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 |
|---|---|---|
| Software Dev Engineer, JP Manga Software Development Engineer role focused on building customer-facing mobile features for the JP Manga team at Amazon. The role involves designing, developing, and shipping features for discovery, reading, and personalization, with a strong emphasis on native mobile craft (iOS/Android/React Native). The position also requires using AI-powered development tools to enhance productivity and contributing to the app's architecture and operational excellence. While AI tools are used, the core responsibility is building the manga reading experience. | — | 0 |
| Sr. Program Manager, Hardlines B2B/BISS This role focuses on designing and executing B2B profitability strategy for Amazon Business Hardlines in Japan. It involves integrating cost-to-serve reduction, vendor margin improvement, and advertising revenue acceleration into a cohesive strategy. The role requires influencing category teams, expanding vendor-funded pricing programs, and aligning with worldwide stakeholders. While the job mentions the use of AI and GenAI tools to enhance decision-making and focus, the core responsibilities are in business strategy, program management, and cross-functional influence, not in building or directly deploying AI/ML models. |
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| Sr. Vendor Manager, スポーツ＆アウトドア事業部 Sr. Vendor Manager for Amazon's Sports & Outdoors division, focusing on the Cycling category. The role involves managing existing business, pioneering e-commerce sales of assembled bicycles through a new service model (online purchase, professional assembly at partner shops), and potentially expanding this model to other large-format product categories. It requires strategic planning, P&L management, vendor negotiation, and cross-functional collaboration. The company mentions the active use of AI tools in daily operations to accelerate decision-making. | — | 0 |
| Program Manager II, Storewalk plus Program Manager II, Storewalk plus role at Amazon focuses on improving the customer buying experience on Amazon retail by identifying and eliminating friction points. The role involves partnering with upstream teams, subject matter experts, and tech PoCs to develop scalable solutions and document insights and recommendations. The team's goal is to enhance customer experience for high-demand shopping missions with low conversion rates, aiming for a defect-free buying experience. | — | 0 |
| Delivery Consultant - Application Modernization, AWS Professional Services This role focuses on designing, implementing, and managing AWS solutions for customers, guiding them through their cloud adoption and application modernization journey. It involves technical leadership, stakeholder collaboration, and providing expertise on cloud technologies and best practices. | — | 0 |
| デリバリーステーション・オペレーションマネージャー Operations Manager for Amazon Logistics (AMZL) in Tokyo, Japan. Responsible for leading and supervising delivery station operations, including inbound, outbound, and sortation. Focuses on improving safety, quality, performance, and customer experience, while also driving operational improvements and implementing new services. The role involves managing a team of managers and associates, strategic planning, and talent development. The company actively incorporates AI tools and Generative AI into daily operations to accelerate decision-making and focus on critical tasks. | — | 0 |
| Sr. Migration Modernization Architect, Professional Services This role focuses on application modernization and cloud-native development on the AWS platform, with a specific mention of leveraging GenAI tooling for modernization at scale. It involves consulting, solutioning, and driving complex cloud transformations for customers. | — | 0 |
| Business Intelligence Engineer, AOP - ROW APEX This Business Intelligence Engineer role focuses on building scalable data processes, developing BI solutions, and performing data analysis to support business decision-making and operational efficiency within Amazon's Analytics Ops and Programs team. The role involves data validation, root cause analysis, and project management, with a strong emphasis on SQL, Python scripting, and data visualization tools. | — | 0 |
| Software Dev Engineer, International Localization Software Development Engineer focused on building and operating scalable, fault-tolerant distributed systems using cloud-native architectures and microservices on AWS. The role involves the full code lifecycle, CI/CD, and on-call responsibilities. A key aspect is leveraging GenAI and AI-powered tools to improve development productivity. | — | 0 |
| Finance Manager, AWS GenAI Finance Finance Manager for AWS Generative AI team, responsible for financial planning, CapEx management, and supporting strategic launches and process improvements for GenAI services. | — | 0 |
| Finance Manager, AWS GenAI Finance Finance Manager for AWS Generative AI team, responsible for financial planning, CapEx management, and supporting strategic feature launches. Requires strong financial modeling, analytical skills, and business partnership. | — | 0 |
| Learning Experience Designer, Amazon Robotics - Transformative Learning Solutions This role is for a Learning Experience Designer at Amazon Robotics, focusing on creating learning solutions for engineers and project managers. The role involves designing, developing, and evaluating learning experiences using adult learning principles and various content formats. While it mentions integrating generative AI tools, the core function is instructional design, not AI model development. | — | 0 |
| Software Development Manager (SDM), Concessions Tech Software Development Manager (SDM) for Amazon's Concessions Tech team, focused on enhancing customer service through sophisticated products and automation. The role involves leading a team to redesign a legacy system, influencing product owners, engineers, and data scientists globally to build foundational customer service experiences. Key responsibilities include leading design and delivery of large-scale software, roadmap management, fostering engineering improvement, and partnering with stakeholders. | — | 0 |
| Software Development Engineer II, AWS IAM Identity Center Software Development Engineer II for AWS IAM Identity Center, focusing on building and operating high-scale distributed systems for secure identity, access, and resource management in the AWS Cloud. The role involves end-to-end feature delivery, API design, technical leadership, and operational excellence, with a mention of leveraging machine learning and automated reasoning for access control. | — | 0 |
| ISV PDM, Technology Partner Development This role is a Partner Development Manager for AWS in China, focusing on recruiting, enabling, and co-selling with technology partners to drive their business growth and cloud transformation on AWS. It involves evangelizing AWS technology, building mind share, and growing market adoption. The role requires strong partner management, ecosystem development, and strategic thinking about business and technical challenges. | — | 0 |
| Industry PDM, Partner- HBA ISV This role focuses on managing business development with ISV technology partners, enabling them to leverage AWS cloud technology for their business growth and cloud transformation. The responsibilities include recruiting, enabling, and co-selling with partners, evangelizing AWS strategy and technology, and building mind share in the market. | — | 0 |
| ISV PDM, ISV Partner Development This role focuses on business development and partner management within Amazon Web Services (AWS) in China. The ISV PDM will recruit, enable, and co-sell with Independent Software Vendor (ISV) technology partners to help them grow their business and cloud transformation using AWS technologies. The responsibilities include managing partner relationships, evangelizing AWS technology, and developing new collaboration models to drive market adoption and joint business value. | — | 0 |
| Sr. Technical Program Manager, Partner Experience Engineering This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for content ingestion, monetization, and analytics for third-party partners. While the job mentions applying ML and Generative AI, the core responsibilities are program management, process building, and technical leadership for partner integrations and systems, not direct AI/ML model development or deployment. The primary output is a well-managed product/service for partners, which is considered a shipped product. | — | 0 |
| MLA IP Design Verification Engineer, Annapurna Labs The role is for a Design Verification Engineer focused on machine learning hardware in Amazon's data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress against customer metrics. Requires a Bachelor's degree in Electrical Engineering and experience in bug identification and multi-level verification. | — | 0 |
| Associate Delivery Consultant – AIML, ProServe A2C Delivery , Associate to Consultant (A2C) This role is for an Associate Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and providing technical guidance. While the role mentions data and machine learning pipelines in preferred qualifications, the core responsibilities are centered around general AWS cloud consulting and solution delivery, not direct AI/ML model development or research. | — | 0 |
| Delivery Consultant - Security This role focuses on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on security and cloud architecture. It involves collaborating with stakeholders, providing technical guidance, and ensuring adherence to best practices throughout the project lifecycle. The position requires a US Citizen with an active Top Secret security clearance. | — | 0 |
| Senior Delivery Consultant - Security Senior Delivery Consultant - Security role at Amazon Web Services (AWS) focusing on designing, implementing, and managing AWS security solutions for customers. Requires deep understanding of AWS products, security best practices, and customer-facing technical expertise. | — | 0 |
| Sr. Software Dev Engineer, Measurement Ad Tech Data Science This role is for a Senior Software Development Engineer focused on measurement and ad tech within Amazon's advertising suite. The responsibilities involve designing and developing software products for ad performance measurement at internet scale, utilizing big data and machine learning technologies on massive datasets. The role requires experience in software development, architecture, and leading engineering teams, with a focus on scalable and maintainable systems. | — | 0 |
| Account Manager, Amazon Business Marketplace This role is for an Account Manager at Amazon Business Marketplace, responsible for recruiting new selling partners, supporting their onboarding, and driving their early growth on the platform. The role involves developing recruiting strategies, conducting strategic sales proposals, and identifying target sellers through market data analysis. The company mentions actively incorporating AI tools and Generative AI into daily operations to accelerate decision-making and allow employees to focus on critical tasks, with resources available for continuous learning in AI. | — | 0 |
| UX designer, Cross Border and International Expansions UX Designer for Amazon's Cross-Border Shopping team, focusing on global e-commerce experiences. Responsibilities include end-to-end design, prototyping, and collaboration with product, engineering, and research teams to ship customer-facing features at scale. | — | 0 |
| Software Development Engineer-II (SDE 2), Worldwide Returns and Recommerce This role is for a Software Development Engineer II on the Worldwide Returns and Recommerce team at Amazon. The team focuses on achieving zero cost of returns, zero waste, and zero defects by developing innovative products and driving operational excellence. The engineer will design, develop, and support scalable, distributed real-time systems using Java and other technologies. While the team trains machine learning models, this specific role is focused on the software engineering aspects of building and supporting these systems, not on the core AI/ML model development itself. | — | 0 |
| ASIC Engineer, Annapurna Labs Amazon Web Services (AWS) is seeking an ASIC Design Engineer for its Annapurna Labs team. This role focuses on the design and optimization of custom System on Chip (SoC) hardware for AWS's machine learning servers, specifically mentioning AWS Inferentia for machine learning inference. The engineer will be responsible for RTL design, microarchitecture, synthesis, and ensuring design integrity through quality checks. Collaboration with cross-functional teams is a key aspect of the role. | — | 0 |
| Software Development Engineer, AWS OpenSearch Software Development Engineer role focused on building and scaling distributed systems for Amazon OpenSearch Service, a managed service for search, analytics, 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 pipelines, query optimization, and multi-tenant infrastructure. It is part of a new AI-led team focused on next-generation search and AI infrastructure. | — | 0 |
| Sr Manager, AI Systems Quality & Reliability , Annapurna AI Servers and Systems Senior Manager, AI Systems Quality & Reliability at Amazon's Annapurna Labs, leading the QnR function for Trainium AI server products. This role involves owning quality and reliability outcomes from component qualification to fleet performance, defining reliability strategy for liquid-cooled and air-cooled platforms, building quality systems across a global manufacturing base, driving failure investigations, and establishing reliability characterization for next-generation technologies. Requires extensive experience in root cause analysis, reliability/quality engineering with server compute platforms, and people management. | — | 0 |
| Sr PCBA Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on the manufacturing, quality, and reliability of AI servers and systems, specifically those based on Trainium chips. The engineer will work with cross-geographical ODMs and CMs, providing feedback on PCB/PCBA DFM, developing manufacturing processes, driving qualification, investigating failures, and optimizing yields. The role is part of the AWS Annapurna Labs team, which develops custom silicon and servers for machine learning. | — | 0 |
| Site Technical Manager, Global Manufacturing & Operations This role is for a Site Technical Manager in Amazon's Global Manufacturing & Operations for consumer electronic devices. The manager will oversee manufacturing technical issues, ensure technical readiness for product ramps, drive process and yield improvements, lead root cause analysis, and develop manufacturing automation. While the role mentions leveraging advanced analytics and machine learning for process optimization and AI-enabled technologies integration, the core responsibilities are in manufacturing engineering and process improvement, not in building or researching AI/ML models themselves. | — | 0 |
| Senior Software Dev Engineer, JP Manga Senior Software Development Engineer role focused on building and owning customer-facing mobile experiences for JP Manga at Amazon. The role requires deep native mobile expertise (iOS/Android/React Native) and leadership in technical design, architecture, performance, and operational excellence. While the role mentions using AI-assisted tools, the core responsibility is building the manga reading and discovery product, not developing AI models or systems. | — | 0 |
| Program Manager, QC Ops Excellence Program Manager for Quick Commerce (QC) Operations Excellence in Japan, focusing on defining, optimizing, and ensuring compliance with operational standards. The role involves end-to-end process standardization, improvement, and tracking, leveraging data analysis and influencing skills. While the role mentions the use of AI and GenAI tools, it is not a core AI/ML development role. | — | 0 |
| Delivery Consultant- Data, WWPS ProServe Data and Machine Learning This role is for a Delivery Consultant specializing in Data Engineering & Architecture within AWS Professional Services. The consultant will design, build, and optimize data architectures and platforms for public sector customers, focusing on cloud data applications and data-driven decision making. The role requires strong data engineering and architecture skills, experience with cloud data platforms, and customer-facing consulting. | — | 0 |
| Delivery Consultant - Data This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable and secure solutions, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires strong skills in cloud architecture, data ingestion, data engineering pipelines, data transformations using Spark, and software development lifecycle best practices. Experience with AWS services, performance optimization, and cost management is preferred. | — | 0 |
| Sr Specialist SA Data Analytics, AGS-ASEAN Specialist Team Senior Specialist Solutions Architect for Data & Analytics within AWS's ASEAN Specialist Team. This role focuses on technical leadership, customer engagement, and driving adoption of AWS data and analytics services for enterprise customers. Responsibilities include technical strategy for complex deals, building executive relationships, thought leadership at industry events, developing accelerators, and mentoring other SAs. The role is within the Sales, Marketing, and Global Services (SMGS) organization. | — | 0 |
| Content and Engagement Specialist, Attraction, Influence & Marketing (AIM) This role focuses on developing, activating, and optimizing non-paid marketing strategies to engage candidates and reduce reliance on paid marketing. It involves content marketing, candidate engagement, data analysis, and campaign management, with opportunities to learn and utilize AI/GenAI tools. | — | 0 |
| Software Dev Engineer II, Global WHS Software Development Engineer II role focused on building scalable, reliable products for Amazon's global workforce health and safety, leveraging technologies like IoT, Generative AI, and Computer Vision. The role involves leading the product lifecycle, collaborating with cross-functional teams, and mentoring junior engineers. | — | 0 |
| Applied Scientist, Structural Design Integrity, Hardware - Product Integrity This role focuses on applying physical sciences, theoretical, numerical, or empirical techniques to create scalable models for product design integrity in consumer electronics. It involves working with multi-disciplinary teams, developing innovative analysis and tests, optimizing hardware/software solutions, establishing automated processes for design and data analysis, and conducting research into materials and techniques. The role utilizes simulation tools like LS-DYNA and Abaqus, and programming languages like Python and Matlab for analytical tasks and automation. Key areas include structural, thermal, fluid dynamics, and materials science, with a focus on developing and testing structural solutions from concept to validation. | — | 0 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a strong emphasis on governance, risk, and compliance (GRC). The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and automating compliance processes in the AWS cloud. While the team works with emerging technologies like Generative AI, the core responsibilities are centered around security, compliance, and risk management in cloud infrastructure, not the direct development or deployment of AI models. | — | 0 |
| Software Dev Engineer III, AWS SageMaker Unified Studio Software Development Engineer III for AWS SageMaker Unified Studio, focusing on building an AI-assisted unified development environment for data engineers, data scientists, and SQL analysts. The role involves designing and building large-scale distributed systems, data workflows, and innovative technologies within the cloud. | — | 0 |
| Sr Delivery Consultant - SRC, WWPS Professional Services - GPS This role is for a Senior Delivery Consultant focused on Security within AWS Professional Services. The consultant will design, implement, and manage AWS solutions, provide technical guidance, collaborate with stakeholders on migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role requires a strong understanding of AWS services, security best practices, and experience with automation and incident response. A TS/SCI security clearance with polygraph is mandatory. | — | 0 |
| Applied Scientist, AWS Science of Security This role focuses on advanced and rigorous solutions for security, privacy, and sovereignty within AWS. The Applied Scientist will solve complex problems, own the design and delivery of solutions with long-term impact, provide technical influence, and develop fundamentally new solutions. The role requires a PhD or equivalent research experience in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis. | — | 0 |
| Senior Applied Scientist, AWS Science of Security This role focuses on applying advanced scientific innovation to solve complex security, privacy, and sovereignty problems within AWS. It involves strategic problem-solving, designing and implementing solutions, and providing technical influence across organizations. The core technical areas include SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, and program analysis. | — | 0 |
| Software Development Engineer, Alexa Customers & Technology Software Development Engineer for embedded systems on Alexa devices, focusing on system architecture, feature development, performance optimization, and firmware design. The role involves the full embedded development lifecycle, collaboration with cross-functional teams, and driving the adoption of Generative AI tools. | — | 0 |
| Technical Program Manager, Amazon Fulfillment Technologies (AFT) - Outbound/Flow The Technical Program Manager will lead initiatives in Amazon Fulfillment Technologies, focusing on software for item picking in warehouses. The role involves working with users, understanding the domain, and identifying improvements, with opportunities to work with advanced technologies like AWS, robotics, machine learning, and augmented reality. The position requires managing programs across cross-functional teams and coordinating release schedules. | — | 0 |
| Software Development Engineer, AWS Marketplace Software Development Engineer for AWS Marketplace, focusing on evolving the service to meet customer needs by owning significant portions of the product and influencing strategy. The role involves working on complex system software, leveraging AI tooling and Spec-Driven Development, and building quality software with operational excellence. | — | 0 |
| Software Development Engineer, Item Relationships Pipeline Software Development Engineer role focused on building and expanding a core platform for managing product relationships across Amazon's catalog. The role involves working on highly available distributed microservices, machine-learning and rule-based validation systems, and data stores, serving millions of requests per second with low latency. | — | 0 |
| ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs ASIC Design Engineer for AWS's custom machine learning acceleration hardware (Inferentia), focusing on RTL design, optimization, and ensuring high design quality for high-performance, area, and power-efficient chips. | — | 0 |
| Systems Development Engineer II, US Amazon Dedicated Cloud Security Engineering This role focuses on developing and managing physical access control systems (PACS) and automating security infrastructure within a classified AWS environment. It involves architecting and implementing enterprise-scale security solutions, designing high-availability distributed systems, developing custom security tools, and creating monitoring systems that may use machine learning for anomaly detection. The role requires strong programming skills, experience with CI/CD, and systems administration, along with a TS/SCI security clearance. | — | 0 |
