Currently tracking 1110 active AI roles, down 16% 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 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, 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. | Agent |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction This role focuses on developing and deploying machine learning models for Amazon's Sponsored Products and Brands Ads, aiming to improve customer experience and advertiser effectiveness. The scientist will conduct data analysis, build and optimize ML models, run A/B experiments, and collaborate with engineers to productionize solutions. They will also research new ML modeling techniques to enhance business outcomes. | Post-train | 7 |
| Applied Science Manager, Sponsored Products and Brands Applied Science Manager to lead a team building and scaling a prompt generation pipeline for a conversational ad format powered by LLMs. The role involves developing prompt themes, quality frameworks, and driving coverage expansion, with a focus on personalization and experimentation to improve key metrics. Requires strong technical depth in NLP, LLMs, and information retrieval, along with management experience and the ability to influence product strategy. | AgentPost-train | 7 |
| Applied Scientist, Prime Video Applied Scientist role at Amazon Prime Video focusing on leveraging NLP and Computer Vision research to enhance video content understanding and customer experience. The role involves leading research direction, creating roadmaps, and developing models for business applications, with an emphasis on delivering state-of-the-art digital video experiences. | Ship | 7 |
| Senior Applied Scientist, AWS Central Economics and Science The role focuses on building ML systems with a causal modeling foundation for AWS sales optimization, designing seller incentive mechanisms, and developing intervention strategies. It involves developing rigorous causal measurement and modeling frameworks, designing programs and incentives, and building ML-based recommendation systems. | Agent | 7 |
| Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for AWS's generative AI (GenAI) infrastructure, specifically targeting large-scale model training and inference workloads. The individual will work with key customers (Frontier AI model builders) to accelerate their adoption of AWS services, understand their infrastructure needs, and influence product roadmaps. The role involves business development, customer engagement, evangelism, and collaboration with internal AWS teams. | ServePretrain | 7 |
| Data Scientist, Alexa Connections This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers. | Agent | 7 |
| Principal Product Manager - Technical, Alexa Connections Principal Product Manager, Technical for Alexa Connections, focusing on building AI-native communication experiences using generative AI, LLMs, real-time communications, voice, and GUIs. The role involves strategizing, driving product roadmaps, and launching 0-1 product lines, working cross-functionally with engineering, science, and design teams to deliver delightful customer experiences. | ShipAgent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing and launching new AI technologies for personalization in e-commerce, leveraging LLMs, recommendation systems, and information retrieval. | Ship | 7 |
| Sr. Software Dev Engineer, Amazon Leo OISL Senior Software Engineer to lead a team building the operational backbone of a satellite laser communication network. The role involves architecting and delivering mission-critical tools and services for network operations, including systems that leverage machine learning and generative AI for anomaly detection, root cause analysis, and impact prediction. The engineer will also lead automation initiatives, collaborate with cross-functional teams, and mentor junior engineers. | Agent | 7 |
| Software Dev Engineer, Alexa Connections Software Development Engineer role at Amazon Alexa Connections, focusing on integrating generative AI and machine learning into communication features to enhance customer experiences. The role involves designing and building scalable, fault-tolerant systems for AI/ML workloads, including Gen AI inference and training pipelines, within an agile environment. | ShipServe | 7 |
| Data Scientist, Alexa Connections This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers. | Agent | 7 |
| Software Engineer II, Search Science Data Infra Software Engineer II, Search Science Data Infra at Amazon, focusing on building and managing ML training data pipelines, feature stores, and infrastructure for Amazon Search. This role involves working with big data, distributed systems, and AWS AI services to support ML model training and inference for search ranking, matching, and personalization. | DataServe | 7 |
| Software Dev Engineer II, Customer Service Security Software Development Engineer II on the Customer Service Application Security team at Amazon. This role focuses on building innovative security solutions using Generative AI and LLMs to automate security processes, improve security posture, and increase developer productivity. The engineer will architect and develop native AWS solutions, including prompt engineering, security frameworks, and threat detection mechanisms, to create paved path solutions for developers. | Agent | 7 |
| Software Development Engineer , Amazon Robotics (AR) Sortation Planning Software Development Engineer role focused on designing, developing, and deploying full-stack robotic planning, tracking, and workcell solutions using AWS and AI-driven sortation optimization. The role involves building software for sortation at scale, improving safety, and optimizing package flow and fleet orchestration through ML-powered algorithms and intelligent systems. | Agent | 7 |
| Principal Technical Program Manager, Ads Core AI Infra This role leads strategic programs for Amazon Ads' AI infrastructure core services that accelerate agentic AI development. The TPM will define and execute the agentic AI core infra product roadmap, drive agent builder adoption, and ensure the core services scale to support multi-agent workflows and production-grade reliability for advertiser-facing and internal agents. | Agent | 7 |
| Applied Scientist, Amazon Kids Personalization Applied Scientist role focused on designing and deploying state-of-the-art recommendation models for Amazon Kids+. The role involves research into customer behavior, model development, and production deployment, with a focus on personalization for children's content across various devices. It emphasizes building and shipping AI-powered products to millions of customers. | Ship | 7 |
| Applied Scientist Manager, Worldwide Returns & ReCommerce Manager for an Applied Scientist team focused on optimizing the returns and re-commerce process using ML, NLP, and Information Retrieval. The role involves managing scientists and engineers, developing ML models for business applications, and building scalable software systems. | Ship | 7 |
| Software Dev Engineer, AWS Identity Analytics Platform Software Development Engineer role focused on building and operating the data platform infrastructure for an AI-driven analytics platform at AWS Identity. This involves designing and managing ingestion, transformation, and serving pipelines for petabyte-scale data to feed ML models and LLM agents. The role also includes productionizing ML models, building feature engineering infrastructure, and ensuring platform resilience and scalability. | ServeData | 7 |
| Security Consultant - GenAI, AWS GenAI Innovation and Delivery This role focuses on delivering secure Generative AI solutions to enterprise customers, acting as both a security leader and hands-on practitioner. It involves conducting security assessments, architecting and implementing security controls for GenAI applications, and building reusable security patterns and accelerators. The role also involves developing innovative GenAI-powered security solutions and contributing to thought leadership. | ShipAgent | 7 |
| Senior Applied Scientist, AWS Marketplace Discovery Senior Applied Scientist role focused on developing AI-powered Discovery systems for AWS Marketplace, specializing in personalization, search, and recommendation systems. The role involves leading research, design, and development, translating scientific techniques into scalable solutions, and mentoring other scientists. It aims to accelerate cloud migrations and support partner growth. | ShipAgent | 7 |
| Applied Scientist, Prime Video - Title Lifecycle Presentation Applied Scientist role at Amazon Prime Video focused on building machine learning systems for content presentation and discovery. The role involves working with multi-modal embeddings, contextualized ranking, reinforcement learning, and recommender systems to improve customer engagement with the Prime Video catalog. | Ship | 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. | Serve | 7 |
| Data Scientist, Digital Acceleration The Data Scientist, Digital Acceleration role at Amazon focuses on designing and delivering advanced analytics and machine learning models for Amazon's digital businesses. The role involves end-to-end project management, from ideation to deployment, with a strong emphasis on Generative AI solutions and LLMs to enhance data access and solve customer problems within the Digital Acceleration Analytics team. | Agent | 7 |
| Senior Robotics Engineer, Datacenter Robotic Products & Services Senior Robotics Engineer role focused on designing, deploying, and managing advanced robotic systems at scale within AWS data centers. This involves developing robust robotic solutions, collaborating with external partners, and ensuring reliability, efficiency, and scalability. The role requires experience with vision language actuation models and shipping production code. | Agent | 7 |
| Applied Scientist, Core Search This role focuses on building and improving ML-powered search ranking models at Amazon's scale, leveraging large datasets and exploring techniques like reinforcement learning to enhance customer experience. The primary deliverable is the shipped AI product (search ranking system). | Ship | 7 |
| Professional Services II - AMZ8484.11 This role focuses on designing and implementing enterprise-scale Generative AI solutions using AWS services, optimizing performance, and guiding teams in integration. It involves a mix of technical implementation and strategic guidance for AI applications. | Agent | 7 |
| Software Dev Engineer, EC2 Nitro Software Development Engineer to build and optimize performance measurement infrastructure for AI/ML workloads on AWS EC2 Nitro. The role involves low-level systems, ML frameworks, and serving layers to translate performance insights into technical requirements for platform designs. | Serve | 7 |
| Senior Software Dev Engineer, EC2 Nitro Senior Software Development Engineer to build and optimize infrastructure for AI/ML workloads on EC2 Nitro. Focus on performance measurement, benchmarking, regression testing, and influencing future hardware designs for LLMs, multimodal systems, and emerging architectures. Role involves both customer-facing performance problem-solving and foundational infrastructure development. | Serve | 7 |
| Principal Applied Scientist, Automated Reasoning This role leads research and development in automated reasoning, formal verification, and program analysis to make formal methods practical for cloud-scale systems. It involves designing novel algorithms, mentoring scientists, and collaborating with product teams to transition research into production. A key focus is pioneering the use of these techniques for agentic systems to ensure AI agents operate within safety boundaries. | Agent | 7 |
| Applied Scientist, Amazon Ads, Demand Forecasting & Guidance The Applied Scientist will lead Machine Learning efforts for Amazon Ads' Demand Forecasting & Guidance team. This role involves hands-on analysis and modeling of large datasets to develop insights, build and deploy ML models into production, and run A/B experiments. The goal is to create best-in-class forecasting products for advertisers to predict campaign outcomes and optimize ad performance, directly impacting key business decisions. | Ship | 7 |
| Language Engineering Manager, AGI Data Services Manager for a Language Engineering team focused on data production and processing for AI and LLMs. Responsibilities include team leadership, technical guidance, process optimization, and collaboration with science and tech partners. | Data | 7 |
| Principal AI Creative Director, POD This role is for a Principal AI Creative Director focused on building a generative AI system for Amazon Ads. The core responsibility is to act as the 'human judgment layer', defining and decomposing creative direction, brand intelligence, and quality standards into machine-readable primitives. This involves leading the systemization of taste, defining aesthetic moderation frameworks, and building prototypes to shape AI-powered creative experiences for advertisers. The role requires deep fluency in AI creation tools and the ability to translate creative vision into system requirements, influencing design, engineering, and product leadership. | AgentPost-train | 7 |
| Sr. Software Development Engineer, Workshop Studio, Catalog & Events Senior Software Development Engineer to drive the technical direction of the Catalog & Events services within the Workshop Studio platform, focusing on building AI-powered agentic systems for content discovery, participant guidance, automated summaries, and agent-assisted authoring. The role also involves developing multi-tenant platform infrastructure, integration APIs, and evolving the authentication architecture, with a strong emphasis on technical leadership and operational excellence. | Agent | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role focused on developing and launching AI solutions for Prime Video's personalization and discovery systems, involving deep learning, GenAI, RL, and optimization. The role requires end-to-end ownership, experimental design (offline and A/B testing), and publishing research findings. Experience with recommender systems and personalization is preferred. | Ship | 7 |