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 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1550 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 (996 roles), Canada (60 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 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Robotics - Software Development Engineer Software Development Engineer role focused on robotics within Amazon's fulfillment centers. The role involves designing, building, and operating innovative products and services, with an emphasis on scalable cloud-native architectures and microservices. A key responsibility is to leverage and contribute to GenAI and AI-powered tools to improve development productivity, and to develop software components that interact with robotics, computer vision, and other fulfillment center technologies. | Ship | 5 |
| Senior Product Manager - AI, Amazon Global Selling - PMO Senior Product Manager for AI products within Amazon Global Selling, focusing on leveraging GenAI and ML to drive seller growth and internal team efficiency. Requires understanding customer needs, defining product strategy, collaborating with engineering and data science, managing product lifecycles, and ensuring responsible AI practices. The role involves translating AI/ML capabilities into user-friendly experiences and defining success metrics. |
| Ship |
| 5 |
| Architecte de Solutions Senior, Secteur Public du Québec / Senior Solutions Architect, Quebec Public Sector Senior Solutions Architect for Quebec Public Sector, focusing on helping organizations leverage cloud and AI (specifically Generative AI) to transform citizen services. The role involves end-to-end technical engagements, guiding clients from concept to production, authoring whitepapers, and presenting technical solutions. Emphasis on building trust, accelerating AWS adoption, and understanding public sector compliance requirements. | Ship | 5 |
| Customer Solutions Manager, US State & Local Government and Higher Education This role focuses on helping government and educational institutions adopt cloud technology and AI to achieve their missions. The Customer Solutions Manager (CSM) acts as a trusted advisor, guiding customers through their cloud adoption and AI transformation journey, and ensuring they realize business value from AWS services. The role involves working with customers to design their cloud journey, execute migrations, and accelerate value through opportunities in areas like data, analytics, and generative AI. The CSM also plays a role in enabling customers, assessing their AI readiness, and advocating for their needs within AWS. | — | 5 |
| 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 |
| Senior Product Manager - Tech, Selection Monitoring The Senior Product Manager - Tech, Selection Monitoring role at Amazon focuses on enhancing customer experience by enabling agentic shopping experiences, growing product selection, and enriching product information. The role involves leading product strategy, defining roadmaps, managing trade-offs, and working with engineering teams to deliver products. While the team uses Generative AI and ML algorithms, the core of this PM role is product delivery and strategy, not direct AI/ML model building. | — | 5 |
| Senior Technical Program Manager, Core Search, Amazon Core Search Senior Technical Program Manager for Amazon's Core Search team, focusing on the Search Autocomplete experience. This role involves leading planning processes, improving experimentation velocity, and influencing strategy for search relevance initiatives. The candidate will work with scientists and engineers to drive high-visibility projects and maintain collaborations across various teams. | — | 5 |
| Account Manager, Focus Next, Focus Next, AWS India Account Manager for AWS India focusing on driving digital transformation and Generative AI adoption within enterprise clients. Responsibilities include building sales strategies, engaging with C-level executives, and driving adoption of AWS services and SaaS platforms. This role is customer-facing and sales-oriented, requiring business acumen and technical understanding of cloud computing. | — | 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 |
| Technical Account Manager, APJC Enterprise Support This role supports enterprise customers in adopting and maximizing the value of AWS services, with a specific focus on Generative AI and AI/ML solutions. The Technical Account Manager (TAM) acts as a primary technical advisor, guiding customers on architecture, operational readiness, and best practices for AI workloads in production. The role also involves leveraging AI-powered tools for support and advocating for customer requirements within AWS. | — | 5 |
| Sr. Customer Solutions Manager, Aerospace and Satellite This role focuses on advising aerospace and satellite organizations on adopting cloud technology and AI/ML solutions. The Senior Customer Solutions Manager (CSM) acts as a trusted advisor to senior stakeholders, shaping strategies for customer transformation and driving outcomes through modern cloud solutions. Key responsibilities include leading complex customer engagements, driving strategic execution of initiatives like constellation deployments and launch campaigns, accelerating value through modernization and generative/agentic AI, and enabling responsible AI adoption. The role involves navigating ambiguity, advocating for customers within AWS, and building scalable mechanisms. The CSM will guide companies through the AI revolution, from data readiness to deploying agentic systems for satellite operations. | Agent | 5 |
| Principal PMT, Seller Reviews This role is for a Principal Product Manager, Technical, at Amazon, focused on defining and executing the long-term vision for Amazon's seller reviews experience. The role involves reinventing how seller reputation signals are surfaced across the shopping journey, integrating AI-driven insights and personalized trust signals. The PM will partner with science, engineering, and UX teams, own the technical architecture strategy, and drive innovation in AI-powered review experiences like generative AI summaries and intelligent surfacing of seller performance information. The goal is to enhance customer trust and convenience in an AI-first future. | Ship | 5 |
| Sr. Product Manager - Tech, Amazon Customer Service The role focuses on defining strategies and requirements for a customer-facing chatbot, leveraging LLM-based solutions to automate customer service experiences. The Product Manager will lead a cross-functional team to build and launch these innovative chat solutions globally. | Agent | 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 |
| Senior Partner Development Manager, Amazon Stores Agency Program This role is a Senior Partner Development Manager within Amazon Stores Agency Program, focusing on business development and partnership management to drive seller and brand referrals to Amazon's Seller Services. While the role involves using generative AI tools for workflow efficiency and recognizing AI opportunities, its core function is sales and business development, not AI/ML model development or deployment. | — | 5 |
| Principal TPM - Smart Delivery Technologies, Last Mile, Smart Delivery Technologies This role is for a Principal Technical Program Manager (TPM) at Amazon, focusing on Smart Delivery Technologies for last-mile delivery. The role involves managing the delivery of work streams that combine IoT, real-time data streams, and machine learning models to create innovative delivery solutions. The TPM will work with hardware and software engineering teams, manage programs across cross-functional teams, and oversee the product lifecycle from ideation to production, particularly for v1 products. While the role utilizes ML models, it is not directly building or researching them, hence it's classified as Product function type with a secondary stage of L6 (Shipped Product) as the primary focus is on the product delivery. | — | 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 |
| Principal Product Manager Tech, Amazon Talent Solutions The Principal Product Manager - Tech will define the product experience for Talent Evaluation at Amazon, leading the transformation of disconnected talent tools into a unified, AI-native talent management platform. This role involves defining the multi-year product vision and roadmap, owning the customer experience strategy, designing flexible solutions, and leading product strategy for AI-native capabilities like AI-driven talent insights, generative AI for evaluations, and intelligent workflow automation. The role requires coordinating across multiple engineering and product teams, influencing senior leadership, and building cross-organizational partnerships to deliver a cohesive platform. | Agent | 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 |
| QC Controllership PM This role focuses on leading and elevating enterprise-wide Quality Control and Controllership initiatives within Finance Operations, specifically for Accounts Payable (AP) and Accounts Receivable (AR). The position involves defining and executing quality and controllership visions, designing automation frameworks, establishing governance, and leveraging AI-powered anomaly detection. The goal is to drive defect prevention, operational excellence, compliance, and risk management at scale. | — | 5 |
| Account Manager Account Manager role focused on growing complex brands on Amazon by owning strategic relationships with vendors, developing business plans, and leveraging data analytics and generative AI tools to identify growth opportunities. The role involves cross-functional leadership and driving performance across selection, operations, marketing, and commercial aspects. | — | 5 |
| Account Manager This role is for an Account Manager at Amazon, focusing on growing complex vendor accounts across multiple EU marketplaces. The role involves strategic planning, operational excellence, marketing, and product lifecycle management. While the role leverages generative AI tools for insights and decision-making, it does not involve building or shipping AI models. | — | 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 |
| Associate Account Executive , Enterprise Greenfield This role is an Associate Account Executive at Amazon Web Services (AWS) focused on acquiring new enterprise customers. The role involves identifying growth opportunities, engaging unengaged accounts, and driving pipeline growth using AI-powered sales tools and data-driven insights. It's positioned as an entry-level sales position with a clear career path into full-cycle sales roles within AWS. | — | 5 |
| Associate Account Executive , Enterprise TMEGS This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying whitespace opportunities, developing strategies to reach unengaged accounts at scale, and driving net-new business. It emphasizes the use of cutting-edge AI tools, data-driven insights, and AI-powered sales technology to identify high-propensity accounts and optimize pipeline development. The role is positioned as an entry point into AWS's North American sales organization, with a clear career path towards full-cycle sellers. | — | 5 |
| Associate Account Executive , Enterprise This role is an Associate Account Executive at Amazon Web Services (AWS) focused on enterprise clients. The primary responsibility is to drive pipeline growth and acquire new customers by identifying opportunities, engaging with potential clients, and leveraging AI-powered sales tools and data-driven insights. The role emphasizes using generative AI, agentic workflows, and advanced personalization engines to optimize outreach and pipeline development. It serves as an entry point into AWS's North American sales organization with a clear career path towards full-cycle sales roles. | — | 5 |
| Associate Account Executive , SMB Engaged This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on SMB customers. The primary responsibility is to accelerate pipeline growth by identifying and engaging unengaged accounts and contacts. The role utilizes AI-powered sales tools and data-driven insights to develop strategies, generate leads, and drive new business. It serves as an entry point into AWS's North American sales organization with a clear career path towards full-cycle sales roles. | — | 5 |
| Associate Account Executive , SMB Engaged This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on acquiring new customers in the SMB sector. The role involves identifying growth opportunities, engaging unengaged accounts, and driving pipeline growth using AI-powered sales tools and data-driven insights. It's positioned as an entry-level sales position with a clear career path into full-cycle sales roles within AWS. | — | 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 |
| Sr Database Specialist Sales, FSI This role is a Sr. Database Specialist Sales position within AWS, focusing on Financial Services (FSI). The core responsibility is to drive adoption and revenue growth for AWS database services, with a specific emphasis on their integration with Generative AI technologies. The role involves identifying customer opportunities, understanding their data management needs, and aligning them with AWS database solutions. It requires full-cycle sales engagement, working with senior customer executives to build strategies and leverage AWS database capabilities. The position also involves collaborating with internal teams (Solutions Architects, GTM, Partners) and staying current with database technology trends, especially in relation to Generative AI. | — | 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 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 |