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 Applied Scientist, Prime Video Personalization & Discovery Principal Applied Scientist role at Prime Video focused on inventing, developing, and deploying AI solutions for personalization and discovery. The role involves technical and strategic leadership, guiding ML systems from research to production, and mentoring scientists. Key responsibilities include prototyping and productionizing large-scale AI solutions using deep learning, generative AI, RL, and optimization, providing technical leadership, designing A/B tests, driving technical bar-raising, and staying ahead of industry trends. The team focuses on creating a highly personalized content discovery experience using ML and Generative AI. | ShipPost-train | 8 |
| Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center |
| ShipPost-train |
| 8 |
| Applied Scientist, Devices & Services Applied Scientist role focused on developing and implementing AI, computer vision, machine learning, and robotics solutions for customer-facing products and devices. The role involves establishing scalable processes for data analysis and model development, specifying and implementing robotic system functionality, and collaborating with cross-functional teams to deliver innovative intelligent systems at scale. | Ship | 8 |
| Applied Scientist, Brand Protection Machine Learning Applied Scientist role focused on building and deploying Generative AI solutions for Brand Protection using NLP, computer vision, and LLMs. The role involves end-to-end ownership from conception to launch, collaborating with product and engineering teams, and analyzing data to solve complex business problems at scale. | Ship | 8 |
| Senior Applied Scientist, Alexa Ads Senior Applied Scientist role at Amazon focusing on Generative AI for Alexa Conversational Ads and Personalization. Responsibilities include defining scientific vision, leading ML projects, architecting large-scale ML systems, mentoring junior scientists, and collaborating with product/engineering. Requires experience in building ML models for business applications, ML/LLM fundamentals, and large-scale systems. Preferred experience in ad tech and building ML models for recommendations, ads ranking, personalization, or search. | ShipAgent | 8 |
| Applied Scientist, Geospatial & Safety Science Applied Scientist role focused on leveraging computer vision, generative AI, and deep learning to enhance vehicle navigation and ensure safe, efficient deliveries by analyzing multimodal data. The role involves building large-scale ML systems, translating business requirements into prototypes, and optimizing models for production and edge devices. | ShipPost-train | 8 |
| Senior Applied Scientist, Special Projects Senior Applied Scientist role focused on building state-of-the-art ML models for healthcare challenges within Amazon's Special Projects team. The role emphasizes practical implementation, driving ML advancements, and delivering products to market in an entrepreneurial, startup-like environment. Requires a strong background in AI/ML, leadership skills, and the ability to translate research into actionable plans and practical solutions. | Ship | 8 |
| Applied Scientist II, Kiro Science Applied Scientist II role focused on building AI-based services for Amazon Q Developer, aiming to redefine developer workflows. The role involves working on ambiguous problem areas, driving the delivery of end-to-end modeling solutions, and collaborating with other AWS AI services. The team builds AI products deployed in IDEs, AWS console, and web tools, providing developers with AI assistants for code generation and AWS interaction. | Ship | 8 |
| Sr. Applied Scientist, Amazon Ads Senior Applied Scientist at Amazon Ads focusing on applying cutting-edge generative AI and LLMs to the advertising life cycle. The role involves researching, developing, and deploying ML solutions for ranking, personalization, NLP, computer vision, recommender systems, and LLMs. It requires driving end-to-end projects, building and optimizing models, running A/B experiments, and developing scalable ML processes. The role emphasizes impacting millions of customers and advertisers through innovative ML solutions at massive scale. | ShipServe | 8 |
| Applied Science Manager III, RBKS AI Manager for an Applied Science team focused on innovating AI features for Ring and Blink cameras, combining computer vision and generative AI for home security. The role involves leading the team in developing and productizing advanced CV and GenAI models, driving technical strategy for privacy-preserving solutions, and ensuring delivery of high-quality science artifacts for customer-facing products. | ShipPost-train | 8 |
| Sr. Manager, Applied Science, Sponsored Products and Brands Senior Manager role leading a team of Applied Scientists and Engineers to develop and deploy generative AI solutions for Amazon's Sponsored Products and Brands advertising platform, focusing on multi-lingual and multi-modal applications to drive growth in non-US markets. | Ship | 8 |
| Applied Scientist III, RBKS AI The RBKS AI team at Amazon is seeking Applied Scientists to innovate AI features for Ring and Blink cameras, focusing on the intersection of computer vision, generative AI, and ambient intelligence. The role involves productizing research into advanced computer vision and multimodal GenAI models for video understanding, object detection, and real-time applications, with an emphasis on privacy-preserving, efficient fine-tuning, and on-device/in-cloud inference. The goal is to ship AI solutions that enhance home security for millions of customers. | ShipPost-train | 8 |
| Applied Scientist II, Strategic Account Services (SAS) Applied Scientist II role focused on developing and deploying sophisticated AI solutions for Amazon's Strategic Account Services (SAS) organization, leveraging deep learning, LLMs, and advanced ML techniques to improve seller operations and internal consultancy. The role involves end-to-end development from research to production, including architecting recommendation and optimization systems, pioneering applications of foundation models, and conducting rigorous A/B experiments. | ShipServe | 8 |
| Sr. Delivery Consultant - AI/ML, WWPS ProServe Senior Delivery Consultant for AI/ML within AWS Professional Services, focusing on designing, implementing, and scaling Generative AI solutions for enterprise customers. The role involves working directly with clients to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. Requires a Top Secret security clearance. | ShipPost-train | 7 |
| Sr Data Scientist, Amazon - Vertical Ads Seeking an experienced Sr Data Scientist to drive innovation in Amazon's Ads Foundational Model. This role involves developing and deploying ML models using computer vision, NLP, and deep learning to enhance ad effectiveness and customer experience, leveraging Amazon's data to create predictive models and actionable recommendations for advertising solutions. | Ship | 7 |
| Senior Security Engineer, AI Security Senior Security Engineer focused on designing and implementing security controls for Amazon's AI/ML services and applications, ensuring they meet high security standards throughout the SDLC. Responsibilities include security reviews, threat modeling, penetration testing, automation development, and influencing stakeholders. | Ship | 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 utilizing Generative AI and LLMs to drive efficiencies and insights in finance operations. | Ship | 7 |
| Applied Scientist II, Amazon Search Applied Scientist II role focused on developing and improving large-scale machine learning systems for Amazon Search, specifically in ranking, reinforcement learning, and LLMs to enhance the customer shopping experience. The role involves building systems that generate content and assemble coherent page experiences, directly impacting millions of customers. | ShipServe | 7 |
| Sr. Applied Scientist- P13N Amazon is seeking an Applied Scientist to build next-generation ML systems for personalization in their e-commerce platform. The role involves applying state-of-the-art science and research, including Generative AI, LLMs, transformers, sequence models, and reinforcement learning, into production to enhance customer shopping experiences. The scientist will work on large-scale machine learning systems, leverage petabytes of data, and contribute to the science roadmap of personalization. | Ship | 7 |
| Machine Learning Engineer, AICE - AI Center of Excellence Machine Learning Engineer at Amazon's AI Center of Excellence (AICE) responsible for the end-to-end development and deployment of AI/ML primitives that power Amazon's intelligent systems. This role involves ideation, experimentation, architecture, implementation, testing, and production deployment of reusable AI capabilities for enterprise-wide consumption, with a focus on reliability, scalability, and operational excellence. | Ship | 7 |
| Delivery Consultant- AI/ML, WWPS ProServe Delivery Team This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and optimize performance. The role involves a blend of customer advisory, technical implementation, and solution architecture. | ShipPost-train | 7 |
| Sr. Applied Scientist, Silk Senior Applied Scientist role at Amazon Silk team focused on building AI-powered browsing experiences. This role involves defining and developing the future of web browsing using LLMs, generative AI, recommender systems, and NLP to create intelligent, personalized, and useful consumer software experiences. The position requires leading research, designing scalable AI solutions, driving data analysis, and collaborating with engineering teams to bring ML innovations to production, impacting millions of users. | Ship | 7 |
| Senior Applied Scientist, International Machine Learning This role focuses on building and deploying machine learning models for consumer business applications within Amazon's International Machine Learning team. The scientist will analyze large datasets, design, develop, evaluate, and deploy scalable predictive models, and work with engineering teams to implement these models in production. The role also involves establishing automated processes for model development and maintenance, and mentoring other scientists and engineers. | ShipServe | 7 |
| Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and delivering Generative AI and Machine Learning solutions for enterprise customers on AWS. The consultant will act as a trusted advisor, guiding customers through the entire project lifecycle, from requirements gathering and strategy to deployment and optimization, with a strong emphasis on producing custom AI-native deliverables and leveraging AWS AI/ML services. | ShipServe | 7 |
| Software Development Manager, Healthcare AI Software Development Manager for AWS Healthcare AI, leading teams to build innovative AI-powered healthcare solutions using generative and agentic AI to transform clinical and administrative workflows. Focus on improving patient care and operational efficiency. | ShipAgent | 7 |
| Senior Applied Scientist, Sponsored Products and Brands -- Offsite Senior Applied Scientist role focused on building and launching end-to-end AI solutions for Sponsored Products and Brands, specifically extending campaigns beyond the Amazon store to third-party environments. The role involves designing and implementing large-scale, low-latency systems using advanced ML and AI, conducting A/B experiments, and identifying opportunities for GenAI acceleration. It also includes defining science vision, mentoring junior scientists, and staying updated on the latest modeling techniques. | Ship | 7 |
| Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI This role involves designing, implementing, and managing end-to-end AI/ML and Generative AI solutions for enterprise clients on AWS. The engineer will prepare data, develop models, deploy solutions, and architect scalable ML pipelines and MLOps using AWS services, focusing on delivering business value through AI adoption. | ShipServe | 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role focused on developing and deploying generative AI solutions for Amazon's Sponsored Products and Brands advertising business. The role involves building monetization and optimization systems, defining science roadmaps, conducting A/B experiments, and staying updated on the latest modeling techniques. Requires experience in building models for business applications and digital advertising technology. | Ship | 7 |
| Applied Scientist, WHS Data-Tech Applied Scientist role focused on developing and deploying computer vision and ML models for workplace safety applications in industrial settings. The role involves designing, training, and productionizing models for tasks like activity recognition, anomaly detection, and risk prediction using video, image, and sensor data. Collaboration with software engineers for deployment and optimization is key, with a focus on real-world impact and measurable safety outcomes. | ShipServe | 7 |
| Senior Applied Scientist , Sponsored Products Senior Applied Scientist role focused on leveraging generative AI and ML to revolutionize advertising experiences within Amazon Ads. The role involves leading full lifecycle ML projects, from research and development to deployment and scaling, with a focus on enhancing customer shopping experiences and driving business monetization through predictive modeling, reinforcement learning, and experimentation. | 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 |
| Applied Scientist II, Detail Page Applied Scientist II role on Amazon's Product Detail Page team, focusing on developing and optimizing algorithms for customer experience on Amazon's website. This involves leveraging machine learning, NLP, and big data technologies to improve product discovery and pricing. The role requires building models for business applications, with opportunities to present to executives and work with senior scientists on technical standards. | Ship | 7 |
| Principal Applied Scientist, Amazon Ads Management Principal Applied Scientist role at Amazon Ads Management focusing on developing and deploying ML solutions for full-funnel advertising campaigns. The role involves working with leadership on AI/ML strategy, adopting SOTA technologies, and shipping large-scale recommender systems. Requires significant applied ML experience and a track record of delivering customer-facing ML products. | Ship | 7 |
| Senior Deep Learning Architect, AWS Gen AI Innovation Center This role focuses on designing, implementing, and fine-tuning state-of-the-art Generative AI solutions for AWS customers, working directly with them to understand business problems and guide them towards production. It involves collaborating with AI/ML scientists and architects, creating best practices, and providing customer feedback to product teams. The role requires experience managing and deploying ML products, customer-facing engagement, and building/operating cloud solutions. | ShipPost-train | 7 |
| Senior Applied Scientist, Last Mile Senior Applied Scientist role focused on developing and optimizing machine learning models and algorithms for Amazon's Last Mile delivery network. The role involves building solutions for capacity management, system policies, and optimizing delivery operations, with a strong emphasis on operations research and analytical skills. Candidates will be responsible for end-to-end model development, from data analysis to production system implementation, and will also mentor junior scientists. | Ship | 7 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role is for a Builder Solution Architect on the AWS Product Marketing Demo Engineering team. The primary responsibility is to design and implement production-quality technical demonstrations, sample code, and starter projects for AWS services, particularly focusing on Generative AI and Machine Learning. The role involves collaborating with various teams (field, GTM, service, cross-functional stakeholders) to understand use cases and develop demonstration solutions. The architect will also contribute to demo standards, best practices, and knowledge sharing through blogs and reference architectures. The role emphasizes software development skills to create showcases for new products and features, working in ambiguous environments and learning new concepts quickly. | Ship | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science This role is for a Delivery Consultant on the AWS Professional Services team, focusing on implementing end-to-end AI/ML and Generative AI solutions for enterprise customers in the life sciences industry. The consultant will design, implement, and manage AWS AI/ML and GenAI solutions, working closely with customers to understand their needs, architect scalable solutions, and ensure successful adoption. Responsibilities include data preparation, model development, deployment, monitoring, MLOps, and acting as a trusted advisor. | ShipServe | 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. | 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 |
| 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 |
| 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 |
| 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 |