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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Procurement Manager, APAC Procurement Excellence Team This role is for a Senior Procurement Manager in Amazon's APAC Procurement Excellence Team. The primary focus is on driving procurement standardization, governance enhancement, and process improvement across the APAC region. This involves developing and implementing procurement policies, managing vendor relationships, optimizing processes for efficiency and cost savings, and collaborating with various internal departments. While the role mentions the use of AI and GenAI tools to aid in decision-making and focus, the core responsibilities are in procurement strategy, process optimization, and cross-functional collaboration, not in building or directly managing AI systems. | — | 0 |
| Controls Engineer, North Asia, APAC Controls Deployment & Service The Controls Engineer will deploy and service data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS), ensuring the health and efficiency of AWS data centers in the APAC region. This role involves overseeing new deployments, upgrading existing systems, providing local servicing expertise, and collaborating with various internal teams and external vendors. | — | 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, daily operational leadership, and team development. While the company actively uses AI tools to accelerate decision-making and focuses on continuous learning in AI, the core responsibilities of this role are in recruitment and operational management, not in building or directly applying AI models. | — | 0 |
| HRアシスタント, WFS Japan This role supports Amazon's global recruitment team by managing the end-to-end hiring process for contract employees and assisting with shift scheduling for temporary staff. It involves handling inquiries, organizing hiring events, tracking unusual situations, and collaborating with internal teams and staffing agencies. The role requires strong administrative skills, responsibility, a proactive learning attitude, and the ability to work with stakeholders. Experience with HR, operations, and Microsoft applications is necessary, with a preference for experience in high-volume hiring and logistics/transportation industries. The role also mentions exposure to AI tools and opportunities for AI fluency development. | — | 0 |
| Process Engineer, Process Engineering Process Engineer for Amazon Logistics (AMZL) in Japan, focusing on standardizing and optimizing the last-mile delivery network. The role involves driving process innovations, developing equipment, creating infrastructure design standards, and managing cross-functional projects to improve safety, customer experience, productivity, quality, and cost. | — | 0 |
| HRアソシエイト, WFS Japan This role supports Amazon's global recruitment team by assisting with recruitment activities for various operational departments in Japan. The Staffing Associate will manage the entire recruitment process from application to onboarding for contract employees directly hired by Amazon, and also support shift management for temporary staff. The role involves handling recruitment tools, interacting with AI tools, and supporting recruitment processes that may involve AI-powered capabilities for decision-making. | — | 0 |
| HRアソシエイト, WFS Japan This role supports the recruitment activities for Amazon's Workforce Staffing (WFS) department in Japan, focusing on supporting various operational departments. The responsibilities include managing the end-to-end recruitment process for contract employees, supporting shift allocation for temporary staff, and documenting and tracking any unusual recruitment process situations. The role requires strong administrative skills, responsibility, a proactive learning attitude, clear communication, and collaboration with stakeholders. Experience with recruitment tools and exposure to AI tools are mentioned, along with opportunities for professional growth and AI fluency development. | — | 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 direct hiring initiatives. While the company actively uses AI tools to accelerate decision-making and focuses on continuous learning in AI, the core responsibilities of this position are in recruitment and workforce management, not in building or deploying AI models. | — | 0 |
| Business Intelligence Engineer, Prime Video APAC and ANZ Business Intelligence Engineer for Prime Video APAC and ANZ to drive customer insights, develop dashboards, and build data processes. Requires strong SQL, data manipulation, and statistical analysis skills. | — | 0 |
| Senior Operations Manager, AMZL This role is for a Senior Operations Manager at Amazon Logistics (AMZL) in Japan, focusing on building a world-class last-mile operation. The role involves managing all budgetary, people development, and operations objectives for a delivery station, including leading teams, coaching managers, and driving process improvements. While the job mentions the use of AI and GenAI tools to enhance operations and decision-making, the core responsibilities are in operations management, not in building or developing AI/ML models. | — | 0 |
| Sr. Regional Env. Manager CF ATS AGL, EAP This role is for a Sr. Regional Environmental Manager in Amazon Japan's Environmental Assurance Program (EAP) team. The manager will be responsible for environmental compliance across Amazon Japan's CF ATS AGL businesses, partnering with operations, facilities, and engineering teams. Key responsibilities include defining environmental policy, leading program rollouts, assisting with internal audits, and supporting change initiatives. The role requires strong program management capabilities, deep environmental regulatory knowledge, and excellent communication skills in both English and Japanese. The role will be based in Tokyo. | — | 0 |
| Senior Operations Manager, AMZL This role is for a Senior Operations Manager at Amazon Logistics (AMZL) in Japan. The primary focus is on managing and optimizing last-mile delivery operations, including budget, people development, and operational objectives for a delivery station. While the role mentions the use of AI and GenAI tools to enhance decision-making and focus, the core responsibilities are centered around traditional logistics and operations management, not the direct development or deployment of AI models or systems. | — | 0 |
| Program Manager, Launch Configuration and Verification, AMZL JP Launch & Expansion, AMZL JP Launch & Expansion Program Manager role focused on launching and verifying configurations for Amazon's logistics network in Japan. The role involves system configuration and verification for all last-mile nodes, aiming for a 'Right First Time' launch with a target of zero DPMO. While the company mentions integrating AI tools into daily operations, this role itself is not directly building or deploying AI models. | — | 0 |
| CONTROLS Technician, North Asia, APAC Controls Deployment & Service This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support. | — | 0 |
| CONTROLS Technician, North Asia, APAC Controls Deployment & Service This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support. | — | 0 |
| CONTROLS Technician, North Asia, APAC Controls Deployment & Service This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support. | — | 0 |
| CONTROLS Technician, North Asia, APAC Controls Deployment & Service This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support. | — | 0 |
| Senior Business Intelligence Engineer, AMXL JP Senior Business Intelligence Engineer role at Amazon's AMXL Japan, focusing on building and operating reports, dashboards, and applications to support a large e-commerce logistics business. The role involves setting strategic priorities, delivering BI solutions, ensuring engineering and operational excellence, defining metrics, and delivering BI solutions for complex problems. Requires experience in SQL, data extraction/transformation, statistical analysis, scripting (Python), and information retrieval/data science/machine learning/data mining. | — | 0 |