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 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 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Amazon Music - DISCO Research Scientist role focused on measuring and optimizing marketing activities for Amazon Music using causal models and RCTs. The role involves designing, building, and validating causal models, conducting randomized controlled trials, performing statistical analysis, and providing data-driven recommendations to marketing teams. It requires a strong background in consumer research, causal inference, and statistical analysis, with the ability to translate complex data into actionable insights. | — | 5 |
| Sr. Technical Business Development Manager, AWS Cloud Innovation Centers This role supports the AWS Cloud Innovation Center (CIC) by building and maintaining a pipeline of technical prototyping engagements for student workers, organizing executive innovation events, and contributing to the program's broader growth strategy. The goal is to enable student developers to build scalable solutions for public sector organizations, accelerating their cloud and AI journey. | — | 5 |
| Senior Capital Markets Specialist , EMEA Financial Services Industry Development This role focuses on driving the adoption of AWS AI and Cloud technologies within the EMEA Financial Services Industry, specifically targeting capital markets clients. The specialist will act as a trusted advisor, partnering with sales teams to identify opportunities, engage stakeholders, and translate emerging technologies into customer-relevant solutions. The role emphasizes business development, domain expertise, and ensuring security and compliance. | — | 5 |
| Sr Business Intelligence Engineer, AWS Marketplace & Partner Services This role is for a Senior Business Intelligence Engineer within AWS Marketplace & Partner Services. The primary focus is on architecting and deploying agentic data experiences, semantic models, and automated frameworks that transform raw data into business-ready insights. The engineer will enable data-driven decision-making by delivering reporting frameworks, deep-dive analyses, and self-service analytics tools, including AI-powered agents and semantic layers. The role involves translating complex data into stakeholder-ready narratives and partnering with Product, Engineering, and Data Engineering teams. | Agent | 5 |
| Solution Architect, Startups Solution Architect role focused on helping early-stage startup companies build and deploy scalable and secure architectures on AWS, with a focus on cloud computing and Generative AI. The role involves technical decision-making, customer relationship building, and advocating for product needs. | — | 5 |
| Software Development Engineer, AWS Vulnerability Management (AVM) Software Development Engineer role focused on building and maintaining security services within AWS Vulnerability Management. The role involves designing and implementing machine learning-based systems for vulnerability prediction and prioritization, operating at cloud scale, and integrating security controls with AWS services. | Agent | 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, Alexa Connected Devices Software Development Engineer role focused on building and operating Tier-1 cloud services for Alexa+, leveraging generative AI in development workflows and designing systems with AI components at scale. | Ship | 5 |
| Data Scientist, Amazon Data Scientist role focused on building analytics and insights capabilities for Consumer Payments organization. This involves applying statistical and machine learning techniques to extract trends, identify anomalies, and develop scalable science solutions. The role requires collaboration with various stakeholders and a strong foundation in data querying and scripting languages. | Data | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services, focusing on helping enterprise customers migrate sensitive workloads to the cloud by addressing risk, regulatory, and compliance requirements. The role involves designing and implementing scalable security and compliance solutions, educating customers on AWS services, and contributing to the security assurance practice. While the role interacts with generative AI and security assurance services, its core function is not building AI models but rather ensuring customer compliance and security in the cloud environment. | — | 5 |
| Solutions Architect, Financial Services, Solutions Architecture Solutions Architect for Financial Services customers on AWS, focusing on designing and implementing cloud-native architectures, accelerating adoption of AWS services, and connecting technology with business value. Requires broad technical competence and deep expertise in 2-3 areas, including AI/ML and Generative AI. | — | 5 |
| AWS AI Specialist Sales – ISV This role is for a Senior AI Specialist Sales professional at AWS, focused on driving the adoption of AWS's AI services, particularly Generative AI and Agentic AI, within ISV/DNB sectors. The individual will engage with C-level executives to bridge business strategy with technical implementation, develop business cases, and own revenue targets. While the role involves deep AI/ML expertise and understanding of the AI value chain, its core function is sales and driving adoption, not direct AI/ML model development or research. | — | 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 |
| Global Artificial Intelligence Associate, MLD Operations The role involves reviewing and tagging image/video content for machine learning models, acting as a human-as-sensor to support ML technology. It requires high attention to detail, speed, and accuracy in performing repetitive tasks to meet productivity and quality targets. | Data | 5 |
| Sr. Product Manager, Technical, US Prime and Marketing Tech This role is for a Senior Product Manager, Technical, focused on creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising using generative AI. The role involves leading projects with distributed systems, generative AI integration, real-time personalization, and multi-channel orchestration, impacting how customers discover products at scale. | Agent | 5 |
| Software Development Manager, Selling Partner Financial Tech Software Development Manager to lead the Vendor Funding Booking team in building GenAI-powered solutions for Amazon Retail's financial systems, focusing on profitability and growth. The role involves owning a high-throughput software stack contributing billions of dollars monthly, driving vision, strategy, and the full development lifecycle for Finance and Accounting platforms. | — | 5 |
| Sr Techncial Program Manager , AWS Prototyping and AI Customer Engineering (PACE) This role owns and scales a partner-led AI prototyping program for AWS, focusing on scaling proven AI patterns like LLMs, RAG, and autonomous agents through technology partners. The TPM will design and run enablement programs, create reusable assets, and track KPIs to drive AI adoption. | Agent | 5 |
| Senior Product Manager - Technical, Seller Fees Science & Tech Senior Product Manager, Technical role focused on leveraging Generative AI to improve the experience of enabling fee changes for millions of sellers worldwide within Amazon's Selling Partner Services. The role involves envisioning and executing projects, engaging with stakeholders, managing roadmaps, and defining product requirements, with a focus on automating manual processes and enhancing seller experience. | — | 5 |
| Sr. Product Manager Technical, AWS Rendering This role is for a Senior Product Manager Technical within AWS Applied AI Solutions, focusing on AWS Deadline Cloud. The primary responsibility is to define and drive the product strategy, roadmap, and go-to-market for a cloud-based render management service. The role involves working with customers, engineering, and go-to-market teams to deliver features, with a specific emphasis on identifying and integrating AI/ML capabilities to enhance the service, such as AI-powered troubleshooting and intelligent scheduling. The role operates in a fast-paced, startup-like environment within AWS, aiming to make cloud rendering simple, scalable, and cost-effective for creative professionals. | Ship | 5 |
| Catalog Specialist, RCX This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes. | Data | 5 |
| AI Data Associate (Dutch) - Part Time, Artificial General Intelligence Data Services The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality. | Data | 5 |
| AI Data Associate (Dutch) - Part Time, Artificial General Intelligence Data Services The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality. | Data | 5 |
| Applied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science This role focuses on applying Operations Research, Optimization, and Supply Chain principles, with an integration of Gen AI, to solve large-scale problems in inventory management, sales planning, and distribution for Amazon Devices. The scientist will design, develop, and deploy mathematical and simulation models, and work with cross-functional teams to optimize business operations and drive financial impact. | Ship | 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 collaborating with product, technology, and science teams. The role requires proficiency in German and experience in data annotation for ML model training and evaluation. | Data | 5 |
| Senior Finance Analyst, AWS Account Receivable This role is for a Senior Finance Analyst focused on AWS Account Receivable and collections. While the role mentions leveraging AI tools for operational efficiency and requires AI literacy, the core responsibilities are in finance operations, process improvement, and automation, not in building or shipping AI models. The primary focus is on collections, AR, and financial operations, with AI being a tool to enhance these existing processes. | — | 5 |
| US NatSec BD/Capture Manager - GEOINT, US NatSec Federal Strategic Pursuits Business Development/Capture Manager for AWS focusing on the National Security GEOINT market segment, responsible for developing and executing strategies to drive cloud adoption and win large government contracts. Requires deep industry knowledge, capture management experience, and a strong understanding of government acquisition processes. While AI capabilities are mentioned as part of AWS offerings, the core function of this role is business development and sales within the defense sector. | — | 5 |
| 2026 Data Scientist Internship , Amazon University Talent Acquisition Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects. | Data | 5 |
| Senior Customer Success Specialist - GenAI, Customer Success Center of Excellence This role focuses on customer success and business transformation for enterprise clients adopting AWS's generative AI platform, Amazon Quick. The specialist will design strategies, develop methodologies, and enable partners to help customers move from AI experimentation to large-scale business process reinvention. The role requires deep expertise in enterprise business execution and AI adoption, with a focus on driving measurable business value. | — | 5 |
| Software Development Engineer, Amazon Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale. | Data | 5 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Associate Assurance Solution Architect, AWS Security Assurance Services LLC This role is a customer-facing Assurance Solution 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 translating compliance needs into scalable solutions and demonstrating how AWS services can achieve these objectives. While the role mentions Generative AI and responsible AI practices for productivity augmentation, its core function is not AI/ML model development but rather applying security and compliance expertise to cloud architectures, including those that may utilize AI services. | — | 5 |
| US NatSec BD/Capture Manager - Intelligence Community, US NatSec Federal Strategic Pursuits This role is a Business Development/Capture Manager for AWS National Security, focusing on selling cloud services and advanced AI capabilities to the US Government. The primary responsibility is to develop and manage a pipeline of cloud-related opportunities, create bid strategies, and oversee proposal development for government contracts. While AI/ML and GenAI are mentioned as capabilities to be sold, the core function of the role is business development and sales within the enterprise AI domain, not direct AI/ML development. | — | 5 |
| Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting This role focuses on building and maintaining analytical tools, dashboards, and data pipelines for long-term planning and forecasting within Amazon's supply chain. While the core function is business intelligence and data engineering, there's an explicit goal to integrate generative AI into these tools to accelerate insights and automate reporting. The role involves deep-dive analysis, data quality management, and stakeholder engagement, with a strong emphasis on using SQL, AWS services, and potentially Python for automation. The primary output is data-driven insights and tools, with AI integration being a key objective for enhancing these outputs. | Data | 5 |
| Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Senior Business Intelligence Engineer role focused on managing and optimizing the cloud infrastructure for AI technologies within Amazon's Alexa division. The role involves owning the BI strategy, designing and implementing dashboards and data models, building data pipelines, defining metrics, and collaborating with engineers to automate analytical processes. The goal is to provide visibility into infrastructure spend, GPU utilization, and identify cost savings, ultimately informing infrastructure investment decisions. | — | 5 |
| Software Development Engineer, Public Sector Customer Engineering Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies. | — | 5 |
| Senior Financial Analyst, Amazon Advertising Senior Financial Analyst role supporting the finance team for Amazon Advertising's AI Core Infrastructure (ACI) organization, which builds foundational AI/ML infrastructure. Responsibilities include financial modeling, business opportunity evaluation, financial reporting, and cost optimization for inference infrastructure. Requires strong financial modeling, problem-solving, and communication skills, with experience in fast-paced and ambiguous environments. | — | 5 |
| Sr. Supply Chain Manager, Deployment Team This role focuses on optimizing Amazon's global logistics and fleet operations using AI and machine learning, aiming to reduce turnaround times and maximize vehicle utilization. The Sr. Supply Chain Manager will lead strategic initiatives, develop AI/ML solutions for network capacity and resource allocation, analyze complex data, design automation mechanisms, and collaborate with stakeholders. | — | 5 |
| Principal PMT, Senior Talent Transformation This role is for a Principal Product Manager, Technical, focused on building an enterprise-wide workforce planning solution that leverages AI and machine learning for data-driven decision-making by senior leaders. The role involves designing and building integrated planning systems with AI-driven recommendations, creating intuitive interfaces, and driving project execution from concept to completion in a high-visibility, high-ambiguity environment. | Agent | 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 |
| Sr. Solutions Architect, FedCiv, WWPS SOLUTIONS ARCHITECTS Solutions Architect for US Federal Civilian Government agencies, focusing on implementing AWS solutions involving AI/ML, security, compute, storage, networking, serverless, and analytics. Acts as a subject matter expert on Generative AI/ML, owning technical engagements and defining implementation architectures. Requires strong AWS background, communication skills, and understanding of US Federal Government best practices for cloud solutions. Experience with Generative AI application building and deployment is preferred. | Agent | 5 |
| Software Develpment Engineer II, Physical Stores Payments Software Development Engineer II role focused on building the future of retail payments for Amazon's Physical Stores. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. The team works on innovative payment acceptance, processor integrations, and risk management, shaping the future of retail payments. | Ship | 5 |
| Strategic Supply Chain Manager, JP Books This role is for a Strategic Supply Chain Manager in Amazon's Books division. The primary focus is on improving customer and vendor experience through supply chain optimization, including demand forecasting, ordering, and inventory management. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and product delivery, not in building or researching AI models themselves. | — | 5 |
| Senior Product Manager-Monetization, Japan Monetization Team Senior Product Manager for Amazon Japan's Monetization team, focusing on developing and launching innovative solutions for Incentives & Monetization growth. This role involves defining product strategy, driving 0 to 1 initiatives, and working cross-functionally with engineering, data science, and marketing teams to enhance customer and selling partner experiences, with a focus on personalization and incentive programs. The role leverages AI/ML tools and platforms to achieve business objectives. | — | 5 |
| Sr. Software Development Engineer, Amazon Brand Compass Senior Software Development Engineer role focused on architecting and leading the development of a next-generation brand experience platform for Amazon's Retail Business Services. The role involves driving technical strategy, building foundational services, and enabling AI features by partnering with ML scientists and research teams to scale solutions. The primary focus is on shipping AI-powered products that improve brand experience and catalog enrichment. | Ship | 5 |
| AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement This role owns the AI and Surge Inference enablement strategy and program roadmap for the EMEA AGS Sales organization. The focus is on equipping sales teams with the skills, knowledge, and tools to lead AI conversations with customers and accelerate AI outcomes. It involves developing and delivering enablement programs across various AI domains, building relationships with sales leadership and AI stakeholders, and measuring program impact. | — | 5 |
| Software Development Engineer, Search Thematic Advertising Experiences Software Development Engineer to build scalable, high-performance systems that power natural language understanding, personalization, and other ML-driven capabilities for Amazon Ads. The role involves architecting and building services and infrastructure for new ad experiences, partnering with scientists to develop models, and deploying production systems that serve ML models at scale. | ServeAgent | 5 |
| Software Devlopment Engineer, FinTech Account Receivables Cash Applications Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform. | Ship | 5 |
| System Architect, Hardware Architecture System Architect role focused on defining hardware and silicon architecture for Amazon's consumer electronics products, including decisions on compute architecture, ML accelerators, and system components. The role involves tracking market trends, defining roadmaps, and collaborating with cross-functional teams throughout the product development lifecycle. | — | 5 |
| Applied Scientist, Last Mile Science The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems. | Ship | 5 |
