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, Prime Video - Content Reasoning, Enrichment and Localization Team Applied Scientist role at Amazon Prime Video focusing on content reasoning, enrichment, and localization. The role involves research and application of machine learning, audio processing, and natural language understanding, with specific mention of multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment. Requires experience in building models for business applications and a PhD or Master's degree. Familiarity with foundational models and speech synthesis is a plus. | Post-trainData | 7 |
| Applied Science Manager, Artificial General Intelligence , Quality Automation Applied Science Manager for AGI team focusing on quality automation, auditing, and evaluation of LLMs and multimodal systems. Leads a team of scientists to develop quality strategies, auditing frameworks, and research new methodologies to ensure data integrity and model performance. Manages team development, cross-functional communication, and drives research into data impact and utility measurement for AI models. |
| Eval GatePost-train |
| 7 |
| AI Product Manager - Technical, Amazon Customer Service AI Product Manager - Technical for Amazon Customer Service, focusing on end-to-end lifecycle of large-scale AI products using Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures to transform customer experience. | Agent | 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 |
| Senior Prototyping Architect , Prototyping And Cloud Engineering (PACE) Senior Prototyping Architect role focused on building functional prototypes using Generative AI, Agentic AI, and other cloud-native architectures. The role involves hands-on coding, architectural decisions for agent behaviors and LLM integrations, and educating customers on AWS services. It requires strong cloud expertise and a passion for experimenting with emerging technologies to solve complex customer problems. | Agent | 7 |
| Applied Scientist, Selling Partner Trust and Store Integrity Science The Applied Scientist will leverage LLMs and generative AI to build automated solutions for seller verification, transaction monitoring, and risk assessment in Amazon's marketplace. The role involves designing, developing, and deploying end-to-end ML solutions to detect and prevent abuse patterns, requiring innovation with the latest GenAI technology and adaptation to evolving threats. | Agent | 7 |
| Sr. Applied Science Manager, Stores Economics and Sciences This role is for a Senior Applied Science Manager on the Stores Economics and Science team at Amazon. The team uses economics, statistics, and machine learning to understand and design Amazon's buyer and seller economy. The manager will provide structure for complex business problems, work with ML scientists to validate models, and help partners translate analysis into impactful actions. The role requires experience in building large-scale ML/AI solutions, leading scientists, and developing junior talent. | Ship | 7 |
| Machine Learning Engineer, OIS-Core Engine Machine Learning Engineer focused on developing and deploying ML products for network management within Amazon Infrastructure Engineering, aiming to improve customer experience and revolutionize business operations. | Ship | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services Language Engineer role focused on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets for AGI Data Services. The role involves designing data collection tasks, analyzing data for insights, building data authoring tools, and collaborating with scientists to evaluate language models. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 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 Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on leveraging generative AI and machine learning to re-imagine advertising experiences for Amazon Ads' Sponsored Products and Brands. The role involves leading ML efforts, analyzing large datasets, building and deploying ML models for insights, traffic monetization, and personalized shopping experiences, and driving end-to-end ML projects. It also includes running A/B experiments, establishing scalable processes, researching new ML approaches, and recruiting/mentoring other scientists. | ShipServe | 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 |
| Applied Scientist II, Sponsored Products Marketplace Intelligence Applied Scientist II role at Amazon Ads focused on building production ML and bandit solutions to customize the Sponsored Products search experience. The role involves determining ad placement, quantity, and targeting using machine learning, causal inference, and optimization techniques. It emphasizes improving shopper discovery and advertiser reach by modeling shopper responses and optimizing ad allocation and ranking on the search page, with a recent focus on integrating LLMs/GenAI for production use cases. | ShipServe | 7 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies. The role involves designing scalable architectures, acting as a trusted advisor, and contributing to product roadmaps by translating customer needs into technical solutions. Responsibilities include hands-on deep dives, workshops, and creating technical content. | AgentServe | 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 |
| 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 |
| 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 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role focused on developing and launching AI solutions for Prime Video's search and personalization systems, involving deep learning, GenAI, and reinforcement learning. The role requires end-to-end ownership from design to launch, including experimentation and evaluation, with a strong emphasis on delivering customer-facing products. Research publication is also a component. | Ship | 7 |
| Applied Scientist III - AMZ9675101 Applied Scientist III role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for machine learning and natural language applications. The role involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel ML approaches. Requires a Master's degree (or equivalent experience) in a related field and experience in programming and developing supervised/unsupervised ML models. | Serve | 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 |
| Principal Product Manager - Technical, Agentic AI Core Infra Principal Technical Product Manager to lead the strategy and execution of an end-to-end agentic core infrastructure (SDK, Runtime, Builder Tools) that enables agent and skill builders to develop, test, and operate production-grade agentic experiences at scale. This role will innovate leveraging and extending AWS core primitives like Agent Core to fulfill Amazon Ads specific needs like agent authorization, guardrails, shared memory, and fully managed runtime for complex multi-step reasoning and multi-agent workflows. | Agent | 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 |
| Senior AI Solution Architect 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 |
| 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 |
| Applied Scientist II, Amazon, Amazon Applied Scientist II at Amazon focused on improving shopping experiences using LLMs. Requires 3+ years of building models for business applications, a PhD or Master's with 4+ years of experience, and a publication/patent record. Experience with algorithms, data structures, optimization, data mining, and parallel computing is expected. | 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 |
| Applied Scientist, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on Playback Intelligence. The role involves using applied machine learning and data science, with specializations in video streaming optimization, information retrieval, anomaly detection, root-causing systems, large language models, and generative AI across various modalities. Responsibilities include translating business requirements into deliverables, improving customer playback quality, reducing time/cost/effort for optimization and defect mitigation, and integrating new algorithms into modeling stacks. The role emphasizes working backwards from desired outcomes to determine ideal solutions. | Agent | 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 |
| SDE - ML & Risk Management Platforms, Core Services Software Development Engineer role focused on building and managing machine learning models and platforms for fraud prevention and risk management at Amazon scale. The role involves developing self-service capabilities for experimenting with new ML models and managing numerous risk use cases globally, operating at the intersection of Machine Learning and Security. | Ship | 7 |
| Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery Principal Product Manager for Prime Video's Personalization and Monetization, focusing on ML-powered features, recommendation systems, and customer experience. This role involves defining product strategy, translating business problems into algorithmic requirements, and guiding the ML lifecycle to ship scalable, customer-centric AI features. | Ship | 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 III, Alexa 3P Experiences Software Development Engineer III on the Alexa 3P Experiences team, focusing on building consumer-facing generative AI experiences with third-party partners using LLMs and agentic capabilities. The role involves leading design and architecture, owning technical vision for SDKs, and driving engineering best practices. | Agent | 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 I, Buyer Risk Prevention (BRP) Applied Scientist role focused on building and improving machine learning models for buyer risk prevention at Amazon. This involves analyzing large datasets, developing and deploying models, and collaborating with engineers and business teams to safeguard transactions and enhance risk policies. The role also includes experimenting with Generative AI and LLMs for automation and risk evaluation. | Ship | 7 |
| Software Development Engineer III, Alexa 3P Experiences Software Development Engineer III on the Alexa 3P Experiences team, focusing on building consumer-facing experiences with third-party partners using generative AI, LLMs, and agentic capabilities. The role involves leading design and architecture of experiences and SDKs, taking a long-term system view, and mentoring engineers. | 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 |
| Machine Learning Engineer, AWS Applied AI Solution Machine Learning Engineer to build and deploy agentic AI products within AWS Applied AI Solutions. The role involves transforming research into production systems, owning end-to-end deployment, and establishing scalable ML processes. | 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. 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. | Agent | 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 |
