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 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
| Title | Stage | AI score |
|---|---|---|
| Systems Development Engineer, Controls Engineering This role involves supporting and maintaining software solutions for a large Reliability Maintenance Engineering (RME) enterprise, focusing on integrating and developing higher-level software systems that connect low-level automation systems with the cloud. The role will leverage Machine Learning and Big Data for predictive actions to prevent downtime and improve equipment effectiveness. The primary responsibilities include designing, developing, testing, and deploying new software, systems, infrastructure, networking, or automation improvements, with a focus on AWS and field-deployed infrastructures. | Serve | 5 |
| Data Engineer - I, DAVENGERS(Data Avengers) Data Engineer role focused on building and supporting a data platform that serves both business intelligence and machine learning applications. Responsibilities include designing data infrastructure, managing AWS resources, collaborating with applied scientists and other tech teams to build data pipelines for ML models, and implementing advanced analytics algorithms. |
| Data |
| 5 |
| Program Manager, Translation Quality, Translation Services Operations Program Manager for Translation Services Operations at Amazon, focusing on defining and driving quality mechanisms, standards, and frameworks for machine translation and LLM development. This role involves cross-functional partnership, data analysis, and process improvement to ensure translation quality across numerous language pairs and content types. | — | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on helping enterprise customers adopt and implement Generative AI and agentic AI solutions on the AWS platform. The Solutions Architect will guide customers through technical engagements, focusing on migration, modernization, security, and customer expansion strategies, with a strong emphasis on GenAI and agentic AI adoption. The role requires deep expertise in AWS technologies and broad knowledge of modern application architectures, including AI/ML services. | — | 5 |
| Software Development Engineer, Amazon Marketing Cloud Software Development Engineer on the Amazon Marketing Cloud (AMC) team, focusing on services that power AMC and enable it to scale. The role involves building secure, privacy-safe analytics environments for advertisers, ingesting billions of behavioral signals daily, and working with massive scale streaming systems, machine learning, data science, and cloud-native development. | — | 5 |
| Senior Product Manager - Technical, ES , AWS Payments and Fraud Prevention Product Manager for AWS Payments and Fraud Prevention, focusing on defining and driving large-scale, cross-company initiatives. The role involves managing the complete payment lifecycle, protecting against fraud, and leveraging AI to enhance customer experience and operations, including autonomous systems, fraud investigation acceleration, real-time decision-making, and personalized payment experiences. The role requires developing strategy, driving roadmap, and working with engineering and cross-functional teams to deliver platform improvements and new products. | Ship | 5 |
| Application Engineer, RBS Application Engineer role focused on developing and optimizing intelligent automation solutions using ML/DL for Amazon's Retail Business Services, impacting product catalog, supply chain, and operations. The role involves technical leadership, hands-on development, complex problem-solving, mentoring junior engineers, and collaborating with stakeholders to improve operational efficiency and customer experience. | Ship | 5 |
| S&OP Planning - 3P & SWA, S&OP This role focuses on improving supply chain planning processes by developing forecasting models and automating manual tasks. It involves data analysis, root cause analysis, and building deterministic and ML models, with a focus on using readymade ML models and Python skills. | Data | 5 |
| Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions, particularly with Amazon Connect and Lex. The role involves acting as a trusted advisor to customers, guiding them through their cloud journey, providing technical expertise, and ensuring successful project delivery. Requires experience in cloud architecture, contact center technology, and conversational AI frameworks. | — | 5 |
| Sr. Program Manager, Global Language Experience, Amazon Advertising The Sr. Program Manager will own the strategy and execution for translation quality in AI-driven advertiser support, focusing on improving multilingual experiences at global scale by identifying, evaluating, and advancing technologies and processes. This role involves defining quality metrics, partnering with cross-functional teams, and shaping the long-term vision for AI in multilingual support. | Agent | 5 |
| Sr. Technical Program Manager, Alexa Excellence AI Ops The Sr. Technical Program Manager will drive programs focused on AI-powered operations for Alexa, ensuring availability and reliability. This role involves managing initiatives for intelligent anomaly detection, automated incident response, and predictive reliability systems, as well as supporting Alexa's international expansion. The TPM will partner with scientists, engineers, and business leaders to deliver programs that advance operational intelligence at scale. | Ship | 5 |
| Robotics - Software Development Engineer Software Development Engineer role focused on robotics at Amazon, involving the design, development, and testing of software components that interact with fulfillment center technologies like robotics, material handling equipment, computer vision, and cloud services. The role also involves leveraging GenAI and AI-powered tools to enhance development productivity. | Ship | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Prin. Analytics Specialist SA, Strategic Accounts, AGS Data and AI Specialist Solutions Architect Principal Solutions Architect for AWS Strategic Accounts, focusing on designing and implementing AI and Analytics solutions for customers. This role involves deep customer engagement, architectural guidance, and influencing product roadmaps, with a strong emphasis on generative AI, data strategy, and adoption patterns. | Agent | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| Software Development Engineer-II (SDE 2), Worldwide Returns & ReCommerce - OpsEval Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases. | Data | 5 |
| Software Development Engineer-II (SDE 2), Worldwide Returns & ReCommerce - OpsEval Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases. | Data | 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 |
| Solutions Architect, SSA Solutions Architect for AWS in South Africa, focusing on enterprise clients. Responsibilities include technical relationship ownership, solution design, migration strategies, security, and best practices. The role involves educating customers on AWS technologies, including Generative AI and Agentic AI, and acting as an internal advocate for platform improvements. Requires experience in technology domains, cloud computing, systems engineering, and engaging with senior executives. Preferred qualifications include customer-facing experience, AWS technologies, and implementing Generative AI in an enterprise context. | — | 5 |
| AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data. This role involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The associate will also provide floor support and identify process improvements. | Data | 5 |
| Sr HRBP, EU Business Finance, G&A This role is for a Sr HRBP in Amazon's EU Business Finance organization, focusing on HR strategy, organizational effectiveness, change management, and leadership coaching. While the role encourages the adoption and strategic application of AI tools within HR to enhance effectiveness, improve decision-making, and streamline processes, the core responsibilities do not involve building or shipping AI/ML models or systems. The primary focus is on HR strategy and people initiatives, with AI tools being a means to enhance these HR functions. | — | 5 |
| Solutions Architect III, WWPS Senior SA - EDU & SLG Solutions Architect III for AWS, focusing on guiding customers in designing and implementing cloud architectures, including Generative AI solutions like Amazon Bedrock. The role involves technical leadership, trusted advisory, influencing product roadmaps, and creating thought leadership content. | — | 5 |
| Senior Financial Analyst, AWS Sales Analytics Senior Financial Analyst role at AWS focused on sales pipeline analysis and revenue forecasting. The role involves modeling financial data, building reporting mechanisms, and developing analytical frameworks. A key responsibility is to build automated, GenAI-powered reporting and analysis workflows to accelerate pipeline insight generation, indicating the use of AI tools to enhance existing financial analysis processes. | — | 5 |
| Principal PMT, Creative Intelligence Product Manager role focused on defining the vision and strategy for AI-powered creative intelligence and optimization systems within Amazon Ads. The role involves owning the product definition for closed-loop systems that improve creative performance, establishing quality frameworks, and driving cross-organizational alignment. The goal is to make personalized, high-performing creative a foundational layer of advertising. | Ship | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses. | Data | 5 |
| Sr. Manager, Fraud Prevention, WW Gift Cards Senior Manager role for Amazon's Gift Card business, focusing on end-to-end fraud prevention strategy. This role involves strategic planning, roadmap ownership, and leading cross-functional teams including Machine Learning, Product, and Tech to reduce fraud and ensure a frictionless customer experience. Key responsibilities include driving fraud reduction through ML model enhancements, detection signals, and establishing AI-driven real-time decisioning frameworks. | Ship | 5 |
| Sr. OpenSearch Specialist Solutions Architect, WWSO Data & AI, AWS This role is for a Sr. OpenSearch Specialist Solutions Architect at AWS. The primary focus is on advising customers on designing and deploying scalable, secure, and performant search, analytics, and Generative AI solutions using Amazon OpenSearch. The role involves architectural reviews, migration assessments, and collaborating with product and sales teams to influence roadmaps and drive customer adoption. It also includes community building and creating enablement resources. | — | 5 |
| Senior Economist Economist to develop science behind measuring and optimizing B2B marketing investment for AWS. This is a greenfield opportunity to build a brand measurement capability from the ground up, defining frameworks, methodologies, and best practices. The role involves developing econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue, and quantifying optimal brand investment and returns. It requires applying causal inference methods suited to long-horizon, slow-moving brand effects and partnering with marketing, finance, and strategy teams to translate findings into actionable recommendations. The role also involves consulting with business stakeholders and staying current on brand measurement literature. | — | 5 |
| Software Dev Engineer II, Creative X Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features. | Ship | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Vendor Manager - Strategic Projects & Vendor Experience, WWGS (Worldwide Grocery Stores) This role focuses on driving profitability improvements in Amazon Grocery through strategic vendor programs and business process automation, leveraging AI-powered tools. The Vendor Manager will lead projects, analyze data, partner with tech teams, and improve processes to enhance vendor funding and overall P&L. The role requires strong program management, analytical skills, and experience in implementing automation solutions. | — | 5 |
| Sr Business Intelligence Engineer, FBA Analytics This role is for a Sr. Business Intelligence Engineer focused on FBA Analytics at Amazon. The primary responsibilities involve developing analytical methods, KPIs, and dashboards, and building AI workflows to support data-driven strategic decisions. The role requires strong SQL, data processing, and statistical analysis skills, with experience in AWS technologies and scripting for automation. While it mentions building AI workflows and using machine learning, the core focus is on business intelligence and analytics rather than core AI/ML model development. | — | 5 |
| BIE II - FBA Product Analytics, FBA Analytics This role focuses on building AI workflows and using ML/statistical techniques to analyze business data and inform product strategy within the FBA analytics team. It involves developing metrics, dashboards, and automated reporting, with a preference for experience leveraging generative AI tools. | — | 5 |
| Data Scientist , Prime Video - Advertising Data Scientist role focused on building and guiding data-driven frameworks for ad experience personalization, yield optimization, and monetization within Prime Video. This involves using advanced statistical and machine learning techniques on large-scale data, designing end-to-end data science workflows, building and maintaining statistical models for various ad-related predictions, and partnering with product and economics teams to design experiments and measure impact. The role aims to improve customer experience and advertiser results, supporting hundreds of millions of users. | Ship | 5 |
| Product Marketing Manager, Amazon Marketing & Prime Canada Product Marketing Manager for Amazon Canada, focusing on seasonal events, merchandising, social media, and customer engagement. The role involves campaign execution, content optimization, data analysis, and reporting. While not directly building AI, the role explores and utilizes generative AI tools for workflow efficiency and identifying enhancement opportunities. | — | 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 |
| Principal Technical Program Manager, Alexa AI Developer Tech The Principal Technical Program Manager will lead strategic initiatives for the Alexa AI Developer Tech team, focusing on building AI-native SDKs and tools for developers to create engaging customer experiences for Alexa+. This role involves managing programs across cross-functional teams, driving technical requirements, and ensuring the successful launch of new features for a next-generation AI assistant. | — | 5 |
| Banking & Payments Specialist, EMEA Financial Services Industry Development This role focuses on guiding EMEA's leading Banking and Payments customers in accelerating their adoption of AI and Cloud technologies within the AWS Financial Services Industry Business Unit. The specialist will act as a strategic partner, lead pre-sales activities, identify requirements for new offerings, and conduct executive workshops. The role emphasizes business development and domain expertise, ensuring financial institutions innovate while meeting strict security and compliance standards, with a focus on Generative AI and customer experience transformation. | — | 5 |
| Senior Product Manager - Tech, Selection Monitoring This role is for a Senior Product Manager on Amazon's Selection Monitoring team, focusing on improving customer experience by enabling agentic shopping experiences, growing brand and product selection, and enriching catalog information. The role involves leading product strategy, defining roadmaps, working with engineering teams, and applying ML/GenAI solutions to manage a massive product catalog. The primary focus is on delivering customer-facing products and features related to product selection and information enrichment. | — | 5 |
| Sr. Customer Solutions Manager, UKI Customer Solutions Management, Field-AGS-UKI-ENT-CS This role is for a Sr. Customer Solutions Manager at Amazon Web Services (AWS) in the UK & Ireland. The primary responsibility is to guide large and complex customers through their cloud adoption journey, ensuring effective collaboration between AWS teams and the customer. The role involves acting as a trusted partner, leveraging transformation expertise, and driving customer education, governance, and migration planning. A key aspect is proactively solving customer challenges with new ideas and providing guidance on their Generative AI strategy. The role requires strong delivery and change management background, excellent problem-solving abilities, and exemplary communication skills. | — | 5 |
| AI Data Associate (NL), Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon. | Data | 5 |
| AWS Senior AI Specialist Sales – ISV This role is a Senior AI Specialist Sales professional for AWS, focused on driving the adoption of AWS AI services within the ISV sector in India. The individual will engage with C-level executives to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation. Responsibilities include leading executive briefings, driving adoption of AI services, solution design, sales execution, and thought leadership. The role requires deep AI/ML expertise and sales success, with a focus on business outcomes and revenue targets. | — | 5 |
| Sr. Solutions Architect, Solutions Architecture This role is for a Senior Solutions Architect at AWS who will help customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with AI technologies, focusing on migration, modernization, and security. | — | 5 |
| Principal HRBP, International Tax and CCR, G&A This role is for a Principal HR Business Partner at Amazon, focusing on the International Tax and Communications & Corporate Responsibility (CCR) organizations. The position involves leading people strategy, organizational design, executive development, and HR excellence for globally dispersed functions. The role requires partnering with executive leaders, driving change management, providing leadership coaching, and leveraging data for HR priorities. A key aspect is the demonstration and strategic application of AI tools, including generative AI, within the HR function to enhance effectiveness, streamline processes, and improve decision-making. The role also involves coaching others on AI applications and building AI fluency within the HR community. | — | 5 |
