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 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 Development Engineer II, FinTech Settlements, Adjustments and Billing Software Development Engineer II role focused on building and maintaining highly scalable financial systems for settlements, adjustments, and billing at Amazon. The role involves designing, developing, and deploying critical platforms using AWS technologies like Java, Lambda, DynamoDB, and Kinesis, with a focus on modernizing legacy systems and ensuring reliability. Responsibilities include full software development lifecycle, architectural decisions, mentoring junior engineers, and operational support. | — | 0 |
| Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs This role is for a Senior Machine Learning Acceleration Design Verification Engineer focused on custom silicon (SOCs) for AI workloads. The engineer will be responsible for verifying these chip designs, integrating IPs, creating testplans, writing testcases, maintaining regression infrastructure, and debugging issues. The role involves working with ML accelerator designs and requires experience with System Verilog and UVM. | — |
| 0 |
| Senior WiFi Test Engineer, eero Senior WiFi Test Engineer role focused on developing test plans, implementing test cases, supporting automation, and troubleshooting issues for eero's WiFi products. Requires extensive experience in quality assurance, WiFi protocols, RF lab equipment, and scripting. | — | 0 |
| Software Support Engineer, AFT Quality This role provides technical support and maintenance for computer vision systems within Amazon's fulfillment network. It involves troubleshooting, software deployment, developing operational tools, and automating processes to ensure system uptime and efficiency. While the systems use computer vision, the role itself is focused on support and engineering operations rather than core AI/ML model development or research. | — | 0 |
| Senior SDE, S3 Request Processing Senior Software Development Engineer role in Amazon S3 Request Processing, focusing on building and enhancing services for processing customer request metadata, logging, and eventing solutions. The role involves using distributed micro-services architectures and machine learning techniques to analyze requests at scale. | — | 0 |
| Associate DevOps Analyst This role is an Associate DevOps Analyst position within Amazon Web Services (AWS) Region Services team in Sydney, Australia. The primary focus is on supporting and operating AWS services in highly secure, scalable environments, particularly for sensitive workloads. Responsibilities include defining, building, owning, and running services, solving problems in massive-scale areas, learning to build and operate distributed systems, and building/influencing tools for internal services. The role involves supporting activities for these services, working with development teams, driving issues to resolution, understanding business logic and architecture, creating and improving support documentation, performing code builds and deployments, and interpreting metrics. The team provides 'hands on keyboard' support by deploying changes, monitoring results, and reporting issues. Basic qualifications include experience with Linux/Unix, production support procedures, and troubleshooting. Preferred qualifications include CI/CD, networking fundamentals, scripting, and documentation tools. | — | 0 |
| Data Quality Specialist - German, AGI Data Services - G T Quality This role focuses on data quality within Amazon's AGI Data Services, ensuring comprehensive quality frameworks and optimizing workflows. Responsibilities include defining quality metrics, creating actions for issues, partnering with teams, analyzing data trends, monitoring performance, handling escalations, and suggesting improvements for quality tools. While the company is investing in generative AI and LLMs, this specific role is centered on data quality assurance and process optimization, not direct AI/ML model development or research. | — | 0 |
| Delivery Consultant - Data Architect, AWS Professional Services This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AWS Data & Analytics solutions for customers. The consultant will lead project teams, provide technical expertise, gather requirements, propose migration strategies, and act as a trusted advisor on cloud technologies and industry trends. The role involves hands-on development and ensuring solutions meet technical and business objectives. | — | 0 |
| SDE II, AWS Marketplace Software Development Engineer II for AWS Marketplace, focusing on end-to-end go-to-market strategy, business and technical expertise, and customer success. The role involves owning significant product portions, influencing strategy, and working on complex system software from front-end to platform services. Experience with asynchronous workflow, big-data, and AWS technologies is a plus. | — | 0 |
| Signal/Power Integrity Eng, Annapurna Labs This role is for a Signal/Power Integrity Engineer at Amazon's Annapurna Labs, focusing on the design and validation of AWS next-generation machine learning ASICs. The engineer will work on SI/PI topics, advanced packaging, PCB design, and power delivery systems, using simulation tools like Hspice, Cadence, and HFSS. The role requires expertise in high-speed digital design and collaboration across teams to ensure product quality. | — | 0 |
| ERP Solution Architect, Amazon Robotics Business Applications and Solutions Engineering This role is for an ERP Solution Architect focused on designing and implementing SAP solutions, with a mention of integrating with Generative/Agentic AI and data/analytics domains. The core function is ERP architecture and implementation, not direct AI/ML model development. | — | 0 |
| SoC Platform Software Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS Engineering Manager for a SoC Platform Software team at AWS, focusing on the Hardware Abstraction Layer (HAL) for ML accelerator chips (Trainium and Inferentia). The role involves managing a team of engineers to develop and maintain a single C++ codebase that compiles and runs across three different execution environments: chip verification, system emulation, and production microcontrollers. The team's work enables ML training across clusters of accelerators, but the role itself does not require ML expertise, focusing instead on platform software, hardware-software interaction, and API design. | — | 0 |
| Fraud Risk Analyst, Credit Strategy & Operations - Pay by Invoice This role focuses on fraud risk analysis and mitigation within Amazon's B2B Payments & Lending division. The analyst will conduct investigations, use data to identify risk patterns, and manage projects to improve operational efficiency. The role requires strong analytical skills, judgment, and experience with fraud-related systems and data analysis, including SQL and Python. | — | 0 |
| Technical Account Manager, ES-EMEA-SMB AWS Technical Account Manager (TAM) role focused on guiding enterprise customers in adopting and optimizing AWS cloud services. The role involves acting as a trusted advisor, providing strategic technical guidance, ensuring operational health of cloud environments, and building strong customer relationships. It requires experience in cloud operations, technical engineering, and understanding customer business needs to drive value from AWS. | — | 0 |
| Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights Senior Technical Program Manager (TPM) to lead complex, cross-functional programs for Amazon's WW Promotions team. The role involves collaborating with engineering, machine learning, data governance, and business teams to transform promotional data into actionable insights. Responsibilities include owning program development and delivery, leading planning and execution, communicating technical delivery to senior leadership, supporting sprint planning and roadmapping, identifying automation opportunities, and defining strategy with global stakeholders. | — | 0 |
| Delivery Consultant, WWPS ProServe This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and technical guidance. The role requires a strong understanding of AWS services and the ability to act as a trusted advisor to clients. A TS/SCI security clearance with polygraph is mandatory. | — | 0 |
| Senior Business Intelligence Engineer, AOP This role is for a Senior Business Intelligence Engineer focused on providing analytical capabilities and robust reporting frameworks for operations within Amazon's IN-ECCF regions. The engineer will conduct deep-dive analyses, unearth insights from data, and collaborate with stakeholders to drive process excellence. The role requires strong statistical knowledge, analytical abilities, business intelligence solutions experience, and data engineering practices. | — | 0 |
| Software Development Engineer - II, Amazon Software Development Engineer II role at Amazon focusing on building and maintaining global payments products and solutions. The role involves designing and developing next-generation payment systems, managing a financial services ad serving platform, and contributing to a merchandising automation platform powered by machine learning for financial products. Responsibilities include backend service development, API design, system optimization, and ensuring production system health. | — | 0 |
| Sr. Software Development Engineer, WW Returns & ReComm Tech Software Development Engineer role focused on building scalable, distributed real-time systems for product sustainability and customer experience within Amazon's Returns team. Emphasizes core software engineering principles, distributed systems, and object-oriented design. | — | 0 |
| Sr. System Development Engineer, Global Engineering This role is for a Sr. System Development Engineer focused on the Global Engineering team within Amazon's fulfillment centers. The primary responsibility is to vet and test robotics and automated systems before large-scale deployment, using methodologies like test-to-fail, discrete event modeling, and site integration testing. The role involves designing and leading experiments, rapid prototyping, data analysis, and developing lab infrastructure to ensure automated systems meet performance targets. While ML and robotics are mentioned as technologies used in the broader context, the core of this role is in system development, engineering, and validation of these systems, rather than direct AI/ML model development or deployment. | — | 0 |
| Senior UCIe PHY Expert, MLA Technology This role is for a Senior UCIe PHY Expert to work on the design, integration, validation, and data center operation of AWS's next-generation machine learning silicon and servers. The focus is on hardware/software co-design for ML accelerators, specifically involving UCIe, SERDES, and high-speed analog technologies to create stable ML platforms. Responsibilities include collaborating with architects and software engineers, supporting debug and operations of ML chips, diving deep into IP integration and silicon bring-up, and developing scripts for daily tasks. The role also involves operational excellence, identifying and prototyping solutions, leading data collection, and mentoring team members. | — | 0 |
| Sr. Camera Architect, Hardware-Technology & Archit This role is for a Sr. Camera Architect at Amazon Lab126, focusing on designing complete camera solutions for next-generation consumer electronics. The architect will own end-to-end camera system design, including sensor selection, optics, illumination, and ISP integration, working at the intersection of hardware, algorithms, and user experience. Collaboration with cross-functional teams like computer vision and machine learning is expected, but the core focus is on hardware architecture and system design rather than AI model development. | — | 0 |
| Technical Program Manager, Amazon Application Security Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, create business proposals and metrics, manage program risk, and foster a positive work environment. | — | 0 |
| Sr. Software Engineer, EC2 VPC Senior Software Engineer role focused on the design and development of new EC2 services for ML and HPC platforms, leading the SDN dataplane stack. The role involves technical leadership, architecture definition, and mentoring within the AWS Utility Computing organization. | — | 0 |
| SoC Firmware Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS Engineering Manager for SoC Firmware on AWS's custom ML accelerator chips (Trainium/Inferentia). The role focuses on the lowest layer of user-space software (HAL) that boots, configures, and manages hardware blocks on the chip. Responsibilities include managing a team, coordinating deliverables, owning bring-up for new chip tape-outs, prioritizing work, driving architecture, and shipping C++ codebase across multiple environments (simulation, emulation, production). The role requires deep expertise in low-level software, embedded systems, and hardware/software interaction, but not necessarily ML background. | — | 0 |
| Software Development Engineer, Ads Data Manager Software Development Engineer role focused on building innovative solutions for Amazon's digital advertising products, working with partners and utilizing AWS, Kotlin, React.js, and Next.js. The role involves handling massive-scale streaming systems, machine learning, and data science to personalize user experiences and enable advertisers. | — | 0 |
| Systems Engineer/Dev Ops Eng, Managed Operations This role is for a Systems Engineer/Dev Ops Engineer within AWS Managed Operations, focusing on building, operating, and evolving services for the European Sovereign Cloud (ESC). The position involves ensuring high availability, reliability, and performance of AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. Responsibilities include overseeing operations, collaborating with global teams, enhancing day-to-day operations, and participating in on-call rotations. The role emphasizes automation, operational excellence, and customer satisfaction within a mature cloud computing environment. | — | 0 |
| Embedded Software Development Engineer II, Baseboard Management Controller This role focuses on developing and operating server-related firmware for AWS infrastructure, specifically for AI training and inference workloads. The engineer will work on Baseboard Management Controller (BMC) software, scripting, data center operations support, and Linux driver development, contributing to the backbone of AWS's Generative AI cloud offerings. | — | 0 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers This role focuses on the hardware engineering for AWS cloud servers, specifically those designed for AI/ML and HPC workloads. The engineer will be responsible for the design, development, testing, and operation of accelerated server segments, working with interdisciplinary teams and external partners to deliver these products at scale. The role involves understanding customer needs, architecting solutions, and overseeing the fleet's quality and performance post-launch. | — | 0 |
| Software Development Engineer, Chronicle Analytics Software Development Engineer role focused on building sophisticated tools for Amazon's Consumer businesses, supporting deep dive analysis, vendor negotiations, and business planning. The role involves translating requirements into architecture and software solutions, coding, testing, and ensuring system quality, scalability, reliability, and performance. While not core AI development, it involves leveraging and integrating generative AI tools to enhance workflow and products. | — | 0 |
| Delivery Consultant - Data, Public Sector Professional Services - UK This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves technical expertise in AWS services, data lake architecture, ETL/ELT pipelines, and data warehousing. | — | 0 |
| Software Development Manager, Amazon Payment Products Software Development Manager for Amazon's Payment Products team, focusing on co-branded and private label credit cards. The role involves leading a team of engineers, strategic planning, project management, and ensuring the delivery of innovative payment solutions. The team works on high-impact projects across the customer lifecycle, including AI-Native development, and collaborates with internal and external partners. | — | 0 |
| Sr. Data Engineer, WW Standardization & Automation Seeking a Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have trust in the data, technology, and tools to make data-driven business decisions. The role involves designing, implementing, and supporting scalable data infrastructure solutions and complex data models, integrating with various data sources, and curating data for reporting, analysis, and machine learning models. Responsibilities include building data pipelines and data-sets using Python, Airflow, and SQL, automating deployments with AWS tools, and working with AWS services like Redshift, Glue, and S3. | — | 0 |
| Delivery Consultant - Migrations, Public Sector Professional Services - UK This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services in the UK. The consultant will work with customers to design, implement, and manage AWS solutions, focusing on cloud migration strategies and providing technical guidance throughout the project lifecycle. The role requires expertise in AWS services, cloud infrastructure assessment, and migration tooling, with a strong emphasis on customer advisory and project delivery. | — | 0 |
| Controls Engineer, APAC Controls Deployment & Service This role involves deploying and servicing data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS), to ensure the health and efficiency of AWS data centers. Responsibilities include overseeing new deployments, upgrading existing systems, providing local servicing expertise, and collaborating with various internal teams and external vendors. | — | 0 |
| Business Analyst, Sourcing Performance Operations This role focuses on analyzing large datasets to solve business problems, create reporting solutions, and drive operational enhancements within Amazon's Sourcing Performance Operations. It involves retrieving and analyzing data using SQL and other tools, monitoring and creating metrics, and supporting cross-functional teams. | — | 0 |
| Data Engineer II, Intelligence Data Services, Amazon Leo Data Engineer II role focused on building and maintaining an enterprise-grade data platform using AWS services, combining data lake and mesh architectures. Responsibilities include data modeling, ETL pipeline development, data governance, and supporting analytics and machine learning use cases for the Amazon Leo satellite broadband network. | — | 0 |
| Software Development Engineer II, FinTech, FinTech Software Development Engineer II role in Amazon FinTech Treasury, focused on building a next-generation, horizontally scalable platform for managing financial transactions and identifying anomalies using machine learning. The role involves architecture, design, implementation, and deployment of large-scale big data applications, with an emphasis on building from scratch. | — | 0 |
| Sr. Delivery Consultant, WWPS ProServe This role is for a Sr. Delivery Consultant at AWS ProServe, focusing on helping customers design, implement, and manage AWS solutions to achieve their business outcomes. It requires strong software/systems engineering, coding, automation, and design/architecture skills, with a focus on enterprise cloud adoption and migration strategies. The role involves acting as a trusted advisor and collaborating with stakeholders throughout the project lifecycle. | — | 0 |
| Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Software Engineer to build and own virtual platforms (full-system C++ and SystemC models) for custom ML accelerator chips (Trainium and Inferentia), enabling software development before silicon availability. Role involves modeling subsystems, improving infrastructure, and supporting software teams. | — | 0 |
| Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS This role focuses on building and owning C++ models of custom System-on-Chips (SoCs) for AWS's machine learning accelerators (Trainium and Inferentia). The models are used by RTL designers, verification engineers, and software teams throughout the silicon development lifecycle, impacting chip design, verification, and production. The role involves translating architecture specs into C++ models, validating against RTL, developing test infrastructure, and contributing to performance modeling. While the chips are for ML accelerators, the core craft of this role is hardware modeling and verification, not direct AI/ML model development or research. | — | 0 |
| SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs). The engineer will work on SoC models, debug hardware/software interactions, and build tooling to support chip development and validation. While the chips are for ML, the role itself is systems software engineering, not ML model development. | — | 0 |
| Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware This role is for a Sr. Lab Engineer at Amazon's Annapurna Labs, focusing on managing lab activities, improving lab automation, and providing technical support for machine learning hardware and software engineering teams. The role involves lab setup, maintenance, vendor management, and supporting product development projects, including AWS server integration. It requires strong problem-solving, organizational, and communication skills, with an emphasis on hands-on work and independent project delivery in a fast-paced environment. | — | 0 |
| Senior ASIC Design Infrastructure & Methodologies engineer, MLA-MI - Annapurna Labs This role focuses on designing and developing SOCs for AI workloads, specifically by automating design flows and building large-scale solutions to accelerate silicon development. The engineer will enhance and build design flows, collaborate with architects and designers, and evaluate/qualify new design tools. | — | 0 |
| Sr Business Intelligence Engineer, AWS GDSP A&I This role focuses on Business Intelligence and Data Analytics within AWS Private Pricing. The engineer will be responsible for performance reporting, providing actionable insights, building analytical and forecasting models, creating dashboards, and driving automation to support business goals. The role involves collaborating with sales, finance, and other teams to identify reporting gaps and implement solutions, as well as executing complex ad-hoc analyses and architecting new processes. While the role mentions experience with data science and machine learning, its primary focus is on BI and analytics to support business operations, not on building or shipping AI/ML models as the core deliverable. | — | 0 |
| Package Layout Design Engineer , Annapurna Labs - AI Silicon Packaging This role focuses on the physical design and layout of advanced IC packages for machine learning and data center ASICs. The engineer will execute package layout tasks from floor planning to tape out, working with various teams to meet performance and reliability targets. This involves implementing designs for advanced packaging architectures like 2.5D interposer and 3D-IC, performing routing for high-density interconnects, and collaborating on die-level optimization. The role requires experience with package layout tools and understanding of advanced packaging technologies and design rules. | — | 0 |
| Software Development Engineer III — Neuron Containers, Neuron Containers, Annapurna Labs Software Development Engineer III role focused on designing and leading the development of container platform integrations for ML accelerator resource management, including device plugins, DRA drivers, and operator development. The role involves solving scalability challenges, simplifying systems by deprecating legacy software, driving operational excellence, and elevating team quality through code reviews and contributions. The team enables customers to run training and inference workloads on Neuron at scale, owning integrations with Kubernetes, ECS, and Slurm. | — | 0 |
| Sr BIE This role focuses on enterprise analytics solutions, data migration, and building BI solutions using AWS technologies like QuickSight. It involves data extraction, transformation, cleaning, ETL processes, data modeling, and automation using SQL and Python. While it mentions data science and machine learning in passing, the core responsibilities are in Business Intelligence and data engineering, not direct AI/ML model development. | — | 0 |
| Software Development Manager, EC2 Instance Placement Lead a team of Software Development Engineers to build and run the control plane and data streaming systems that drive EC2 instance placement decisions. Create the vision and drive the roadmap for your team, thinking big about how data can be leveraged to improve how EC2 offers compute power to customers. Attract and grow hire-performing engineers for your team. Mentor and coach your team members and foster an inclusive engineering culture. Maintain a high-level of operational excellence. Lead and refine the team’s agile software development process. The successful Software Development Manager has solid technical leadership experience and a proven track-record in managing teams to deliver results. You have a strong software engineering background, with an interest towards optimization, machine learning and data streaming technologies. You demonstrate bias for action to get the right things done and engage thoughtfully with customers and stakeholders to understand their needs. You show excellent judgement in establishing priorities, and can successfully manage implementation in an agile environment. | — | 0 |
| Senior Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Senior Pre-Silicon SoC Modeling Engineer for AWS Machine Learning Accelerators. The role involves building and owning C++ models of custom SoCs (Trainium and Inferentia) used by RTL designers, verification engineers, and software teams. Responsibilities include translating architecture specs into models, validating against RTL, developing model-based test infrastructure, and contributing to performance modeling. The role emphasizes ownership and impact on silicon development, with a clear path into architectural modeling. No ML background is required as the domain knowledge will be learned on the job. | — | 0 |