Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 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 (8). 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 (1022 roles), Canada (59 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 683 new AI-related roles.
| 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 |
| Data |
| 5 |
| Director IAM, Amazon Foundational Security Services Director of Software Development for Amazon Foundational Security Services (AFSS) focusing on identity and access management. The role involves transforming access controls, operating Tier-1 services, and establishing a new vision for business agility and security. Key responsibilities include leveraging generative AI for development acceleration, service operations transformation, and shipping AI authorization features to support agentic AI. | Agent | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 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 |
| AI Data Associate (NL), 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 generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and processes. | Data | 5 |
| Business Intelligence Engineer, Amazon This role involves building data pipelines, dashboards, and leveraging Generative/Agentic AI products for data self-service within Amazon Payment Products. The engineer will analyze large datasets, present insights, and manage projects from start to finish, with a focus on driving business profitability. | Agent | 5 |
| Senior Startup Investor Manager, VC, AWS, Startup Investor Management This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will build relationships with investors, create programs to support startups, and leverage technical understanding of cloud and emerging technologies like generative AI to help startups innovate and scale on AWS infrastructure. The role involves evaluating startups, advising them on cloud architecture and go-to-market strategies, and collecting market signals to inform AWS innovation. | — | 5 |
| Sr. Product Manager, Alexa Canada This role is for a Senior Product Manager at Amazon Alexa Canada, focusing on leading the expansion of Alexa+ in Canada. The responsibilities include defining user needs, creating product roadmaps, understanding market dynamics, developing business requirements, and managing the end-to-end customer experience for Alexa Canada across various devices. The role involves working closely with engineering, program management, and other cross-functional teams to deliver products, monitor customer experience, and drive strategic initiatives. A key aspect is understanding how AI, including agentic systems, is reshaping product development and leveraging AI to improve decision-making and accelerate development. | — | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Senior Solutions Architect Manager, [Solutions Architecture, Europe Central] This role is for a Senior Solutions Architect Manager at AWS, focusing on leading a team of Solutions Architects to help customers leverage AWS services and generative AI to achieve business outcomes. The role involves building and leading teams, developing strategic customer relationships, acting as a technical thought leader, and guiding the design and implementation of cloud solutions with a focus on emerging technologies like generative AI. | — | 5 |
| Senior Partner Development Specialist, Generative AI & Data, Americas Specialist Partner Team This role focuses on driving the go-to-market strategy for AWS Generative AI & Machine Learning business through partners. The specialist will enable partners to build solutions, drive revenue growth, and act as an internal AI/ML subject matter expert. The role involves developing and executing GTM plans, educating partners, and unblocking challenges. | — | 5 |
| Data Engineer II , JWO Data Services Data Engineer II role within AWS Applied AI Solutions, focusing on building and deploying reliable distributed data pipelines for Amazon Go's Just Walk Out Technology. The role involves data modeling, ETL, and working with various AWS technologies to support machine learning and vision systems. | — | 5 |
| Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware This role is for a Sr. Mechanical Engineer focused on the design and optimization of hardware, specifically custom chips and accelerators for machine learning in Amazon's data centers. While the hardware supports ML, the core craft of the role is mechanical and thermal engineering, not AI/ML model development. | — | 5 |
| Sr. Business Intelligence Engineer, Forecasting and Labs Analytics This role is for a Sr. Business Intelligence Engineer focused on Demand and Inbound Forecasting within Amazon's supply chain. The engineer will develop tools and metrics for analytics solutions, lead projects using data modeling and statistical analysis, and partner with product, science, and engineering teams. While the role mentions experience with ML and data science theory, its core function is BI and analytics for forecasting, not direct AI/ML model development or deployment. | — | 5 |
| DE Annotations Auditor (German fluent), Community Feedback Annotation Team The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity. | Data | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The Builder Solution Architect will develop code artifacts, support analyst evaluations, and collaborate with various teams to showcase AWS's capabilities to customers and internal stakeholders. The role emphasizes creating inspiring demos for product launches and events, requiring strong software development skills and the ability to quickly learn new concepts and tools. | Ship | 5 |
| Senior Program Manager, Service Offering Senior Program Manager to lead Strategic Account Services (SAS) for Amazon's Selling Partners, focusing on improving Selling Partner experience and accelerating growth through holistic account management. The role involves developing and scaling new and existing paid programs, analyzing Selling Partner feedback and market data, and collaborating with cross-functional teams globally. The candidate will leverage AI and GenAI tools to enhance decision-making and drive business outcomes. | — | 5 |
| Sr. Software Development Engineer, Payroll Tax & Accounting Tech Senior Software Development Engineer to lead the architecture and technical design of a globally deployed, locally configured gross-to-net calculation engine that leverages LLM-based rule extraction to formalize complex jurisdiction-specific tax regulations. The role involves designing deterministic tax calculation algorithms, driving technical decisions for the LLM-based rule extraction pipeline, creating accounting integration services, and implementing GenAI shadow mode validation frameworks. | Agent | 5 |
| Sr. Program Manager, Lastmile Planning, JP AMXL Network Planning This role is for a Sr. Program Manager focused on last-mile logistics planning for Amazon Extra Large (AMXL) in Japan. The role involves owning the mid-to-long-term network strategy, optimizing operations, and championing the implementation of advanced planning tools and systems. While the role mentions the use of AI and GenAI tools and opportunities to develop AI fluency, the core responsibilities are in program management, logistics, and operations, not in building or directly shipping AI/ML models or systems. | — | 5 |
| Senior Strategic Supply Chain Manager, JP Books This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development. | — | 5 |
| Finance Manager - Inventory Optimization, SCOT AIM Finance This role is a Finance Manager responsible for the financial strategy and controllership of Amazon's Automated Inventory Management systems, which utilize AI and machine learning. The role involves partnering with technical teams to evaluate technology investments, assess algorithmic outcomes, and drive financial improvements in the supply chain. While the role interacts heavily with AI systems and teams, its core function is finance and product management from a financial perspective, not direct AI/ML development. | — | 5 |
| Network Dev Manager III, OpsTech Network Engineering This role is for a Network Development Manager III at Amazon OpsTech, focusing on leading the development and delivery of automated LAN and Wireless network solutions for fulfillment and robotics operations. The role emphasizes driving innovation in network automation, AI-powered solutions, and next-generation architectures, while also managing a team of engineers. The primary focus is on the infrastructure that supports AI operations rather than building AI models directly. | — | 5 |
| Senior Training Specialist, AGI-DS Knowledge Management Team This role focuses on training delivery and management within an AI organization, specifically for the AGI-DS Knowledge Management Team. The Senior Training Specialist will facilitate blended learning, manage learning systems, track training completion, and identify areas for improvement to scale training approaches. While the role is within an AI context and uses AI tools, its core function is training and development, not direct AI/ML model development or deployment. | — | 5 |
| Data Scientist, Rapid & Rural Logistics (R2L) Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves identifying and prioritizing complex business problems, translating them into data science problems, and designing, developing, and evaluating innovative statistics and ML models. It also requires establishing scalable processes for data analysis, model development, validation, and implementation, with a goal to improve customer experience, product availability, and reduce supply chain costs. | Ship | 5 |
| Data Scientist, ADE Analytics Data Scientist on the Alexa Daily Essentials team, focusing on analyzing complex data, developing statistical methodologies, and providing product insights to shape solutions. Responsibilities include problem-solving through data analysis and modeling, building data pipelines, acquiring data via SQL/ETL, and communicating complex ideas to technical and non-technical audiences. | Data | 5 |
| Software Dev Engineer II Software Development Engineer II at Amazon, focused on building the platform for designing and managing Amazon's global transportation network. The role involves calculating capacity, predicting gaps, identifying at-risk packages, and responding to real-time disruptions. It utilizes AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving planning and execution, and contributing to talent development and operational excellence. | Agent | 5 |
| Network Development Manager III, Operations Technology Networking This role is for a Network Development Manager at Amazon, leading a team responsible for designing, planning, and delivering global network infrastructure for Amazon's fulfillment, transportation, and grocery sites. The role involves driving the integration of networking technologies, managing vendor relationships, and scaling network architectures. A key aspect is championing the integration of AI and machine learning to enhance network automation and operations, and promoting the adoption of AI-powered tools and generative AI for network operations. | — | 5 |
| Full-Stack Software Engineer, Interests AI (CoreCX) Full-Stack Software Engineer role focused on building AI-powered personalized discovery experiences for Amazon customers. The role involves designing, developing, and operating features across web and mobile surfaces, with a strong emphasis on personalization and generative AI. | Ship | 5 |
| Sr. Solution Architect, Amazon Shipping Senior Solution Architect for Amazon Shipping, focused on driving enterprise customer launches by designing and implementing complex integrations. The role involves technical expertise in pre-sales and post-sales, customer advisory, and hands-on execution, including leveraging AI tools for troubleshooting. | — | 5 |
| Software Development Engineer, Middle Mile P&O Software Development Engineer II role focused on building intent-based automation and optimization algorithms for transportation network disruptions. The role involves designing and developing scalable distributed systems, machine learning models for forecasting, scheduling, and route planning, and orchestrating optimal route corrections. It operates at a large scale within Amazon's middle-mile transportation network. | Agent | 5 |
| Brand Designer, Amazon Leo Brand Designer for Amazon Leo, a satellite network, responsible for creating visual components and campaign identity systems. The role involves working across mediums, defining the look and feel of campaigns, and leveraging generative AI tools to enhance creative workflows. | — | 5 |