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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1022 roles), Canada (59 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Software Dev Engineer II, TSE Ops Tech Software Development Engineer II role focused on building AI-powered systems for compliance and safety in e-commerce, integrating generative AI with traditional software engineering. The role involves developing AI systems for product safety assessment, catalog management, and seller safety, requiring experience in AI model deployment and scalable architectures. | AgentServe | 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 |
| Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability. | ShipAgent | 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 |
| Applied Scientist II, Search Relevance International Amazon Search team is looking for an Applied Scientist II to build machine learning models for Product Search, develop new ranking features, and implement production-level code for search systems. The role involves owning the full development cycle from design to deployment and A/B testing, with a focus on customer experience and scalability. | Ship | 7 |
| Senior Data Engineer, WW FBA Central Analytics Senior Data Engineer role focused on building and maintaining data infrastructure for AI-powered insights within Amazon's Fulfillment by Amazon (FBA) division. The role involves architecting data lakes, migrating architectures, establishing metadata management, designing data ingestion patterns, creating a centralized metrics repository, implementing data quality frameworks, designing semantic data models optimized for AI retrieval, developing intelligent orchestration, implementing federated query capabilities, architecting vector database infrastructure, integrating AI-accessible data contracts, and building monitoring frameworks. The position emphasizes the intersection of data engineering and AI, ensuring trustworthy, fast, and scalable GenAI insights. | AgentData | 7 |
| Applied Scientist II, Seller Fee Science This role focuses on applying machine learning and AI to predict and reconcile product measurements for Amazon's third-party marketplace, impacting fee strategy and seller experience. The scientist will design, develop, and deploy AI/ML models, working closely with engineering and product teams to productionize solutions and validate their business impact through rigorous experimentation. | Ship | 7 |
| Senior Data Scientist, MAPLE - Recommender System Develops and deploys data-driven models for shopping personalization and recommendation systems, leveraging GenAI techniques and causal machine learning. Focuses on improving customer experience through supervised and uplift learning, A/B testing, and harnessing large-scale data. The role involves publishing research and mentoring junior scientists. | Ship | 7 |
| Sr. Robotics Software Engineer, Amazon Robotics This role involves architecting, designing, and implementing robotic software applications and infrastructure, with a focus on integrating machine learning models and optimizing system performance for Amazon's robotic systems. The engineer will collaborate with various teams to deliver end-to-end robotic solutions. | Agent | 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 |
| Sr. AI Solution Architect This role is for a Sr. AI Solution Architect at AWS who will work with customers to design and implement production-ready generative AI and agentic AI solutions on the cloud. The role involves building technical relationships, advising on AI/ML adoption, and influencing the product roadmap. | Agent | 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 |
| Software Dev Engineer II, Transportation Finance Systems Software Development Engineer II role focused on building the TFS platform for Amazon Transportation, incorporating Agentic AI systems, anomaly detection, and financial insights. The role involves designing and delivering algorithms and infrastructure for accounting transportation costs at scale, with a focus on financial reconciliation and month-end close acceleration. | AgentData | 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 |
| Data Scientist, IES CFX & Prime This role focuses on developing and deploying machine learning systems to protect Amazon's online marketplace from fraudulent customer behavior and improve customer experience. It involves using GenAI for promotions and collaborating with cross-functional teams to build scalable ML solutions. | 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 |
| 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 |
| Software Development Engineer, Ring Cloud Computer Vision Software Development Engineer role focused on building and scaling AI-powered computer vision cloud services for Ring's consumer electronics products, serving tens of millions of users globally. The role involves full software development lifecycle, from design and development to deployment and operations, with a focus on high-availability, resilience, and scalability. | Ship | 7 |
| Software Development Engineer II, Alexa 3P Experiences Software Development Engineer II on the Alexa 3P Experiences team, focused on building consumer-facing generative AI experiences using LLMs and agentic capabilities with third-party partners. The role involves designing and developing scalable solutions, contributing to category scaling frameworks, and driving engineering best practices. | Agent | 7 |
| Applied Scientist II, Amazon Stores Economics and Science (SEAS) Applied Scientist role focused on building and delivering state-of-the-art science and engineering solutions for Amazon's Stores business, leveraging machine learning, optimization, and economics to improve business metrics. The role involves developing and maintaining scientific models, benchmarks, and services, and deploying solutions in partnership with product teams. | Ship | 7 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on guiding customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, recommending architectures for GenAI/ML and Agentic projects, influencing roadmaps, defining cloud-native architectural patterns, and creating technical content. The role requires hands-on experience with AWS AI services, LLM integration, fine-tuning, inference, RAG, evaluation, vector databases, agentic workflows, and MLOps. | AgentServe | 7 |
| Sr. AI Specialist SA This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, designing scalable architectures, advising on best practices, and contributing to the development of AWS AI services. It requires hands-on experience with AWS AI services, implementing solutions like RAG, LLMs, and agentic workflows, and translating customer needs into technical solutions. | AgentServe | 7 |
| Applied Scientist II, Central Machine Learning This role focuses on building and deploying advanced machine learning models for consumer business applications, optimizing business operations and profitability. It involves end-to-end ownership from data analysis and model development to implementation and scaling, with a strong emphasis on creating automated processes for model lifecycle management. | AgentServe | 7 |
| Senior AI Solution Architect This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments, acting as a trusted advisor to customers on adopting GenAI/ML and Agentic technologies. The Senior AI Solution Architect will manage technical relationships, make recommendations on architecture, and influence roadmap enhancements. Responsibilities include building technical relationships, advising on security, cost, performance, and operational efficiency for GenAI/ML and Agentic projects, and acting as the voice of the customer internally. The role involves defining cloud-native GenAI/ML and Agentic architectural patterns, creating and sharing best practices, technical content, and reference architectures, and evangelizing AWS technology for GenAI/ML and Agentic workloads through various channels. Additionally, it requires leading hands-on deep dives and technical workshops, contributing reusable code and assets. | Agent | 7 |
| Software Development Engineer II, Post Silicon Validation Software Development Engineer II, Post Silicon Validation for AWS's next-generation machine learning accelerators. This role involves validating the complete vertical stack of ML accelerators, from silicon to system, ensuring quality and performance for AWS cloud infrastructure. Responsibilities include developing validation strategies, executing test plans, hardware bring-up and debug, and collaborating with cross-functional teams. | Serve | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs. | AgentServe | 7 |
| Principal AI Solution Architect, Data & AI Specialist Solutions Architect team This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | AgentServe | 7 |
| Principal Solutions Architect, CEE Enterprise, FSI Principal Solutions Architect for AWS, focusing on financial services in Central Eastern Europe. The role involves leading technical strategy, architecting and implementing cloud solutions, and guiding customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. Key responsibilities include designing scalable, secure, and compliant architectures, championing innovation with agentic architecture patterns and AI-SDLC methodologies, and translating business challenges into cloud-native solutions. The role also involves thought leadership, mentoring other Solutions Architects, and contributing to the AWS knowledge base. | Agent | 7 |
| Applied Scientist II, Buyer Risk Prevention (BRP) Applied Scientist II role focused on building and deploying end-to-end machine learning models for fraud and risk prevention in an e-commerce environment. The role involves leveraging Generative AI and LLMs to enhance detection systems, analyzing large datasets, and collaborating with engineering and business stakeholders. Requires experience in model development from problem formulation to production, with a focus on scalable ML solutions. | Ship | 7 |
| Applied Scientist, AWS Applied AI Solutions Core Services Applied Scientist role focused on developing and productizing AI solutions for enterprise services within AWS. The role involves designing and implementing ML systems for diverse applications, creating scalable algorithms, conducting experimentation with advanced techniques (LLMs, CV, agentic AI), and collaborating with engineering and product teams to deliver customer impact. The primary output is shipped AI products, with a secondary focus on agentic AI systems. | ShipAgent | 7 |
| Software Development Engineer, RecsAI - Personalization Software Development Engineer role focused on building and scaling Amazon's next-generation recommendation system (RecsAI) which uses LLMs trained for shopping to provide personalized product suggestions. The role involves designing, building, testing, and operating features for this system, collaborating with product and science teams, and ensuring maintainability, scalability, performance, and reliability at Amazon scale. It emphasizes end-to-end ownership, experimentation, and integrating generative AI into real-time recommendation experiences. | Ship | 7 |
| Sr. Software Development Engineer, Ring AI (Edge AI) Senior Software Development Engineer focused on developing and deploying edge AI solutions with a specialization in computer vision for consumer devices. The role involves designing and implementing efficient edge AI architectures, collaborating with applied science and cloud teams, and optimizing system performance. | ServePost-train | 7 |
| Applied Scientist, Amazon Music Applied Scientist role at Amazon Music focusing on building, training, and deploying ML models for customer experiences and business decisions. The role involves collaborating with scientists and engineers, experimenting with modern ML techniques, and implementing scalable data pipelines and model-serving systems. It's suitable for early-career individuals with a PhD or Master's degree and 3+ years of experience in building models for business applications. | Post-trainServe | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior GenAI & ML Specialist Solutions Architect for AWS, focusing on Automotive & Manufacturing. This role involves customer-facing pre-sales, designing and deploying Generative AI and ML solutions on AWS, and engaging with enterprise customers and partners. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps, along with strong software engineering and cloud architecture skills. | Agent | 7 |
| Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering This role focuses on building and operating AWS cloud infrastructure for AI training and inference, specifically targeting high-performance and scalable solutions for large language models. The engineer will work on server designs, system-level debugging, and implementing automation solutions, including agentic workflows and AI-driven tools, to enhance the productivity of other engineers and influence AI implementation and core architecture. | Serve | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on building AI/ML solutions for Amazon's Advertising Sales business. The role involves developing and implementing models for insights, recommendations, and generative AI-powered workflows to improve sales team efficiency and customer success. It requires expertise in quantitative modeling, deep learning, RL, and NLP, with a focus on production deployment and A/B experimentation. | AgentPost-train | 7 |
| Applied Scientist, Sales AI This role focuses on building AI agents to optimize end-to-end workflows for Amazon's Advertising Sales organization. It involves applying expertise in NLP, LLMs, Deep Learning, Reinforcement Learning, and Recommender Systems to create and refine production-ready models, with a strong emphasis on autonomous agents operating at scale. The scientist will also collaborate with engineering and product teams, conduct A/B experiments, and contribute to scientific publications. | Agent | 7 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models to enhance last-mile delivery operations within Amazon Logistics. The Process Analyst will work at the intersection of operations, analytics, and automation, developing and deploying intelligent systems for forecasting, capacity management, and decision support. The role involves translating operational challenges into automated solutions using SQL, Python/R, and AI/ML capabilities, creating intelligent dashboards, predictive models, and automated reporting systems. It requires partnering with Data Science and Engineering teams to deploy AI/ML solutions into production and evaluating emerging AI technologies. The position emphasizes leading AI/automation projects from conception to scaling, balancing business requirements with technical feasibility, and influencing cross-functional teams. | Agent | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities. | Agent | 7 |
