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 |
|---|---|---|
| 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 |
| 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. | 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 |
| 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 |
| Sr AI Editorial Lead (Portuguese), AI Shopping, International This role focuses on curating and evaluating content to train and optimize AI models for conversational shopping experiences in new marketplaces and languages. It involves defining guidelines, ensuring response quality, analyzing errors, and creating frameworks for prompt tuning and management. The role also guides the development of automation and internal tools for editorial curation and evaluation, collaborating with product, science, and engineering teams. | Post-trainData | 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 |
| 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. Product Manager, Progression Intelligence Senior Product Manager to own the product vision and execution roadmap for Progression Intelligence, a charter at the intersection of machine learning, real-time decisioning, and customer lifecycle strategy. The role involves leading the technical integration of various systems onto a unified agentic orchestration platform to enable faster experimentation and more personalized interventions. Requires comfort with ML systems, API architecture, and product strategy, working closely with applied scientists and engineers to ship systems delighting millions of customers. | AgentPost-train | 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, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed pricing algorithms for billions of products worldwide. This involves leveraging large-scale multi-modal datasets, applying machine learning, predictive modeling, causal inference, and reinforcement learning to optimize pricing strategies and tools for sellers. The role emphasizes collaboration with product and engineering teams, continuous learning, and delivering business impact through innovative pricing solutions. | ShipAgent | 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 |
| Software Development Engineer, Middle Mile Disruption Detection and Execution Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders. | Agent | 7 |
| Principal, PMT, Selling Partner Identity Verification Product Manager for a team focused on seller identity verification and fraud detection within Amazon's Selling Partner Trust and Store Integrity organization. The role involves owning products that authenticate seller identities, detect changes, orchestrate workflows, and route sellers based on risk. It requires defining product strategy, working with engineering and science teams on ML models, and influencing cross-functional stakeholders in a complex, adversarial domain. | AgentData | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior Solutions Architect for Generative AI and ML workloads in the Automotive & Manufacturing sector, focusing on customer adoption of AWS services. This role involves translating business challenges into technical solutions, designing and deploying architectures, engaging with enterprise customers and partners, and providing feedback to product teams. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, agents, and AIOps, along with strong business acumen for customer engagements. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Management Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team. | Agent | 7 |
| Member of Technical Staff, Data Platform , AGI Backend engineer responsible for building and operating core services that ingest, process, and distribute large-scale, multi-modal datasets to internal tools and data pipelines for an AGI research lab. Focuses on designing backend architecture, defining operational standards, and ensuring production health, performance, and observability. | Data | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. | Agent | 7 |
| Data Scientist II (ADBL175) Data Scientist II at Audible (Amazon) focused on building production-ready LLM solutions and recommendation systems. Requires a Master's degree and 2+ years of experience in data science, ML modeling, Python/R, and non-linear models. Experience with LLMs (programmatic access, evaluation, fine-tuning), recommendation systems, and SQL/ETL is required. | ShipPost-train | 7 |
| Software Development Engineer, JWO Software Development Engineer role within AWS Applied AI Solutions focused on building and scaling the Machine Learning platform for Just Walk Out (JWO) Technology. This involves working with computer vision, image recognition, machine learning, and distributed systems to power checkout-free shopping experiences. The role requires strong software engineering skills, including full-stack development, and experience with Java and AWS services. | Serve | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience. | Agent | 7 |
| Software Dev Engineer Intern, OpenSearch, 2026 Shanghai Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems. | AgentServe | 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 consumer electronics, serving tens of millions of users globally. Responsibilities include product definition, design, development, deployment, and operations of highly available and resilient cloud services. | Serve | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on Generative AI and quantitative modeling for Amazon Advertising Sales. The role involves conceptualizing and leading research on ML/GenAI solutions, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. Key areas include optimizing sales business, improving work efficiency through GenAI, and developing advertiser insights and recommendations. | Ship | 7 |
| Applied Scientist II, Amazon Fulfillment Technology (AFT) Science Applied Scientist II at Amazon Fulfillment Technology (AFT) Science, focusing on developing production solutions for Amazon's Fulfillment Network using operations research, optimization, statistics, machine learning, and GenAI/LLM. The role involves designing, building, and deploying scalable mathematical models and optimization-driven solutions to improve process efficiency and associate experience within the fulfillment network. Collaboration with scientists, software engineers, and product managers is key, with a focus on translating research into production systems. | Ship | 7 |
| Machine Learning Engineer II, Special Projects Machine Learning Engineer II on an Amazon Special Projects team focused on creating new products and services using Generative AI and LLMs. Responsibilities include developing and maintaining platforms for LLM development, evaluation, and deployment, processing large datasets, scaling models, and optimizing performance. Experience with distributed model training is required. | ServePost-train | 7 |
| Senior Manager, Applied Science, Network Planning Solutions Senior Manager role focused on leading AI/ML innovation for network planning solutions, involving demand forecasting and network optimization algorithms. The role requires developing and deploying production-ready models, architecting scalable AI/ML infrastructure, and driving scientific innovation from research to production, ultimately translating AI/ML capabilities into measurable business outcomes. It emphasizes leading a team of applied scientists and collaborating with cross-functional partners. | ShipData | 7 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models at scale. The individual will act as a trusted advisor, architecting solutions, supporting adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |