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 |
|---|---|---|
| Software Dev Engineer II, Amazon Connect Talent Software Development Engineer II role within AWS Applied AI Solutions, focusing on developing AI systems for Amazon Connect, an AI-powered customer experience solution. The role involves contributing to technical decisions, implementing AI features, and ensuring accuracy, latency, and compliance, while also mentoring junior engineers. | Ship | 5 |
| Data Scientist II - AMZ26888.1 Data Scientist II role focused on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models using large datasets. The role involves SQL/ETL, data validation, and implementing models with considerations for computational demands and reliability. | Data |
| 5 |
| Principal Product Manager-Tech, NAS Fitness and Fandom The Principal Product Manager-Tech will lead product strategy for the Licensed Sports fan CX vision, shaping disruptive strategies to deliver game-changing experiences for fans worldwide. This role involves defining scalable solutions for fan-first browse, discovery, and personalization powered by Sports Profiles, event-driven CX, and AI/ML-powered content strategies. The PMT will own product strategy for automated content engines powered by LLMs and generative image models, especially around tentpole sporting events. | Ship | 5 |
| Sr. Product Manager - Tech, Amazon Private Brands This role is for a Sr. Product Manager - Technical to own and drive products within Private Brands Central, a product lifecycle management solution for worldwide Amazon Private Brands. The goal is to reduce time to market and enhance productivity by rethinking retail development and product management norms, with a focus on automating retail tasks with Gen AI. The role involves setting vision, building solutions from scratch, and working across strategic businesses with global stakeholders. | — | 5 |
| Principal Technical Program Manager, Sponsored Products and Brands Principal Technical Program Manager for Amazon Ads' Sponsored Products and Brands team, focusing on leveraging generative AI to improve advertising experiences and drive monetization across multiple business verticals. The role involves strategic roadmap shaping, cross-org execution, mechanism scaling, and technical design review, with an emphasis on program growth and revenue impact. | — | 5 |
| Principal Technical Program Manager , Annapurna ML The role is for a Principal Technical Program Manager on the Annapurna ML, Neuron team at Amazon. This team delivers software for Machine Learning Accelerated EC2 instances, focusing on compilers, drivers, runtime, and integrated PyTorch/TensorFlow stacks for distributed training and inference. The TPM will own the capacity request lifecycle, coordinate across teams, establish dashboards and metrics, and manage large projects from intake to delivery. Responsibilities include collecting requirements, writing specifications, driving schedules, managing launches, and leading cross-functional design/implementation efforts. The ideal candidate has a strong technical and program management background, experience leading complex projects, and a well-rounded technical understanding of current ML technologies and related infrastructure. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data to detect anomalies and prevent fraudulent activity on Amazon's platform. It involves designing and building software systems, analyzing customer trends, deploying rules, and creating reporting and dashboards. While the team uses machine learning and AI tools, the analyst role itself is primarily focused on data analysis, rule-based systems, and operational support rather than core AI/ML model development. | — | 5 |
| Solutions Architect, Solutions Architecture Solutions Architect for AWS focusing on hi-tech and semiconductor clients, driving adoption of cloud technologies including GenAI and agentic AI. Responsibilities include cloud modernization, optimizing workloads, architecting solutions for engineering tasks, and accelerating customer outcomes with AI/ML. | — | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on helping hi-tech and semiconductor companies adopt AWS services, with a significant emphasis on Generative AI and agentic AI solutions. The Senior Solutions Architect will bridge customer challenges with AWS capabilities, focusing on cloud modernization, compute-intensive workload architecture, and driving GenAI adoption for outcomes like AI-assisted chip design and intelligent automation. The role requires strong technical and customer-facing skills to engage with various stakeholders, from engineers to C-level executives. | Agent | 5 |
| Technical Program Manager III (TPM), Amazon Connect Decisions Technical Program Manager to join a team building enterprise applications leveraging GenAI/Agentic AI for supply chain optimization within AWS Applied AI Solutions. The role involves defining and driving technical programs across multiple engineering teams, partnering with product management, and influencing strategy and outcomes. | Agent | 5 |
| Software Development Engineer II, Automated Reasoning Group Software Development Engineer II role focused on building and enhancing services that use Automated Reasoning to verify Generative AI outputs, specifically addressing hallucinations. The role involves designing and implementing complex distributed systems, owning components end-to-end, and collaborating with various teams to translate requirements into technical solutions. | Eval Gate | 5 |
| Data Engineer, Deal Intelligence & Automation, AWS GDSP Data Engineer role focused on building and maintaining data infrastructure for deal intelligence and automation. The role involves designing, building, and maintaining pipelines, data models, and platforms using AWS services and generative AI to provide insights for deal teams, pricing leaders, and executives. Emphasis on data quality, freshness, and accuracy to impact deal velocity, pricing quality, and revenue. | Data | 5 |
| Sr. GenAI Partner Development Mgr, AMER Tech Partners - GenAI Team This role focuses on managing and developing partnerships with Generative AI ISVs to drive go-to-market strategies and adoption of AWS cloud services within the GenAI domain. It involves leading joint sales programs, setting revenue targets, managing pipelines, and collaborating with internal AWS teams and external partners to scale GenAI initiatives. | — | 5 |
| Senior Frontier AI Partner Development Manager, AMER Startup Partner Team This role is a Partner Development Manager at AWS, focusing on building relationships with startup Generative AI partners. The primary responsibility is to drive adoption of AWS services among these partners, manage strategic relationships, and develop go-to-market strategies to increase revenue and market adoption of partner solutions. It involves technical and business background, engaging at C-level, and managing pipelines and contract negotiations. | — | 5 |
| Forward Deployed AI Integrator, Data Center Engineering This role focuses on integrating AI-assisted workflows within AWS Field Engineering teams to automate tasks, improve reporting, and develop engineering tooling. The integrator will identify opportunities, drive adoption of AI tools, and convert experiments into repeatable regional standards, measuring success by transformed workflows and engineering hours saved. | Agent | 5 |
| Security Engineer II, AWS Cloud Security Response Security Engineer II for AWS Cloud Security Response team. This role involves investigating and resolving security issues across AWS services, building automation for incident response, and driving proactive solutions. The role emphasizes hands-on code work, security judgment, and leveraging AI-augmented workflows to accelerate security tasks. | Agent | 5 |
| Security Engineer II, AWS Cloud Security Response Security Engineer II for AWS Cloud Security Response. This role involves investigating and resolving security issues across AWS services, building automation for incident response, and driving proactive solutions. The role requires hands-on code engagement for remediations and working with AI-augmented workflows. | — | 5 |
| Risk Manager, Specialized Risk, Selling Partner Account Compromise This role focuses on risk management and data analysis within Amazon's Account Integrity team, specifically targeting selling partner account compromise. The responsibilities include analyzing large datasets to detect anomalies, understand bad actor behaviors, and deploy rules to prevent fraudulent access. The role involves creating and maintaining data sets, pipelines, and reporting, applying quantitative analysis and data mining to design alarm systems, and supporting cross-functional teams. While the role mentions using AI tools, its core function is risk analysis and rule deployment rather than building AI models. | — | 5 |
| Manager, Customer Solutions Management , AWS Nonprofits This role manages a team of Customer Solutions Managers (CSMs) focused on accelerating AI adoption within nonprofit organizations. The manager will guide their team in helping nonprofits leverage generative AI and agentic AI for autonomous workflows, AI-powered program delivery, and intelligent automation. The role requires technical credibility to shape customer journeys and team skills, focusing on driving the adoption of AI solutions to amplify nonprofit missions. | — | 5 |
| Customer Solutions Manager, AWS Global Nonprofit Business This role focuses on guiding nonprofit organizations through their cloud adoption and AI transformation journey, helping them leverage AWS services to achieve their missions. The Customer Solutions Manager (CSM) acts as a trusted advisor, developing roadmaps, identifying opportunities for AI and modernization, and enabling customers for responsible AI adoption. The role involves coordinating across internal AWS teams and customer stakeholders to drive measurable business outcomes, with a strong emphasis on deploying agentic AI workflows and generative AI solutions. | — | 5 |
| Prin. Analytics Specialist SA, Strategic Accounts, Data & AI Specialist SA Team Principal Solutions Architect (SA) for AWS Strategic Accounts, focusing on designing and implementing customer solutions leveraging AWS Analytics and AI services, including generative AI. The role involves direct customer engagement, providing architectural guidance, developing blueprints and content, and influencing GTM strategy and product direction. Key responsibilities include helping customers define their data strategy, generative AI strategy, and implement patterns like NLP pipelines and RAG. | Agent | 5 |
| Sr. Product Marketing Manager, Tech, AWS Marketing, Amazon Product Marketing Manager for AWS contact center solutions, focusing on go-to-market strategy and content creation for AI/ML-powered products serving millions of customers. | — | 5 |
| PM, Science Annotation Program Manager to lead an annotation program and support a team of Catalog Specialists in developing and enhancing machine learning models by providing high-quality annotated datasets. The role focuses on process development, annotation model performance, and team management to ensure efficient and accurate data annotation aligned with project objectives. | Data | 5 |
| Sr. Product Manager, MMPO This role is for a Sr. Product Manager on the Middle Mile Supply and Routing Optimization team at Amazon. The team builds complex software solutions to optimize the time and cost of package delivery, leveraging big data, machine learning, and optimization techniques. The Sr. Product Manager will drive the delivery of technology features for real-time routing, own efficiency metrics, and work cross-functionally to define strategic roadmaps. The role requires a strong understanding of Amazon's transportation operations, data analysis skills, and the ability to communicate insights to various stakeholders. | — | 5 |
| AI Data Associate with German, 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, to support the development and deployment of AI responsibly. This role involves working with various data types, delivering high-quality labeled data, and analyzing root causes to improve labeling quality. | Data | 5 |
| Sr. Software Development Engineer, Customer Anecdote Miner Senior Software Development Engineer role focused on architecting and leading the development of a brand experience platform, incorporating AI features and foundational services. The role involves technical strategy, cross-team collaboration, and partnering with ML scientists to build scalable solutions within Amazon's Retail Business Services. | Ship | 5 |
| Software Development Engineer II, Sponsored Products and Brands Software Development Engineer II for Amazon Ads Sponsored Products and Brands, focusing on leveraging generative AI to enhance advertising experiences, product discovery, and customer engagement. The role involves full software development lifecycle, collaboration with data scientists, and applying state-of-the-art technology to solve complex challenges in the advertising landscape. | Ship | 5 |
| Sr. Delivery Consultant Modernization, WWPS ProServe US-FedCiv This role focuses on designing and implementing AWS solutions, with a specific emphasis on supply chain modernization. It involves developing AI/ML models for demand forecasting and inventory optimization, architecting data pipelines, and advising on risk management strategies using predictive analytics. The role requires strong AWS expertise and consulting skills to guide customers through their cloud journey and digital transformation initiatives. | Data | 5 |
| Head of Brand Marketing Tech, XCM This role leads a team of engineers, creative technologists, and product managers to develop and deploy AI-powered creative solutions and marketing technology at a global scale. The focus is on improving creative production, content generation, and marketing automation, with end-to-end ownership of creative technology products. The leader will translate marketing needs into AI solutions, drive innovation through AI/ML and generative content tools, and manage the integration of AI into creative workflows, including governance for AI-generated content. | Ship | 5 |
| Principal Sales Specialist, Analytics, FSI This role is for a Principal Sales Specialist focused on Analytics within the Financial Services Industry (FSI). The primary responsibility is to drive revenue and market share by helping customers leverage AWS analytics and AI/ML services to achieve business success. The role involves understanding customer needs, aligning AWS solutions, educating customers on capabilities, and managing the sales process from evaluation to business case construction. It requires a blend of strategic sales leadership, technical acumen, and business understanding, with collaboration across various AWS teams and partners. | — | 5 |
| Solutions Architect III, Financial Services (FSI) - US Insurance Solutions Architect for AWS Financial Services, focusing on designing and implementing cloud solutions, including generative and agentic AI, for regulated financial institutions. The role requires deep technical expertise, understanding of complex compliance requirements (SOX, PCI-DSS), and acting as a trusted advisor to customer executives. | Agent | 5 |
| Healthcare Solutions Architect, India-PS Solutions Architect for AWS India, focusing on enabling Indian industries, particularly healthcare organizations, to build innovative services using AWS. The role involves owning technical engagements, developing deep expertise in AWS technologies, and architecting scalable IT systems. The candidate will advise on various technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless, and will be responsible for architecture, design, and demonstrating technologies. | — | 5 |
| Business Intelligence Engineer, APAC Retail BI This role is for a Business Intelligence Engineer on the APAC Retail BI team at Amazon. The engineer will support retail functions like merchandising, marketing, and inventory management by deriving business intelligence from data. Responsibilities include building data pipelines, data visualization solutions, and new Machine Learning models to predict outcomes. The role requires experience with data analysis tools, visualization tools, and scripting languages. | Data | 5 |
| Associate II, ML Data Operations, GO-AI Operations This role is for an Associate II, ML Data Operations at Amazon Robotics, focusing on data annotation for training and validating machine learning models. It's a non-technical role that requires executing data annotation tasks across various modalities (text, image, video, audio) to support LLM capabilities and robotics development. The role involves analyzing processes, ensuring data quality, and contributing to operational improvements. | Data | 5 |
| Software Development Engineer, CAM Software Development Engineer role focused on building and scaling automation solutions using Machine/Deep Learning and LLMs for Amazon's Retail Business Services. The role involves designing, developing, and deploying robust engineering platforms to solve high-impact business problems, with a focus on retail automation and customer experience. | Ship | 5 |
| AI Data Associate with Dutch , 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, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency. | Data | 5 |
| AI Data Associate - French, Artificial General Intelligence This role is responsible for foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The role requires strong attention to detail, analytical thinking, and the ability to interpret and implement detailed instructions. | Data | 5 |
| Analytics/AI Specialist Solutions Architect , AGS US Specialist SA This role is for an Analytics Specialized Solutions Architect on the AWS Global Sales team. The primary focus is on helping customers leverage AWS analytics services to solve complex business problems, acting as a trusted advisor and thought leader. While the role operates within a company that heavily utilizes AI and offers AI services, the core responsibility is not to build or research AI models but to architect solutions using existing AWS services, including those related to data and analytics which can be foundational for AI. | — | 5 |
| AWS Sr Product Manager Tech, AWS Support Product Manager for GenAI-powered troubleshooting experiences within AWS Support. The role involves owning product strategy, defining requirements, and collaborating with engineering teams to build AI-driven solutions for customer issue resolution. Focus is on improving customer satisfaction, time-to-resolution, and service adoption using GenAI in cloud operations. | Agent | 5 |
| Software Dev Engineer II, Alexa Speech Middleware Software Development Engineer II role focused on building consumer-facing AI-powered applications (Alexa devices) that integrate voice and multi-modal services. The role involves leveraging Gen AI tools throughout the SDLC and driving engineering best practices. While the role uses AI tools and integrates AI services, it is not primarily focused on building core AI models or research. | Ship | 5 |
| Software Dev Engineer II, Alexa Speech Middleware Software Development Engineer II role focused on building consumer-facing AI-powered applications (Alexa devices) that integrate voice and multi-modal services. The role involves leveraging Gen AI tools throughout the SDLC and driving engineering best practices. While the role uses AI tools and integrates AI services, it is not primarily focused on building core AI models or research. | Ship | 5 |
| Sr. Specialist, GenAI, Frontier Models GTM This role focuses on Go-to-Market (GTM) strategies for AWS's GenAI Training and Inference services, aiming to accelerate customer adoption of foundation models and related AWS services. The responsibilities include understanding customer ML infrastructure needs, developing GTM plans, evangelism, creating demos, and working with product teams to shape product vision. The role requires a blend of business and technology expertise, with a focus on scaling GenAI workloads on AWS. | — | 5 |
| Sr. Product Manager, Vendor Experience Senior Product Manager to define and lead the next generation of experiences for vendors on Amazon, focusing on Agentic AI to shape how vendors discover, manage, and grow their business. This role involves owning the product vision and roadmap for core vendor experiences, partnering with cross-functional teams, and driving the AI strategy for autonomous and semi-autonomous AI experiences. | Agent | 5 |
| Principal Worldwide GTM Specialist - GenAI, Bedrock, Data & AI GTM This role focuses on defining and executing Go-To-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The specialist will work with product managers, customers, and model providers to accelerate adoption, influence product direction, and develop joint GTM plans, engagements, and proof-of-concepts. The role requires a blend of business and technology background, with domain expertise in Generative AI and ML use cases, and the ability to articulate the benefits of GenAI services to technical and executive audiences. | — | 5 |
| Sr Worldwide GTM Specialist - GenAI, Amazon Bedrock, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The specialist will work with product managers to influence product direction, engage with customers to understand their needs, develop joint GTM plans with model providers, and drive customer adoption of GenAI solutions. The role requires a blend of business and technology background, with domain expertise in Generative AI and experience in articulating the benefits of AI/ML services to various audiences. | — | 5 |
| Sr Worldwide Specialist - GenAI, Amazon Bedrock, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a GenAI service. The responsibilities include accelerating customer adoption, influencing product direction, developing joint GTM plans with model providers, creating content, driving thought leadership, and working with customers to understand their technical requirements and business problems. The role requires a blend of business and technology expertise in Generative AI and ML-powered use cases, with a focus on market development and evangelism. | — | 5 |
| SAP Solution Architect, WWPS Global ISV Partners This role focuses on architecting SAP solutions on AWS for public sector customers, including designing and migrating SAP landscapes. It involves technical leadership across the full lifecycle, from pre-sales to optimization, with a strong emphasis on regulated environments. The role also includes supporting RFPs, building stakeholder relationships, and mentoring junior architects. While the role touches on SAP AI services and GenAI capabilities, its core function is the architecture and implementation of SAP solutions on AWS, not the direct development or research of AI models. | — | 5 |
| Sr. Strategic SCM, CA SCE, Canada Product and Tech This role focuses on optimizing Canada's supply chain through strategic projects, forecasting, and inventory efficiency. While it involves defining business requirements and launching features, the core function is supply chain management, not direct AI/ML model development. It mentions using generative AI tools for workflow efficiency as a preferred qualification. | — | 5 |
| Principal Worldwide GTM Specialist - GenAI, Bedrock, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The specialist will engage with product managers, customers, and model providers to accelerate adoption, influence product direction, and develop joint GTM plans, engagements, and proof-of-concepts. The role requires a blend of business and technology expertise in Generative AI, with a focus on market development and evangelism. | — | 5 |
| Software Development Engineer, Alexa Connected Devices Software Development Engineer role focused on building and operating Tier-1 cloud services for Alexa+, a next-generation AI-powered personal assistant. The role involves designing scalable services, leveraging generative AI in development workflows, and collaborating with cross-functional teams to deliver customer-facing features. While the role uses AI extensively, it focuses on the engineering and operational aspects of AI-powered products rather than core AI research or model development. | Ship | 5 |