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 |
|---|---|---|
| Senior Economist, Decision Science - Devices Senior Economist role focused on developing and applying econometric/machine learning models for demand estimation and pricing recommendations for Amazon's consumer devices. The role involves scaling statistical methods, working with cross-functional teams, and influencing business decisions from product inception to launch. | Data | 5 |
| Principal Security TPM, AGS Security Engineering This role is for a Principal Technical Program Manager within AWS Global Sales (AGS) to establish and own security and governance frameworks for the AGS field organization. The role focuses on managing risk, ensuring compliance with AWS security standards, and enabling the field to build and innovate securely, especially in the context of generative AI and agentic architectures. It involves building programs for security reviewers, conducting training, measuring performance against standards, and defining the security roadmap for the field. | — |
| 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 |
| 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 |
| Catalog Specialist, WWRR Science Annotation Team This role supports ML model development by performing data annotation, training, and evaluation. The specialist will collaborate with product, technology, and science teams to ensure high-quality annotated data for classification algorithms, aiming to optimize model performance and improve annotation processes. | Data | 5 |
| Software Development Engineer, Amazon , Private Brands - Discovery Software Development Engineer role at Amazon Private Brands focused on building new systems to help customers discover products. The role involves designing, implementing, and maintaining scalable distributed services and GenAI solutions, with an emphasis on customer experience and leveraging AWS and GenAI tools. | — | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect role focused on helping enterprise customers adopt AWS cloud services, with a specific emphasis on Generative AI and Agentic AI architectures. The role involves understanding customer needs, recommending cloud solutions, and influencing AWS product roadmaps. | — | 5 |
| Enterprise Support Manager, CMHK Enterprise Support This role is for an Enterprise Support Manager at AWS in China, leading a team of Technical Account Managers (TAMs) serving enterprise customers. The focus is on driving a new operating model that integrates AI-powered workflows and data-driven decision-making to enhance customer support and outcomes. The manager will coach their team on leveraging AI tools for analysis, triage, and engagement, while also owning executive customer relationships and partnering with sales. The role emphasizes building team capability and scalability, rather than personal delivery, and contributing unique expertise to the broader organization. | — | 5 |
| Software Development Engineer, AWS Incident Tooling & Response Software Development Engineer role focused on building the next generation of incident management tooling for AWS, utilizing agentic AI development practices to create a unified, highly available, and performant platform for coordinating response during critical incidents. The role involves owning significant portions of the service architecture, including the data layer, authorization system, and API model, and integrating with automation systems. | Agent | 5 |
| Software Development Engineer, Creator Marketplace Software Development Engineer role focused on building and maintaining a platform for audio content creation and distribution, with a requirement for experience in Machine Learning and Large Language Model fundamentals. | Ship | 5 |
| Healthcare & Life Sciences Solutions Architect, HCLS This role focuses on designing and implementing cloud solutions for Healthcare & Life Sciences customers using AWS services. It involves building prototypes, exploring AI/ML use cases, and supporting customer adoption of cloud technologies, with a specific emphasis on Generative AI and data analytics within the healthcare domain. | Ship | 5 |
| SDE in Test II, eero Software Development Engineer in Test (SDET) II for eero, an Amazon company, focusing on mesh WiFi networking products. The role involves owning test strategy and automation across the full product stack (embedded firmware, cloud services, web applications, REST APIs), collaborating with engineers to ship reliable products. Responsibilities include designing/maintaining automated test frameworks, building integration and regression tests, identifying test coverage gaps, investigating defects, and leveraging generative AI tools to enhance quality engineering workflows. The role also involves defining and analyzing test metrics, reviewing designs for testability, and automating development/testing/deployment processes. | — | 5 |
| AI Hardware Systems Manager, Annapurna Labs, Trainium Machine Learning Fleet Operations This role manages a team of engineers responsible for the operations of ML hardware fleet, focusing on automation, tooling, and operational excellence for advanced server hardware. The role involves building and growing the team, defining roadmaps, and ensuring the health and optimization of ML infrastructure at scale. | — | 5 |
| Head of Solutions Architecture, Amazon External Payments Head of Solutions Architecture for Amazon External Payments, leading a global team to define the technical engagement model, accelerate partner integration, and scale the payments infrastructure. The role involves strategic architecture, partner collaboration, and team leadership at the intersection of payments and generative AI. | — | 5 |
| Sr. Technical Account Manager, ES - WWPS This role is for a Senior Technical Account Manager (TAM) within AWS Enterprise Support, focusing on helping customers design, build, and operate their cloud environments. The TAM acts as a principal technical advisor and the 'voice of the customer' to enterprise clients, driving discussions on strategy, incidents, trade-offs, support, and risk management. While the role involves understanding and guiding customers on the use of various AWS services, including Generative AI, it is not a hands-on keyboard troubleshooting role but rather a strategic advisory and advocacy position. | — | 5 |
| Data Engineering Manager for Accounts Payables Technology, FinAuto Seeking an experienced Data Engineering Manager to lead a team responsible for the infrastructure and reliability of data pipelines for Accounts Payable systems. The role involves owning the end-to-end data architecture, driving operational excellence, and defining a 3-year strategic vision. A key focus is championing the adoption of AI/ML and generative AI to automate pipeline building, monitoring, and enhance data insights. The manager will also lead and develop a team of data engineers, foster best practices, and collaborate with stakeholders. | Data | 5 |
| Senior Solution Architect, New Zealand Enterprise This role is for a Senior Solutions Architect at AWS in New Zealand, focusing on helping enterprise customers adopt and leverage Agentic AI and Generative AI technologies. The role involves advising customers on cloud and AI architectures, driving technical discussions, and acting as a thought leader to accelerate business outcomes. While the role involves understanding and recommending AI solutions, the core responsibility is architectural design and customer advisory, not direct AI model development or deployment. | — | 5 |
| Senior Data Scientist, Rapid & Rural Logistics (R2L) Science & AI Senior Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves informing the data science charter, finding opportunities using data-driven insights and machine learning models, and supporting stakeholders with high velocity analytics. Key responsibilities include diving deep into data, producing high-quality analyses with clear findings and recommendations, and balancing unknowns with delivering results. | Data | 5 |
| Process Engineer, Workforce Staffing This role focuses on process engineering within Amazon's Workforce Staffing (WFS) team, aiming to optimize hiring workflows and reduce costs. While it involves driving AI/automation solutions to improve operational processes, the core function is process engineering and operational excellence, not direct AI/ML model development or research. The role emphasizes applying existing AI/ML tools and automation to enhance efficiency in a high-volume hiring engine. | — | 5 |
| Software Development Engineer II, AWS Data Platform Software Development Engineer II on the AWS Data Platform team, responsible for building and maintaining data infrastructure, processing workflows, and tooling at massive scale. The role involves ingesting, transforming, cataloging, governing, and consuming data, with an increasing focus on leveraging generative AI and semantic layer technologies for data discoverability and natural-language access. | Data | 5 |
| Sr. Software Development Engineer, AWS Insights & Optimizations Senior Software Development Engineer for AWS Analytics and Machine Learning team, focusing on processing large volumes of customer usage data to provide intelligent cost management products. The role involves technical leadership, architectural challenges, and collaboration with Data Scientists to enable features through analytics and ML. | Data | 5 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Data Engineer II, DASH Device Operations Data Engineer II role focused on building and operating large-scale data infrastructure to support AI/ML workloads, intelligent automation, and agentic systems. The role involves designing and implementing data pipelines, ETL/ELT processes, and AI-ready data foundations, with a strong emphasis on enabling data for machine learning models and agents. The candidate will collaborate with scientists and engineers to ensure data infrastructure meets the needs of ML training, inference, and agentic automation. | DataAgent | 5 |
| Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. While it involves knowledge of AWS services including machine learning, the core function is cloud solution implementation and customer advisory, not direct AI/ML model development or deployment. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), Accelerator Servers This role focuses on the hardware engineering for accelerated servers used in AWS for AI training and inference. The engineer will be responsible for the design, development, root cause analysis, and oversight of these servers, working with internal and external customers, component vendors, and manufacturing partners. The goal is to deliver high-performance, scalable, and cost-effective server solutions for AI/ML and HPC workloads. | — | 5 |
| Business Intelligence Manager, WW Ops Finance - S&A This role leads the build-out of financial analytics systems for Amazon's Global Customer Fulfillment network, focusing on transitioning to a data lakehouse architecture with agent-first designs and embedding automation and intelligent agents into data workflows. The role involves managing a team, partnering with cross-functional teams, and integrating emerging technologies like generative AI. | AgentData | 5 |
| Business Intelligence Engineer II, AWS DC Central Operations This role focuses on building and maintaining business intelligence and analytics products for AWS data center operations, with an increasing emphasis on leveraging GenAI tools like Amazon Q and retrieval-augmented analytics to enhance self-service capabilities for users. The primary output is customer-facing analytics products and reports. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers This role focuses on designing, developing, and operating cloud hardware for AWS Generative AI and ML servers. The engineer will define server architectures, create detailed designs and specifications for high-performance AI training and inference, and manage validation strategies from component bring-up to rack integration. Responsibilities include triaging hardware issues, conducting root cause analysis, overseeing server fleets, and driving continuous improvement in collaboration with internal teams and external partners. | — | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves designing and developing end-to-end projects, working with Generative AI and distributed systems, and owning the quality of major deliverables. Requires strong software engineering skills, experience with AWS, and developing services using Generative AI. | Ship | 5 |
| Software Development Engineer, DOTS Engineering - NEST Software Development Engineer role focused on building AI solutions for devices and operations, transforming customer experiences. The role involves end-to-end project design and development, working with Generative AI, distributed systems, and data processing. Requires strong software engineering skills, experience with AWS, and a focus on delivering high-quality software in an Agile environment. | Ship | 5 |
| Manager, Aircraft Maintenance Operations, Amazon Air Manager for Aircraft Maintenance Operations at Amazon Air, focusing on transforming operations using Generative AI and emerging technologies. The role involves overseeing daily maintenance, managing real-time decisions, developing fleet health monitoring strategies, and driving the implementation of AI/ML to enhance operational strategies and predictive maintenance. The goal is to move from reactive to predictive, insight-driven operations, leveraging GenAI for data synthesis and actionable insights. | Ship | 5 |
| Senior Delivery Consultant: Data Analytics, AWS Professional Services Senior Delivery Consultant for AWS Professional Services specializing in Data Analytics and GenAI. The role involves collaborating with customers and partners to derive business value from Data Analytics and GenAI services, developing and delivering proof-of-concept projects, technical workshops, and supporting complex projects. Focus areas include batch and real-time data capture and analysis, driving data-driven decisions, and implementing solutions using various AWS data analytics and GenAI services. | Ship | 5 |
| Data Scientist, AWS Support Capacity Planning Data Scientist role at AWS focused on capacity planning, using statistical modeling, machine learning, and optimization to forecast contact volumes and drive operational improvements. The role involves building and managing modeling projects and forecasting solutions, requiring expertise in data science, forecasting, optimization, and machine learning. | Data | 5 |
| Principal Planning Integration, Fleet Demand, EU Fleet Supply Chain This role focuses on re-engineering an automated forecasting model (Fleet Requirement Planning - FRP) for Amazon's EU fleet supply chain. It involves integrating new van requirements, moving towards agentic AI and probability-based modeling, scaling optimization models, and evolving the user interface. The goal is to support critical business decisions related to fleet operations, including Capex/Opex, vehicle mix, and utilization, by developing a 'digital twin' for scenario analysis and investment planning. | Agent | 5 |
| Sr. GTM Specialist Solution Architect GenAI, EU North, EMEA Data and AI Solutions Architecture This role is for a Senior Go-To-Market (GTM) Specialist Solutions Architect focused on Generative AI (GenAI) within Northern Europe. The primary responsibility is to act as a trusted technical advisor to customers, helping them adopt GenAI/ML and Agentic technologies by designing and recommending scalable, resilient cloud architectures on AWS. The role involves understanding customer challenges, unblocking them to reach production faster, and influencing the AWS roadmap based on customer feedback. It also includes creating and sharing technical content like whitepapers, blogs, and workshops, and evangelizing AWS GenAI/ML and Agentic workloads. | Ship | 5 |
| SDE III - LATech, LATech Software Development Engineer III role focused on building customer-facing solutions that leverage Machine Learning models for the Brazil marketplace, ensuring regulatory compliance and driving business growth. The role involves designing feedback loops, ecosystems, and scalable solutions with a pragmatic, iterative approach, working closely with business teams to define strategy and implement innovative solutions. | Ship | 5 |
| Solutions Architect, AdTech and MarTech Solutions Architect for AWS AdTech and MarTech, focusing on driving customer adoption of AWS services, including Generative AI. The role involves educating customers, providing technical design guidance, building relationships with stakeholders, and acting as a liaison between customers and product teams. It also includes building demos and Proofs of Concept (PoCs) to showcase the potential of AWS's GenAI strategy. | — | 5 |
| Sr Learning Designer, Data Center Learning - New Hire Training This role focuses on designing and delivering AI-powered learning experiences for AWS data center employees. The Senior Learning Designer will use human-centered design principles, leverage generative and agentic AI for content creation and personalization, and utilize learning analytics to iterate and optimize training programs. The goal is to create scalable, impactful, and measurable workforce development solutions. | — | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning large-scale, highly available services for processing advertising signals and powering real-time campaign optimizations, attribution, reporting, analytics, and billing across Amazon's performance advertising businesses. The role involves handling billions of requests per day with millisecond-level latencies and strict SLAs on massive distributed datasets. | — | 5 |
| AI Security Specialist Solutions Architect, SSO Security team This role is an AI Security Specialist Solutions Architect focused on helping enterprise customers securely adopt generative AI technologies on AWS. The specialist will guide customers on AI security best practices, compliance with regulations like the EU AI Act and China GenAI regulations, and defense against AI-powered attacks. They will execute security assessments, deliver workshops, and advise on secure AI development lifecycles, including data protection, model access control, and output filtering. | Agent | 5 |
| AI Data Associate - Arabic, AGI DS The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include data annotation, quality assurance, root cause analysis of errors, and process improvement suggestions, all while maintaining strict confidentiality. The role requires strong analytical skills, attention to detail, and language fluency in Arabic and English. | Data | 5 |
| Support Engineer, Sapien Application Engineer role supporting Amazon's Retail Business Services (RBS) by leveraging automation and Machine/Deep Learning to solve business needs, improve operational efficiency, and maintain services. Responsibilities include troubleshooting, debugging, implementing solutions, creating automation scripts, monitoring, and on-call support. | — | 5 |
| Senior Solutions Architect, Retail, Restaurant, Consumer Packaging - Greenfield This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Restaurant, and Consumer Packaging sectors. The primary responsibility is to engage with customers to understand their business needs and design secure, reliable, and cost-effective cloud-native architectures using AWS services. The role involves partnering with sales teams to drive revenue growth and accelerate AWS adoption. While the role requires broad technical competence across various areas including AI/ML and Generative AI, its core function is in cloud architecture and customer engagement, not direct AI/ML model development or deployment. | — | 5 |
| Senior Solutions Developer, Prototyping and Customer Engineering (PACE) Senior Solutions Developer role focused on building prototypes and customer engineering solutions, primarily exploring Generative AI, agentic design, and other emerging technologies within an enterprise context. The role involves partnering with customers to understand use cases, design, and implement solutions within a short timeframe, requiring a strong technical background, ability to learn new technologies, and hands-on development skills. | Agent | 5 |
| Sr. Software Dev Engineer, Web Experiences Senior Software Development Engineer role focused on designing and operating scalable systems for compiling and testing Chromium-based software at Amazon. The role will drive AI-led innovation to improve developer productivity and software quality, shifting testing left towards automated CI/CD. It involves collaborating with various teams to solve complex distributed systems and developer experience challenges. | Ship | 5 |
| Senior Technical Program Manager, EC2 Gov This role is for a Senior Technical Program Manager at Amazon EC2, focusing on delivering server and GPU capacity at a massive scale to support AI workloads, particularly in government regions. The role involves defining and building new programs, managing cross-functional teams, and influencing leadership to ensure AWS infrastructure keeps pace with the demands of frontier AI. | — | 5 |
| Front-End Engineer, Amazon Quick, Amazon Quick Front-End Engineer III for Amazon Quick, a generative AI-powered assistant. This role involves designing and delivering complex, scalable front-end capabilities for web and mobile platforms, focusing on next-generation AI-powered user experiences. Responsibilities include owning front-end architecture, UI frameworks, component libraries, design systems, leading feature delivery, championing agile and DevOps practices, collaborating with UX, product, and science teams, writing clean code, and mentoring engineers. | — | 5 |
| Software Development Engineer II, TFS Software Development Engineer II role focused on building an invoicing ingestion product for Amazon's transportation business. This involves creating algorithms and leveraging Gen-AI constructs to accurately reflect transportation economics and ensure timely, accurate payouts to carriers worldwide. The role requires designing and implementing scalable systems for invoice ingestion, validation, verification, and auditing, with a focus on high impact and growth opportunities. | Ship | 5 |
| SDE-II, Supply Chain Software Development Engineer II role focused on building AI-powered systems for Amazon's Supply Chain Optimization Technologies (SCOT). The role involves developing agentic AI systems for network automation using LLMs and designing graph algorithms for route optimization at scale, aiming to make logistics faster, cheaper, and more sustainable. | Agent | 5 |
| Senior Data Engineer, Shopping Foundation Senior Data Engineer responsible for building data foundations and observability frameworks for AI-powered shopping experiences, focusing on large-scale data systems and LLM data applications. | DataAgent | 5 |
