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.
Amazon currently has 1500 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), 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 (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 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 618 new AI-related roles.
Currently tracking 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
| Title | Stage | AI score |
|---|---|---|
| Sr. Software Development Engineer, AWS Insights & Optimizations Senior Software Development Engineer for AWS Analytics and Machine Learning team, focusing on processing large volumes of customer usage data to provide intelligent cost management products. The role involves technical leadership, architectural challenges, and collaboration with Data Scientists to enable features through analytics and ML. | Data | 5 |
| Sr Data Scientist, Amazon Publisher Services Data Scientist role focused on improving Amazon Publisher Services by analyzing large datasets, developing statistical and ML models, and designing experiments to optimize ad monetization for publishers. The role involves collaborating with cross-functional teams to solve real-world problems and drive business insights. | Ship |
| 5 |
| Associate Account Executive , Enterprise Greenfield This role is an Associate Account Executive at Amazon Web Services (AWS) focused on acquiring new enterprise customers. The role involves identifying growth opportunities, engaging unengaged accounts, and driving pipeline growth using AI-powered sales tools and data-driven insights. It's positioned as an entry-level sales position with a clear career path into full-cycle sales roles within AWS. | — | 5 |
| Associate Account Executive , Enterprise TMEGS This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying whitespace opportunities, developing strategies to reach unengaged accounts at scale, and driving net-new business. It emphasizes the use of cutting-edge AI tools, data-driven insights, and AI-powered sales technology to identify high-propensity accounts and optimize pipeline development. The role is positioned as an entry point into AWS's North American sales organization, with a clear career path towards full-cycle sellers. | — | 5 |
| Associate Account Executive , Enterprise This role is an Associate Account Executive at Amazon Web Services (AWS) focused on enterprise clients. The primary responsibility is to drive pipeline growth and acquire new customers by identifying opportunities, engaging with potential clients, and leveraging AI-powered sales tools and data-driven insights. The role emphasizes using generative AI, agentic workflows, and advanced personalization engines to optimize outreach and pipeline development. It serves as an entry point into AWS's North American sales organization with a clear career path towards full-cycle sales roles. | — | 5 |
| Associate Account Executive , SMB Engaged This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on SMB customers. The primary responsibility is to accelerate pipeline growth by identifying and engaging unengaged accounts and contacts. The role utilizes AI-powered sales tools and data-driven insights to develop strategies, generate leads, and drive new business. It serves as an entry point into AWS's North American sales organization with a clear career path towards full-cycle sales roles. | — | 5 |
| Associate Account Executive , SMB Engaged This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on acquiring new customers in the SMB sector. The role involves identifying growth opportunities, engaging unengaged accounts, and driving pipeline growth using AI-powered sales tools and data-driven insights. It's positioned as an entry-level sales position with a clear career path into full-cycle sales roles within AWS. | — | 5 |
| Senior Software Engineer, AWS Identity Senior Software Engineer role at AWS Identity focusing on building and operating the identity, authentication, and authorization stack. The role involves developing products that use automated reasoning and machine learning to recommend access controls for AWS customers, enabling them to set access controls confidently across their environments. The engineer will lead design, implementation, and deployment of systems, define secure and scalable solutions for data collection, processing, ML, and APIs, and incorporate ML and automated reasoning techniques into customer capabilities. The role emphasizes building solutions on a global scale, owning systems end-to-end, and influencing technology direction. | Agent | 5 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. While it involves knowledge of AWS services including machine learning, the core function is cloud solution implementation and customer advisory, not direct AI/ML model development or deployment. | — | 5 |
| Sr Database Specialist Sales, FSI This role is a Sr. Database Specialist Sales position within AWS, focusing on Financial Services (FSI). The core responsibility is to drive adoption and revenue growth for AWS database services, with a specific emphasis on their integration with Generative AI technologies. The role involves identifying customer opportunities, understanding their data management needs, and aligning them with AWS database solutions. It requires full-cycle sales engagement, working with senior customer executives to build strategies and leverage AWS database capabilities. The position also involves collaborating with internal teams (Solutions Architects, GTM, Partners) and staying current with database technology trends, especially in relation to Generative AI. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), Accelerator Servers This role focuses on the hardware engineering for accelerated servers used in AWS for AI training and inference. The engineer will be responsible for the design, development, root cause analysis, and oversight of these servers, working with internal and external customers, component vendors, and manufacturing partners. The goal is to deliver high-performance, scalable, and cost-effective server solutions for AI/ML and HPC workloads. | — | 5 |
| Business Intelligence Manager, WW Ops Finance - S&A This role leads the build-out of financial analytics systems for Amazon's Global Customer Fulfillment network, focusing on transitioning to a data lakehouse architecture with agent-first designs and embedding automation and intelligent agents into data workflows. The role involves managing a team, partnering with cross-functional teams, and integrating emerging technologies like generative AI. | AgentData | 5 |
| Business Intelligence Engineer II, AWS DC Central Operations This role focuses on building and maintaining business intelligence and analytics products for AWS data center operations, with an increasing emphasis on leveraging GenAI tools like Amazon Q and retrieval-augmented analytics to enhance self-service capabilities for users. The primary output is customer-facing analytics products and reports. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers This role focuses on designing, developing, and operating cloud hardware for AWS Generative AI and ML servers. The engineer will define server architectures, create detailed designs and specifications for high-performance AI training and inference, and manage validation strategies from component bring-up to rack integration. Responsibilities include triaging hardware issues, conducting root cause analysis, overseeing server fleets, and driving continuous improvement in collaboration with internal teams and external partners. | — | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves designing and developing end-to-end projects, working with Generative AI and distributed systems, and owning the quality of major deliverables. Requires strong software engineering skills, experience with AWS, and developing services using Generative AI. | Ship | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves end-to-end project design and development, working with Generative AI, distributed systems, and data processing. Requires strong software engineering skills, experience with AWS, and a focus on delivering high-quality software in an Agile environment. | Ship | 5 |
| Manager, Aircraft Maintenance Operations, Amazon Air Manager for Aircraft Maintenance Operations at Amazon Air, focusing on transforming operations using Generative AI and emerging technologies. The role involves overseeing daily maintenance, managing real-time decisions, developing fleet health monitoring strategies, and driving the implementation of AI/ML to enhance operational strategies and predictive maintenance. The goal is to move from reactive to predictive, insight-driven operations, leveraging GenAI for data synthesis and actionable insights. | Ship | 5 |
| Senior Delivery Consultant: Data Analytics, AWS Professional Services Senior Delivery Consultant for AWS Professional Services specializing in Data Analytics and GenAI. The role involves collaborating with customers and partners to derive business value from Data Analytics and GenAI services, developing and delivering proof-of-concept projects, technical workshops, and supporting complex projects. Focus areas include batch and real-time data capture and analysis, driving data-driven decisions, and implementing solutions using various AWS data analytics and GenAI services. | Ship | 5 |
| Senior AI Sales Specialist Senior AI Sales Specialist role at AWS, focusing on driving revenue growth by partnering with customers to understand their needs, translate AI capabilities into business value, and guide them through AI adoption journeys. This involves building sales pipelines, advising on AWS AI services, and collaborating with internal teams and customers on AI use cases, including foundation models, LLMs, and agentic AI. | — | 5 |
| Program Manager II, Central Leads Management Team Program Manager II for Amazon's International Seller Services, focusing on building next-generation recruitment enablement tools. This role involves owning cross-functional programs for AI-enabled workflows, AI-assisted lead generation, seller intent mining, ML-based prioritization, automated assignment, and CRM integrations to improve sales team productivity and seller conversion. The role requires partnering with various teams (Sales, Product, Data Science, Engineering) to define requirements, drive initiatives, and improve key business metrics related to lead management and seller recruitment. | Agent | 5 |
| Data Scientist, AWS Support Capacity Planning Data Scientist role at AWS focused on capacity planning, using statistical modeling, machine learning, and optimization to forecast contact volumes and drive operational improvements. The role involves building and managing modeling projects and forecasting solutions, requiring expertise in data science, forecasting, optimization, and machine learning. | Data | 5 |
| Principal Planning Integration, Fleet Demand, EU Fleet Supply Chain This role focuses on re-engineering an automated forecasting model (Fleet Requirement Planning - FRP) for Amazon's EU fleet supply chain. It involves integrating new van requirements, moving towards agentic AI and probability-based modeling, scaling optimization models, and evolving the user interface. The goal is to support critical business decisions related to fleet operations, including Capex/Opex, vehicle mix, and utilization, by developing a 'digital twin' for scenario analysis and investment planning. | Agent | 5 |
| Sr. GTM Specialist Solution Architect GenAI, EU North, EMEA Data and AI Solutions Architecture This role is for a Senior Go-To-Market (GTM) Specialist Solutions Architect focused on Generative AI (GenAI) within Northern Europe. The primary responsibility is to act as a trusted technical advisor to customers, helping them adopt GenAI/ML and Agentic technologies by designing and recommending scalable, resilient cloud architectures on AWS. The role involves understanding customer challenges, unblocking them to reach production faster, and influencing the AWS roadmap based on customer feedback. It also includes creating and sharing technical content like whitepapers, blogs, and workshops, and evangelizing AWS GenAI/ML and Agentic workloads. | Ship | 5 |
| Principal Product Manager - Technical (PMT-ES), AWS Elemental Media Services The role is for a Principal Product Manager, Technical (PMT-ES) within AWS Elemental Media Services, focusing on defining product strategy and driving adoption for AI and media offerings. The individual will own complex service product development from vision to GTM, lead cross-functional teams, and develop long-term roadmaps. While the role involves AI and media services, the core function is product management, not direct AI/ML model development. | — | 5 |
| Account Manager, Amazon Vendor Services Account Manager for Amazon Vendor Services, responsible for managing a portfolio of complex vendor accounts across multiple EU marketplaces. The role involves developing strategic business plans, driving growth in selection, supply chain, marketing, and commercial performance. It requires leveraging data analytics and generative AI tools to identify opportunities and inform planning, while working cross-functionally with internal teams. The role emphasizes strategic thinking, data-driven decision making, and adapting to a rapidly evolving environment. | — | 5 |
| Sr Customer Solutions Manager, Strategic Accounts This role is for a Sr. Customer Solutions Manager at AWS, focusing on guiding enterprise customers through their cloud adoption journey, with a specific emphasis on agentic AI and digital transformation. The role involves collaborating with internal AWS teams and customer leadership to drive adoption, identify strategic opportunities, and ensure successful outcomes. While the role touches on agentic AI, the core function is customer-facing product/solution management and driving adoption, not direct AI/ML model development. | — | 5 |
| Sr. Worldwide GTM Specialist, Agentic AI Modernization, Data and AI GTM This role is a Go-To-Market (GTM) Specialist focused on driving adoption of Agentic AI services for application modernization within enterprise customers on AWS. The role involves leading customer engagements, partnering with technical teams, and bringing customer feedback to product roadmaps. It is a sales and business development focused role within the AWS ecosystem. | — | 5 |
| SDE III - LATech, LATech Software Development Engineer III role focused on building customer-facing solutions that leverage Machine Learning models for the Brazil marketplace, ensuring regulatory compliance and driving business growth. The role involves designing feedback loops, ecosystems, and scalable solutions with a pragmatic, iterative approach, working closely with business teams to define strategy and implement innovative solutions. | Ship | 5 |
| Principal Program Manager - AI Strategy This role is for a Principal Program Manager focused on enterprise-wide AI strategy and transformation. The individual will lead a multi-org AI adoption program, defining vision, building operating models, and driving productivity impact through AI/GenAI integration. Responsibilities include strategic leadership, program management, defining measurement frameworks, orchestrating experimentation, driving platform adoption, executive communication, establishing governance, and partnering with data teams. The role emphasizes shaping AI transformation, navigating ambiguity, and driving organizational alignment. | — | 5 |
| Data Engineer II, Creator Services Data Engineer II role focused on building production-grade ETL/ELT pipelines and data models to support AI-driven initiatives and self-service analytics within Amazon's Creator Services team. The role involves leveraging AWS services and collaborating with BI engineers and business stakeholders to drive monetization outcomes for creators. | Data | 5 |
| Solutions Architect, AdTech and MarTech Solutions Architect for AWS AdTech and MarTech, focusing on driving customer adoption of AWS services, including Generative AI. The role involves educating customers, providing technical design guidance, building relationships with stakeholders, and acting as a liaison between customers and product teams. It also includes building demos and Proofs of Concept (PoCs) to showcase the potential of AWS's GenAI strategy. | — | 5 |
| Corporate Counsel, AI & Digital Health, Health Services Legal Corporate Counsel for AI & Digital Health, supporting the legal aspects of AI/ML technologies in healthcare businesses, focusing on development, deployment, compliance, and governance. | — | 5 |
| Sr Learning Designer, Data Center Learning - New Hire Training This role focuses on designing and delivering AI-powered learning experiences for AWS data center employees. The Senior Learning Designer will use human-centered design principles, leverage generative and agentic AI for content creation and personalization, and utilize learning analytics to iterate and optimize training programs. The goal is to create scalable, impactful, and measurable workforce development solutions. | — | 5 |
| Senior Product Manager - Technical (Payments), Amazon Prime Senior Product Manager, Technical for Prime Payments, focusing on payment method expansion to drive member growth. This role involves defining strategy, managing roadmaps, and collaborating cross-functionally with engineering, design, finance, and legal teams to enhance the Prime member experience globally. The role requires strong technical product management skills, data-driven analysis, and the ability to influence stakeholders. | — | 5 |
| Principal PMT, Sponsored Products Principal Product Manager, Technical (PMT) for Amazon Ads' Sponsored Products and Brands team, focusing on building video advertising experiences using generative AI. The role involves charting product strategy, collaborating with partners, defining customer experiences, and influencing senior leaders to deliver personalized and engaging video content for shoppers. | — | 5 |
| Account Manager, Startups, AWS Early Startups, US East Account Manager for AWS Startups, focused on driving adoption and growth of AWS cloud platform among well-funded startups. The role involves working with founders, technical teams, and stakeholders to develop go-to-market strategies and accelerate customer success. Requires a passion for working with innovators and the latest AI tools, strong sales background, and technical aptitude to advise on AI/ML and data services. | — | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning large-scale, highly available services for processing advertising signals and powering real-time campaign optimizations, attribution, reporting, analytics, and billing across Amazon's performance advertising businesses. The role involves handling billions of requests per day with millisecond-level latencies and strict SLAs on massive distributed datasets. | — | 5 |
| Sr. Product Marketing Manager, B2B, Alexa Enterprise This role is for a Sr. Product Marketing Manager focused on B2B enterprise AI products, specifically Alexa Enterprise. The candidate will develop and execute go-to-market strategies, lead product positioning and messaging, craft high-impact content, develop sales enablement materials, and conduct market research to refine GTM strategies and product roadmaps. The role involves collaborating with various internal teams and external enterprise customers to leverage voice technology and Generative AI. | — | 5 |
| Sr. Product Manager - Technical, Alexa for Shopping The Sr. Product Manager, Technical for Alexa for Shopping will own the end-to-end Shopping Actions experience, driving product vision and execution. This role requires leveraging AI/ML tooling in workflows, defining product roadmaps, writing product requirements, and operating across engineering and science organizations. The focus is on the core transactional layer of conversational commerce, aiming to delight customers with AI-powered shopping experiences. | Ship | 5 |
| AI Security Specialist Solutions Architect, SSO Security team This role is an AI Security Specialist Solutions Architect focused on helping enterprise customers securely adopt generative AI technologies on AWS. The specialist will guide customers on AI security best practices, compliance with regulations like the EU AI Act and China GenAI regulations, and defense against AI-powered attacks. They will execute security assessments, deliver workshops, and advise on secure AI development lifecycles, including data protection, model access control, and output filtering. | Agent | 5 |
| Front-End Engineer, Amazon Quick, Amazon Quick Front-End Engineer III for Amazon Quick, a generative AI-powered assistant. This role involves designing and delivering complex, scalable front-end capabilities for web and mobile platforms, focusing on next-generation AI-powered user experiences. Responsibilities include owning front-end architecture, UI frameworks, component libraries, design systems, leading feature delivery, championing agile and DevOps practices, collaborating with UX, product, and science teams, writing clean code, and mentoring engineers. | — | 5 |
| AI Data Associate - Arabic, AGI DS The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include data annotation, quality assurance, root cause analysis of errors, and process improvement suggestions, all while maintaining strict confidentiality. The role requires strong analytical skills, attention to detail, and language fluency in Arabic and English. | Data | 5 |
| Software Development Engineer, Personalization, Amazon Buy Again Software Development Engineer role focused on building next-generation shopping experiences using machine learning, big data, and LLMs for Amazon's Personalization organization. The role involves full-stack development from backend systems to user interfaces, with a focus on personalization and recommendation systems. | Ship | 5 |
| Account Manager, AVS This role is for an Account Manager at Amazon, focusing on growing complex brands on Amazon's AVS platform. The role involves strategic planning, managing vendor relationships, driving growth across selection, supply chain, marketing, and commercial performance. It requires leveraging data analytics and generative AI tools to identify opportunities and develop solutions, working cross-functionally with internal teams, and mentoring junior members. The role is customer-centric and requires navigating complex market dynamics. | — | 5 |
| Support Engineer, Sapien Application Engineer role supporting Amazon's Retail Business Services (RBS) by leveraging automation and Machine/Deep Learning to solve business needs, improve operational efficiency, and maintain services. Responsibilities include troubleshooting, debugging, implementing solutions, creating automation scripts, monitoring, and on-call support. | — | 5 |
| Software Development Engineer, Amazon Brand Store Software Development Engineer role focused on building full-stack applications for Amazon Brand Stores, leveraging generative AI to enhance brand-building experiences for advertisers and shoppers. The role involves designing, developing, and owning customer-facing and advertiser-facing applications, exploring new AI technologies, and collaborating cross-functionally. | Ship | 5 |
| Senior Solutions Architect, Retail, Restaurant, Consumer Packaging - Greenfield This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Restaurant, and Consumer Packaging sectors. The primary responsibility is to engage with customers to understand their business needs and design secure, reliable, and cost-effective cloud-native architectures using AWS services. The role involves partnering with sales teams to drive revenue growth and accelerate AWS adoption. While the role requires broad technical competence across various areas including AI/ML and Generative AI, its core function is in cloud architecture and customer engagement, not direct AI/ML model development or deployment. | — | 5 |
| Principal Game Designer, RBKS AI Principal Game Designer at Amazon's RBKS AI team, focusing on designing innovative AI-powered interactive experiences for Ring customers. The role involves leading the design vision, core engagement loops, and integration of AI features, collaborating with science and engineering teams, and mentoring design craft. Requires extensive game industry experience and a strong understanding of UX patterns and AI-driven product development. | Ship | 5 |