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 11% 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 |
|---|---|---|
| Software Development Engineer (Java/AWS), Alexa AI Software Development Engineer (Java/AWS) for Alexa AI team, focusing on building and delivering innovative consumer software products and industry-leading conversational assistant capabilities. The role involves owning large-scale customer-facing features, designing and architecting innovative consumer products, and contributing to the core runtime orchestration platform for conversational agents using LLMs and Gen AI. | AgentServe | 7 |
| Software Development Engineer, CreativeX Software Development Engineer focused on real-time ad personalization and insights, leveraging generative AI technologies like latent diffusion models, LLMs, and RL to tailor visual ad experiences. The role involves investigating new technologies, building data pipelines, and developing platforms for ML model deployment in the Dynamic Creative Optimization (DCO) domain. |
| ServePost-train |
| 7 |
| Applied Scientist, Ads Econ Applied Scientist role at Amazon Advertising focusing on building full life-cycle machine learning solutions, including scaling ad performance insights through agentic systems/LLMs. The role involves hands-on analysis, modeling with large datasets, productionizing ML models with engineers, running A/B experiments, and researching innovative ML approaches to drive monetization and sales for Amazon's advertising products. | Agent | 7 |
| Software Development Manager, Elastic Block Store (EBS), Capacity Optimization Software Development Manager for Amazon Web Services (AWS) Elastic Block Store (EBS) Capacity Engineering team. The role involves leading a team to invent and build a new capacity forecasting and planning platform using AI/ML, including machine learning models, algorithms, and agents, to automate capacity planning and purchasing for AWS data centers globally. The focus is on optimizing fleet servers, predicting demand, and balancing service, infrastructure, financial, and business constraints to support the rapid growth of AWS, especially driven by AI workloads. | Agent | 7 |
| Data Scientist II, SCOT - OSS Buying Outcomes Data Scientist II role focused on developing and supporting data science methodologies and models for Amazon's global inventory management and buying programs. The role involves deriving causal inferences, modeling variations, and building tools to drive key decisions in buying and sourcing strategies, with a focus on massive datasets and operational efficiency. | Data | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves designing end-to-end data lifecycles and building multi-agent solutions to automate data engineering tasks. It also includes contributing to the shared data platform and AI/ML models. | AgentData | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system that combines LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. The role involves building data pipelines, optimizing core algorithms and ranking models, designing data structures and indexing techniques, optimizing performance and scalability, integrating ML models, and developing control plane systems for the IR system infrastructure. Experience with Rust, large-scale distributed systems, and ML integration is required. | AgentServe | 7 |
| Senior Delivery Consultant - Modernization, Professional Services Israel Senior Delivery Consultant for AWS Professional Services in Israel, focusing on designing and implementing end-to-end AI solutions for enterprise customers. This role involves architectural design, customer consulting, technical leadership, and developing generative AI applications like RAG systems and intelligent agents, with an emphasis on MLOps and responsible AI practices. | AgentServe | 7 |
| Senior Delivery Consultant - Machine Learning (GenAI), Public Sector This role focuses on designing, implementing, and managing AWS solutions for public sector clients, with a strong emphasis on Machine Learning and Generative AI. The consultant will act as a trusted advisor, guiding customers through their cloud journey and providing expertise on AWS services, ML best practices, and foundational model optimization. The role involves a mix of solution architecture, implementation, and knowledge sharing, with a requirement for Swedish National status and business-level Swedish proficiency. | ShipPost-train | 7 |
| Sr Software Development Engineer, EC2 Nitro Machine Learning Systems Senior Software Development Engineer role focused on building and scaling machine learning infrastructure for EC2 Nitro, supporting training and inference workloads for various ML applications including LLMs and multimodal systems. The role involves designing innovative technologies, leading technical projects, developing regression testing systems, and collaborating with hardware teams to optimize platform designs for ML performance. | ServeData | 7 |
| Senior SDE, Prime Video Personalization & Discovery Senior Software Development Engineer for Prime Video's Machine Learning Platform team, focusing on recommendation systems and ML infrastructure. The role involves end-to-end ownership of product, user experience, design, and technology to deliver state-of-the-art entertainment experiences. Responsibilities include designing and building ML infrastructure, tackling complex problems, delivering scalable ML platform solutions, writing code, mentoring engineers, and influencing technical strategy. | ShipServe | 7 |
| Software Dev Engineer, EC2 Nitro Software Development Engineer on the EC2 Nitro Machine Learning Systems team, focusing on building and optimizing performance measurement infrastructure for AI/ML workloads. The role involves establishing best-known configurations, translating performance insights into technical requirements, and analyzing training/inference performance across accelerated platforms. It requires expertise in low-level systems, ML frameworks, and serving layers. | Serve | 7 |
| Senior Software Development Engineer, EC2 Nitro Senior Software Development Engineer role focused on building and scaling EC2 compute platforms for machine learning workloads, including training and inference for LLMs and multimodal systems. The role involves designing innovative technologies, leading technical projects, developing regression testing systems, and collaborating with hardware teams to optimize platform designs for ML performance. | ServeAgent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service. Focus on technical leadership, architecture, and balancing execution with long-term needs. | Agent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead architecture and design of AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service for enterprise data integration with FMs and agents. Focus on scaling services, innovating on Gen AI, and ensuring extensible, performant, and secure solutions. | Agent | 7 |
| Applied Science Manager, Prime Air Applied Science Manager leading a team focused on optimizing drone fleet mission planning and orchestration using ML/RL and geospatial data to maximize deliveries per hour. The role involves path planning, scheduling, system architecture, and cross-functional collaboration, with a focus on turning research into deployed features. | AgentData | 7 |
| Software Development Engineer, Rufus on Detail Page Software Development Engineer to build and improve a generative AI-powered shopping assistant (Rufus) for millions of Amazon customers, focusing on product research, comparisons, and recommendations. | 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 |
| Software Development Engineer 2, AGI Data Services Software Development Engineer 2 role focused on building simulation environments, agent interaction servers, data pipelines, and managing agent fleets for AGI Data Services, supporting LLM and Gen-AI model development at Amazon. | Agent | 7 |
| Sr. Applied Scientist, Seller Fee Science This role focuses on applying ML and AI to solve business problems within Amazon's third-party marketplace, specifically concerning seller fees. The scientist will develop and deploy models for fee accuracy, policy automation, and seller explanations, working closely with engineering and product teams to productionize solutions. The role emphasizes rigorous experimentation, causal inference, and contributing to the scientific culture. | Ship | 7 |
| Amazon Quick Delivery Engineer , Amazon Quick Customer Success Team (Q-CST) This role focuses on architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Quick and Bedrock for customer success. It involves designing and implementing solution blueprints, integrating Gen AI capabilities into existing systems, and providing guidance on data preparation, model training, and deployment strategies. The role also includes customer updates and SFDC hygiene. | ShipPost-train | 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 |
| 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 |
| Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting PhD student internship focused on applying machine learning, NLP, computer vision, automated reasoning, or robotics to solve complex business problems and deploy solutions into production at Amazon. | Ship | 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. 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 |
| Sr. Prompt Engineer, TSE This role focuses on prompt engineering for Generative AI and LLMs, involving the full prompt lifecycle from concept to production. Responsibilities include developing Python code, managing CI/CD pipelines, architecting contextual frameworks, and testing prompts to enhance AI performance and address real-world challenges like counterfeit detection within the Trustworthy Shopping Experience team. | Agent | 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 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers in EU marketplaces. The role involves developing custom models (embeddings, persona matching) using Python and Spark, building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI) for marketing teams. It also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns. | AgentData | 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 |
| Software Development Engineer, Intellectual Property Protection Software Development Engineer to build and maintain large-scale, low-latency, high-throughput distributed software systems that identify, prevent, and act on product listing abuse on Amazon's catalog, utilizing image processing and machine learning solutions built on AWS. | Serve | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 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 |
| Sr. Prompt Engineer, TSE This role focuses on prompt engineering for Generative AI and LLMs, involving the full prompt lifecycle from concept to production. Responsibilities include developing Python code, managing CI/CD, architecting contextual frameworks, and testing prompts to enhance AI performance and address real-world challenges, specifically within the Trustworthy Shopping Experience team at Amazon. | Agent | 7 |
| RPA Engineer , AR Automation This role focuses on designing and implementing intelligent automation solutions using AI, ML, LLMs, and RPA tools within Amazon's Accounts Receivable team. The engineer will optimize existing automations, partner with stakeholders, lead projects, and ensure reliability and integration across financial systems. Basic qualifications include RPA certifications, programming experience (Python/C#), and experience with RPA tools and APIs. Preferred qualifications involve deploying AI products at scale, data mining, and integrating LLMs with enterprise data using embeddings and vector search. | Agent | 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 |