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 |
|---|---|---|
| Language Engineer, Artificial General Intelligence - Data Services Language Engineer role focused on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets for AI/ML systems. Collaborates with PMs, engineers, and data scientists to align AI systems with human policies and preferences. Involves designing data collection tasks, analyzing data insights, building data analysis/authoring tools, using modeling tools, and evaluating language model performance. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop collections. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. | Data |
| 7 |
| Language Engineer, Artificial General Intelligence - Data Services Language Engineer role focused on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets for AI/ML systems, working with cross-functional teams to align AI with human policies. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, creating tasks, analyzing data, building tools, and collaborating with cross-functional teams to advance AI model evaluation and training. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. The Language Engineer will design data collections, analyze data, build tools for data analysis and creation, and collaborate on evaluating AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 7 |
| Applied Scientist, Artificial General Intelligence - Data Services Applied Scientist role focused on dataset construction, training, and evaluating speech/language/other data for generative AI and LLMs at Amazon. Requires strong technical skills in NLP and ML, with experience in data sourcing, ground truth generation, normalization, and model building. | DataPost-train | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. | Data | 7 |
| Senior Analytics Solutions Architect Senior Solutions Architect specializing in analytics, big data, search, and streaming, focusing on designing and building agent-ready data platforms that leverage generative AI and AI agents for autonomous data analysis and decision-making. The role involves providing best practices, designing reference architectures, and contributing to service roadmaps. | AgentData | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI/ML solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions, focusing on use cases like predictive maintenance and yield optimization. Experience with generative AI architectures, RAG, fine-tuning, and AI agents is preferred. | AgentData | 7 |
| Applied Scientist, Books Reading & Discovery Experiences Applied Scientist II role focused on enhancing book reading and discovery experiences at Amazon by building models and/or agentic systems. Responsibilities include research, design, implementation, and delivery of novel solutions, collaborating with cross-functional teams, and writing production-ready code. Requires experience in programming languages and SQL, with a preference for publications at top-tier conferences. | Agent | 7 |
| Sr. BIE, AWS Specialists and Partners Operations This role focuses on building agentic reporting solutions that go beyond static dashboards, creating intelligent data artifacts that surface actionable insights autonomously. The engineer will work with business stakeholders to understand their needs and engineer reporting workloads that answer questions proactively and at scale, applying Generative AI and agentic AI patterns to enhance reporting automation and insight generation. | Agent | 7 |
| Senior Software Engineer, Fauna Senior Software Engineer role focused on driving technical strategy and architecture for robotic software systems, including perception, navigation, motor control, reasoning, and human-robot interaction. The role involves end-to-end delivery of complex systems, leading collaboration across research and ML teams, defining technical roadmaps, and developing production-level SDKs. The team is building robots for everyday life, aiming to make robotics development more accessible and intuitive. | Agent | 7 |
| Senior Software Engineer, Fauna Senior Software Engineer role focused on driving technical strategy and architecture for robotic software systems, including perception, navigation, motor control, reasoning, and human-robot interaction. The role involves end-to-end delivery of complex systems, collaboration across research, ML, hardware, and operations, and defining technical roadmaps for production-level SDKs. The team is building capable, safe, and delightful robots for everyday life, aiming to make robotics development more accessible. | Agent | 7 |
| Senior Partner Solutions Architect, SAP Innovation GTM, APJ, AWS Partner Field APJ This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on generative AI and agentic systems. The individual will architect and deliver solutions, proofs of concept, and reference architectures, combining AWS services with SAP technologies. They will leverage deep AI/ML and SAP functional expertise to solve complex customer problems and build partner capabilities. The role involves engaging with C-suite executives and technical practitioners to drive business-value-led conversations and influence the AWS product roadmap. | Agent | 7 |
| Data Scientist, Amazon Music - DISCO Data Scientist role at Amazon Music focused on building and deploying models for personalized recommendations and customer engagement. The role involves leading research and development of science products, partnering with product and engineering teams, and analyzing experimental results to optimize solutions. It requires experience in data querying, scripting, machine learning, and guiding researchers, with a focus on applying theoretical models in an applied environment. | AgentServe | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect focused on helping GovTech ISVs build and scale generative AI and agentic systems on AWS, with a strong emphasis on regulated environments. The role involves guiding technical strategy, architecture, and productionization of AI prototypes into robust, scalable applications. | Agent | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that use generative AI and LLMs to personalize product discovery and recommendations for customers at Amazon scale. Emphasis on end-to-end ownership, scalability, reliability, and collaboration with product and science teams. | ShipAgent | 7 |
| Senior Technical Program Manager - GenAI and Strategic Initiatives, Field Engineering Senior Technical Program Manager to drive organizational effectiveness through hands-on development of AI-powered tools, automation, and knowledge systems for the Field Engineering team within AWS Infrastructure Services. The role focuses on leveraging generative AI technologies, including Amazon QuickSight, to streamline processes, enhance engineering analysis, and accelerate availability solutions. | Agent | 7 |
| Architecte IA/ML | AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services AWS Professional Services is seeking an AI/ML Architect to help Canadian Public Sector clients adopt and implement ML and Generative AI solutions. The role involves understanding business challenges, designing and building ML/GenAI solutions using AWS services, and collaborating with engineering teams to bring them to production. | AgentServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AI/ML and Generative AI solutions for enterprise customers. The consultant will work with customers to understand business needs, prepare data, develop and deploy models, and ensure solutions are scalable, secure, and performant using AWS services and MLOps best practices. The role involves acting as a trusted advisor, collaborating with cross-functional teams, and sharing knowledge. | ShipServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services Healthcare Life Science Delivery Consultant for AWS Professional Services focused on AI/ML and GenAI solutions in the Healthcare and Life Sciences sector. Responsibilities include end-to-end project implementation, designing ML pipelines and MLOps, collaborating with cross-functional teams, and advising customers on AI/ML strategies using AWS services. | ShipServe | 7 |
| Applied Scientist I (OR), SCOT FO - FPX Science This role focuses on designing, developing, and evaluating innovative optimization and machine learning models for Amazon's outbound transportation planning and execution systems. The scientist will work with large-scale data and distributed computing on the cloud to optimize inventory and shipments, reduce transportation costs, and improve customer experience. Collaboration with product managers and software engineers is key to building and integrating these solutions into production systems. | Agent | 7 |
| Applied Scientist I, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT) Applied Scientist role focused on developing and deploying optimization, simulation, and machine learning solutions for Amazon's Fulfillment Network. The role involves understanding operational processes, developing mathematical models, creating prototypes, partnering with engineers for production integration, and designing experiments to test solutions. The team has expertise in operations research, optimization, scheduling, planning, simulation, and machine learning. | Ship | 7 |
| Data Scientist II, PXT Central Science Data Scientist II role focused on applying statistical, machine learning, or GenAI methodologies to enhance employee experience within Amazon's People Experience and Technology organization. The role involves designing, developing, and maintaining scalable models and prototypes, partnering with cross-functional teams, and communicating results to diverse audiences. | Ship | 7 |
| Machine Learning Engineer, Amazon Tablets ML Engineer role focused on building and deploying AI/ML products for Amazon Tablets, specifically enhancing customer engagement through personalized recommendations and content ranking. The role involves end-to-end ML pipeline development, MLOps, and leveraging deep learning, LLMs, and generative AI for on-device experiences. It emphasizes shipping customer-facing ML solutions at Amazon scale. | ShipServe | 7 |
| Applied Scientist, Last Mile Applied Scientist role focused on developing and optimizing delivery capacity in Amazon's Last Mile network. Requires strong skills in Operations Research or Machine Learning, building ML models, developing algorithms for business applications, and optimizing system policies. The role involves turning business requirements into mathematical models, contributing to production systems, and analyzing data. | Agent | 7 |
| Applied Scientist, Last Mile Applied Scientist role focused on developing and optimizing delivery capacity in Amazon's Last Mile network. Requires strong skills in Operations Research or Machine Learning, building ML models, developing algorithms for business applications, and optimizing system policies. The role involves turning business requirements into mathematical models, contributing to production systems, and analyzing data. | Agent | 7 |
| Data Scientist II, PXT Central Science Data Scientist II role focused on applying statistical, machine learning, and GenAI methodologies to enhance employee experience within Amazon's People Experience and Technology organization. The role involves designing, developing, and maintaining scalable models and prototypes, partnering with cross-functional teams, and creating benchmarks for GenAI model performance. | Post-trainAgent | 7 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing GenAI and ML solutions for customers. The role involves technical guidance, collaboration with stakeholders, and advising on AI/ML trends and technologies, with a strong emphasis on AWS services. | ServePost-train | 7 |
| AI Specialist SA This role is for an AI Specialist Solutions Architect (SSA) at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, advising on architectures, and advocating for customer needs to influence AWS roadmaps. It requires a strong understanding of production software and LLM deployment, with a focus on translating AI ambitions into scalable, operational programs. | Agent | 7 |
| Software Development Engineer - Prime Video, Linear Personalization Experience Team (LPEX) Software Development Engineer role focused on building and optimizing AI-powered personalization and recommendation systems for Prime Video's Linear TV segment. The role involves designing and implementing high-performance personalization systems, productionizing ML models with Applied Scientists, architecting data pipelines, developing real-time serving infrastructure, and leading A/B testing frameworks. Requires strong software development skills, experience with ML frameworks, SQL, distributed systems, and knowledge of recommendation systems and model serving. | AgentServe | 7 |
| Sr. Software Dev Engineer, Amazon Music Catalog Senior Software Development Engineer role focused on building and scaling GenAI and ML solutions within the Amazon Music Catalog team. The role involves developing, deploying, and optimizing LLMs in production, working with distributed systems and data pipelines, and partnering with Applied Scientists and Product Managers to integrate AI-driven capabilities into catalog systems. | ServePost-train | 7 |
| Data Scientist, Demand Planning and Workforce Intelligence This role focuses on building Generative AI and LLM-powered solutions for forecasting, operational dashboards, and workforce optimization. It involves creating agentic AI systems for natural language querying, root cause analysis, and recommendation engines, utilizing transformer architectures and prompt engineering. | Agent | 7 |
| Software Development Engineer, CreativeX Software Development Engineer (MLE) for the CreativeX RAPID team at Amazon, focusing on real-time ad personalization and insights. The role involves tailoring visual ad experiences using technologies like latent diffusion models, LLMs, RL, and computer vision to provide dynamically optimized creatives with low latencies. Responsibilities include investigating new generative AI technologies, prototyping, evaluating feasibility, building data pipelines, and developing platforms for ML model deployment. | ServePost-train | 7 |
| Machine Learning - Compiler Engineer II, Annapurna Labs The Machine Learning Compiler Engineer II on the AWS Neuron team will support the development and scaling of a compiler for AWS Machine Learning accelerators (Inferentia and Trainium chips). This role involves architecting and implementing features for the AWS Neuron Software Development Kit (SDK), which optimizes neural network models for custom AWS hardware. The engineer will work with ML frameworks like PyTorch and TensorFlow, contributing to a toolchain aimed at improving ML performance. | Serve | 7 |
| Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions Machine Learning Engineer II at Amazon, focusing on Search Engine Technologies and Document Retrieval within the consumer domain. The role involves applying ML models to improve customer experiences in the online retail search application, processing large datasets, and integrating models into production systems at scale. | Ship | 7 |
| Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions Machine Learning Engineer II at Amazon, focusing on Search Engine Technologies and Document Retrieval within the consumer domain. The role involves applying ML models to improve customer experiences in the online retail search application, processing large datasets, and integrating models into production systems at scale. | Ship | 7 |
| Applied Scientist II - AMZ27057.1 The Applied Scientist II role at Amazon focuses on the design, development, evaluation, deployment, and updating of data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques, routinely building and deploying ML models, and researching novel ML approaches. Mentoring junior scientists is also part of the responsibilities. The basic qualifications require a Master's degree or equivalent with one year of experience, or a Bachelor's degree with five years of experience, in a related field, with specific experience in programming (Java, C++, Python) and developing supervised/unsupervised ML models. | Serve | 7 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. This role involves understanding customer business objectives, architecting scalable AWS solutions for clinical development challenges, and advising on emerging technologies including agentic AI applications. The position requires deep domain knowledge of the pharmaceutical sector, including data standards and compliance frameworks, and collaboration with various AWS teams to drive innovation and customer success. | Agent | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |
| Applied Scientist II, Core Search The Amazon Search team is looking for an Applied Scientist II to invent signals and algorithms using LLMs and ML techniques to improve suggestion generation, recommendations, and ranking. This role involves fine-tuning LLMs for real-time suggestion generation, personalizing content, building evaluation frameworks, and designing guardrails for LLM-generated content. The work spans the entire development pipeline, including data analysis, evaluation system design, prototyping, A/B testing, and production systems. | AgentEval Gate | 7 |
| Software Development Engineer, AAIS Software Development Engineer role focused on building applied AI solutions, specifically agentic products, within the AWS Applied AI Solutions organization. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for ML development and serving. | AgentServe | 7 |
| Applied Science Manager, Sponsored Products and Brands -- Offsite Manager for an Applied Science team focused on extending Amazon Ads campaigns beyond the Amazon store using generative AI and machine learning to deliver sponsored experiences in third-party environments. The role involves leading scientists and engineers, shaping product direction, developing roadmaps, and driving advertiser outcomes through ML/GenAI solutions. | Ship | 7 |
| Machine Learning Engineer, Ad Response Prediction Machine Learning Engineer at Amazon Ads focused on Sponsored Products and Brands, re-imagining advertising with generative AI. The role involves designing, coding, and supporting scalable ML pipelines and online serving systems, optimizing ML model performance and infrastructure, and implementing end-to-end solutions. It requires driving technical direction, building and growing teams, and collaborating on product direction. The team operates on a large product catalog with strict latency constraints and works with research scientists to deliver relevant ads. | ServePost-train | 7 |
| Data Scientist, ROW AOP, Analytics Operations and Programs This role focuses on developing and deploying AI/ML products and research models to optimize operations within Amazon's Rest of the World (ROW) region. Responsibilities include analyzing data, developing models using Python/R, creating science-based supply chain solutions, and implementing ML solutions for abuse detection. The role involves working with various teams to deliver high-quality data and science products. | Ship | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. The role involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | Agent | 7 |
| System Development Engineer I, Support Products & Services This role involves designing and developing AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will build scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows. The role also includes developing monitoring, alerting, and automated testing frameworks, troubleshooting complex technical issues, and driving continuous improvement. | Agent | 7 |
| Software Engineer II, SCOT-Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents for supply chain optimization, leveraging generative AI and ML to build intelligent infrastructure. The role involves designing and deploying AI systems/agents, building Gen AI technologies with AWS, and collaborating with cross-functional teams. | Agent | 7 |
| System Development Engineer I, Support Products & Services This role involves building AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will develop scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows. | Agent | 7 |
