Amazon currently has 1500 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 618 new AI-related roles.
Amazon currently has 1520 active AI-related job listings. The majority of these roles, 41%, are focused on agents, with application-related positions making up another 26%. Engineering is the dominant function, accounting for 1207 of the listings. The company has seen a 20% decrease in new AI roles over the last 30 days, with 636 new positions posted compared to 798 in the preceding 30-day period.
Currently tracking 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
| Title | Stage | AI score |
|---|---|---|
| Sr. Solutions Architect, Semiconductor and Quantum Fab This role is for a Senior Solutions Architect at AWS, focusing on Semiconductor and Quantum Fab customers. The primary responsibility is to partner with customers to design and build scalable cloud architectures, leveraging technical depth in areas like AI/ML and Data Analytics to accelerate customer business outcomes. The role involves understanding customer challenges, recommending best practices, and influencing the evolution of AWS products and services. | — | 5 |
| Software Development Engineer, AWS OpenSearch Software Development Engineer on the Amazon OpenSearch Service team, focusing on building and scaling distributed systems for search and observability. The role involves designing, developing, and deploying reliable services, working with languages like Rust, Java, and Python, and tackling challenges in cluster management, data ingestion, and query optimization. The team is described as AI-led and working on greenfield opportunities. | — | 5 |
| Solutions Architect - 2026 (CAN) Solutions Architect role focused on helping customers adopt and utilize AWS services, including AI/ML technologies, by designing scalable cloud architectures and translating customer needs into technical requirements. This is an entry-level, accelerated career development program. | — | 5 |
| Operations Manager for AI & Core Service, GSO (Global Sales Operation) Operations Manager for AI & Core Service, GSO (Global Sales Operation) at AWS Korea. This role partners with sales leadership to ensure operational excellence, drive pipeline growth, and enable leaders to focus on customer engagement and revenue generation within the AI/ML, GenAI, and other specialized domains. The position involves strategic definition of sales support systems and processes, including the adoption of AI and Cloud market opportunities, and the identification and adoption of AI-powered productivity tools and automation. | — | 5 |
| Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence This role focuses on designing and implementing AI-powered solutions for contact centers, specifically using Amazon Connect and Lex. The consultant will work with customers to integrate conversational AI, including generative AI, into their contact center operations to improve self-service and agent assistance. While not building core AI models, the role involves significant application and integration of AI technologies in a customer-facing product. | Agent | 5 |
| Software Development Manager, Amazon Prime Software Development Manager for Amazon Prime, focusing on building and maintaining large-scale membership systems. The role involves defining product architecture, integrating ML/LLMs for customer experiences, and leading engineering teams. It requires strong collaboration with product owners and senior leadership, and a focus on delivering scalable, reliable systems. | — | 5 |
| Software Development Engineer, Alexa Connected Devices Software Development Engineer role focused on building and operating Tier-1 cloud services for Alexa+, a next-generation AI-powered personal assistant. The role involves designing scalable services, leveraging generative AI in development workflows, and collaborating with cross-functional teams to deliver customer-facing features. While the role uses AI extensively, it focuses on the engineering and operational aspects of AI-powered products rather than core AI research or model development. | Ship | 5 |
| Senior Security Intelligence Engineer, Amazon Customer Ecosystems (ACES) Intelligence This role focuses on developing and utilizing generative AI and agentic workflows for cyber threat intelligence analysis within Amazon's customer ecosystems. The engineer will analyze large datasets to discover threats, create automation for security tasks, and contribute to the understanding of the threat landscape. The role involves deep-dive analysis of malicious artifacts and drafting threat intelligence products. | Agent | 5 |
| Senior Product Manager - Tech, Sponsored Products and Brands Senior Product Manager role focused on defining and launching generative AI-powered conversational ad experiences for Amazon Ads, aiming to revolutionize customer discovery and brand engagement. | Ship | 5 |
| Amazon Core Search Organization - Language Engineer, Core Search The Language Engineer role within Amazon's MIDAS team focuses on creating and managing data annotation guidelines and workflows to ensure the quality of labeled data used for training and evaluating AI models in the Search organization. This involves applying linguistic and scripting expertise to NLP and language understanding challenges, managing large datasets, and collaborating with scientists and engineers. | Data | 5 |
| 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 Data Engineer , Amazon Customer Service Senior Data Engineer role focused on designing and implementing enterprise-scale data pipelines and infrastructure to support AI/ML capabilities within Amazon Customer Service. The role involves architecting data platforms, ensuring data security and compliance, and collaborating with cross-functional teams to build data products that power business capabilities and advanced AI/ML features. Experience with AWS data services and LLM data infrastructure is preferred. | Data | 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 |
| Ontologist III, Product Knowledge Ontology Develops and maintains product knowledge ontologies and taxonomies, leveraging generative AI and data retrieval techniques to improve product discovery on Amazon's platforms. Collaborates with data science and engineering teams to build knowledge-based solutions and optimize the knowledge graph. | Data | 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 |
| Specialist Solution Architect, Developer Transformation Solution Architect focused on helping developers adopt cloud-native applications and AI-driven tools on AWS. This role involves engaging with developer communities, creating technical content, and providing feedback to product teams. While AI tools are mentioned, the core function is developer enablement and cloud adoption, not direct AI/ML model development. | — | 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 |