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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Associate Assurance Solution Architect, AWS Security Assurance Services LLC This role is a customer-facing Assurance Solution Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves translating compliance needs into scalable solutions and demonstrating how AWS services can achieve these objectives. While the role mentions Generative AI and responsible AI practices for productivity augmentation, its core function is not AI/ML model development but rather applying security and compliance expertise to cloud architectures, including those that may utilize AI services. |
| — |
| 5 |
| Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Senior Business Intelligence Engineer role focused on managing and optimizing the cloud infrastructure for AI technologies within Amazon's Alexa division. The role involves owning the BI strategy, designing and implementing dashboards and data models, building data pipelines, defining metrics, and collaborating with engineers to automate analytical processes. The goal is to provide visibility into infrastructure spend, GPU utilization, and identify cost savings, ultimately informing infrastructure investment decisions. | — | 5 |
| Software Development Engineer, Public Sector Customer Engineering Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Sr. Solutions Architect, FedCiv, WWPS SOLUTIONS ARCHITECTS Solutions Architect for US Federal Civilian Government agencies, focusing on implementing AWS solutions involving AI/ML, security, compute, storage, networking, serverless, and analytics. Acts as a subject matter expert on Generative AI/ML, owning technical engagements and defining implementation architectures. Requires strong AWS background, communication skills, and understanding of US Federal Government best practices for cloud solutions. Experience with Generative AI application building and deployment is preferred. | Agent | 5 |
| Software Develpment Engineer II, Physical Stores Payments Software Development Engineer II role focused on building the future of retail payments for Amazon's Physical Stores. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. The team works on innovative payment acceptance, processor integrations, and risk management, shaping the future of retail payments. | Ship | 5 |
| System Architect, Hardware Architecture System Architect role focused on defining hardware and silicon architecture for Amazon's consumer electronics products, including decisions on compute architecture, ML accelerators, and system components. The role involves tracking market trends, defining roadmaps, and collaborating with cross-functional teams throughout the product development lifecycle. | — | 5 |
| Applied Scientist, Last Mile Science The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems. | Ship | 5 |
| Data Engineer, PXT Central Science Data Engineer role focused on building and maintaining data pipelines, feature extraction frameworks, and APIs for productionizing science models within Amazon's People Experience and Technology (PXT) Central Science team. The role involves using AWS services for data processing, model serving, and integration with other engineering teams. | Serve | 5 |
| Software Development Engineer, Player Team Software Development Engineer role focused on designing, architecting, and implementing machine learning solutions for audio ad systems at Audible. The role involves optimizing ad serving pipelines, real-time ad serving, and conversational AI integration, with a focus on scalable systems and customer experience. | Serve | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| AI Design Technologist, Marketing Productivity, Amazon Ads Marketing This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks. | Agent | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Sr. Machine Learning Engineer, Amazon Traffic Engineering This role focuses on building and operating critical infrastructure services for Amazon's retail platform, dealing with massive traffic volumes in real-time using advanced machine learning systems and distributed infrastructure. The core responsibility involves improving operational excellence, performance, and monitoring of these services. | Serve | 5 |
| Software Development Manager, EDM This role is for a Software Development Manager at Amazon, leading a team focused on revolutionizing document management experience using AI-powered solutions and AWS services. The team aims to deliver personalized, efficient, and intelligent document management at scale, combining AWS services with generative AI to anticipate employee needs and connect service teams. | Agent | 5 |
| Senior Solution Architect, Strategic Accounts This role focuses on designing and delivering production-grade AWS architectures that integrate generative AI capabilities, including foundation models and agentic patterns, to solve complex business challenges for enterprise customers. The Solutions Architect acts as a trusted technical advisor, influencing customer technology strategy and driving adoption of AWS AI services. | Agent | 5 |
| Software Dev Engineer II, AWS Builder Acceleration Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams. | Agent | 5 |
| Senior Solutions Architect, Singapore Public Sector Solutions Architecture Team Senior Solutions Architect for AWS Public Sector in Singapore, focusing on designing and implementing cloud-based solutions that meet customer business needs. The role involves collaborating with customers and internal teams to accelerate the adoption of AWS technologies, including AI/ML, microservices, and containers. Key responsibilities include acting as a trusted technical advisor, evangelizing AWS services through presentations and content creation, and shaping product direction based on customer feedback. The role requires strong technical and interpersonal skills, with an emphasis on learning new technologies and conveying business value. | — | 5 |
| Data Engineer II, Supply Chain Analytics This role is for a Back End Data Engineer focused on designing, developing, testing, and deploying Supply Chain Application and Process Automation within AWS Infrastructure Services. The engineer will collaborate with business leaders, BI engineers, and data scientists to architect solutions, identify automation opportunities, and build scalable applications using AWS technologies. A key responsibility is enhancing analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques, and designing data pipelines for ETL/ELT processes. | — | 5 |
| Supply Chain Sr Data Scientist, Supply Chain & Integration Amazon is seeking a Supply Chain Sr. Data Scientist to develop models, tools, and processes for optimizing logistics in Brazil. The role involves continuous improvement projects, developing optimization models for planning and high-demand periods, and automating manual processes. The ideal candidate has strong quantitative skills and experience with complex datasets, focusing on end-to-end supply chain considerations. | — | 5 |
| Data Scientist II - AMZ27028.1 Data Scientist II at Amazon Web Services (AWS) in Houston, TX. This role involves designing and implementing scalable data science approaches, acquiring and analyzing data using SQL/ETL, and building models with statistical and machine learning techniques. The position requires a Master's degree or equivalent experience and proficiency in SQL, R, Python, or MATLAB for model building and data analysis. | Data | 5 |
| Director, AWS Database, Analytics & Storage Solutions Architecture, Database & Analytics GTM Director of AWS Database, Analytics & Storage Solutions Architecture leading a global team to drive technical customer engagement, solution design, and adoption across AWS's data portfolio, with a focus on preparing data for the agentic AI era and leveraging AI/agentic technologies to enhance SA effectiveness. | Agent | 5 |
| Data Scientist III - AMZ9971193 This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and bridging uncertainty in problem definition and solution approaches. | Data | 5 |
| Data Scientist, Prime Video Sports This role focuses on data science for Prime Video Sports, shaping customer discovery and experience through measurement frameworks, experimentation systems, and analytical foundations for Search, Recommendations, and live broadcasts. It involves large-scale experimentation, novel measurement methodologies, and data-driven decisions to address challenges in live, time-sensitive content and customer engagement. | — | 5 |
| Software Engineer II Selection Monitoring, Selection Monitoring This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale. | Data | 5 |
| Software Development Manager - AWS Identity & Access, AWS IAM Identity Center This role is for a Software Development Manager on the AWS Identity team, focusing on secure identity, access, and resource management for AWS customers. The team leverages machine learning and automated reasoning for access control and aims to build scalable, core technologies for authentication and authorization. The role involves managing and growing an engineering team, driving technical design, and delivering high-performing, reliable systems in a cloud computing environment. | — | 5 |
| Business Intelligence Engineer, PXT, AWS Region Services This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting. | Agent | 5 |
| Legal Program Manager This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role. | — | 5 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS This role focuses on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI, for Healthcare and Life Sciences customers on AWS. The Solutions Architect will build prototypes, provide technical guidance, and create reference architectures to accelerate customer adoption of AWS services in the HCLS domain. | Agent | 5 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams. | ShipAgent | 5 |
| Data Scientist II - AMZ27022.1 Data Scientist II role at Amazon Web Services focusing on designing and implementing scalable data science approaches, acquiring data via SQL/ETL, and building statistical and machine learning models using large datasets. The role involves analyzing data, validating models, and implementing them with consideration for computational demands and reliability. | Data | 5 |
| Ontologist, Product Knowledge This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data. | Data | 5 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models. The role requires providing technical guidance, architecting solutions, supporting the adoption of AWS services, and advocating for customer needs with product teams. It also involves creating technical content and presenting at events. | ServePost-train | 5 |
| Senior Solutions Architect, Enterprise FSI, Switzerland Senior Solutions Architect for AWS in Switzerland, focusing on enterprise financial services customers. The role involves leading technical strategy, designing scalable and compliant architectures, and guiding customers in adopting agentic AI workloads, generative AI applications, and intelligent automation. Responsibilities include technical thought leadership, mentoring, and contributing to the AWS knowledge base with best practices and reference architectures for AI/ML implementations and agentic patterns. | Agent | 5 |
| Sr. Technical Program Manager - AI/ML Hardware, Annapurna Labs - Server & Rack Delivery - Trainium Hardware This role is for a Sr. Technical Program Manager focused on AI/ML hardware, specifically server and rack delivery for accelerator silicon like Trainium. The role involves program managing the design, implementation, and integration of new server generations, working with cross-functional teams (hardware, silicon, firmware, software), and ensuring high-quality hardware and software systems for AI/ML workloads. While the hardware supports AI/ML, the core function is program management of hardware development, not direct AI/ML model building or research. | — | 5 |
| Senior Delivery Consultant: Modernisation, AWS Professional Services Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development. | — | 5 |
| Software Development Engineer III, Alexa Smart Home (Level 6), Smart Home Setup Software Development Engineer III (Level 6) for Alexa Smart Home, focusing on designing, developing, testing, and deploying cloud services that streamline connectivity between Alexa-enabled devices and the Alexa Cloud. The role involves leading technical design, architecting scalable services for billions of devices, and contributing to the evolution of Alexa into an intelligent home companion. Experience in leading technical projects, mentoring junior engineers, and working across various components like Alexa skills, voice user interfaces, and IoT devices is expected. The role aims to improve customer experiences in the smart home environment. | — | 5 |
| Software Development Engineer, Ring Software Development Engineer to build cloud services and tools that streamline firmware testing for Ring and Blink device software teams. The role involves integrating these services with firmware teams, including those building agentic workflows, and applying generative AI for test analysis and developer workflows. | Agent | 5 |
| Software Development Engineer II, FGBS Software Development Engineer II role focused on building innovative automated solutions for FinTech customers, leveraging AWS cloud, machine learning algorithms, and distributed systems. The role involves driving architectural decisions, developing distributed services, and ensuring scalability and reliability. | Serve | 5 |
| 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, providing technical leadership, and driving revenue growth by understanding and implementing advanced cloud solutions. While the role touches upon various technologies including machine learning and analytics, its core function is in cloud architecture and solution implementation, not direct AI/ML model development. | — | 5 |
| Data Scientist III, Customer Strategy Data Scientist III role focused on building and deploying machine learning models for customer segmentation, personalization, and optimization in a consumer retail setting. The role involves applying causal inference, LLMs, and advanced optimization techniques to drive evidence-based decisions and improve customer experiences across various channels. Collaboration with engineering for data pipelines and serving infrastructure is key, with a focus on translating analytical results into actionable business strategies. | ShipData | 5 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design to enable machine learning execution. The primary focus is on the low-level software that drives the hardware for ML inference. | Serve | 5 |
| ProServe Cloud Architect, Professional Services - Taiwan This role is for a ProServe Cloud Architect on AWS Professional Services in Taiwan. The architect will design, architect, and implement cloud solutions on AWS for customers, acting as a trusted technical advisor. Key responsibilities include solution architecture, customer engagement, cloud migration, conducting Well-Architected Reviews, technical delivery, advising on emerging technologies like generative AI, and supporting pre-sales efforts. The role requires strong AWS expertise and experience in IT architecture and cloud solutions, with exposure to AI/ML services being a preferred qualification. | — | 5 |
| Senior Solutions Architect - AWS WWPS DOD - Air Force, WWPS SOLUTIONS ARCHITECTS This role is for a Senior Solutions Architect within Amazon's AWS WWPS DOD sector, focusing on the Air Force. The primary responsibility is to help U.S. Department of War customers implement innovative cloud computing solutions using AWS services. The role involves owning technical engagements, defining architectures, responding to RFPs, and acting as a subject matter expert on security. While generative AI is mentioned as a helpful experience area, the core of the role is cloud architecture and consulting for defense clients, not direct AI/ML model development. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling. | Agent | 5 |
| Data Scientist II - AMZ24268.1 Data Scientist II role focused on designing and implementing scalable approaches for business decision-making, involving data acquisition via SQL/ETL, analysis, and building models using various statistical and machine learning techniques. Requires experience with large datasets, SQL scripting, and modeling software like R, Python, or MATLAB. | Data | 5 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions. | — | 5 |
| Software Development Engineer, CreativeX Software Development Engineer role focused on building AI-powered creative tools for advertisers. The role involves full-stack development, designing and implementing scalable services, and leveraging AI throughout the development lifecycle. Requires understanding of AI agent concepts, LLMs, and ML fundamentals. | Agent | 5 |
