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 |
|---|---|---|
| Software Engineer II, MLA Automation & Deployments Software Engineer II role focused on designing and building services and automations to improve the releases and operations of Machine Learning servers within Amazon's Annapurna Labs. The role involves developing CI/CD pipelines, understanding ML platforms, and collaborating with ML software and hardware teams to enhance system efficiency and quality. Requires experience with Java/Kotlin, AWS services (Step Functions, DynamoDB, Lambdas, CDK, CloudFormation, EC2), and releasing software at scale. | — | 0 |
| Software Development Engineer, India Operations, India Operations Software Development Engineer role focused on optimizing Amazon's supply chain operations in India and emerging markets. The role involves designing, developing, testing, deploying, and maintaining distributed software solutions across various technical stacks, including web applications, backend services, cloud architecture, and potentially machine learning, to improve efficiency in areas like inventory distribution, return logistics, and fulfillment center planning. | — |
| 0 |
| Support Engineer , Retail Business Services This role is for a Support Engineer on the Retail Business Services team at Amazon. The primary responsibilities include evaluating emerging technologies, leading incident management, developing automation solutions, and collaborating with peers to solve problems. The role involves working with data infrastructures and potentially leveraging machine learning for automation, but AI/ML is not the core craft. | — | 0 |
| Senior Networking Specialist Solutions Architect, AWS Industries Customer Acceleration Team This role is for a Senior Networking Specialist Solutions Architect at AWS Industries. The primary focus is on designing, implementing, and consulting on networking solutions for enterprise customers to optimize their cloud adoption and business objectives. It involves technical expertise in networking, hybrid connectivity, security, and scalability within the AWS ecosystem, and contributing to thought leadership and best practices. While the role mentions Generative/Agentic AI in the context of SAP clean core design, the core responsibilities and the role itself are focused on networking infrastructure, not AI model development or deployment. | — | 0 |
| Senior Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Engineer role on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams. Requires strong C/C++ or Rust development in Linux, with ML framework and cluster management knowledge being highly preferred. | — | 0 |
| Senior Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Engineer role on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams. Requires strong C/C++ or Rust development in Linux, with ML framework and cluster management knowledge being highly preferred. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Software Development Engineer, EC2 Instance Networking Software Development Engineer role focused on building next-generation automation and analytics services for AWS VPC networking. Responsibilities include developing scalable frameworks for fault detection, remediation, data warehousing, and visualizations, with familiarity in machine learning and real-time data processing. | — | 0 |
| Software Development Engineer, EC2 Nitro Instance Networking Software Development Engineer role focused on building next-generation automation and analytics services for AWS VPC networking. Responsibilities include developing scalable frameworks for fault detection, remediation, data warehousing, and visualizations. Requires understanding of AWS networking, back-end development, full-stack web development, and familiarity with machine learning and real-time data processing. | — | 0 |
| Sr. Global Category Manager - Electric Panels and Racks, Electromechanical Strategic Sourcing Team This role is for a Sr. Global Category Manager focused on electrical control panels and racks within Amazon's Robotic Delivery & Packaging Innovation (RDPI) organization. The position requires a strong technical background in panel manufacturing, regulatory compliance, and electrical systems engineering, with expertise in global supplier management, new supplier introduction, and supplier development. The candidate will engage in Value Analysis and Value Engineering (VAVE) and DFx exercises, provide technical feedback to design groups, and support design decisions. The role involves translating technical specifications into sourcing strategies, managing supplier relationships and contracts, driving cost optimization, risk mitigation, and lead-time reduction, and owning supplier performance management. Collaboration with engineering, operations, and program teams is essential. | — | 0 |
| ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team The role is for an ASIC Design Engineer on the Cloud-Scale Machine Learning Acceleration team at Amazon Web Services (AWS). The team designs custom silicon and software that accelerates innovation, specifically focusing on hardware for AWS Machine Learning servers, including AWS Inferentia, a custom machine learning inference datacenter server. The engineer will be responsible for the design and optimization of this hardware, tackling challenges at massive scale and integrating emergent technologies. | — | 0 |
| Senior SDE, OMHS SCS Software Development Engineer role focused on integrating robotics and automation within Amazon's global fulfillment network, specifically on edge compute solutions for industrial automation. The role involves the full software development cycle, from scoping to delivery, working across multiple layers of the stack from low-level controls to cloud solutions. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation applications within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, validating solutions, and working across multiple layers of the technology stack from low-level controls to cloud-based systems. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation applications within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, validating solutions, and working across multiple layers of the technology stack from low-level controls to cloud-based systems. | — | 0 |
| Software Development Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, and working across the full software development lifecycle from low-level controls to cloud interfaces. | — | 0 |
| ERP Solution Architect, Amazon Robotics Business Applications and Solutions Engineering This role is for an ERP Solution Architect focused on designing and implementing controls for Enterprise Resource Planning (ERP) systems, specifically SAP technologies. While it mentions experience with Generative/Agentic AI in the context of non-SAP technologies for design and build, the core function of the role is ERP system architecture and implementation, not direct AI/ML model development or deployment. | — | 0 |
| Data Analyst Transp - FM, Pickup, First Mile Data Analyst role at Amazon focused on transportation and logistics, requiring proficiency in Excel, SQL, and Python for data analysis and process improvement. The role involves cross-functional collaboration and tracking business performance. | — | 0 |
| Process Engineer, Process Engineering Process Engineer for Amazon Logistics (AMZL) in Japan, focusing on standardizing and optimizing the last-mile delivery network. The role involves driving process innovations, developing equipment, creating infrastructure design standards, and managing cross-functional projects to improve safety, customer experience, productivity, quality, and cost. | — | 0 |
| Senior Applied Scientist, Amazon Robotics - Vulcan Stow Senior Applied Scientist role focused on the motion stack for a robotic stowing system, involving real-time control, manipulation, motion planning, and safety. The role requires C++ and Python development, technical leadership, and collaboration across teams to deliver production-level robotic features at scale. | — | 0 |
| Delivery Consultant - Application Development, AWS ProServe This role is for a Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through their cloud journey, and act as a trusted advisor on industry trends and emerging technologies. Responsibilities include gathering requirements, proposing migration strategies, leading implementation, optimizing performance, and managing risks. | — | 0 |
| Senior Solutions Architect, WWPS ISV This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on ISV Partners in the Enterprise Resource Planning (ERP) and Human Capital Management (HCM) space. The primary responsibilities include owning the technical engagement and success of implementation projects, defining architectures, responding to RFPs, developing expertise in AWS technologies, and acting as a subject matter expert on security. The role also involves developing thought leadership content, mentoring junior SAs, and influencing the AWS service roadmap based on customer feedback. While the role mentions 'Data & AI on AWS', the core function is cloud architecture and customer enablement, not direct AI/ML model development. | — | 0 |
| Data Analyst, AMET Central Data Analytics team The Data Analyst role focuses on developing data collection processes, managing data systems, designing queries, generating reports in SQL, charting data, developing dashboards using Amazon Quicksight, and automating analysis with Python. The role supports business decision-making by providing analytical support and insights into quality defects and inventory adjustments, working closely with ICQA, Learning, and Finance departments. It involves preparing reports for business reviews and supporting leadership in interpreting data trends. Basic qualifications include strong analytical skills, attention to detail, effective communication with various functional groups, project management experience, and familiarity with AWS technologies like Redshift, S3, and Glue. Preferred qualifications mention experience with training and deploying machine learning systems, but this is not the core focus of the role. | — | 0 |
| Data Quality Specialist - German, AGI Data Services - G T Quality This role focuses on establishing and maintaining quality frameworks for operations, defining quality metrics, creating actions for quality issues, analyzing data trends, and partnering with teams to optimize workflow quality. It involves monitoring performance, handling escalations, and suggesting improvements for quality tools and processes. While the company mentions AI and LLMs, this specific role is centered on data quality and operational excellence, not direct AI/ML model development or research. | — | 0 |
| SDE II (Machine Learning), Translation Services Software Development Engineer to drive innovations in translation services at Amazon scale, aiming to make translations a no-op for developers and ensure secondary language experiences match primary language excellence. | — | 0 |
| System Development Engineer II, ReCommerce System Development Engineer II for Amazon's Worldwide Returns & ReCommerce team, focusing on developing software systems, automation, and monitoring solutions to improve operational excellence and resolve production issues. The role involves the full software development lifecycle, from design to operations, within a mature enterprise environment. | — | 0 |
| Solutions Architect, EdTech, WWPS Solutions Architect for EdTech within AWS, focusing on helping customers adopt cloud computing solutions and services, including Generative AI. Responsibilities include technical engagement, architecture design, RFP response, and thought leadership. | — | 0 |
| Senior Business Intel Engineer, Amazon Global Logistics Senior Business Intelligence Engineer for Amazon Global Logistics (AGL) in APAC. Responsible for building data pipelines, identifying growth opportunities, alerting risks, data mining for GTM planning, market competitiveness analysis, and validating product feature ramp-up requests. Mission is to scale AGL's market adoption through data-driven hypotheses, ROI governance, and automation of growth workflows. | — | 0 |
| Data Engineer II (Generative AI - Salesforce Tech), IN Data Engineering & Analytics Data Engineer II role focused on building data infrastructure and ETL pipelines for Amazon India businesses, leveraging AWS technologies. The role involves partnering with business owners to identify improvements and automation opportunities. | — | 0 |
| Systems Engineer, Managed Operations, Managed Operations The Systems Engineer, Managed Operations role at Amazon Web Services (AWS) focuses on building, operating, and evolving operations for high-availability AWS services within the European Sovereign Cloud (ESC). This role involves overseeing the operations and expansion of ESC, collaborating with global AWS teams, and influencing service evolution. Responsibilities include ensuring availability, reliability, latency, performance, and efficiency, with occasional on-call rotations. The position is part of the Utility Computing (UC) organization, supporting various AWS services for EU customers requiring specialized security solutions. | — | 0 |
| SAP Solution Architect, WWPS Global ISV Partners This role focuses on designing and architecting SAP solutions on AWS for public sector customers, with an emphasis on regulated environments. It involves technical leadership across the full lifecycle, including pre-sales, implementation, migration, and optimization. The role also requires building stakeholder relationships, supporting RFPs, mentoring junior architects, and staying current on SAP technologies and cloud modernization trends. While AI services are mentioned, the core function is SAP solution architecture within a regulated cloud environment. | — | 0 |
| Sr. Specialist Solutions Architect - Communications Development Services, CDS, AWS WWSO ProdApps EUC&Other This role is for a Sr. Specialist Solutions Architect within AWS WWSO ProdApps EUC&Other, focusing on security and compliance for customers transitioning workloads to the cloud. The individual will provide technical thought leadership, advise on strategic outcomes, and work with sales and partner teams to drive customer success in areas like email, SMS, and WhatsApp communication strategies. Experience in regulated industries is a plus. | — | 0 |
| Senior Delivery Consultant, WWPS ProServe Senior Delivery Consultant for AWS ProServe, focusing on designing, implementing, and managing AWS solutions for customers. Requires strong software/systems engineering, coding, automation, and architecture skills, with a focus on driving customer success throughout their cloud journey. The role involves collaborating with stakeholders, providing technical guidance, and acting as a trusted advisor on emerging technologies. | — | 0 |
| Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs This role focuses on the hardware development of AI accelerator compute systems, specifically for AWS Trainium and Project Rainier. The engineer will be responsible for system design, validation, and integration of hardware in data centers, working with custom silicon designed for high-performance AI training. The role involves leading hardware development projects, optimizing hardware for AI workloads, and collaborating with cross-functional teams. | — | 0 |
| Sr. Technical Program Manager, AWS Manufacturing This role is for a Senior Technical Program Manager within AWS Infrastructure Services, focusing on manufacturing operations and industrial engineering for AWS rack fulfillment. The individual will be responsible for factory layout and material flow design, capacity planning, automation engineering, and ensuring manufacturing infrastructure scales efficiently. The role involves collaborating with various teams to deliver high standards of safety and security while optimizing cost and capacity for AWS hardware platforms, including EC2, Machine Learning, and Storage. | — | 0 |
| Software Development Engineer, System and Embedded PCIe and Neuron Link This role focuses on developing mission-critical software for the interconnect (PCIe and Neuron Link) of Amazon's next-generation machine learning platforms and custom AI servers (Trainium). The engineer will collaborate with EC2 teams and manufacturing partners on system integration and qualification, working with languages like C, C++, Lua, Bash, and Python to develop device drivers and automation software. The core responsibilities involve enabling and monitoring accelerated compute servers for ML workloads, bringing up new hardware, and developing automated test and deployment pipelines. | — | 0 |
| Visual Designer, Shopbop Senior Visual Designer for Shopbop, responsible for managing and innovating site and email visual style guidelines, and leading the build and production of daily web content across various digital touchpoints. The role requires a detail-obsessed, systems-minded designer to ensure quality, consistency, and operational excellence in a fast-paced e-commerce fashion environment. | — | 0 |
| Sr. Technical Program Manager, AWS Manufacturing This role is for a Senior Technical Program Manager at AWS Infrastructure Services, focusing on manufacturing operations and industrial engineering for AWS rack fulfillment manufacturing sites. The individual will be responsible for factory layout and material flow design, capacity planning, automation engineering, and ensuring manufacturing infrastructure scales efficiently. The role involves translating capacity plans into data-driven facility layouts, designing factory floor layouts including automation and manual assembly zones, developing industrial simulation models, coordinating utility and infrastructure requirements, managing phased layout plans, and driving continuous improvement. The role requires strong leadership, influencing skills, and technical depth, with a focus on establishing manufacturing standards and process control guidelines. | — | 0 |
| Sr. Technical Program Manager, AWS Manufacturing The Sr. Technical Program Manager for AWS Manufacturing Automation and Robotics will be responsible for developing and deploying robotic assembly and automation solutions across AWS rack fulfillment manufacturing sites. This role involves analyzing hardware requirements, working with suppliers to develop and scale automation solutions for various AWS hardware platforms, and establishing manufacturing standards to ensure efficient and reliable production. The position requires strong leadership, technical depth, and the ability to collaborate with cross-functional teams to optimize processes and meet production goals. | — | 0 |
| Sr Technical Program Manager, AWS Manufacturing This role is a Senior Technical Program Manager focused on developing and deploying robotic assembly and automation solutions within AWS manufacturing sites. The individual will work with suppliers to scale automation solutions for hardware platforms, establish manufacturing standards, and improve cost and cycle time. The role requires strong leadership, influencing skills, and technical depth in manufacturing automation and robotics. | — | 0 |
| Software Development Engineer II, Amazon MSK Software Development Engineer II for Amazon MSK (Managed Streaming for Apache Kafka) team, focusing on designing, building, and operating large-scale distributed systems for the MSK Control Plane. This role involves working on infrastructure-level software that provisions and manages compute, impacting millions of customers running containerized workloads. The role requires end-to-end feature delivery, technical design ownership, and driving engineering and operational excellence. | — | 0 |
| Consultant – Modernisation des applications | Consultant - Application Modernization, Services professionnels pour le secteur public | Public Sector Professional Services This role focuses on modernizing applications for public sector clients using AWS cloud services, including techniques accelerated by Generative AI. The consultant will design, develop, and implement cloud solutions, provide technical guidance, and advise clients on industry trends and emerging technologies. The role involves migrating applications, decomposing monoliths into microservices and serverless architectures, and modernizing databases and technology stacks. | — | 0 |
| Associate Solutions Architect This role focuses on helping customers build infrastructures and applications at scale using AWS solutions. The Associate Solutions Architect will receive AWS technical training, learn cloud computing concepts, and develop business acumen. Responsibilities include understanding customer requirements, designing cloud architecture solutions, supporting pre-sales activities, and delivering technical presentations and workshops. | — | 0 |
| Design Verification Engineer, Annapurna Labs Design Verification Engineer for Amazon's custom silicon organization, focusing on hardware solutions for AWS data centers, specifically machine learning accelerators like AWS Inferentia and Trainium. The role involves verifying high-speed I/O and scale-up/out components at the sub-system/chip level, developing verification environments, and ensuring thorough coverage of hardware-software interfaces. | — | 0 |
| Senior Delivery Consultant - Data Analytics, AWS Professional Services This role is for a Senior Delivery Consultant at AWS Professional Services, focused on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through their cloud journey, and act as a trusted advisor on industry trends and emerging technologies. The role involves collaborating with stakeholders, gathering requirements, proposing migration strategies, and ensuring successful project delivery with optimized performance and managed risks. While the role mentions 'machine learning' and 'serverless technologies' in the preferred qualifications, the core responsibilities are centered around general AWS solution architecture and delivery, not direct AI/ML model development or deployment. | — | 0 |
| Sr. Delivery Consultant, WWPS ProServe US Federal Civilian - DOE This role is for a Sr. Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, provide technical expertise, and guide customers through their cloud journey. Responsibilities include architecting solutions, proposing migration strategies, acting as a trusted advisor on industry trends and emerging technologies, and leading the implementation process. The role requires a TS/SCI security clearance and experience in software development lifecycle, cloud migrations, and project management. | — | 0 |
| Senior Manager, Manufacturing Operations, AWS Infrastructure Services Supply Chain Senior Manager, Manufacturing Operations for AWS Infrastructure Services Supply Chain, leading final assembly and test (FA&T) operations for enterprise-class hardware products including servers, storage systems, network equipment, and ML/AI accelerator platforms. Owns end-to-end manufacturing operations strategy and execution, driving quality, throughput, cost efficiency, and on-time delivery at scale across a multi-site manufacturing network. Focuses on production readiness, lean manufacturing, test engineering, quality operations, operational leadership, team development, supply chain partnerships, and data-driven decision making. | — | 0 |
| Business Intelligence Engineer, II, Amazon FinAuto - GREF Tech This role is for a Business Intelligence Engineer II on the Global Real Estate and Facilities (GREF) Technology team at Amazon. The primary focus is on building advanced business intelligence and analytics solutions, including dashboards and reports, using tools like Amazon QuickSight. The role involves data modeling, ETL pipeline development, and leveraging advanced analytics techniques such as statistical analysis, predictive modeling, and machine learning to derive actionable insights from data. While the role mentions evaluating GenAI tools, its core function is in business intelligence and data analytics, not in building or deploying AI models. | — | 0 |
| Senior Supply Chain Manager, North America Destination Operations This role focuses on optimizing the end-to-end supply chain strategy for international freight into Canada, driving lead time reduction, cost optimization, and network reliability. It involves defining import logistics strategy, influencing carrier performance, managing exceptions, and partnering with various internal teams and external providers. The role requires experience in data analysis, supply chain management, and international freight operations. | — | 0 |
| Software Development Engineer, Nitro Card, Annapurna Labs Software Development Engineer role at Amazon's Annapurna Labs, focusing on designing and developing custom silicon and software for AWS Nitro instances. The role involves hands-on development of Linux services, drivers, applications, and Nitro card integration, with potential for team leadership. Requires experience in embedded firmware development with C/C++ and Linux kernel. | — | 0 |
| Sr. Engagement Manager, Professional Services, Korea This role is for a Senior Engagement Manager at Amazon Web Services (AWS) Professional Services in Korea. The primary focus is on leading the delivery of complex cloud solution projects, bridging business requirements with technical solutions, and managing technical risks. While AWS services include machine learning, this role is centered on program and project management of cloud implementations, not on building or directly shipping AI/ML models or systems. | — | 0 |