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 |
|---|---|---|
| Principal Product Manager - Technical, Shopper Understanding and Response Prediction Principal Product Manager, Technical for Amazon's Shopper Understanding and Response Prediction team. This role focuses on driving business growth by defining and executing strategies for personalized shopping experiences on Amazon Search and Product pages. It involves working with deep learning models, large-scale ML pipelines, and real-time serving infrastructure, leveraging GenAI to improve shopper understanding and prediction systems. The role requires close collaboration with engineers and applied scientists to deliver tailored shopping experiences and requires strategic vision, technical depth, and analytical rigor. | ShipAgent | 7 |
| Applied Scientist II, Whole Body Control This role focuses on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The scientist will design and implement whole-body control methods for balance, locomotion, and dexterous manipulation, utilizing state-of-the-art learned and model-based control methods, including imitation learning and reinforcement learning. The goal is to create robust, safe, real-time controllers for robots operating in dynamic environments and alongside humans. |
| Ship |
| 7 |
| Software Development Manager, Sponsored Products and Brands Software Development Manager for Amazon Ads' Sponsored Products and Brands team, focusing on leveraging generative AI and ML to revolutionize advertising experiences. The role involves managing engineers, developing roadmaps for ML/GenAI solutions in ad retrieval, fostering cross-team collaboration, and hiring/developing talent. The team operates full-stack, from backend services to shopper-facing experiences, aiming to deliver personalized and context-aware advertising. | ShipServe | 7 |
| Applied Scientist III, AWS Elemental This role focuses on applying machine learning to video processing, understanding, and content monetization within AWS Elemental. The scientist will prototype, optimize, and deploy advanced models into production, collaborate with cross-functional teams, and develop scalable solutions. The role also involves mentoring, contributing to operational tooling, and potentially publishing applied research. The primary focus is on shipping AI-powered features and enhancements for video services. | ShipServe | 7 |
| Software Development Engineer III - Amazon Robotics, Autonomous Mobility, AMS Software Development Engineer III role focused on leading the technical direction for autonomous navigation stack components, including task planning, motion planning, and control for production robotics systems. The role involves architecting and implementing ML/AI-based systems, impacting thousands of robots, and working with state-of-the-art technologies in a scaling environment. | AgentData | 7 |
| Applied Scientist II, Annapurna ML Applied Scientist II role focused on enhancing ML accelerator software (Trainium/Inferentia) to accelerate customer adoption. Responsibilities include developing ML/RL for code generation/optimization, creating ML compiler techniques, building validation tools, and designing high-performance kernels. The role involves working with customers, engineering teams, and research communities to advance ML systems, with a focus on inference performance and training cost optimization. | ServeData | 7 |
| Machine Learning Engineer, WWPS ProServe Delivery Team Machine Learning Engineer role focused on designing, implementing, and scaling Generative AI solutions for enterprise customers on AWS. The role involves working directly with customers to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. It emphasizes customer success and driving AI transformation. | ShipPost-train | 7 |
| Applied Scientist, Amazon Private Brands Applied Scientist role focused on designing and building innovative machine learning solutions for Amazon Private Brands discovery, driving customer awareness and product discovery. The role involves end-to-end project ownership, from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will propose new algorithms, overcome technical limitations, and present findings to leadership. | Ship | 7 |
| Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation Sr. Applied Scientist at Amazon Prime Video focused on building and deploying sophisticated machine learning systems for content presentation and discovery. The role involves developing multi-modal embeddings, contextualized ranking systems, and reinforcement learning frameworks, with a strong emphasis on bridging science and engineering for production-scale deployment. Responsibilities include leading cross-functional science initiatives, mentoring junior talent, and working with large-scale data to create personalized customer experiences. | AgentServe | 7 |
| 2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting PhD student internship focused on Automated Reasoning for cloud computing, involving research into novel approaches, development of solutions, and deployment into production. Expertise sought in theorem proving, SAT/SMT solvers, program analysis, and synthesis, with a potential link to ML/LLMs. | Agent | 7 |
| Applied Scientist II, Sustainability Science and Innovation The role focuses on building the AI/ML foundation for sustainability initiatives, involving data identification, ingestion, harmonization, storage, and maintenance of strategic models and data. It requires developing data pipelines, implementing data collection strategies, and creating monitoring and alarming systems for sustainability-related AI solutions. | Data | 7 |
| Sr. Research Scientist III, WW Sustainability Seeking a Senior Research Scientist to lead the design and implementation of autonomous experimental research platforms leveraging data science and AI for sustainable materials innovation. This role combines Physical AI with materials chemistry to accelerate discovery and validation, establishing scientific strategy and technical roadmaps for next-generation autonomous capabilities. | DataAgent | 7 |
| Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect This role focuses on architecting and implementing AI solutions, specifically agentic AI, within Amazon Connect for enterprise customers. It involves guiding customers on model selection, prompt configuration, tool integration, and ensuring customer data is ready for AI agents. The role is hands-on, requiring coding, integration building, and collaboration with customer teams to move solutions from proof-of-concept to production. | Agent | 7 |
| Sr. Applied Scientist , Amazon This role focuses on building and deploying machine learning models to improve customer experience through personalized recommendations on Amazon's retail website. The scientist will leverage large-scale data and computing resources to understand customer behavior, develop state-of-the-art recommendation models, and measure their impact on the business. | Ship | 7 |
| Applied Scientist II, WW Sustainability This role focuses on building the AI/ML foundation for sustainability initiatives, involving data and AI/ML infrastructure implementation, data pipeline development, and establishing ML Ops best practices. The goal is to support various sustainability efforts like carbon footprinting and climate risk monitoring. | Data | 7 |
| Applied Scientist, Agentic Automated Reasoning Group Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves understanding customer needs, identifying tools and methods for verification, and exploring generative AI techniques for requirements formalization, test generation, and proof repair. | Agent | 7 |
| Software Development Engineer II - Amazon Robotics, Proteus AMR, Motion Software Development Engineer II role focused on task planning, motion planning, control, and navigation for autonomous mobile robots. The role involves developing generalizations for new environments and use cases, and integrating ML/AI-based systems into production robotics. It emphasizes working with state-of-the-art technologies, including agentic AI, and deploying code on a massive production fleet. | AgentData | 7 |
| Applied Scientist II, EC2 Core Platform This role focuses on inventing and implementing scientific solutions, including machine learning models, for EC2 capacity intelligence. It involves developing and productionizing data-driven solutions for efficient capacity and demand allocation, aiming to improve customer experience. The role requires expertise in ML/DL and applying scientific principles to real-world business challenges, with a strong emphasis on bridging science and engineering. | AgentData | 7 |
| Software Engineer - AI/ML, Ads Marketing - Advertiser Growth Technology team Software Engineer role on the Ads Marketing team, focusing on building an AI-powered marketing intelligence engine (MCC) that uses autonomous AI agents for campaign management. The role involves designing, developing, and deploying production-grade ML systems, owning AI/ML pipelines, and collaborating with Applied Scientists. The system aims to automate repetitive tasks and improve campaign execution time. | AgentServe | 7 |
| Data Scientist, AWS Support Capacity Planning Data Scientist role focused on building predictive models and optimization algorithms for AWS Support capacity planning. The role involves forecasting contact and volume, identifying business opportunities using statistics and machine learning, and partnering with various teams to drive operational improvements. Requires experience in data science, forecasting, optimization, and machine learning, with a focus on applying theoretical models in an applied environment using Python or R. | Data | 7 |
| Senior Applied Scientist , EC2 Optimization Science Senior Applied Scientist role focused on designing, implementing, and scaling decision-making algorithms for AWS EC2 capacity management. The role involves mathematical optimization, large-scale problem solving, and applying ML/Gen AI methods to enhance optimization algorithms. Responsibilities include data analysis, prescriptive optimization modeling, simulation, A/B testing, and collaborating with engineering and product teams. | Data | 7 |
| Sr. Research Scientist, Community Operations Senior Research Scientist role focused on building and validating AI models to quantify the impact of Amazon's operational presence on local communities. The role involves designing causal frameworks, predictive models, and automated causal discovery systems using LLMs and document understanding. It also includes deploying production ML forecasting systems with multi-modal data sources and mentoring junior scientists. The work is at the intersection of computational social science, AI, and operational planning, influencing decisions affecting thousands of communities daily. | AgentData | 7 |
| Software Development Engineer, Conversational Ads Experience Software Development Engineer role focused on building conversational ad experiences using LLMs within Amazon's advertising business. The role involves driving product and engineering initiatives, building large-scale, low-latency distributed systems, ML infrastructure, data pipelines, and implementing LLM models in production, including LLMOps. | AgentServe | 7 |
| Data Scientist II, Amazon Business Data Scientist II at Amazon Business focused on researching, experimenting, and analyzing predictive and optimization models, and designing detection systems to analyze customer behavior, identify potential abuse, and detect fraudulent activities using machine learning techniques and AWS services. | Agent | 7 |
| Software Development Engineer II, Data Center Design Engineering - BIM & AI Technologies Software Development Engineer II role focused on building generative AI applications for data center design automation within AWS Infrastructure Services. The role involves architecting and implementing scalable production systems that integrate BIM platforms, cloud services, and AI technologies, with a focus on human-in-the-loop workflows. The engineer will collaborate with applied scientists to productionize ML models and mentor junior engineers. | Agent | 7 |
| Software Development Engineer II, Data Center Design Engineering - BIM & AI Technologies Software Development Engineer II role focused on architecting and delivering AI-powered design automation solutions for AWS's global data center infrastructure, integrating BIM platforms and AWS services. The role involves productionizing ML models, implementing human-in-the-loop workflows, and collaborating with applied scientists and domain experts. | Agent | 7 |
| Senior Machine Learning Engineer, GenAIUX Senior Machine Learning Engineer focused on building Generative AIUX products for AWS customers, transforming design-driven development. The role involves integrating with LLMs, optimizing AI-driven interfaces, and owning end-to-end GenAI-powered services for design generation, validation, and automation. Experience with agentic orchestration is preferred. | Agent | 7 |
| Senior Applied Scientist, Fauna Senior Applied Scientist role focused on developing evaluation frameworks and data collection protocols for robotic capabilities. The role involves designing how to measure, stress-test, and improve robot behavior, building infrastructure for teleoperation, evaluation, and learning, and analyzing results to identify performance gaps. It requires expertise in robotics, ML, and human-in-the-loop systems, with a focus on turning capability goals into measurable evaluation systems. | Eval GateAgent | 7 |
| Sr. Applied Scientist, Sensing Senior Applied Scientist role focused on developing and improving sensing systems for advanced robotics at Amazon scale. This involves designing custom sensor systems, integrating AI and control systems, and working from concept to production in a fast-paced, interdisciplinary environment. The role requires deep knowledge in sensing, signal processing, computer vision, and machine learning, with a focus on shipping robotic products. | ShipAgent | 7 |
| Senior Software Engineer, AWS Agentic AI Senior Software Engineer role focused on building and enhancing AWS Bedrock AgentCore services within the Agentic AI field. The role requires developing scalable, efficient, and fault-tolerant machine learning powered solutions, with a preference for experience in ML systems. Responsibilities include delivering strategic technical projects, designing new software systems, mentoring engineers, and providing technical leadership in a fast-moving, startup-like environment within a large company. | Agent | 7 |
| Software Dev Engineer, Agentic AI, Agentic AI Foundation Software Development Engineer role focused on building a new AWS service for agentic AI, specifically enabling memory capabilities for autonomous agents. The role involves designing, developing, and deploying large-scale, fault-tolerant ML systems, collaborating with applied scientists, and mentoring junior engineers. | Agent | 7 |
| Interdisciplinary Sys Engineer, GES NA Ops Engineering This role focuses on integrating computer vision, edge computing, and physical automation systems to enable real-time operational intelligence, improve equipment performance, and optimize process flow within global fulfillment networks. The engineer will bridge AI/ML models with physical systems, leading the development and deployment of sensor-driven automation solutions and ensuring seamless integration across hardware, software, and control layers. | ServeAgent | 7 |
| Senior Software Development Engineer , AWS Commercial Application Services Senior Software Development Engineer role within AWS Commercial Application Services focusing on building cloud infrastructure for enterprise applications, specifically SAP workloads. The role involves leveraging Agentic AI and Generative AI to enhance operational efficiency, redefine cloud computing, and create new capabilities for customers. It requires designing and scaling mission-critical services, influencing product strategy, defining system architecture, and ensuring customer needs are met through AI-driven solutions. The position emphasizes building large-scale distributed systems integrated with AI capabilities. | Agent | 7 |
| Senior Software Engineer, AWS Commercial Application Services Senior Software Engineer role at AWS EC2 focusing on building enterprise cloud infrastructure services that leverage Agentic and Generative AI for SAP workloads. The role involves designing, scaling, and integrating AI-driven innovations to enhance operational efficiency and customer experience, with a strong emphasis on autonomous systems and intelligent automation. | Agent | 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products, developing real-time ML algorithms for ad allocation and multi-objective optimization. The role involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. It also includes researching new ML approaches and potentially recruiting/mentoring scientists. | AgentServe | 7 |
| Security Engineer, Threat Detection Security Engineer focused on threat detection using ML and generative AI to build and improve detection capabilities at scale for Amazon's network and customer data. | Agent | 7 |
| Sr. Applied Scientist, Selling Partner Communities (SPC) Sr. Applied Scientist role focused on developing and implementing AI/ML solutions to improve the Amazon Selling Partner experience. This involves building scalable models, analyzing data, and staying current with LLM, RL, and agent-based AI research to translate findings into practical applications. The role requires strong ownership of the full project lifecycle and collaboration with business and engineering teams. | Agent | 7 |
| ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling for fuzzers and specification synthesis for an LLVM-based compiler targeting ML accelerators (Inferentia/Trainium) for domains like Large Language and Vision. Focus on accuracy and reliability of the compiler stack. | Serve | 7 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science Senior Applied Scientist role at Amazon Prime Video focused on developing and launching AI solutions for personalization and discovery, including search systems. The role involves end-to-end ownership of machine learning models, from design and implementation to experimentation and evaluation, with a focus on benefiting millions of customers. The position also requires staying updated with the latest modeling techniques and publishing research findings. | Ship | 7 |
| Applied Scientist II, Prime Video Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focused on developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. The role involves end-to-end ownership of product and user experience, working with advanced approaches like foundation models to tackle cold-start problems and discover niche interests. The scientist will also publish research findings and collaborate with engineering and product teams. | Ship | 7 |
| Applied Scientist, Sponsored Products and Brands This role focuses on applying and researching novel machine learning approaches, particularly deep learning methods for multi-objective optimization, to develop real-time algorithms for allocating billions of ads daily in advertising auctions. The work involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. The role also involves recruiting and mentoring scientists. | AgentServe | 7 |
| Senior Applied Scientist, Agentic WorkSpaces Senior Applied Scientist role focused on building predictive intelligence for capacity management in AWS workspaces. This involves developing ML systems for demand forecasting, resource optimization, and cost efficiency at enterprise scale. The role requires translating business needs into production ML systems, designing algorithms, and applying advanced ML techniques like time-series forecasting, reinforcement learning, and causal inference. Emphasis on low-latency, large-scale data processing, and collaboration with product and engineering teams. | ServeAgent | 7 |
| Sr. Design Technologist, Prime Video - AI Content Generation This role bridges generative AI research and visual storytelling for Prime Video, focusing on translating ML capabilities into production workflows and understanding creative needs. The Sr. Design Technologist will assess generative models, build proof-of-concept tools, and identify gaps between model output and production requirements. | Post-train | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Software Development Engineer, Internet Monitoring Software Development Engineer role focused on building core functionality for AWS Internet Monitoring service, leveraging Generative AI techniques for network monitoring, traffic engineering, and autonomous systems. The role involves designing, developing, and deploying AI-integrated software systems, collaborating with cross-functional teams, and ensuring operational excellence. | Agent | 7 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on developing and launching AI solutions for Amazon's Sponsored Products and Brands advertising business. This involves building recommendation systems leveraging generative models, designing and implementing end-to-end AI solutions, and defining a long-term science vision. The role requires experience in building ML models, deep learning, and working with large-scale distributed systems. | ShipAgent | 7 |
| Applied Scientist, Sponsored Products The Sponsored Products and Brands team at Amazon Ads is seeking an Applied Scientist to leverage generative AI and machine learning to revolutionize advertising experiences. This role involves driving end-to-end ML projects, analyzing large datasets, building and deploying models into production, and establishing scalable processes for ML development and serving. The focus is on creating innovative ad tech and shopping experiences off the store, working with external and internal partners to connect systems, understand customers, and drive results at scale, with a GenAI-first approach. | ShipServe | 7 |
| Sr Risk Manager, Amazon Business Payments & Lending This role focuses on developing and scaling credit strategies for new marketplace launches within Amazon Business Payments & Lending. It involves partnering with Science teams to innovate with AI/ML for automated credit decisioning, defining product features, and managing portfolio performance. The role requires a blend of product management, data analytics, and strategic thinking to build and grow a financial services business. | Agent | 7 |
| Security Engineer, Threat Detection Security Engineer focused on threat detection using ML and generative AI to build and improve detection capabilities at scale for Amazon's network. | Agent | 7 |
