development with appropriate decision-making. | Data | 5 |
| Program Manager, Central Operation Program Manager for Amazon's Central Operations team within Last Mile Logistics, focusing on improving processes and technology for last-mile delivery operations. The role involves defining programs, analyzing data, identifying risks, and collaborating with various teams to enhance system capability and reliability. While the company utilizes AI/GenAI tools, this role is not directly building or researching AI models. | — | 5 |
| Data Associate（中国語 中文团队 ─ 契约社员）, AGI Data Services The Data Associate role at Amazon Japan is responsible for supporting AI development projects by evaluating and labeling various data types including text, speech, images, and videos. This role involves generating high-quality human judgment data, monitoring generative AI outputs for harmful content, and ensuring data privacy and security. The position is part of a new Chinese language team and requires strong language skills in Chinese and either Japanese or English, along with basic computer proficiency and teamwork abilities. | Data | 5 |
| Data Associate（韓国語 한국어팀), AGI Data Services The Data Associate role at Amazon Japan focuses on supporting AI development by evaluating and labeling various data types (text, voice, image, video). Key responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, and managing data privacy and security. The role also involves quality control, proposing improvements, and collaborating with the team. While no prior experience is required, a willingness to learn is valued. Fluency in Korean is essential, with proficiency in Japanese or English also required. | Data | 5 |
| Sr. Product Manager, Selection, JP FBA This role is for a Sr. Product Manager focused on selection growth for Amazon Japan's Third-Party Seller business. The primary responsibility is to drive the expansion and improve the quality and discoverability of product selection by working with customers and selling partners, collaborating with technical and business stakeholders, and leveraging GenAI for efficiency. The role involves owning key metrics, developing strategy and roadmaps, executing plans, analyzing data, and managing trade-offs to onboard new products at scale. | — | 5 |
| Data Solutions Lead, Data Collection Excellence This role is a Data Solutions Lead within Amazon's AGI-DS team, focusing on ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, providing expert consultation on data collection, managing customer relationships, and driving business value through technical advisory. Responsibilities include translating research goals into data collection requirements, managing workflows, ensuring data quality, and influencing technical documentation. The role requires strong customer communication, ML data operations experience, and an understanding of data annotation and ML workflows. | Data | 5 |