Currently tracking 1110 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
Amazon currently has 1573 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), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). 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 (1023 roles), Canada (59 roles), United Kingdom (47 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 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Executive Assistant, Artificial General Intelligence Executive Assistant role supporting senior leaders in an Artificial General Intelligence (AGI) organization. Responsibilities include calendar management, travel coordination, event planning, and maintaining team culture. Requires strong organizational skills, discretion, and judgment. | — | 0 |
| Category Manager, Construction Procurement This role is for a Category Manager in Amazon's construction procurement department. The primary focus is on managing procurement operations for fulfillment centers, including equipment design, budget creation, ordering, cost analysis, and supplier management. While the role mentions the use of AI and GenAI tools to accelerate decision-making and improve focus, the core responsibilities are in supply chain and procurement, not in building or directly working with AI models. | — | 0 |
| ASIC Test Engineer, Annapurna Silicon Operations Amazon is seeking an ASIC Test Engineer to develop tests and oversee production of their AI training chips (Trainium). The role involves hardware and software development for testing, NPI support, and high-volume production troubleshooting. Requires a Bachelor's degree in Electrical Engineering, experience with debugging, SoC verification, specific test equipment (Advantest 93K, Teradyne IGXL), and C/C++ or VBA/VBT. |
| — |
| 0 |
| Corporate Counsel, Amazon Health Services Corporate Counsel for Amazon Health Services, advising on legal and regulatory strategies for AI-enabled healthcare technology, new business initiatives, and customer products/services. Focus on identifying and mitigating risks, and developing compliance mechanisms. | — | 0 |
| Software Development Engineer, Amazon Fulfillment Technologies (AFT) - Outbound/Flow Software Development Engineer role in Amazon Fulfillment Technologies focused on the Outbound/Flow group, responsible for software that enables warehouse staff to pick items for orders quickly and accurately. The role involves dealing with real physical processes and real-time constraints, with opportunities to work with technologies like AWS, robotics, machine learning, and augmented reality. The engineer will be responsible for writing robust, reliable, scalable code and operating a mission-critical platform. | — | 0 |
| Software Development Manager Lead a team of Software Development Engineers to build and run control plane and data streaming systems for EC2 instance placement. The role involves creating vision and roadmap, attracting and growing talent, mentoring, and fostering an inclusive engineering culture. Requires solid technical leadership, a strong software engineering background with an interest in optimization, machine learning, and data streaming technologies, and experience in managing teams to deliver results in an agile environment. | — | 0 |
| Solutions Architect, Public Sector Solutions Architect for AWS Public Sector, focusing on helping customers architect and implement solutions on the AWS platform. This role involves technical engagement, understanding customer needs, and ensuring successful project delivery. | — | 0 |
| Cloud Operations Architect / Architecte des opérations cloud, EMEA, France AWS Enterprise Support is seeking a Cloud Operations Architect to provide technical guidance and support to customers in adopting and utilizing AWS services. This role involves acting as a principal technical advisor and the 'voice of the customer' for organizations ranging from startups to Fortune 500 enterprises, helping them achieve maximum value from AWS. | — | 0 |
| Professional Services II - AMZ17578.5 This role focuses on ensuring customer success on the AWS platform by assisting with technical architecture, application development, and cloud migration. It involves collaborating with partners and customers, delivering proof-of-concept prototypes, and providing input to AWS technology roadmaps. The role requires experience with AWS services, cloud-based solutions, and scripting/programming tools. | — | 0 |
| Team Manager, CXQO, JWO CXQO Field, CXQO This role is for a Team Manager within Amazon's AWS Applied AI Solutions organization, specifically focused on physical stores and checkout-free shopping experiences like Amazon Go and Amazon Dash Cart. The role involves leading and coaching teams to deliver customer-centric technology solutions, focusing on people management, talent development, performance, and engagement. While the team's work leverages advanced technologies like computer vision and machine learning, this specific role is centered on management and leadership rather than direct AI/ML development or research. | — | 0 |
| Technical Recruiter, Annapurna Labs Technical Recruiter role focused on hiring for cloud infrastructure solutions, specifically mentioning AWS Nitro, Graviton, and machine learning accelerators. The role involves partnering with hiring teams, assessing candidates, market research, and process improvement. Requires experience recruiting for technical roles in engineering and technology sectors. | — | 0 |
| Software Development Engineer - Big Data, Brand Metrics and Benchmarks Software Development Engineer role focused on building and architecting large-scale big data pipelines and data paradigms for advertising data at Amazon. The role involves designing fault-tolerant data pipelines, enabling real-time analytics and ML applications, and collaborating with data scientists and partner teams. It requires experience with big data technologies like Spark and AWS, and focuses on stability, reliability, and continuous improvement of the data platform. | — | 0 |
| HR Partner, APJC HRP Team This HR Partner role at Amazon focuses on providing high-judgment HR support to managers, managing complex employee issues, performance management, employee relations, and change management. While the role mentions the use of AI and GenAI tools within Amazon's operations and for decision-making acceleration, the core responsibilities do not involve building or shipping AI/ML models or systems. The role emphasizes HR acumen, problem-solving, and partnering with stakeholders, with AI tools being supportive rather than central to the craft. | — | 0 |
| SoC Validation Engineer, Amazon Devices Amazon is seeking an SoC Emulation Engineer to work on the Silicon IP AZ1 Neural Edge, which powers Echo devices. The role involves pre-silicon and post-silicon validation of next-generation SoCs using emulation, prototyping, and early silicon. Responsibilities include developing and executing test plans, designing test environments, building emulation and prototype models, and collaborating with architects, RTL designers, and software development teams. The role requires experience in pre-silicon verification using SystemVerilog/UVM and post-silicon validation, with strong debugging, analysis, and automation skills. | — | 0 |
| Regional HR Manager, SSD, SSD/QC PXT This role is for a Regional HR Manager at Amazon, focusing on partnering with regional leaders, managing HR functions like recruiting, associate engagement, talent development, performance management, and organizational development. The role also involves driving global HR initiatives and ensuring a positive associate experience, while leveraging AI and GenAI tools within the HR operations. | — | 0 |
| Data Engineer, Amazon Amazon Payments is looking for a Business Intelligence Engineer to develop analytics and insights for global executive management teams. The role involves building new analytical experiences, focusing on merchant acquisition for global payments. Responsibilities include designing and implementing large-scale data structures, ETL pipelines using SQL, Python, and Spark, and collaborating on algorithms for statistical analysis and machine learning. | — | 0 |
| Applied Scientist, Special Projects This role focuses on developing and operating bioinformatics analysis workflows on AWS, evaluating novel bioinformatic approaches, originating data collection workflows, and partnering with laboratory science teams on experiment design and analysis. It emphasizes innovation and creating new products and services within Amazon's Special Projects team. | — | 0 |
| Business Analyst II, Relay Product Excellence This Business Analyst II role focuses on turning operational data into insights, defining business requirements, and driving process improvements in compliance and verification workflows. The role involves data analysis using SQL and Python, building reports and dashboards, stakeholder communication, and project delivery within the Relay Product Excellence team at Amazon, which monitors transaction integrity for identity verification and account support. | — | 0 |
| Instrument Control Engineer, Software, Center for Quantum Computing The Instrument Control Engineer will work on software for quantum computing devices, collaborating with physicists and hardware developers to characterize, calibrate, and operate quantum devices. Responsibilities include translating science requirements into software implementations, developing instrument drivers, and contributing to compiler backends for experimental execution. The role requires strong engineering principles and teamwork. | — | 0 |
| System Development Manager, Catalog Engineering Service Support This role is for a System Development Manager in Amazon's Catalog Engineering Service Support team. The primary focus is on managing a team of System Development Engineers to support and improve the systems that host and run Amazon's product catalog. Responsibilities include ensuring system availability, monitoring performance, driving operational efficiency, and leading projects. While the team works with technologies like Machine Learning, NLP, and Image Recognition, the role itself is focused on managing the support and operational aspects of these systems, not on developing or deploying AI models directly. | — | 0 |
| DFT Design Engineer, Machine Learning Acceleration This role is for a DFT Design Engineer focused on custom SoCs for AWS Machine Learning servers, specifically AWS Inferentia and Trainium systems. The engineer will define and develop DFT architectures, work with design teams, perform RTL coding and verification, and utilize DFT tools for test pattern generation and silicon debug. The role requires experience with complex SoC designs and standard DFT practices. | — | 0 |
| Senior Architecture Modeling Engineer, AWS Machine Learning Accelerators Develop and own SoC functional models end-to-end, including model architecture, integration, testing, and debug for AWS Machine Learning accelerators. Collaborate with architecture, RTL design, and software teams. Innovate on tooling for customers and drive performance improvements. Experience with C++ or SystemC is required, Python is familiar. No ML background needed, but opportunity to learn. | — | 0 |
| Software Developer Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for diverse languages, cultures, and regions. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies and machine learning. | — | 0 |
| Finance Manager, SCOT Finance Finance Manager for Amazon's Supply Chain Optimization Technologies (SCOT) team, focusing on strategic sourcing. The role involves supporting sourcing strategy, vendor selection, financial metrics, planning, forecasting, and reporting. It requires collaboration with operations research scientists, economists, machine learning specialists, software developers, and product managers, but the core function is finance management and analysis, not direct AI/ML development. | — | 0 |
| Software Developer Engineer II, IES LATECH Software Development Engineer II role focused on automating the launch strategy for Amazon's expansion into new countries, building customer-facing features in a distributed environment that impacts e-commerce revenue globally. The role involves designing, developing, and operating software solutions, mentoring junior engineers, and contributing to recruiting. | — | 0 |
| Senior Delivery Consultant - Application Modernization, AWS Professional Services This role focuses on leading the design, implementation, and management of AWS cloud solutions for application modernization, acting as a trusted advisor to customers on cloud adoption and emerging technologies. It involves collaborating with stakeholders, assessing current applications, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle. | — | 0 |
| Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team This role is for a Senior Manager leading a team of SOC integration engineers responsible for designing and optimizing ML accelerator chips and inference servers within AWS. The focus is on hardware design and integration for machine learning acceleration, not on the AI/ML models themselves. | — | 0 |
| Controls Engineer, North Asia, APAC Controls Deployment & Service The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and delivering projects for upgrades and new builds. This role involves collaborating with various internal teams and external vendors to maintain high standards of safety, security, and cost-efficiency. | — | 0 |
| Software Dev Engineer II, FireTV Devices, Content & Advertising Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery. | — | 0 |
| Team Manager, JWO CXQO Field Team Manager for AWS Applied AI Solutions organization, focusing on leveraging AI/ML for business applications in physical stores (e.g., Amazon Go, Dash Cart). The role involves coaching, building, and leading high-performing teams to deliver world-class customer experiences and achieve operational KPIs. Responsibilities include people management, talent development, performance management, and fostering a positive team environment. | — | 0 |
| Sr Strategic Sourcing Manager, AWS HW Design and Manufacturing Partnerships This role is for a Sr Strategic Sourcing Manager within AWS Infrastructure Services, focusing on managing relationships with strategic partners who design and manufacture hardware for AWS servers, storage, networking, power, and cooling. The individual will be responsible for cost, performance, contracting, and strategy, collaborating with cross-functional teams including hardware engineering, supply chain, and operations. The role involves negotiating complex agreements, developing sourcing strategies, and influencing senior leadership. While the role interacts with partners involved in generative AI hardware, the core function is strategic sourcing and supply chain management, not AI/ML development. | — | 0 |
| Software Development Manager, ICON Software Development Manager for the Intelligent Cloud Hosting (ICON) team at Amazon, focusing on developing innovative software products to boost engineer productivity and improve service posture (security, availability, efficiency, compliance, maintainability). The role involves leading the design, implementation, and delivery of large-scale distributed systems, partnering with product and program management, and leveraging machine learning for statistical evaluation and pattern recognition. While AI/ML is mentioned as a tool for improvement, the core craft of the role is software engineering management and platform development, not direct AI/ML model building. | — | 0 |
| Senior Program Manager, Network Balance and Equipment Optimization (NBEO) Senior Program Manager for Amazon's Middle Mile Transportation Technology organization, focusing on optimizing the transportation network using technology, big data, machine learning, and optimization techniques. The role involves end-to-end ownership of requirements, strategy, roadmap development, and execution, collaborating with engineering and business teams to deliver cost-effective and efficient solutions. | — | 0 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability Manufacturing Engineer for AWS Trainium (ML accelerator) hardware, focusing on quality, reliability, and manufacturing processes with ODMs/CMs in Asia. Responsibilities include test validation, process improvement, line qualification, risk assessment, and root cause analysis for production and supplier defects. | — | 0 |
| Sr. PM, SSD Speed Services, SSD Japan This role focuses on leading programs, partnerships, and innovations to strategically grow Amazon's Sub Same Day (SSD) delivery capabilities in Japan. The successful candidate will drive robust planning processes and data-driven decision-making for network expansion and topology optimization, partnering with various functional teams. While the company utilizes AI/GenAI tools and offers opportunities for AI fluency development, the core responsibilities of this role are in operations management, logistics, and supply chain optimization, not in building or researching AI/ML models. | — | 0 |
| Senior Operations Manager, AMZL This role is for a Senior Operations Manager at Amazon Logistics (AMZL) in Japan. The primary focus is on managing and optimizing last-mile delivery operations, including budget, people development, and operational objectives for a delivery station. While the role mentions the use of AI and GenAI tools to enhance decision-making and focus, the core responsibilities are centered around traditional logistics and operations management, not the direct development or deployment of AI models or systems. | — | 0 |
| HR Specialist_ACM Consultant (APAC - 12 month contract), DLS This role focuses on managing the accommodation process for employees, acting as a primary contact and subject matter expert on disability laws and accommodation procedures. While the company utilizes AI and GenAI tools, this specific role does not involve building or directly working with AI/ML models. The responsibilities include case management, stakeholder collaboration, and educating employees and HR on accommodation processes. | — | 0 |
| Senior Manager, Indirect Tax Planning Senior Manager, Indirect Tax Planning role in Amazon's Pan EU Indirect Tax Planning and Advisory team. Focuses on VAT and other indirect taxes, providing business partnering to senior colleagues in retail, operations, and international expansions. Involves tax authority audits, legislative changes, and restructures. Requires strong technical skills in VAT and familiarity with other indirect taxes. Comfortable using process and technology in tax matters, including generative AI tools, though no coding is required. | — | 0 |
| Front End Development Engineer, One MHS Software Controls and Science Front-End Development Engineer for Amazon's One MHS Software Controls and Science team, focusing on building Human Machine Interfacing Platforms for automated material handling systems and robotics. The role involves designing and building scalable front-end infrastructure, writing automated UI tests, and instrumenting software with real user metrics. While exposure to Machine Learning is mentioned, the core responsibilities are in front-end development and automation tools for robotics. | — | 0 |
| Data Collection Specialist, V-CARE The Data Collection Specialist role focuses on collecting, annotating, and processing natural language data for machine learning purposes. Responsibilities include executing data collection procedures, documenting issues, and contributing to improvements in data collection tools and protocols. The role requires attention to detail, organizational skills, and the ability to work in a fast-paced environment. Experience with data labeling, annotation, and understanding ML data processing needs are essential. | — | 0 |
| System Development Engineering II, Ship With Amazon This role is for a System Development Engineer at Amazon, focusing on the global fulfillment network and transportation logistics. The engineer will troubleshoot, diagnose, and fix production software issues, develop monitoring solutions, perform software maintenance, implement fixes for internally developed code, run SQL queries, and build tools for operational automation. They will also collaborate with development teams on software projects, enhance existing software, automate support processes, and document systems. The role requires quick learning, ability to handle multiple tasks, and identifying/preventing problems before they occur. Experience with large-scale infrastructure automation, programming in languages like Python or Java, Linux/Unix, and CI/CD pipelines is required. Experience with distributed systems at scale is preferred. | — | 0 |
| Senior Solutions Architect, Power and Utilities Solutions Architect role at AWS focusing on the Power and Utilities sector in Germany. Responsibilities include advising enterprise customers on cloud architectures, accelerating their projects, and sharing technical best practices. The role involves building technical relationships, educating customers, and contributing to the growth of the Solutions Architecture organization. | — | 0 |
| VAT Manager, Tax This role is for a VAT Manager in Amazon's Pan EU Indirect Tax Planning and Advisory team, focusing on German and EU VAT regulations. The candidate will act as a strategic business partner to finance, legal, accounting, and technology teams, providing guidance on legislative requirements and collaborating with tax authorities. While familiarity with emerging technologies like generative AI is mentioned, the core responsibilities are in traditional tax management, not AI/ML development. | — | 0 |
| Sr Business Development Manager, Amazon Fashion & Fitness This role is for a Senior Business Development Manager in Amazon Fashion & Fitness, focused on driving brand growth and identifying new business opportunities. The role requires strong business management, negotiation, and relationship-building skills, with an analytical approach to decision-making. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to improve products/workflows, the core responsibilities are in business development and sales, not in building or shipping AI models or systems. | — | 0 |
| Data Engineer II Data Engineer II role focused on building and maintaining data platforms, clusters, and pipelines for Amazon's Transparency program, which protects consumers from counterfeit products. The role involves collaborating with analytics teams to implement advanced analytics and GenAI algorithms, but the core responsibility is data engineering. | — | 0 |
| Manager, TIPM, Delivery Ops, Data Center Planning and Delivery Manager for AWS Data Center Planning and Delivery, responsible for end-to-end program management of high-visibility initiatives impacting infrastructure capacity delivery in the Americas. The role involves leading Capital Approval Request (CAR) program management, core business operations, knowledge management, training, and on-time delivery programs. A key aspect is building and scaling Generative AI automation capabilities to enhance operational efficiency and support organizational growth. | — | 0 |
| Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs This role is for a Senior SOC Verification Engineer focused on custom silicon for ML acceleration in Amazon's datacenters. The engineer will be responsible for verifying these custom chip designs at the SOC level, integrating third-party IPs, creating testplans, writing testcases, executing coverage plans, and debugging bugs. The role also involves mentoring junior engineers and maintaining regression infrastructure. While the chips are for ML acceleration, the core function of the role is hardware verification engineering, not direct AI/ML model development or research. | — | 0 |
| Network Operations Support, Global Connectivity Infrastructure Development This role is for a Network Operations Support position within AWS Global Connectivity Infrastructure Development, focusing on the design, planning, delivery, and operation of AWS global infrastructure. The candidate will support data center locations, manage capacity, automate and scale operations, and work with vendors and cross-functional teams to ensure smooth project execution and network growth. The role requires experience in computer hardware troubleshooting and networking. | — | 0 |
| Program Manager, Launch Configuration and Verification, AMZL JP Launch & Expansion, AMZL JP Launch & Expansion Program Manager role focused on launching and verifying configurations for Amazon's logistics network in Japan. The role involves system configuration and verification for all last-mile nodes, aiming for a 'Right First Time' launch with a target of zero DPMO. While the company mentions integrating AI tools into daily operations, this role itself is not directly building or deploying AI models. | — | 0 |
| Data Engineer III, Global Transportation Tech Services (GTTS), Global Transportation Tech Services (GTTS) Data Engineer role focused on building and maintaining data infrastructure, pipelines, and models for Amazon's transportation network. The role involves working with large datasets, AWS data technologies, and supporting analytics and machine learning use cases. | — | 0 |
