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 16% 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 |
|---|---|---|
| Principal Product Manager - Technical, Amazon Lists Principal Product Manager - Technical to lead a new 0->1 initiative shaping how customers discover, organize, and share across Amazon, leveraging Generative AI and LLMs for transformative customer experiences. This role requires creative product thinking, deep technical fluency, and influencing senior leadership to drive execution across engineering, science, and design teams. | Ship | 7 |
| Sr Applied Scientist, Amazon Fulfillment Tech - Science Sr. Applied Scientist role focused on developing and deploying optimization, ML, and GenAI/LLM solutions for Amazon's fulfillment network. The role involves understanding operational processes, designing mathematical models, creating prototypes, partnering with engineers for production integration, and monitoring performance. Requires experience in building and deploying optimization and ML models at scale. |
| 7 |
| Senior Applied Scientist, AWS Automated Reasoning Senior Applied Scientist role at AWS focused on automated reasoning, privacy, and sovereignty solutions. The role involves solving complex problems, designing and implementing solutions with long-term impact, providing technical influence, developing strategic plans for new solutions, and mentoring others. Requires a Master's degree, programming experience, and experience with neural deep learning, machine learning, building ML models for business applications, and applied research. | Ship | 7 |
| Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM Senior Solutions Architect focused on Generative AI (GenAI) and Amazon Bedrock, responsible for designing and optimizing customer solutions, driving adoption, providing technical guidance, and acting as a liaison between customers and product teams. This role involves thought leadership, creating enablement materials, and building prototypes/PoCs for GenAI systems. | ShipPost-train | 7 |
| Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services Design and implement machine learning models for recommendation systems in talent acquisition at Amazon, focusing on fairness and explainability. The role involves full software development lifecycle, collaboration with cross-functional teams, and staying current with scientific literature to improve hiring processes. | ShipAgent | 7 |
| Applied Scientist, TSI - Science PhD or Master's level scientist with 3+ years of experience building models for business applications, focusing on machine learning, NLP, computer vision, automated reasoning, robotics, or quantum technologies. The role involves owning the design and development of end-to-end systems, creating technical roadmaps, and driving production-level projects for Amazon Science. Requires experience in patents or publications at top-tier conferences/journals and programming in Java, C++, or Python. | Ship | 7 |
| Software Development Engineer, RecsAI Software Development Engineer role focused on building and operating features for Amazon's next-generation recommendation system (RecsAI), which is built on a custom-trained LLM for shopping. The role involves designing and delivering end-to-end solutions at Amazon scale, integrating LLMs into real-time recommendation experiences, and collaborating with product and science teams. | Ship | 7 |
| Software Development Engineer, Prime Video Sports Software Development Engineer role at Amazon Prime Video focusing on personalization and Computer Vision/Machine Learning to enhance customer viewing experiences. The role involves owning architecture, designing and building scalable solutions, and tackling complex technical challenges from data pipelines to large-scale services, with a focus on deploying ML models in production. | Ship | 7 |
| Applied Scientist I, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on enhancing customer playback quality of experience through machine learning and data science. Responsibilities include optimizing video streaming, anomaly detection, integrating new algorithms, and defining research directions. The role involves working with LLMs and generative AI, with a focus on translating research into practical applications and improving customer experience. | ShipPost-train | 7 |
| Applied Scientist II, Customer360 Research and develop new AI technologies for personalization using recommendations, information retrieval, and large language models. Build large-scale ML solutions for customer experiences. | Ship | 7 |
| Senior Applied Scientist, Workplace Health & Safety Senior Applied Scientist focused on transforming research into scalable, real-world solutions for Workplace Health & Safety, leading end-to-end design, development, and deployment of large-scale scientific systems, and mentoring junior scientists. | Ship | 7 |
| Data Scientist, Amazon Music - DISCO Data Scientist role at Amazon Music focused on building and deploying predictive models for customer acquisition, retention, and engagement strategies. The role involves leading research and development, partnering with stakeholders, and evaluating the impact of growth campaigns and algorithmic interventions through experimentation. | Ship | 7 |
| Sr. Technical Program Manager, AI Studios Sr. Technical Program Manager to drive the delivery of AI-powered production capabilities for Prime Video and Amazon MGM Studios. The role involves managing end-to-end delivery across Engineering, Product, Applied Science, UX, and creative production teams, translating production requirements into technical execution plans, managing dependencies, and ensuring delivery against ambitious milestones for an AI-native production platform called Nara. | Ship | 7 |
| Applied Scientist, Safe Control, Amazon Robotics, Compass This role focuses on developing and implementing Control Barrier Function (CBF) algorithms for Amazon's robot fleet, ensuring safety and reliability in real-world conditions. The scientist will bridge the gap between theoretical mathematics and practical hardware implementation, addressing challenges like sensor noise and computational budgets, with the goal of achieving third-party safety certification. | Ship | 7 |
| SDE II, Amazon India Ads Software Development Engineer II (SDE II) for Amazon India Ads, focusing on building scalable, low-latency AI/ML solutions for digital advertising. The role involves designing and implementing ML infrastructure for recommendations, ads ranking, personalization, and search, integrating generative AI and LLMs. Responsibilities include working with modern AI/ML technologies, driving technology choices, contributing to technical direction, coding and supporting distributed systems, implementing AI-powered products, and owning product operations with a focus on responsible AI. | ShipAgent | 7 |
| SDE II, Amazon India Ads Software Development Engineer II (SDE II) for Amazon India Ads, focusing on building scalable, low-latency AI/ML solutions for digital advertising. The role involves designing and implementing ML infrastructure for recommendations, ads ranking, personalization, and search, integrating generative AI and LLMs. Responsibilities include working with modern AI/ML technologies, driving technology choices, contributing to technical direction, coding and supporting distributed systems, implementing AI-powered products, and owning product operations with a focus on responsible AI. | ShipAgent | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate on requirements, and advise on industry trends, ultimately helping customers achieve their business outcomes through AWS AI/ML services. The role involves working with customers to build and deploy models, with a focus on the end-to-end solution. | ShipServe | 7 |
| Delivery Consultant- GenAI/ML & Data Science, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers, acting as a trusted advisor and providing technical guidance throughout the project lifecycle. It involves understanding customer needs, proposing solutions, and ensuring successful deployment and optimization of AI/ML services. | ShipServe | 7 |
| Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and delivering GenAI and ML applications for enterprise customers on AWS. The consultant will act as a trusted advisor, providing technical guidance and collaborating with stakeholders to build custom AI tools and solutions, with a strong emphasis on customer success and project delivery. | Ship | 7 |
| Applied Scientist II, Sponsored Products Applied Scientist II role focused on building and deploying generative AI technologies for Amazon's Sponsored Products and Brands advertising platform, with a focus on video content. The role involves developing new solutions, evaluating technologies, and mentoring other scientists, while working with LLMs and production environments. | ShipServe | 7 |
| Software Development Engineer - II, FinTech - Machine Learning Software Development Engineer II role in Amazon's FinTech group, focusing on building and deploying machine learning applications for transaction analysis, fraud detection, and financial process optimization. The role involves working with large datasets, collaborating with scientists and business teams, and applying ML techniques like forecasting, classification, and anomaly detection, including Generative AI and LLMs. | Ship | 7 |
| Applied Scientist, Stores Economics & Science (SEAS) Applied Scientist role focused on economics and science within Amazon's Stores organization, applying expertise in machine learning, NLP, IR, statistics, and economics to solve business problems related to cost-to-serve, selection optimization, and emerging machine learning. The role involves leading initiatives from research to production, developing and maintaining scientific models, and designing algorithms and mechanisms for supply chain and marketplace challenges. | Ship | 7 |
| Senior Applied Scientist, Japan Prime & Marketing Senior Applied Scientist role focused on building and deploying machine learning models for personalization, customer growth, and optimization within Amazon's Japan Prime & Marketing division. The role involves end-to-end ownership from problem formulation to production deployment, with a focus on impacting millions of customers and influencing business strategy. Requires experience in ML model development, A/B testing, causal inference, and collaboration with engineering teams for low-latency systems. | ShipAgent | 7 |
| Applied Scientist II, Conversational Ad Experiences The role focuses on applying generative AI and LLMs to create conversational ad experiences for Amazon. Responsibilities include defining science roadmaps, building and deploying models, running experiments, and collaborating with engineers and product managers. The goal is to enhance customer experience and advertiser reach through innovative AI solutions in the advertising domain. | ShipPost-train | 7 |
| Sr SDE, Amazon India Advertising Senior Software Engineer role focused on building and deploying ML/AI models for digital advertising, including recommendation, ads ranking, personalization, and search. The role involves the full ML lifecycle from data preparation and fine-tuning to production deployment and monitoring, with an emphasis on scalable, low-latency systems and leveraging generative AI and LLMs. | ShipPost-train | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance The Senior Manager, Applied Science, AWS Compliance & Security Assurance role focuses on leading a team that builds and operates automated reasoning technology for security and privacy assurance across Amazon and AWS. The role involves owning the technical vision and roadmap for static analysis capabilities, driving innovation in program analysis, and managing a team of applied scientists. Key responsibilities include technical leadership, hands-on contribution to research and design, team building, product integration with security and service teams, advancing the state of the art in static program analysis, and stakeholder engagement. | Ship | 7 |
| Manager, Data Science Manager for a Data Science team focused on building and deploying ML models for ASIN classification within Amazon's compliance programs. The role involves leading a team, defining roadmaps, owning end-to-end delivery, driving architecture, and ensuring production monitoring and scalability. Experience with LLMs, multi-modal learning, and production ML environments is required. | ShipServe | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery, leading a team of engineers to build and deliver AI-first personalization models and services at scale for customer recommendations on the PV Homepage. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on ML and experimentation to improve content surfacing. | Ship | 7 |
| Applied Scientist, EU International Technologies Applied Scientist role focused on improving Amazon's product search service by developing and deploying ML solutions for query understanding, ranking, and personalization. The role involves analyzing data, designing and building ML models, evaluating them through offline and online tests, and publishing research. It requires knowledge of ML fundamentals, transformer architectures, and training/inference lifecycles, with a focus on delivering customer-facing improvements in a production environment. | ShipServe | 7 |
| Applied Scientist II, Seller Fulfillment Services (SFS) Applied Scientist II role focused on building and improving machine learning models for Amazon's Seller Fulfillment Services (SFS) to enhance selection, delivery, and seller experience. The role involves research, design, implementation, testing, and deployment of science solutions, collaborating with cross-functional teams, and working with large datasets and scalable inference methods. | Ship | 7 |
| Sr. Applied Scientist, Amazon Music - Catalog Sr. Applied Scientist at Amazon Music focused on developing and scaling AI/ML solutions for music understanding, curation, and engagement. The role involves shaping scientific direction, identifying GenAI and multimodal AI opportunities, and collaborating with engineering and product teams to launch scalable AI solutions that improve music discovery and personalization. Key responsibilities include inventing innovative AI/ML solutions, driving rigorous experimentation, and providing architectural guidance. | Ship | 7 |
| Senior Applied Scientist, Applied AI Solutions GTM Senior Applied Scientist role focused on building and deploying production AI solutions for enterprise customers within AWS. The role involves developing ML models and pipelines to drive business outcomes, quantify value, and enable field teams. It requires experience in deep learning, NLP, generative AI, and translating technical findings into business decisions, with a focus on scaling AI impact for customers. | ShipData | 7 |
| Zappos Data Scientist II, Zappos/Shopbop Catalog Engineering Data Scientist II on the Shopbop/Zappos Catalog Tech team responsible for designing and implementing ML approaches to improve catalog data quality, automate data capture and classification, and develop image classification systems. The role involves partnering with engineering teams, influencing product decisions with data-driven insights, and leveraging ML technologies in an e-commerce context. The day-to-day includes reviewing model performance, developing new approaches using LLMs, advising on model architecture, and analyzing A/B test results. | ShipAgent | 7 |
| Applied Scientist, Amazon Shopping Personalization Research Scientist role focused on developing and launching new AI technologies for Amazon's Personalization organization, specifically in recommendation systems and large language models, impacting millions of customers. | ShipAgent | 7 |
| Principal Product Manager - Tech, Personalization This role is for a Principal Product Manager, Tech, focusing on personalization for Amazon's prominent pages. The role involves leading the product roadmap for tailoring customer experiences using state-of-the-art machine learning techniques like reinforcement learning and deep learning to build scalable, real-time systems. The goal is to create personalized shopping experiences that act as a personal shopping assistant, driving innovation in recommender systems and optimizing content across Amazon. | ShipAgent | 7 |
| Applied Scientist II, US Prime and Marketing Tech The Discovery Tech team at Amazon is seeking an Applied Scientist II to build and optimize critical services for marketing and merchandising using machine learning models. The role focuses on developing data-driven, scalable ML solutions for product recommendation to enhance customer experience and enable intelligent marketing campaigns. | Ship | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on designing and executing experiments to measure the effectiveness of marketing campaigns at Amazon scale. The scientist will build measurement frameworks, apply causal inference methods, and establish experimental standards for lifecycle marketing, ultimately guiding marketing strategy and investment decisions. The role is within the consumer domain and involves scaling existing AI/ML applications. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building and designing next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models, including LLMs and GenAI, and leveraging AWS infrastructure for distributed systems at scale. | Ship | 7 |
| Software Development Manager, Amazon Rufus This role is for a Software Development Manager at Amazon, focused on building a new generative AI-powered shopping and search experience. The goal is to create intuitive, conversational interfaces that synthesize complex information and provide trustworthy recommendations, aiming to make AI shopping a major business pillar for Amazon. The role involves leading engineers, scientists, and product leaders to innovate and deliver AI products at scale. | Ship | 7 |
| Applied Scientist, Advertising The role focuses on designing and implementing deep learning models for ad matching in Amazon's programmatic advertising products. It involves optimizing ad selection based on customer behavior and contextual information to predict conversion propensity, ultimately driving better campaign outcomes for multi-billion dollar businesses. The work impacts high-throughput production systems and requires collaboration with engineers and product teams. | Ship | 7 |
| Software Development Engineer II, Project Dawn Software Development Engineer II role focused on building and owning end-to-end generative AI-powered systems for Amazon's customer-facing shopping experiences, including offer extraction, product enrichment, and AI-powered selection tools. The role involves designing, developing, and maintaining services leveraging LLMs and deep learning models at internet scale, collaborating with scientists, and leading technical strategy for data enrichment, model optimization, and evaluation. | ShipServe | 7 |
| Principal Technical Program Manager, WHS Data-Tech Principal Technical Program Manager for Amazon's Workplace Health & Safety Data-Tech team, focusing on AI and computer vision systems to prevent workplace safety incidents. The role involves owning program strategy, roadmap, and delivery, partnering with scientists and engineers to move research to production, and managing complex technical challenges across multiple teams. Requires deep fluency in AI/ML systems and experience in program management, software development, and cross-functional collaboration. | ShipServe | 7 |
| Software Development Engineer, FinTech - Machine Learning Software Development Engineer role focused on building machine learning applications for FinTech, specifically for transaction analysis, anomaly detection, and fraud prevention within Amazon's finance operations. The role involves developing ML pipelines, utilizing Generative AI and LLMs, and collaborating with scientists and business teams to drive efficiencies and insights at scale. | Ship | 7 |
| Senior Product Manager - Tech, Prime Video Personalization & Discovery Senior Product Manager - Tech for Prime Video Personalization & Discovery, focusing on owning the vision, strategy, and roadmap for core recommendations powered by ML models. The role involves collaborating with scientists and engineers, defining metrics, leading A/B testing, and making trade-off decisions for production-ready solutions. | Ship | 7 |
| Applied Scientist I, Amazon Shipping This role focuses on building and scaling large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The scientist will guide model and system design using various ML techniques including deep learning and LLMs, ensure production readiness, and partner with stakeholders to drive decision-making and business metrics. | Ship | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing new AI technologies for personalization in e-commerce, specifically using LLMs, fine-tuning, and recommendation systems. The role involves research, design, development, and launching new features and products, with a strong emphasis on customer impact and innovation. | ShipPost-train | 7 |
| Applied Scientist , Rufus Experience Science The Rufus Experience Science team at Amazon is looking for a Scientist to build next-generation conversational shopping experiences. This role involves developing data-driven solutions, delivering and maintaining software and models in production, and collaborating cross-functionally. The ideal candidate will have experience implementing algorithms and a publication record at top-tier conferences. | Ship | 7 |
| Sr. Applied Scientist, WW Promotions Science This role focuses on applying and developing machine learning models for promotional strategies within Amazon's consumer-facing business. The scientist will invent, adapt, and implement new scientific approaches, models, and algorithms to personalize, recommend, rank, and optimize promotions, ultimately driving business decision-making and improving the customer shopping experience. The role involves research, implementation, and analysis of models deployed into production. | Ship | 7 |
| Applied Scientist II, Vertical Search Relevance This role focuses on building and deploying machine learning models for Amazon's Product Search, specifically developing new ranking features and techniques. The scientist will be responsible for the full development cycle, from design and implementation to A/B testing and production deployment, aiming to improve search relevance and customer experience at scale. | Ship | 7 |
| Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Sr. Applied Scientist role focused on building and deploying scalable ML models and optimization solutions for Amazon's Private Brands retail business. The role involves translating business requirements into concrete deliverables, working with large-scale datasets, and applying expertise in ML, Optimization, Statistics, Causal Inference, and Reinforcement Learning to drive business decisions and improve operations. Experience with distributed systems and Operations Research is highly valued. | Ship | 7 |
