Amazon currently has 1520 active AI-related job listings. The majority of these roles, 41%, are focused on agents, with application-related positions making up another 26%. Engineering is the dominant function, accounting for 1207 of the listings. The company has seen a 20% decrease in new AI roles over the last 30 days, with 636 new positions posted compared to 798 in the preceding 30-day period.
Currently tracking 1072 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (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 (983 roles), Canada (56 roles), United Kingdom (49 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 613 new AI-related roles. That is a -23% change versus the prior 30 days (793 → 613).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Sr. Technical Architect, Amazon Quick Customer Success Team (Q-CST) This role focuses on driving the enterprise-scale adoption of Amazon Quick, an AI-powered assistant. The Sr. Technical Architect will define and maintain reference architectures, build sprint readiness assessments, and drive technical quality across teams. They will also act as a bridge between field delivery and the product organization, translating customer blockers into requirements and coordinating engineering requests. The role involves developing technical underpinnings for workforce transformation, including workload patterns, transition criteria, and success metrics dashboards, all within the framework of the "Live in 45" methodology. | — | 5 |
| Software Dev Engineer II , Global Transportation Tech Services (GTTS) Software Development Engineer II for Global Transportation Tech Services (GTTS) at Amazon, focusing on building and managing the software platform for Amazon's outbound transportation network. The role involves designing network capacity, predicting gaps, responding to disruptions, and developing new greenfield products. It utilizes AWS services, big data processing, optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving project execution, and talent development. | Agent | 5 |
| ProServe Cloud Architect, Professional Services - Taiwan This role is for a ProServe Cloud Architect on AWS Professional Services in Taiwan. The architect will design, architect, and implement cloud solutions on AWS for customers, acting as a trusted technical advisor. Key responsibilities include solution architecture, customer engagement, cloud migration, conducting Well-Architected Reviews, technical delivery, advising on emerging technologies like generative AI, and supporting pre-sales efforts. The role requires strong AWS expertise and experience in IT architecture and cloud solutions, with exposure to AI/ML services being a preferred qualification. | — | 5 |
| Software Development Engineer, RBS Tech Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence. | Ship | 5 |
| Software Development Engineer, RBS Tech Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence. | Ship | 5 |
| Sr Product Manager, Technical, Worldwide Promotions and Events This role is for a Senior Product Manager, Technical at Amazon, focused on transforming the global promotions and events experience for millions of customers. The role involves leading a new initiative, defining product roadmaps, designing experiments, and working with technical teams to deliver scalable solutions. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to enhance products, it is not core to the role's responsibilities, which are primarily product management and strategy for customer-facing promotions. | — | 5 |
| Data Engineer II, Professional Services Strategy & Operation, Analytics & Insights Center (PAIC) Data Engineer II role at AWS Professional Services focused on building and scaling data products, including AI/ML and generative AI tools, for enterprise customers. Responsibilities include developing ETL pipelines, data models, and data integration using SQL, Python, and AWS services, with a focus on scalability, automation, and platform reliability. | — | 5 |
| Sr. TPM, CRM, Customer Behavior Analytics This role is for a Sr. Technical Program Manager to lead a CRM initiative focused on customer behavior analytics. The program aims to revolutionize customer understanding and engagement using data science, machine learning, and personalization technologies. The TPM will drive technical strategy, roadmap, and execution of cross-functional projects, collaborating with various teams to deliver innovative customer experiences and drive business growth. While the role involves working with data science and ML, it is primarily a product/program management role focused on delivering customer-facing features and business impact, not core AI/ML model development. | — | 5 |
| Specialist Strategy & Sales Operations Lead, Specialist Strategy & Sales Operations This role focuses on driving data-driven decision-making and operational excellence for the AWS Specialist and Partner organization within AWS Industries. The Specialist Strategy & Sales Operations Lead will act as a strategic business partner, translating complex data into actionable insights, shaping strategic direction, and managing mission-critical frameworks like territories, quota, and forecasting. A key aspect of the role involves leveraging AI and ML technologies to enhance sales processes and decision-making, ensuring responsible implementation to drive business impact and augment the sales organization's productivity. | — | 5 |
| Economist II, People Experience and Technology Central Science Economist role focused on applying economic methods, statistics, and machine learning to improve business processes and employee well-being. Involves estimating models, designing experiments, and transforming prototypes into scalable solutions, working closely with engineers and computer scientists. | — | 5 |
| Sr. Product Manager, North America Languages Experience This role is for a Senior Product Manager focused on enhancing the shopping experience for Spanish and French-speaking customers in North America. The role involves identifying gaps in the customer journey, driving solutions, and envisioning innovative experiences leveraging AI/ML and generative AI. The primary focus is on delivering improved customer experiences within the consumer domain, with AI/ML being a tool to achieve product goals rather than the core craft of the role. | — | 5 |
| Blink Learning Experience Designer , Learning Experience Team This role focuses on designing and developing learning modules using AI tools and methodologies to accelerate content creation and transform learning experiences for associates. The primary goal is to create AI-enhanced learning solutions that impact a large number of users. | — | 5 |
| Senior Solutions Architect - AWS WWPS DOD - Air Force, WWPS SOLUTIONS ARCHITECTS This role is for a Senior Solutions Architect within Amazon's AWS WWPS DOD sector, focusing on the Air Force. The primary responsibility is to help U.S. Department of War customers implement innovative cloud computing solutions using AWS services. The role involves owning technical engagements, defining architectures, responding to RFPs, and acting as a subject matter expert on security. While generative AI is mentioned as a helpful experience area, the core of the role is cloud architecture and consulting for defense clients, not direct AI/ML model development. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Sr GenAI Strategist, Generative AI Innovation Center This role is a business-focused technologist who partners with customers and internal AWS teams to develop strategies and roadmaps for leveraging generative AI and machine learning to enhance business outcomes. The role involves understanding customer needs, identifying opportunities, and driving adoption of AWS AI services, with a strong emphasis on connecting business value to scalable solutions. | — | 5 |
| APJ PDS, APJ PDS This role focuses on developing and driving Go-To-Market (GTM) strategies for AWS partners, particularly in the Generative AI space. The objective is to activate partners against demand signals, build their capabilities on AWS, and accelerate co-sell initiatives to drive incremental revenue. The role involves working with ISVs and SIs to build and test GTM strategies, promote partners and their solutions, and gather feedback to improve the partner and customer experience. | — | 5 |
| Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Policy within AWS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML/GenAI into scaling programs. The role emphasizes data analysis, reporting, KPI definition, and driving business decisions through insights. While the role mentions integrating ML/GenAI, its core function is BI engineering and data analysis, not direct AI/ML model development. | — | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building solutions for Sponsored Products and Brands, extending campaigns to reach customers off-site and on third-party sites. The role leverages industry-leading machine learning, high-scale low-latency systems, and AI technologies to create sponsored customer experiences. It involves designing and developing components using AWS technologies, building big data systems, and working with scientists to invent and build ML-based approaches. The team is re-imagining advertising with generative AI, focusing on ad creation, optimization, and performance analysis. | Ship | 5 |
| MIT Pathways Data Associate Intern Intern role focused on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data, analyzing error patterns, and proposing solutions to enhance labeling quality. | Data | 5 |
| Digital Marketing Manager, Paid Media, Seller Acquisition and Education (SAE) Digital Marketing Manager responsible for designing, testing, and scaling paid media campaigns to drive new seller acquisition for Amazon. This role involves managing paid search campaigns, executing experiments, optimizing based on performance analysis, and contributing to strategic initiatives. The ideal candidate can operate at both strategic and tactical levels, leveraging data-driven decisions to improve customer acquisition and campaign performance. | — | 5 |
| AI & Emerging Tech Specialist , Emerging Technology This role is for an AI & Emerging Tech Specialist within Amazon Web Services (AWS) National Security Emerging Technology team. The primary focus is on sales and customer engagement, developing use cases, driving adoption, and shaping go-to-market strategies for emerging technologies like generative AI and ML within US Defense and Intelligence agencies. The role requires a strong understanding of customer mission needs and the ability to leverage AWS services to create solutions. It involves collaboration with account teams, engineering leaders, and product teams, and requires a high-level security clearance. | — | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling. | Agent | 5 |
| Data Scientist II - AMZ24268.1 Data Scientist II role focused on designing and implementing scalable approaches for business decision-making, involving data acquisition via SQL/ETL, analysis, and building models using various statistical and machine learning techniques. Requires experience with large datasets, SQL scripting, and modeling software like R, Python, or MATLAB. | Data | 5 |
| Software Development Engineer II, FaST (Fashion Subsidiary Tech) Software Development Engineer II role focused on building customer service tooling and AI agentic workflows for online fashion retailers. The role involves developing critical services, leveraging AI tools to augment work, and building AI agents for customer service scenarios, impacting millions of customers. | Agent | 5 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions. | — | 5 |
| Sr. Product Manager Technical, Personal Information, PXT Employee Onboarding Experience Product Manager Technical role focused on the Personal Information Domain product vision, strategy, and roadmap for Amazon's global workforce onboarding experience. The role involves defining how personal information is collected, stored, validated, and distributed, leveraging AI/ML for data quality automation and identity validation. It requires collaboration with engineering, legal, and compliance teams to drive self-service experiences and a centralized data platform. | — | 5 |
| Principal Product Manager, Product Strategy & Business Operations, Amazon Customer Service This role is for a Principal Product Manager focused on Product Strategy & Business Operations within Amazon's Data Intelligence team, which advances AI capabilities. The role involves owning the rhythm of business, strategic planning, reporting, and cross-functional coordination to ensure the organization runs effectively and delivers results. While the team builds AI solutions, this specific role is operational and strategic, focusing on process and reporting rather than direct AI/ML model development. | — | 5 |
| Principal Product Manager, Technical Product Strategy & Operations, Amazon Customer Service Principal Product Manager, Technical Product Strategy & Operations for Amazon Customer Service's Data & Context Intelligence team. This role drives technical product strategy and operations for AI-native solutions, acting as chief of staff to senior leadership. Responsibilities include aligning product strategy, operational priorities, and cross-functional execution, defining product portfolio strategy, orchestrating cross-functional execution, and building operational excellence. The team builds data solutions and contextual intelligence using Agentic AI, Generative AI, NLP, RL, Knowledge Graphs, and Multi-Agent Architectures to improve customer experiences. | — | 5 |
| Principal Tech Program Manager, Amazon Customer Service This role manages the end-to-end lifecycle of complex technology products and projects, with a focus on Gen AI and Automation within Amazon Customer Service. The goal is to build AI-native solutions that continuously learn, predict, and optimize the customer service network, enhancing customer interactions and empowering associates. The role involves strategic planning, stakeholder management, and driving innovation in AI and machine learning to create seamless customer experiences. | Agent | 5 |
| Data Platform Engineer, Fauna Data Platform Engineer for Fauna Robotics, focused on building foundational data systems for robotics and ML development. This role involves designing and implementing infrastructure for data collection, storage, processing, and transformation from robot sensors, video, and logs, enabling ML training and fleet performance monitoring. | Data | 5 |
| Software Development Engineer, CreativeX Software Development Engineer role focused on building AI-powered creative tools for advertisers. The role involves full-stack development, designing and implementing scalable services, and leveraging AI throughout the development lifecycle. Requires understanding of AI agent concepts, LLMs, and ML fundamentals. | Agent | 5 |
| Principal Product Manager - Tech, Devices Decision Science Principal Technical Product Manager for quantitative analysis products within Decision Science at Amazon Devices. This role bridges science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate has scientific fluency, product management excellence, and business acumen to shape how Amazon Devices uses quantitative science for decision-making, from forecasting to portfolio optimization. | Ship | 5 |
| Software Development Engineer, RBKS DSO EU Software Development Engineer role focused on backend systems for consumer devices (Ring), emphasizing low-latency, high-uptime systems and iterative development. The role involves leveraging generative AI tools to improve development processes. | — | 5 |
| Sr. Product Marketing Manager, AWS Marketing, Amazon Connect Product Marketing Manager for Amazon Connect, a cloud contact center solution. The role involves shaping go-to-market strategy, crafting compelling content, understanding customers and the market, engaging with stakeholders, planning and executing marketing initiatives, and working with field and marketing teams to drive global initiatives. The role leverages AI and machine learning technologies that serve millions of customers. | — | 5 |
| Product Marketing Manager Tech, Amazon Connect Product Marketing Manager for Amazon Connect, focusing on enterprise AI and generative AI solutions. The role involves shaping go-to-market strategy, developing positioning and messaging, creating technical content, and driving field enablement for AI chat, research agents, workflow automation, and analytics capabilities. | — | 5 |
| Data Scientist III - AMZ9803634 This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy. | Data | 5 |
| Senior Solutions Architect, Healthcare, India-PS This role is for a Senior Solutions Architect in Healthcare, India, focusing on enabling industries to build innovative services with AWS. The architect will own technical engagements, develop deep expertise in AWS technologies, and design IT systems deploying at scale. They will evangelize adoption of new technologies, identify patterns and best practices, and advise on various technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless. The role requires customer-facing skills, strategic thinking, and the ability to architect for high availability, scaling, cost minimization, and security. Experience in architecting/building/implementing Healthcare domain solutions is preferred. | — | 5 |
| Senior Delivery Consultant - AI/ML, ASEAN Professional Services Senior Delivery Consultant for AI/ML at AWS Professional Services in ASEAN, focusing on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and driving business value through ML implementations. | Ship | 5 |
| Software Dev Engineer III, IES CFX (NCRC) Tech Software Development Engineer III role focused on building and launching customer-facing tech solutions for emerging markets, specifically addressing customer abuse in e-commerce fulfillment. The role involves end-to-end ownership of product features, working with AWS technologies, and collaborating with an international machine learning team to build ML-based solutions for abuse detection and prevention. The goal is to automate detection of new abuse patterns and minimize financial loss. | Agent | 5 |
| Sr. BIE, EMXO PLX This role involves building intelligence and analytical frameworks for customer growth in emerging markets, using data mining, statistical, and machine learning techniques. The Sr. BIE will drive the analytics roadmap, collaborate with stakeholders, and implement data flow solutions, with an "AI first mindset" for evolving business analytical requirements. | Data | 5 |
| Global Account Manager, GFS EMEA - Insurance Sales leader for a global account manager role at Amazon Web Services (AWS) focusing on a large insurance company in EMEA. The role involves managing customer relationships, developing sales strategies, and driving cloud adoption and AI-driven transformation. It requires understanding emerging technology trends like AI/ML and generative AI to support customer innovation and influence product roadmaps. | — | 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 |
| Data Engineer, Worldwide Grocery Data & Analytics This role is for a Data Engineer on the Worldwide Grocery Store Tech (WWGST) Data & Analytics team. The primary focus is on architecting data infrastructures and developing advanced data pipelines. The team is described as an 'AI-first team' aiming to deliver analytics using AI in 2026. The role involves collaborating with Data Scientists to implement advanced analytics algorithms and machine learning, but the core responsibilities are data engineering. | — | 5 |
| Software Development Engineer III, Delta Change Management Service Software Development Engineer III role in Amazon FinTech's Delta team, focusing on architecting and developing scalable financial systems. The role involves leveraging AI/ML for compliance monitoring, anomaly detection, and SDLC monitoring, with a strong emphasis on technical leadership, architectural decisions, and driving innovation in financial technology. | Ship | 5 |
| Senior Product Mkt Mgr, Outbound Senior Product Marketing Manager for Amazon's North American Stores team, focusing on driving customer experience through personalization and agentic AI for email and push campaigns. Responsibilities include developing AI-powered campaigns, partnering with tech/science teams on AI roadmaps, and leveraging AI tools for workflow automation. The role requires experience in marketing, data analysis, A/B testing, and customer segmentation, with a preference for experience with generative AI tools. | — | 5 |
| Research Scientist, WWGS Real Estate & Store Development Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership. | Ship | 5 |
| Program Manager, AWS Legal Program Manager for AWS Legal, focusing on developing and implementing systems and processes for regulatory compliance. The role involves cross-functional collaboration, project management, and leveraging AI tools to improve efficiency in compliance processes. | — | 5 |
| Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences (HCLS) customers using AWS services, with a significant emphasis on AI/ML and Generative AI use cases. The Solutions Architect will build prototypes, conduct architectural discussions, and support customer adoption journeys, acting as a technical liaison between customers and AWS. | Agent | 5 |
