Currently tracking 1072 active AI roles, with 1266 new openings in the last 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 1520 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (983 roles), Canada (56 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 636 new AI-related roles. That is a -20% change versus the prior 30 days (798 → 636).
| Title | Stage | AI score |
|---|---|---|
| ML Data Associate-II The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role. | Data | 5 |
| ML Data Associate-II The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role. | Data | 5 |
| Agent |
| 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 |
| 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 |
| 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 |
| Sr. ABM Manager, National Security & Defense, AWS Industry Marketing Senior ABM Manager for AWS Industry Marketing focused on the National Security and Defense sector. The role involves designing and executing targeted marketing programs for government accounts to drive awareness, engagement, and pipeline growth, leveraging AWS cloud and generative AI capabilities. This is an individual contributor role working at the intersection of marketing, sales, and government relations. | — | 5 |
| Software Development Engineer, AFT Flow Controls Software Development Engineer role focused on optimizing and solving complex problems in Amazon's global fulfillment operations using AI-powered development tools and AI-first methodologies. The role involves designing, implementing, and shipping features, debugging distributed systems, generating test suites and documentation, and prototyping integrations, all augmented by AI tools. The engineer will own the AI-augmented software development lifecycle and champion AI-first practices within the team. | — | 5 |
| Catalog Specialist II - DE, WWRR Science Annotation Team The Catalog Specialist II role at Amazon supports the development of Machine Learning (ML) models and data science classification algorithms by performing data annotation and collaborating with science and technology teams. The role focuses on ensuring high-quality annotated data to optimize model performance and improve efficiency and accuracy of annotation processes. | Data | 5 |
| Senior Solutions Architect, CEE Solutions Architect role focused on helping customers leverage AWS services, including AI and GenAI, to build applications and services. The role involves technical engagement, understanding customer architectures, and ensuring successful implementation. | — | 5 |
| Principal Account Exec, AWS Enterprise Games, Games This role is for a Principal Account Executive at AWS, focusing on the enterprise games business. The primary responsibility is to manage and grow a key customer relationship, identifying and accelerating growth areas including AI/ML, data transformation, developer enablement, and infrastructure optimization. The role requires strategic thinking, collaboration across teams, and acting as a trusted advisor to the customer. | — | 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 |
| Senior Product Manager, Amazon Transportation Services Senior Product Manager to build, launch, and scale Generative AI (GenAI) and data science products for Amazon's middle mile transportation network, focusing on planning and execution. The role involves defining product vision, aligning business outcomes with scientific research, and making strategic decisions on complex transportation problems. | Ship | 5 |
| Specialty Acct Exec III 67 - AMZ9082471 Sales role focused on driving adoption and revenue growth for AWS's Generative AI, ML, and Cloud services by engaging with C-suite leaders to identify and implement AI/ML use cases. | — | 5 |
| Sr. Mgr, Product Mgmt Tech, Fire TV Experience Senior Manager, Product Management for Live, Ambient and Identity experiences on Fire TV. Leads product vision, strategy, and execution, partnering with engineering, applied science, and ML teams to integrate generative AI and computer vision into customer experiences. Manages a team of Product Managers and influences strategic direction for Fire TV devices and OEM partners. | Ship | 5 |
| Software Development Engineer II, Alexa AI Developer Tech Software Development Engineer II role focused on building AI-native experiences for Alexa+ using generative AI and LLMs, enabling third-party partners to create engaging customer experiences. The role involves designing, architecting, and implementing software that runs on millions of devices, with a focus on high quality, long-term architecture, and engineering best practices. | Ship | 5 |
| Senior Customer Solutions Manager - ISV This role is a Senior Customer Solutions Manager for AWS, focusing on guiding customers through their cloud adoption journey, including defining their generative AI roadmaps and use cases. The role involves collaborating with various AWS teams and customer leadership to ensure successful cloud transformations and adoption of AWS services. | — | 5 |
| Catalog Specialist, RCX This role supports the development of ML models and classification algorithms by performing data annotation and labeling. The Catalog Specialist will work closely with product, technology, and science teams to ensure high-quality annotated data for model training and evaluation, aiming to improve customer experiences within Amazon's returns and sustainability group. | Data | 5 |
| Software Development Engineer, Playback Team Software Development Engineer on the Playback team at Audible, focusing on designing, architecting, and implementing machine learning solutions for audio storytelling applications. The role involves developing software components, collaborating with stakeholders, and optimizing playback quality and customer experience. | Ship | 5 |
| Sr GTM SSA Analytics, EMEA GTM Data and AI Specialists Solutions Architecture This role is a Go-To-Market (GTM) Specialist Solutions Architect within the AWS Worldwide Specialist Organization (WWSO) AI/ML/GenAI team. The primary focus is on helping customers develop data-driven initiatives and solve complex data challenges using AWS services. The role involves representing customer needs to product teams, providing technical expertise to GTM teams, owning the technical bar for artifacts, collaborating on GTM strategy, acting as a thought leader, guiding internal SMEs, and creating enablement materials for other Solutions Architects. While the role is within an AI/ML/GenAI team and involves working with data and AI technologies, the core responsibilities are focused on go-to-market strategy, customer engagement, and technical enablement rather than directly building or shipping AI models or agents. | — | 5 |
| Senior Product Manager - Tech, Amazon Selection Catalog Systems, Amazon Selection Catalog Systems Product Manager Technical (PMT) to own solutions for product catalog challenges using Generative AI, LLMs, and machine learning. The role influences technical direction and partners with leadership to shape catalog management at Amazon, impacting product discovery and agentic commerce experiences. | — | 5 |
| Director, Selling Partner User Experience Director of Selling Partner User Experience at Amazon, leading strategic vision and design standards for seller-facing tools. The role focuses on creating a world-class multi-channel selling experience, scaling the next-generation selling experience, and driving AI/ML integration for personalized and dynamic experiences. Key responsibilities include owning UX for core seller workflows and influencing across the organization. | — | 5 |
| Software Develpment Engineer II, Physical Stores Payments Software Development Engineer II role at Amazon Physical Stores Payment team, focusing on building innovative payment solutions for retail formats like Just Walk Out technology. 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. Responsibilities include designing cloud-native services, implementing payment integrations, developing risk and fraud prevention features, and contributing to system architecture. | Agent | 5 |
| Desenvolvedora de Software (Vaga afirmativa prioritária para mulheres), IES LATECH & GIS Software Development Engineer role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to solve real-world problems and automate launch strategies. The role involves working in a distributed environment impacting e-commerce revenue across numerous countries. | Ship | 5 |
| Sr. Bus Dev AI Infrastructure - Europe North, WWSO EMEA AI Infrastructure Business Development and Solutions Architecture This role is a Business Development Manager for AI Infrastructure within AWS, focusing on the Nordics and Northern Europe. The primary responsibility is to develop and execute the go-to-market strategy for AI training and inference workloads on AWS. This involves driving revenue growth, building customer relationships with AI companies (model producers, enterprises), and collaborating with partners. The role requires a strong understanding of the AI/ML landscape, including foundation models, training, inference, and GPU-accelerated computing, and experience in sales or business development within the cloud or software industry. | — | 5 |
| Learning Performance Coordinator / Data visualization engineer, Transportation Learning Team This role focuses on developing and maintaining dashboards and data visualization solutions to support a learning team, leveraging AI/ML tools to drive efficiency and impact. The primary output is actionable insights from complex data for operational and strategic decision-making. | — | 5 |
| Principal AI Specialist Sales This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves building pipelines, guiding customers through AI adoption journeys, identifying AI use cases, and advising on AWS AI services, including model selection, fine-tuning, deployment, and responsible AI practices. While the role engages with AI technologies like foundation models, LLMs, and agentic AI, its core function is sales and customer advisory, not direct AI/ML model development or research. | — | 5 |
| Principal AI Specialist Sales This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves identifying AI use cases, building pipelines, guiding customers through AI adoption journeys, and acting as a trusted advisor on AWS AI services. Responsibilities include leading technical discovery sessions, contributing to solution design (including model selection, fine-tuning, and deployment), and providing guidance on model evaluation and responsible AI practices. The role also involves customer engagement, market development, and sharing customer insights with AWS AI product teams. | — | 5 |
| Principal AI Specialist Sales This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves building pipelines, guiding customers through AI adoption journeys, identifying AI use cases, and advising on AWS AI services, including model selection, fine-tuning, deployment, and responsible AI practices. While the role engages with AI technologies like foundation models, LLMs, and agentic AI, its core function is sales and customer advisory, not direct AI/ML model development or research. | — | 5 |
| Senior AI Sales Specialist Senior AI Sales Specialist role at AWS, focusing on driving revenue and customer adoption of AI technologies by understanding customer needs, translating AI capabilities into business value, and guiding them through AI adoption journeys. Responsibilities include sales target achievement, account planning, technical advisory on AWS AI services, leading discovery sessions, and customer engagement. | — | 5 |
| Software Developer, IES LATECH & GIS Software Developer role focused on automating international expansion for Amazon by building customer-facing features, leveraging ML models for solutions, and working in a distributed environment. | Ship | 5 |
| Principal Customer Success Specialist - GenAI, AWS Specialist and Partner Organization This role focuses on defining and leading enterprise adoption strategies for AWS generative AI services, driving customer business value realization. It involves architecting complex solutions, scaling frameworks, and enabling AWS teams and partners to unlock transformational value. The role requires strong technical expertise in GenAI, strategic vision, and operational excellence to create industry-leading mechanisms for customer success. | — | 5 |
| Sr. Technical Program Manager, Intelligent Talent Acquisition This role is for a Senior Technical Program Manager within Amazon's Intelligent Talent Acquisition (ITA) team. The primary focus is on reinventing the hiring process by leveraging AI systems and machine learning algorithms to improve scale, sophistication, and accuracy. The role involves defining and implementing data and web-based solutions, partnering with engineering teams, quantifying problems, estimating effort, and rolling out new systems. It also includes collaborating with research and data scientists to implement algorithms and supporting teams for operational excellence. The team uses data and predictive analytics to identify process efficiencies and measure program performance. | — | 5 |
| AI Tutor, Rufus, Amazon Rufus This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers. | Data | 5 |
| Ontologist, Product Knowledge This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestibility, research product understanding, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience through a robust knowledge graph. | Data | 5 |
| Physical Design Engineer, Annapurna Labs The role focuses on the physical design and optimization of hardware, specifically custom SoCs (System on Chip) that are central to AWS Machine Learning servers, including AWS Inferentia and Trainium Systems. The engineer will be involved in the entire physical design flow from synthesis to sign-off, developing methodologies, and evaluating third-party IP. While the hardware supports AI/ML workloads, the core craft of the role is in ASIC physical design engineering, not in building or researching AI models themselves. | — | 5 |
| Senior Program Manager III, Selling Partner Trust and Store Integrity (TSI) Senior Program Manager for Amazon's Selling Partner Trust and Store Integrity team, focusing on global compliance innovation, fraud and abuse detection in tax compliance, and creating adaptive governance frameworks. The role involves leading the development of core capabilities, partnering with operations and tech, and coordinating regional leaders to solve challenges at the intersection of policy, technology, and seller experience. | — | 5 |
| Senior Engagement Manager, Prototyping and AI Customer Engineering (PACE) This role is for a Senior Engagement Manager focused on Prototyping and AI Customer Engineering (PACE) within AWS. The primary responsibility is to help customers innovate using emerging cloud technologies, particularly Generative AI services, by collaborating with account teams, partners, and customers to identify opportunities, craft a vision, and oversee the delivery of prototypes. The role involves understanding customer business priorities, articulating value propositions, and driving strategic outcomes through cloud-based solutions. While the role interacts with AI services and prototypes, the core function is customer engagement, program management, and driving adoption of AWS services, rather than direct AI/ML model development or research. | — | 5 |
| Senior AI Specialist Sales Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across AWS Global Sales in Korea. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale. | — | 5 |
| Senior Business Analyst, Relay Trust This role is for a Senior Business Analyst in Amazon's Middle Mile Transportation Technology (MMPT) organization, focusing on fraud prevention solutions. The role involves using machine learning algorithms, but the primary focus is on business analysis, data visualization, automation, and building BI solutions. The candidate will work with large datasets, develop automated data pipelines, and create self-serve analytics dashboards. While proficiency in Python/SQL is mentioned, the core of the role is business analysis and driving decision-making through data, not direct ML model development. | — | 5 |
| Sr. Analytics & AI Specialist Solutions Architect, AGS US Specialist SA, FSI This role is for a Sr. Analytics & AI Specialist Solutions Architect within AWS Global Sales, focusing on the Financial Services industry. The primary responsibility is to provide deep technical expertise and architectural guidance to customers on leveraging AWS analytics and AI services to solve complex business problems. The role involves collaborating with sales, marketing, and product teams, acting as a trusted advisor to business leaders, and thought leadership through content creation and public speaking. | — | 5 |
| Senior Software Development Engineer, Prime Video Intelligence Senior Software Development Engineer to build AI-powered analytics tooling for Prime Video teams to pinpoint playback issues, debug at scale, and drive smarter business decisions. The role involves working with large-scale real-time data, ML, AI, NLP, and distributed systems to build scalable services. The team focuses on generating actionable metrics, datasets, insights, and intelligence through ML models and tooling, supporting various customers like playback engineers and partner teams working on algorithms. The goal is to automate data exploration and identify key areas for improving customer experience. | Agent | 5 |
| Sr. Product Marketing Manager, B2B, Alexa Enterprise This role is for a Senior B2B Product Marketing Manager focused on enterprise AI and Alexa, responsible for developing and executing go-to-market strategies, product positioning, messaging, content creation, and sales enablement. The role involves collaborating with various teams and understanding target personas and industries to refine GTM strategies and product roadmaps. | — | 5 |
| AI Data Associate - French, Artificial General Intelligence This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English. | Data | 5 |
| Embedded Software Engineer, Annapurna ML Software Embedded Software Engineer role focused on developing and optimizing software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches interconnect fabric for Trainium chips. The role involves hardware/software co-design, device driver development, ML infrastructure, and ensuring high-performance data movement for AI workloads. | Serve | 5 |
| Sr Capacity Planning Manager, Verifications & Risk Management Ops This role is for a Sr. Capacity Planning Manager at Amazon, focusing on forecasting and optimizing resource utilization for Verifications & Risk Management Operations. While the role emphasizes leveraging AI and ML in planning models and driving AI/ML implementation, the core function is capacity planning and operational management, not direct AI/ML model development or deployment. | — | 5 |
| Program Manager, Ultra Fast Delivery, Launch and Expansion Program Manager for Amazon's Ultra Fast Delivery (Quick Commerce) network expansion in Japan. This role focuses on the end-to-end execution of new site launches, managing facility preparation, talent acquisition, system configuration, and operational readiness. The position involves standardizing processes in a new business domain, making data-driven decisions, and collaborating with various stakeholders to ensure successful and scalable operations. | — | 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 |
| 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 |
| 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 |