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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 - 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 |
| 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 |
| 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 |
| Data Solutions Lead, Data Collection Excellence This role is a Data Solutions Lead within Amazon's AGI-DS organization, focusing on providing expert consultation for ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, managing customer relationships, driving business value through technical advisory, and ensuring customer satisfaction by creating and managing workflows for data collection. Key responsibilities include translating complex research goals into data collection requirements, documenting solutions, coordinating across teams, building relationships with customer scientists, consulting on ML workflow capabilities, and monitoring/optimizing data collection metrics. The role also involves guiding customers on workflow feasibility and best practices, defining technical requirements with implementation teams, and evaluating annotation scenarios for scalability. | — | 5 |
| Senior Engagement Manager, Prototyping and AI Customer Engineering (PACE) This role is for a Senior Engagement Manager focused on Prototyping and AI Customer Engineering (PACE) within AWS. The primary responsibility is to help customers innovate using emerging cloud technologies, particularly Generative AI services, by collaborating with account teams, partners, and customers to identify opportunities, craft a vision, and oversee the delivery of prototypes. The role involves understanding customer business priorities, articulating value propositions, and driving strategic outcomes through cloud-based solutions. While the role interacts with AI services and prototypes, the core function is customer engagement, program management, and driving adoption of AWS services, rather than direct AI/ML model development or research. | — | 5 |
| Program Manager, Ultra Fast Delivery, Launch and Expansion Program Manager for Amazon's Ultra Fast Delivery (Quick Commerce) network expansion in Japan. This role focuses on the end-to-end execution of new site launches, managing facility preparation, talent acquisition, system configuration, and operational readiness. The position involves standardizing processes in a new business domain, making data-driven decisions, and collaborating with various stakeholders to ensure successful and scalable operations. | — | 5 |
| Senior Program Manager, Service Offering Senior Program Manager to lead Strategic Account Services (SAS) for Amazon's Selling Partners, focusing on improving Selling Partner experience and accelerating growth through holistic account management. The role involves developing and scaling new and existing paid programs, analyzing Selling Partner feedback and market data, and collaborating with cross-functional teams globally. The candidate will leverage AI and GenAI tools to enhance decision-making and drive business outcomes. | — | 5 |
| Sr. Program Manager, Lastmile Planning, JP AMXL Network Planning This role is for a Sr. Program Manager focused on last-mile logistics planning for Amazon Extra Large (AMXL) in Japan. The role involves owning the mid-to-long-term network strategy, optimizing operations, and championing the implementation of advanced planning tools and systems. While the role mentions the use of AI and GenAI tools and opportunities to develop AI fluency, the core responsibilities are in program management, logistics, and operations, not in building or directly shipping AI/ML models or systems. | — | 5 |
| Senior Strategic Supply Chain Manager, JP Books This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development. | — | 5 |
| Data Solution Lead Manager, Data Collection Excellence This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions. | — | 5 |
| Data Solutions Lead, Data Collection Excellence This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation. | — | 5 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue growth by helping customers understand and adopt Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate complex AI capabilities into business value and support successful adoption at scale. | — | 5 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value. | — | 5 |
| Program Manager Ⅱ, FC Business planning/BI Program Management This Program Manager role focuses on business planning and BI program management within Amazon's Fulfillment Center network. The role involves strategic planning, cost optimization, and cross-functional project management. While the BIPM team specifically mentions AI utilization and automation for existing operations, the core of the role is program management and business planning, not direct AI/ML model development or research. The AI aspect is more about leveraging existing internal AI tools and promoting their adoption. | — | 2 |
| Senior Product Manager, Selection, JP Books Senior Product Manager for JP Books at Amazon, focusing on selection strategy and science for Kindle and Print Retail. The role involves defining strategic frameworks, developing a selection science roadmap, identifying and capturing opportunities, and partnering with cross-functional teams. Key responsibilities include building the selection strategy roadmap, defining analytics and metrics, driving automation through AI/ML, establishing benchmarking and research capabilities, and reporting to senior leadership. The role emphasizes balancing customer experience, publisher partnerships, and business growth, with opportunities to innovate using AI/ML. | — | 1 |
| Program Manager, QC Ops Excellence Program Manager for Quick Commerce (QC) Operations Excellence in Japan, focusing on defining, optimizing, and ensuring compliance with operational standards. The role involves end-to-end process standardization, improvement, and tracking, leveraging data analysis and influencing skills. While the role mentions the use of AI and GenAI tools, it is not a core AI/ML development role. | — | 0 |
| Content and Engagement Specialist, Attraction, Influence & Marketing (AIM) This role focuses on developing, activating, and optimizing non-paid marketing strategies to engage candidates and reduce reliance on paid marketing. It involves content marketing, candidate engagement, data analysis, and campaign management, with opportunities to learn and utilize AI/GenAI tools. | — | 0 |
| Staffing Lead, Workforce Staffing Japan This role is for a Staffing Lead at Amazon, responsible for managing mass recruitment programs for logistics sites. The role involves strategic workforce planning, operational leadership, vendor management, and team development. It requires strong consulting, influencing, and communication skills, with a focus on data-driven program improvement and problem-solving in a dynamic environment. Experience with Microsoft Office, particularly Excel and Word for data analysis and documentation, is necessary. The role may involve international collaboration and travel. | — | 0 |
| Regional Area Manager, Amazon Now This role oversees 20+ Amazon Quick Commerce dark store fulfillment sites, taking full accountability for Safety, Quality, Productivity, and Customer Experience. It involves hands-on leadership, stakeholder management, and maximizing business outcomes. The role also leverages AI and Generative AI tools to accelerate decision-making and focus on critical tasks. | — | 0 |
| Staffing Lead, Workforce Staffing, Workforce Staffing Japan This role is for a Staffing Lead at Amazon, responsible for leading mass recruitment programs for logistics sites. The role involves strategic workforce planning, daily operational leadership, and team development. While the company mentions using AI tools to accelerate decision-making, the core responsibilities of this role are in recruitment and staffing, not in building or directly using AI/ML models. | — | 0 |
