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 |
|---|---|---|
| Applied Scientist I, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on enhancing customer playback quality of experience through machine learning and data science. Responsibilities include optimizing video streaming, anomaly detection, integrating new algorithms, and defining research directions. The role involves working with LLMs and generative AI, with a focus on translating research into practical applications and improving customer experience. | ShipPost-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment This role focuses on research and development of speech and audio generation technology, including end-to-end speech-to-speech architecture and audio processing solutions. The scientist will define research roadmaps, publish findings, and develop deep learning algorithms, with a focus on computer vision algorithms. The role involves building models for business applications and potentially mentoring/hiring other scientists. |
| Post-trainData |
| 7 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services This role focuses on designing, implementing, and deploying GenAI and ML applications and models on AWS for customers. It involves providing technical guidance, gathering requirements, and advising on model training and deployment strategies, with a strong emphasis on AWS AI/ML services. | ServePost-train | 7 |
| Software Development Engineer, Amazon Search Autocomplete and Navigation AI Software Development Engineer for Amazon Search Autocomplete and Navigation AI. This role focuses on building next-generation mission understanding models and data collection frameworks, integrating models into large-scale, real-time production systems, and analyzing data to optimize system design and model performance. The position involves developing scalable data pipelines, designing and executing experiments, and managing ML initiatives. | ServeAgent | 7 |
| Applied Scientist II, Customer360 Research and develop new AI technologies for personalization using recommendations, information retrieval, and large language models. Build large-scale ML solutions for customer experiences. | Ship | 7 |
| Principal Product Manager – Technical, Amazon Music Agent Experience, Amazon Music - CX Infrastructure Principal Product Manager, Technical for Amazon Music's Agent Experience and Music Intelligence. This role defines the strategic vision for AI-powered music experiences across all Amazon Music product surfaces, focusing on cross-platform strategy, intelligence layer utilization, and emerging technologies like generative AI. The PM will influence senior leadership, partner across organizations, and translate complex technical capabilities into customer-facing product strategies with clear business cases. | Agent | 7 |
| Senior Machine Learning Engineer, Sponsored Products and Brands Relevance Senior Machine Learning Engineer responsible for building and owning real-time ML serving systems for ad selection in Sponsored Products and Brands at Amazon. The role involves driving technical direction, designing scalable pipelines, optimizing model performance, and mentoring engineers, operating at massive scale with strict latency SLAs. It touches on deep learning, NLP, LLMs, and distributed systems, impacting shopper experience and advertiser ROI. | ServeAgent | 7 |
| Senior Applied Scientist, Workplace Health & Safety Senior Applied Scientist focused on transforming research into scalable, real-world solutions for Workplace Health & Safety, leading end-to-end design, development, and deployment of large-scale scientific systems, and mentoring junior scientists. | Ship | 7 |
| Data Scientist, Amazon Music - DISCO Data Scientist role at Amazon Music focused on building and deploying predictive models for customer acquisition, retention, and engagement strategies. The role involves leading research and development, partnering with stakeholders, and evaluating the impact of growth campaigns and algorithmic interventions through experimentation. | Ship | 7 |
| Customer Engineer, Advanced Customer Engineering, Global Financial Services Customer Engineer focused on building Agentic AI and multi-modal Generative AI applications and workflows for financial services customers on AWS. This role involves creating end-to-end solutions, prototypes, and modern data applications, with a strong emphasis on hands-on development with AWS AI services. | Agent | 7 |
| Senior Software Development Engineer, Data Integration AI and Platform Excellence (APEX) Senior Software Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows within Amazon's AWS Utility Computing organization. The role involves designing, developing, and optimizing these systems, collaborating with data scientists, and mentoring junior engineers. | Serve | 7 |
| Software Development Engineer, Data Integration AI and Platform Excellence (APEX) Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows at Amazon. The role involves designing, developing, and optimizing systems, collaborating with data scientists, and contributing to the full software development lifecycle. Requires experience with ML/LLM fundamentals and optimization of model execution. | Serve | 7 |
| Sr. Technical Program Manager, AI Studios Sr. Technical Program Manager to drive the delivery of AI-powered production capabilities for Prime Video and Amazon MGM Studios. The role involves managing end-to-end delivery across Engineering, Product, Applied Science, UX, and creative production teams, translating production requirements into technical execution plans, managing dependencies, and ensuring delivery against ambitious milestones for an AI-native production platform called Nara. | Ship | 7 |
| Software Dev Engineer, Machine Learning Compilers Software Development Engineer focused on building the compiler infrastructure and software stack for custom neural accelerator silicon designed for edge AI capabilities. The role involves optimizing deep learning workloads, model quantization, and compression for efficient execution on hardware with limited memory, ultimately enabling large AI models to run on edge devices. | Serve | 7 |
| Principal Product Manager - Tech, Sponsored Products and Brands Principal Product Manager - Tech for Sponsored Products and Brands, focusing on advertiser-facing Gen AI products and conversational commerce. The role involves defining product vision, rethinking campaign management using LLMs, and collaborating with various teams to deliver intelligent, adaptive experiences. It requires deep Ad Tech expertise and the ability to influence across organizational boundaries. | Agent | 7 |
| Applied Scientist, Safe Control, Amazon Robotics, Compass This role focuses on developing and implementing Control Barrier Function (CBF) algorithms for Amazon's robot fleet, ensuring safety and reliability in real-world conditions. The scientist will bridge the gap between theoretical mathematics and practical hardware implementation, addressing challenges like sensor noise and computational budgets, with the goal of achieving third-party safety certification. | Ship | 7 |
| Professional Services II - AMZ19475.5 This role focuses on building and delivering Generative AI solutions for customer-facing business problems using AWS services and open-source technology. Responsibilities include designing, developing, and evaluating solutions like RAG, multi-agent systems, and model fine-tuning, as well as providing guidance and creating best practices for customers. The role also involves analyzing data to optimize processes and identify investment opportunities. | AgentPost-train | 7 |
| Software Development Engineer, Amazon Marketing Cloud Assistant Software Development Engineer II role focused on building the backend services for an AI-powered conversational agent (Amazon Marketing Cloud Assistant) that allows advertisers to interact with data using natural language. The role involves designing and building scalable data pipelines, LLM orchestration, prompt engineering, tool use, agent workflows, and contributing to the evaluation framework for agent accuracy. It operates at the intersection of LLMs, distributed systems, and large-scale advertising data. | Agent | 7 |
| Research Engineer, Prime Video - Content Understanding Research Engineer role focused on building experiment frameworks, infrastructure, and deployment packages for Generative AI models within Prime Video. Responsibilities include managing GPU clusters, containerizing models, and developing monitoring pipelines for production deployment. The role supports applied scientists and involves end-to-end ownership of model training and deployment. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate on requirements, and advise on industry trends, ultimately helping customers achieve their business outcomes through AWS AI/ML services. The role involves working with customers to build and deploy models, with a focus on the end-to-end solution. | ShipServe | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. The role emphasizes using AWS AI/ML services and involves working with customers to achieve their business outcomes. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers, acting as a trusted advisor and providing technical guidance throughout the project lifecycle. It involves understanding customer needs, proposing solutions, and ensuring successful deployment and optimization of AI/ML services. | ShipServe | 7 |
| Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and delivering GenAI and ML applications for enterprise customers on AWS. The consultant will act as a trusted advisor, providing technical guidance and collaborating with stakeholders to build custom AI tools and solutions, with a strong emphasis on customer success and project delivery. | Ship | 7 |
| SDE II - Scanless Tech, AR Scanless Technology Software Development Engineer II (SDE II) for Amazon Robotics Scanless Tech team, focusing on developing and deploying machine learning and computer vision based software technologies for robotics applications. The role involves building edge and cloud CV applications, leveraging AWS ML, optimizing fulfillment infrastructure, and partnering with Applied Scientists to develop ML applications. The team's solutions are core to the business and deployed at scale. | AgentServe | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS, covering the entire vertical stack from silicon to system. The engineer will work on hardware and software validation, ensuring performance, accuracy, and reliability of ML accelerators used in AWS data centers. Responsibilities include developing validation strategies, executing test plans, debugging hardware and software issues, and collaborating with cross-functional teams. | Serve | 7 |
| Applied Scientist II, Sponsored Products Applied Scientist II role focused on building and deploying generative AI technologies for Amazon's Sponsored Products and Brands advertising platform, with a focus on video content. The role involves developing new solutions, evaluating technologies, and mentoring other scientists, while working with LLMs and production environments. | ShipServe | 7 |
| Applied Scientist, NA Stores Expansion This Applied Scientist role focuses on building and deploying AI/ML models and LLM-powered systems for Amazon's North America Stores. The role involves developing workflows that combine ML models with optimization engines and human-in-the-loop capabilities, building scalable data and inference pipelines, and designing experimentation frameworks. The goal is to automate complex business processes and serve real-time predictions in production, impacting areas like supply chain, customer engagement, and inventory management. | AgentServe | 7 |
| Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML This role is for a Senior System Development Engineer focused on high-performance accelerator servers for AI/ML at AWS. The engineer will be responsible for designing, delivering, and operating next-generation infrastructure for AI training and inference, focusing on performance, efficiency, and scalability. The role involves deep technical understanding of the full stack from hardware to software, systems debugging, and leading complex projects. | Serve | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. The role requires experience in hosting and deploying GenAI/ML solutions, including pre-processing, training, fine-tuning, and inference. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing AWS GenAI/ML solutions for customers, providing technical guidance, and acting as a trusted advisor. It involves working with customers to understand their needs and proposing effective strategies for model training, building, and deployment, with a strong emphasis on using AWS AI/ML services. | ServePost-train | 7 |
| Research Scientist, Operational Efficiency, AET Planning and Analytics Science Research Scientist role focused on building novel solutions for workforce optimization using operations research, causal inference, machine learning, and generative AI. The role involves designing simulation and optimization models for scheduling, hiring, and task assignment, developing causal inference frameworks, and collaborating with senior leaders to influence strategic decisions. The work directly impacts operational efficiency and employee experience at Amazon's global scale. | Agent | 7 |
| Applied Scientist, Stores Economics & Science (SEAS) Applied Scientist role focused on economics and science within Amazon's Stores organization, applying expertise in machine learning, NLP, IR, statistics, and economics to solve business problems related to cost-to-serve, selection optimization, and emerging machine learning. The role involves leading initiatives from research to production, developing and maintaining scientific models, and designing algorithms and mechanisms for supply chain and marketplace challenges. | Ship | 7 |
| Applied Scientist II, Conversational Ad Experiences The role focuses on applying generative AI and LLMs to create conversational ad experiences for Amazon. Responsibilities include defining science roadmaps, building and deploying models, running experiments, and collaborating with engineers and product managers. The goal is to enhance customer experience and advertiser reach through innovative AI solutions in the advertising domain. | ShipPost-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for content localization, understanding, and enrichment. The role involves applying state-of-the-art NLP and computer vision research, particularly with vision-language models and multimodal LLMs, to understand video content, including long-context understanding and causal reasoning across temporal sequences. The goal is to power next-generation video understanding and search capabilities for Prime Video. | Agent | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance The Senior Manager, Applied Science, AWS Compliance & Security Assurance role focuses on leading a team that builds and operates automated reasoning technology for security and privacy assurance across Amazon and AWS. The role involves owning the technical vision and roadmap for static analysis capabilities, driving innovation in program analysis, and managing a team of applied scientists. Key responsibilities include technical leadership, hands-on contribution to research and design, team building, product integration with security and service teams, advancing the state of the art in static program analysis, and stakeholder engagement. | Ship | 7 |
| Solutions Architect - NPO, Membership Account Team Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs. | Agent | 7 |
| Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Senior Applied Scientist on the Linear Personalization Experience (LPEX) team at Amazon Prime Video. This role focuses on defining and driving the science strategy and roadmap for Linear TV personalization, designing, developing, and deploying ML models for content recommendation, viewer engagement optimization, and real-time personalization. The role involves owning the complete ML lifecycle, building and optimizing recommendation systems with strict real-time latency requirements, and partnering with software engineering teams for production deployment. The team is building next-generation, AI-powered personalization and recommendation systems. | AgentServe | 7 |
| Senior Software Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Senior Software Engineer role focused on building the platform and infrastructure for AI agents and skills within Amazon's internal developer ecosystem. The role involves owning the technical direction, architecture, and roadmap for services that distribute AI capabilities, including authentication, context optimization, and quality systems. It emphasizes enabling autonomous agents to securely access internal resources and improving agent performance at scale. | Agent | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure, covering the entire vertical stack from silicon to system. The engineer will be responsible for developing validation strategies, executing test plans, conducting hands-on bring-up and debug, and validating ML accelerator performance using real-world workloads. The role requires collaboration with various engineering teams and a strong understanding of computer architecture and ML fundamentals. | Serve | 7 |
| Applied Scientist, Fauna This role focuses on developing evaluation frameworks and data collection protocols for robotic capabilities, bridging robotics, ML, and human-in-the-loop systems. The scientist will design evaluation methodologies, create data collection protocols, build teleoperation workflows, and analyze results to improve robot behavior and dataset generation. | Eval GateData | 7 |
| Data Scientist II, Amazon Currency Convertor Data Scientist II at Amazon Payments focused on building analytical solutions for the Amazon Currency Convertor using Gen AI, LLM, and other machine learning techniques for text analytics, segmentation, and prediction. Responsibilities include applying causal inference, developing descriptive and predictive solutions, collaborating with stakeholders, innovating with modeling techniques, performing exploratory data analysis, and building models using standard techniques. Specific tasks involve fine-tuning Amazon LLMs for text summarization, preventing catastrophic forgetting, feature engineering, and implementing data flow solutions. | Post-train | 7 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer to build industry-first conversational advertising experiences powered by LLMs on Amazon Search. This role involves shipping GenAI to hundreds of millions of shoppers, working at the intersection of Generative AI and advertising at Amazon's scale. Responsibilities include designing and developing new conversational ad experiences, building large-scale, low-latency distributed systems and ML infrastructure, partnering with scientists to implement and operationalize LLMOps, and building data pipelines for personalized, AI-driven advertising. | AgentServe | 7 |
| Manager, Business Intelligence, FBA Analytics Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents. | AgentData | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Principal ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role focuses on designing and implementing agentic AI and generative AI solutions for healthcare and life sciences customers on AWS. The Principal ProServe Cloud Architect will partner with customers to understand their business objectives and translate them into innovative cloud and AI solutions, focusing on areas like clinical trial management, data operations, and regulatory submissions. The role involves technical advisory, solution design, and collaboration with various AWS teams to drive digital transformation and achieve customer business outcomes. | Agent | 7 |
| Sr. Software Development Engineer, MLOPs Senior Software Development Engineer focused on building and operating ML training infrastructure for robot learning at scale. This role involves designing and implementing distributed GPU training pipelines, CI/CD for ML models, experiment tracking, data pipelines for robotics datasets, and operationalizing novel ML models, with a focus on Kubernetes and large-scale distributed systems. | DataServe | 7 |
| Sr Solutions Architect, Alexa+ 3P Experiences Senior Solutions Architect to lead technical partner integrations for Alexa+, Amazon's next-generation personal AI assistant. This role involves designing, validating, and shipping integrations that bring third-party agentic capabilities into Alexa+ across diverse consumer categories. The architect will work hands-on with partners, build playbooks and reference architectures, and influence product roadmaps. The role requires experience with modern integration protocols, agentic system design, and full-stack fluency. | Agent | 7 |
| Senior SDE, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Data Platform team, focusing on building ML infrastructure for personalization and recommendation systems. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on big data pipeline architecture and scalable ML solutions. Responsibilities include designing and delivering ML and Data platform solutions, mentoring engineers, and influencing technical strategy. | DataServe | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery, leading a team of engineers to build and deliver AI-first personalization models and services at scale for customer recommendations on the PV Homepage. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on ML and experimentation to improve content surfacing. | Ship | 7 |
| Sr. Solutions Architect, Consumer Packaged Goods Solutions Architect focused on driving adoption of Generative AI and Agentic AI within the Consumer Packaged Goods (CPG) vertical on AWS. The role involves educating customers, developing technical strategies, and architecting solutions that leverage AI for business value in areas like supply chain, personalization, and product innovation. | Agent | 7 |
