Currently tracking 1109 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 1575 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 (1022 roles), Canada (59 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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Solutions Architect, AWS Industries India This role is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, leading technical discussions, and understanding customer business challenges. While the role touches upon various AWS services including machine learning and analytics, its core function is not to build or ship AI/ML models but to architect solutions that leverage these services for business outcomes. | — | 5 |
| Software Development Engineer II, EFA Network - Annapurna Labs Software Development Engineer II role focused on the user-space software for Elastic Fabric Adapter (EFA) network cards, crucial for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. The role involves writing high-performance C code for open-source projects, inventing new networking APIs, optimizing for low latency and high bandwidth, and supporting major AI companies. The team is part of Annapurna Labs and focuses on enabling next-generation ML in the cloud. | — |
| 5 |
| Network Development Manager III, Opstech IT Networking Access Technologies This role manages a team responsible for the deployment automation of Wireless and Access networks within Amazon's Operations Technology. The focus is on transforming innovative network designs into production-ready implementations that support a wide range of technologies including robotics, industrial IoT, sensors, drones, and mobile devices. The role involves setting technical vision, driving operational excellence through automation, partnering with internal and external teams for innovation, and establishing engineering metrics for service health and performance. While AI and ML are mentioned as tools to enhance network automation and operations, the core function is network engineering and management, not direct AI/ML model development. | — | 5 |
| Lead Software Development Engineer, Playback Team Lead Software Development Engineer for Audible's Playback team, focusing on core playback logic, services, and audio ad systems. The role involves designing, architecting, and implementing machine learning solutions for audio advertising at scale, optimizing ad serving, and integrating conversational AI. Requires strong software development, system design, and leadership skills. | Agent | 5 |
| Associate Support Engineer, Region Services Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on troubleshooting and resolving technical issues within AWS Region Services, leveraging Linux and distributed systems expertise. The role involves interacting with engineers, providing feedback on services, driving process improvements, and using internal AI systems for problem-solving. Requires experience with Linux, scripting, and distributed systems, with a preference for cloud computing and networking knowledge. A government security clearance is mandatory. | — | 5 |
| Sr. Manager of Colocation, Machine Learning, Data Center Supply Solutions This role manages a team responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation partnerships. It involves managing the lifecycle of ML-focused colocation deals, ensuring operational excellence, contractual compliance, and infrastructure reliability for ML workloads. The role collaborates with various internal teams and external partners to optimize colocation strategies supporting AWS' ML service scaling. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data, detecting anomalies, and preventing fraudulent activity on Amazon's platform by deploying rules and leveraging machine learning systems. It involves working with large datasets, identifying patterns, and collaborating with product managers, scientists, and engineers to maintain customer trust and prevent bad actors. | — | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Sr. BIE, Amazon Global Selling -AIT This role focuses on designing, developing, and maintaining data infrastructure and ETL pipelines to support business intelligence initiatives, with a specific emphasis on implementing AI/LLM-powered solutions for task automation and statistical analysis for business decision-making. The role involves collaborating with cross-functional teams to build AI-ready foundational capabilities within the Global Selling organization. | Data | 5 |
| Sr. Software Engineer, EFA Network ML Software Team - Annapurna Labs This role is for a Sr. Software Engineer on the EFA Network ML Software Team at Amazon. The team owns the user-space software for the Elastic Fabric Adapter (EFA) network card, enabling customers to network thousands of GPU and CPU instances for ML and HPC workloads. The engineer will write high-performance C code for open-source projects, invent new networking APIs, and provide expert support to AI customers. The role involves leading design and architecture, focusing on performance, low latency, and high bandwidth in clustered environments. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Neuron Runtime Software Development Engineer , Neuron Runtime Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership. | Serve | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on using advanced data analysis, including Machine Learning and AI tools, to identify and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, scale findings through technology and analytics, and develop systematic solutions to endemic problems. A key responsibility includes utilizing agentic AI systems to automate workflows and accelerate investigations. | Agent | 5 |
| Senior Applied Scientist, Annapurna ML Senior Applied Scientist to work on AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators (Inferentia, Trainium). Role involves designing, developing, and deploying analyzers for ML compiler stages, architecting business-critical tooling, publishing research, and mentoring. Focus is on compiler technology and deep-learning systems software, with a preference for ML/AI accelerator background. | Serve | 5 |
| Software Development Engineer II, Personalization Software Development Engineer II role focused on building and improving personalization and recommendation features for Amazon's consumer platform, leveraging machine learning and big data technologies. | Ship | 5 |
| Sr. Software Dev. Engineer, Sponsored Products and Brands Senior Software Development Engineer role focused on designing and developing highly scalable distributed systems for Amazon's Sponsored Products and Brands advertising platform. The role involves integrating Generative AI solutions, collaborating with data scientists on machine learning experiments, and implementing end-to-end solutions to improve predictive models and infrastructure within the e-commerce advertising domain. | Ship | 5 |
| Software Development Engineer II, DynamoDB Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation. | Serve | 5 |
| Software Development Engineer Internship - Fall 2026 (Canada) This is an internship role for a Software Development Engineer at Amazon in Canada. The intern will work on designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key responsibility includes leveraging and contributing to GenAI and AI-powered tools to enhance development productivity. The role requires experience with programming languages, data structures, and algorithms, and is for students pursuing a STEM degree with a conferral date after the internship. | — | 5 |
| Software Development Manager, AWS Compliance & Security Assurance, Denied Party Screening Software Development Manager for AWS Compliance & Security Assurance, focusing on Denied Party Screening. The role involves leading teams to build and scale ML/LLM-powered detection and resolution systems to prevent prohibited transactions with denied entities, handling significant daily event volumes and scaling challenges. The manager will define team vision, shape technical strategy, mentor engineers, and ensure operational excellence for these AI/ML systems. | Ship | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale. | Serve | 5 |
| Software Development Engineer, AWS Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals. | Serve | 5 |
| Principal, Technical Program Mgr., Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) This role is for a Principal Technical Program Manager at Amazon, focusing on brand measurement solutions within Ad Tech and Data Science. The role involves leading the development and delivery of innovative solutions that help advertisers measure, analyze, and optimize their brand-building campaigns. It requires managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, and delivering AI-driven insights to empower advertisers. The position emphasizes program management, technical strategy, cross-functional leadership, and operational excellence in a mature, large-scale environment. | — | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs Senior Software Engineer focused on DevOps for AWS's custom ML chips (Trainium/Inferentia), enabling rapid software development for AI training and inference. The role owns CI/CD pipelines, release processes, and hardware-in-the-loop testing infrastructure to ensure timely and quality software delivery for silicon development. | — | 5 |
| Sr TPM, Amazon Supply Chain Senior Technical Program Manager to define, own, and drive technical programs for GenAI/Agentic AI solutions within AWS Applied AI Solutions, focusing on supply chain operations. The role involves partnering with product management and technical leadership to identify opportunities, influence strategy, and align roadmaps across engineering and science teams. | Agent | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS SDE Centralized Team This is a general Software Development Engineer (SDE) role within AWS that can be considered for various teams, including those focused on AI/ML. While AI/ML is mentioned as a potential specialization, the core responsibilities are for a general SDE, focusing on designing, developing, and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role emphasizes core software engineering principles and does not appear to be directly building or shipping AI models as its primary function. | — | 5 |
| Catalog Specialist II - German , WWRR Science Annotation Team This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data to optimize model performance within the consumer domain. | Data | 5 |
| Software Engineer - ML and Distributed Systems, Amazon Personalize Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting continuous price-performance improvements for large-scale LLM training and inference. The candidate will work across the full technical stack from baremetal server hardware to userland software, acting as a technical leader and systems debugger. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure. | Serve | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Sr. Security Services SA, AWS Security Services SA - North America This role is for a Senior Solutions Architect on a new AWS Security Services team focused on driving customer adoption of AWS security services, particularly for generative AI and agentic architectures. The role involves owning the technical relationship with enterprise customers, architecting secure solutions, and providing feedback to product teams. It is a founding role on a new team, requiring the individual to help define processes and playbooks. | — | 5 |
| Global Retirement Risk Manager, Global Retirement and Investments Team (GRIT) This role is for a Global Retirement Risk Manager at Amazon, focusing on identifying, assessing, mitigating, and monitoring risks within the company's global retirement programs. The individual will develop risk management strategies, frameworks, and governance structures, implement monitoring mechanisms, and manage risk reporting. While the core role is risk management, it involves using AI-powered analytics tools and generative AI applications for tasks like risk monitoring, predictive modeling, and dashboard development, making it AI-adjacent. | — | 5 |
| Software Development Manager, AWS Agentic AI Software Development Manager for AWS QuickSuite, a new Generative AI application for enterprises. The role involves leading a team of engineers to define, develop, and ship AI software, collaborating with scientists and product managers, and ensuring operational excellence. | Agent | 5 |
| Data Engineer, PXT Central Science Data Engineer on the PXT Central Science team, responsible for enhancing data architecture, building features, developing end-to-end data engineering solutions for analytical problems, and collaborating with scientists and engineers. Focuses on data pipeline development, model productionization, API development, data integration, and quality checks within an AWS environment. | Serve | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect for AWS Global Sales, focusing on driving adoption of AWS cloud services, including Generative AI and intelligent automation, for enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, making recommendations on cloud architecture, and educating customers on AWS technologies and new possibilities with services like Amazon Bedrock and Agentic AI architectures. The role also involves creating and sharing best practices and technical content. | — | 5 |
| Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ AWS Professional Services Cloud Architect in Australia focused on Public Sector customers, specializing in pre-sales and solution design for Agentic AI and Generative AI. The role involves understanding customer requirements, architecting cloud solutions, developing proof-of-concepts, and acting as a trusted advisor on emerging technologies. | Agent | 5 |
| Embedded Software Engineer, Server Control Firmware Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software. The role involves hardware/software co-design, device drivers, control systems, and automation for server infrastructure that supports ML workloads, but does not involve developing ML algorithms directly. | — | 5 |
| Software Development Engineer (Java&AWS), Ring Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services. | — | 5 |
| Solutions Architect, Solutions Architecture, UK Solutions Architect for AWS in the UK, focusing on the Travel and Hospitality industry. This role involves working with customers to understand their needs, provide technical guidance on AWS technologies, drive innovation, and manage the technical relationship. The Solutions Architect will also act as the voice of the customer internally and create technical content and reference architectures, including for AI/ML use cases. | — | 5 |
| Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS This role is for a Senior Technical Account Manager (TAM) at AWS Enterprise Support, focusing on Healthcare and Life Sciences (HCLS) customers. The TAM will act as a trusted advisor, helping organizations leverage cloud and Generative AI for drug discovery, clinical operations, and patient outcomes. Responsibilities include crafting strategic support plans, guiding customers on AI/Gen AI adoption using AWS services like Bedrock and SageMaker, navigating regulated environments (HIPAA, GxP), and providing technical guidance. The role requires influencing technical decision-makers and managing complex, mission-critical workloads. | — | 5 |
| Sr. Business Intelligence Engineer, AWS GDSP A&I This role focuses on Business Intelligence and Data Analytics for Private Pricing Deals within AWS. It involves creating performance reports, providing insights, building analytical models for hypothesis testing and forecasting, and developing self-service dashboards. The role requires strong SQL, Python scripting, and experience with AWS technologies, with a focus on translating business requirements into data-driven solutions. | — | 5 |
| Business Analyst, AMZL ACES , Amazon Logistics, ACES This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools. | — | 5 |
| Support Engineer, IN Amazon Pay Support Engineer role focused on integrating Generative AI and Agentic systems into daily workflows to enhance designs and improve builder productivity. The role involves end-to-end development, technical guidance, and problem resolution within Amazon Pay. | Agent | 5 |
| Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems. | Agent | 5 |
| Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment. | Serve | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains. | Data | 5 |