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 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 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), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). 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 (1023 roles), Canada (59 roles), United Kingdom (47 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 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist II - P13N, Shopping Intent Applied Scientist II at Amazon's Personalization team, focusing on building the next-generation product recommendation engine for Amazon using LLM, Machine Learning, NLP, and Computer Vision. The role involves using big data and analytical techniques to create scalable solutions, designing and evaluating innovative models, and working closely with software engineers to drive model implementations and new feature creations. The scientist will also research and implement novel ML/statistical approaches and mentor junior scientists. | Ship | 7 |
| Sr. Software Development Engineer, Workshop Studio Senior Software Development Engineer to build AI-powered capabilities on Amazon Bedrock AgentCore, focusing on agentic systems for content discovery, participant guidance, and automated quality review within the Workshop Studio platform. | Agent |
| 7 |
| Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising Machine Learning Engineer II at Amazon Advertising focused on building and optimizing ML systems for Sponsored Products and Brands search, handling billions of requests with low latency. The role involves developing scalable offline pipelines and online serving components, working with deep learning, NLP, and LLM training, and mentoring junior engineers. | ServePost-train | 7 |
| Sr. ASIC Engineer III, Annapurna Labs The Sr. ASIC Engineer III role at Amazon's Annapurna Labs focuses on the design and optimization of custom silicon (ASICs) and software that accelerate machine learning inference in AWS data centers, specifically for hardware like AWS Inferentia. This role is critical for enabling large-scale AI/ML workloads. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role focused on building AWS AI services using ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role focused on building AWS AI services using ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role focused on building AWS AI services using ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Software Engineer II, Quick, Amazon Quick Software Development Engineer II role at Amazon, focusing on building AWS AI services that leverage ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, collaborating on strategy and roadmap, and driving system architecture. It emphasizes working with new ML technologies on a high-visibility product. | Serve | 7 |
| Software Engineer II, Quick, Amazon Quick Software Development Engineer II role at Amazon, focusing on building AWS AI services that leverage ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, collaborating on strategy and roadmap, and driving system architecture. It emphasizes working with new ML technologies on a high-visibility product. | Serve | 7 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 7 |
| Senior Applied Scientist, Air Science & Tech Senior Applied Scientist role at Amazon Air Science & Tech focused on solving complex airline operations problems using machine learning. The role involves building end-to-end data pipelines, production code, and ML models to optimize operations and reduce costs. Requires experience in ML model building, deep learning, and programming languages, with a focus on business applications and decision support tools. | Ship | 7 |
| AI/ML Specialist Solutions Architect, Telecom, AGS US Specialist SA, TMEGS AWS Solutions Architect focused on Generative AI and Machine Learning for telecom customers. The role involves designing customer solutions using AWS GenAI services (Bedrock, SageMaker, Q), enabling large-scale use cases, and driving adoption. It requires deep technical expertise in AI/ML, understanding customer needs, and acting as a liaison between customers and AWS service teams. | Agent | 7 |
| Security Engineering Manager, Security Analytics and AI Research Security Engineering Manager for AWS Security Analytics and AI Research group, focusing on developing and leading a team to build core detection and machine learning algorithms for services like AWS GuardDuty. The role involves collaborating with scientists and engineers to improve threat detection across various data domains and advancing detection coverage using frameworks like MITRE ATT&CK. | AgentData | 7 |
| Software Development Engineer II, AWS Invoicing Software Development Engineer II role at AWS Invoicing focused on building generative AI-powered platforms for global expansion. The role involves designing and building agentic AI systems, LLM pipelines, and orchestration for market launches, aiming to automate and accelerate the AWS expansion process. | Agent | 7 |
| Manager, Applied Science, International Seller Services Manager for Applied Science team focused on International Seller Services at Amazon, leveraging generative AI, computer vision, and LLMs to solve e-commerce challenges and drive growth. The role involves leading end-to-end projects, providing technical direction, recruiting scientists, and launching AI models into production. | Ship | 7 |
| Sr. PM-T, GenAI Experimentation, Selling Partner Communities (SPC) Senior Product Manager, Technical (PM-T) role focused on applying generative AI to reimagine community experiences for Amazon's Selling Partners. The role involves rapid experimentation, defining product strategy, and shipping AI-powered features for both seller-facing and internal tools, including intelligent moderation and insight generation. It requires assessing agentic AI capabilities and owning the end-to-end product lifecycle. | Agent | 7 |
| Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community The ARI-SciCom Engineering team builds and operates the software platform that powers scientific publishing and research collaboration across Amazon. The role involves leading a team of software development engineers to own the technical vision and execution for a portfolio of tools that directly enable scientific discovery and collaboration at Amazon scale, with a focus on AI-powered tools for reviewing and a comprehensive directory of scientists. | AgentServe | 7 |
| Applied Science Manager, Prime Video Personalization & Discovery Manager for a Prime Video personalization and recommendation science team, focusing on developing and launching AI solutions using deep learning, GenAI, and RL for customer experience. | Ship | 7 |
| Senior Applied Scientist - SLAM and Perception, Amazon Robotics Senior Applied Scientist role focused on SLAM and Perception for Amazon's autonomous warehouse robots. The role involves researching, designing, and implementing scientific approaches for sensor calibration, SLAM, and optimizing runtime performance. It requires delivering production-level code and supporting systems in production, with a focus on large-scale deployment and analysis frameworks for sensor data. The position also involves collaboration with various engineering and operations teams. | ShipServe | 7 |
| Sr. Software Development Engineer, Defensive Security Senior Software Development Engineer for Amazon Defensive Security to architect and build an AI-first product from scratch. The role involves identifying opportunities to apply ML and generative AI to security workflows, making technical trade-offs, influencing the product roadmap, and setting engineering standards. It requires end-to-end delivery ownership and leadership in a greenfield environment. | Agent | 7 |
| Director, Energy Solutions Architecture, AWS Industries Director of Solutions Architecture for AWS Energy, leading a global team to define technical strategy for energy customers, focusing on embedding AI and generative AI into enterprise processes and workloads. The role involves advising C-level executives, building reference architectures, and guiding customers through cloud and AI adoption, with a focus on scaling AI solutions. | Agent | 7 |
| Data Science Manager, PXT Central Science Amazon is seeking a Data Science Manager to lead a team focused on developing causal predictive models for workforce decisions. This role involves building structural and predictive models, leveraging data science workflows, and exploring emerging techniques like LLMs and computer vision to improve operational efficiency and associate well-being. The manager will be responsible for team leadership, technical direction, strategic planning, and communication, with a focus on bringing research to production. | Agent | 7 |
| ML Compiler Engineer, Annapurna Labs Seeking a skilled compiler engineer to develop and optimize a deep learning compiler stack for AWS ML accelerators (Inferentia/Trainium), supporting frameworks like PyTorch, TensorFlow, and JAX for domains including LLMs and Vision. Responsibilities include compiler feature design, optimization, and collaboration with hardware, runtime, and framework teams. | Serve | 7 |
| AI Editor, Alexa for Shopping Content and Marketing Experiences This role focuses on improving AI model fluency through human-in-the-loop evaluations and LLM judge audits, developing prompting strategies, creating alignment data for LLMs in shopping use cases, and identifying/mitigating biases through fine-tuning. It involves cross-functional collaboration with Product, Science, and Design teams to enhance customer experience metrics and ensure model improvements for Alexa for Shopping. | Post-trainAgent | 7 |
| Senior Applied Scientist, Kuiper Data Science Platform Senior Applied Scientist role focused on building and productionalizing machine learning models for fraud detection and customer experience monitoring within the Project Kuiper satellite broadband initiative. The role involves data extraction, model building, evaluation, and deployment, with a focus on preventing fraud and abuse in customer terminal usage. | Agent | 7 |
| Sr. Software Development Manager - Performance and Tooling, AWS Neuron, Annapurna Labs This role is for a Sr. Software Development Manager leading a team of compiler engineers to develop, deploy, and scale a compiler targeting AWS Inferentia and Trainium chips. The focus is on optimizing performance, cost, and ease of use for the Neuron SDK, involving deep knowledge of resource management, scheduling, code generation, and optimization for various compute architectures. Experience with toolchains like LLVM/GCC and compiler internals is preferred. | Serve | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II on the Digital Pricing team at Amazon, focusing on building and designing next-generation AI-powered pricing systems for digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, making real-time pricing decisions, and working with AWS infrastructure and distributed systems at scale. | Ship | 7 |
| Senior SDE, Machine Learning, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Personalization & Discovery team, responsible for building and operating ML systems that deliver millions of personalized recommendations per second. The role involves driving innovation through experimentation, leading engineering teams, system design, prototyping ML solutions, and planning A/B experiments to demonstrate customer value. The team focuses on ML-driven understanding of customer preferences to power video discovery experiences. | Ship | 7 |
| Applied Scientist II - AMZ9935275 Applied Scientist II role at Amazon Advertising focusing on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques to business and engineering problems, researching new approaches, and mentoring junior scientists. Requires a Master's degree and one year of experience (or Bachelor's with five years) in ML/related fields, with experience in programming (Java, C++, Python) and developing supervised/unsupervised ML models. | Ship | 7 |
| Applied Scientist, SCOT-Inbound Systems This role focuses on designing, developing, and deploying advanced mathematical optimization and machine learning solutions for Amazon's supply chain problems. The scientist will work on inventory and distribution optimization, network design, and control theory, implementing solutions in Java/Python and collaborating with software engineering teams. The role involves research, prototyping, simulation, and production deployment, with a focus on improving code quality and potentially publishing work internally or externally. | ShipData | 7 |
| Software Development Engineer, Amazon Quick Suite Software Development Engineer for AWS Quick RAG team, focusing on building and optimizing scalable ingestion pipelines for multi-modal content (PDF, audio, video, tables) using computer vision and machine learning to power intelligent document processing and search capabilities within Amazon Quick Suite. The role involves system optimization, collaboration with applied scientists, and integration of retrieval models, impacting customer experience. | AgentData | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. 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 |
| 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 |
| 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 |
