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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| Software Development Engineer, Amazon Quick Suite Software Development Engineer role focused on building and optimizing retrieval-augmented generation (RAG) systems for intelligent document processing and search within Amazon Quick Suite. The role involves designing scalable ingestion pipelines for multi-modal content, optimizing system performance, and collaborating on feature delivery, leveraging AWS technologies. | AgentData | 7 |
| Principal Specialist SA, AI Security, AWS WWSO Security Services This role focuses on AI security within AWS, guiding enterprise customers on secure AI architectures, including Bedrock guardrails, agentic identity and access, and AI governance. The specialist will help customers deploy and operationalize AWS AI-powered security services, design security architectures for generative AI and agentic workloads, and develop the AI security practice across the AWS field community. Responsibilities include creating training, enablement content, reference architectures, and collaborating with service teams and partners to address complex AI security challenges. |
| Agent |
| 7 |
| Applied Scientist, Full-funnel Agentic Intelligence and Models Applied Scientist role focused on developing core models for Full-funnel Agentic Intelligence and Models within Amazon Advertising. The role involves understanding shopping journeys across ad products and publishers, and partnering with engineers and product managers to productize the work. Requires experience in building models for business applications and a strong publication or patent record. | Post-train | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Software Development Engineer II role focused on building the platform and infrastructure for AI agents and skills within Amazon's builder experience. The role involves designing scalable services, developing APIs for agent access to internal resources, and creating systems for measuring agent quality and improvement. | Agent | 7 |
| Senior Manager, Applied Science, Prime Video - Content Generation Team Senior Manager role focused on leading applied science teams in developing state-of-the-art generative AI, graphics, audio, and computer vision research for Prime Video's content generation. The role involves creating research roadmaps, recruiting and developing talent, and applying ML/NLP/IR knowledge to business applications. Requires significant experience in applied research, management, and building ML models. | Ship | 7 |
| Data Engineer II, AAE Data Engineer II, AAE at Amazon AWS AI Services. This role focuses on building data platforms and intelligence infrastructure for AI services, including agentic AI. Responsibilities include designing and building end-to-end data platforms, ETL/ELT pipelines, agentic data workflows for automated reporting and insights, and executive dashboards. The role emphasizes data accuracy for revenue and financial reporting, and collaboration with various teams. It operates at the intersection of data engineering and agentic AI, supporting S-Team level visibility into AI revenue, adoption, and growth. | DataAgent | 7 |
| Sr. Developer Experience Engineer, Kiro This role focuses on developer experience for an agentic AI system called Kiro, which helps developers build software. The engineer will work with customers to triage issues, provide specialist assistance, define features, and partner with engineering teams. They will also build tools and agents to automate workflows and support new launches through testing and QA. The role requires experience with agentic AI patterns and a strong understanding of ML fundamentals and Generative AI. | Agent | 7 |
| Senior Software Engineer - AI/ML, AWS Neuron Inference Senior Software Engineer focused on optimizing LLM inference performance on AWS Neuron accelerators, working on core building blocks like Attention, MLP, Quantization, and Speculative Decoding. Collaborates with chip architects and compiler engineers to extract maximum performance and accuracy. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale systems for AWS AI services, focusing on ML and LLM technologies, Generative AI, and RAG. | Data | 7 |
| Principal Applied Scientist - AMZ9794093 Principal Applied Scientist role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for ML/NL applications. Involves applying statistical modeling, optimization, and ML techniques, running experiments in production, and researching novel approaches. Mentors junior scientists. | Ship | 7 |
| Sr Data Scientist, WWSO Bedrock This role focuses on guiding AWS customers in building enterprise-grade Generative AI and Agentic systems, with a strong emphasis on Responsible AI practices. The individual will develop best practices for guardrails, veracity, model evaluations, automated reasoning, fairness, and explainability, partnering with the Amazon Bedrock team. Deliverables include technical guidance, architectural blueprints, whitepapers, feedback to Bedrock science teams, thought leadership, and internal enablement. | Agent | 7 |
| Sr Applied Scientist, Device Connectivity Sr. Applied Scientist on the Device Connectivity team, focusing on wireless solutions and leveraging AI/LLMs to enhance customer experience. The role involves designing AI roadmaps, identifying new research directions, and mentoring junior scientists. | Agent | 7 |
| Software Development Engineer, Amazon Seller Assistant Software Development Engineer to build the next generation of Amazon Seller Assistant, a GenAI-first, multi-agent system that reimagines seller experience by providing a proactive, autonomous assistant. The role involves owning problem spaces end-to-end, from customer insight to shipped product at Amazon's scale. | Agent | 7 |
| Software Development Engineer, Ring Software Development Engineer role at Amazon Ring focused on defining, building, and supporting system design, architecture, and software for IoT products, with a specific emphasis on developing GenAI platforms & agents and understanding ML model architecture and inference. | Agent | 7 |
| Applied Scientist III, Sponsored Products Marketplace Intelligence The Sponsored Products and Brands team at Amazon Ads is seeking an Applied Scientist to build production ML and bandit solutions for customizing the search experience. This role involves determining ad placement, quantity, and targeting on Amazon search pages using machine learning, causal inference, and optimization techniques. The scientist will focus on improving the Sponsored Products experience by understanding shopper pain points and developing innovative solutions, with a mandate to experiment and innovate to grow Sponsored Products using LLMs/GenAI for ranking and allocation. The role requires designing and running experiments, analyzing large datasets, and developing real-time ML algorithms for ad auctions and multi-objective optimization. | ShipAgent | 7 |
| Software Development Manager, Amazon Quick Software Development Manager for a new generative AI-powered assistant initiative within Amazon Quick, focusing on enterprise systems. The role involves leading a team to define, build, and ship AI solutions that enhance user productivity and creativity. | Ship | 7 |
| Principal Technical Program Manager, DC Power Utilization Management The Principal Technical Program Manager will lead data science and software initiatives within the DC power utilization management organization at AWS Infrastructure Services. This role focuses on driving high utilization in data centers through data science and machine learning, managing complex projects, and collaborating with various engineering teams to achieve capex efficiency and maintain high availability. | DataPost-train | 7 |
| Design Technologist, Agentic AI & Marketing Automation This role focuses on designing and implementing agentic AI workflows for marketing automation, bridging UX design and technical delivery. The Design Technologist will prototype AI-driven automation experiences, build integrations between systems, and serve as a technical and UX bridge between marketing stakeholders and AI engineering teams. Responsibilities include hands-on technical execution, creating reusable prototyping frameworks, and developing reference implementations for AI-powered solutions. | Agent | 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. 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 |
| Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery Principal Product Manager for Prime Video Personalization and Discovery, focusing on Monetization Strategy. This role involves defining product vision, strategy, and roadmap for ML-powered features, including recommendation systems. Responsibilities include translating business problems into algorithmic objectives, collaborating with applied scientists and ML engineers, defining metrics, leading A/B testing, and communicating complex concepts to leadership. The role requires experience managing and deploying ML products and understanding the model lifecycle. | ShipAgent | 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 |
| Sr. Applied Scientist, Agentic Automated Reasoning Group Sr. Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves end-to-end technical leadership, identifying and applying AI techniques (like generative AI) for tasks such as requirement formalization, test generation, and proof repair, alongside traditional verification methods. | 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 |
| 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 |
| 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 |
| Language Data Scientist, Alexa International This role focuses on analyzing and evaluating conversational interaction data to support the training and evaluation of LLMs and machine learning models for Alexa's speech interfaces. The Language Data Scientist will own data analysis, research requests, and contribute to developing annotation workflows and evaluation conventions. | Post-trainEval Gate | 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 |
| 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 |
| 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 |
| 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 |
| Applied Scientist, Neuron ARG, Annapurna ML Applied Scientist role focused on the intersection of AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators like Trainium. Responsibilities include designing, developing, and deploying analyzers, architecting tooling, and publishing research in compiler technology and deep learning systems software. | Serve | 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 |
| 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 |