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 |
|---|---|---|
| Applied Scientist, Last Mile Delivery Automation This role focuses on developing AI and ML solutions for last mile delivery automation, combining expertise in machine learning, computer vision, and robotics to solve complex challenges in perception, navigation, and path planning. The scientist will research, design, and implement algorithms, transforming research concepts into production-ready solutions for autonomous systems. | ShipAgent | 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, Alexa Ads Applied Scientist role focused on building Generative AI models for conversational ads and personalization within the Alexa ecosystem. Responsibilities include designing, developing, and evaluating ML models for NLP, recommendation systems, and personalization, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating on production deployment. | ShipPost-train | 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 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship focused on machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. The role involves designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Interns will work closely with scientists to develop and deploy solutions, design new algorithms and models, and potentially publish work at top-tier conferences. | 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 |
| Principal Data Scientist, WWPS ProServe Principal Data Scientist role at Amazon ProServe, focusing on architecting and implementing enterprise-scale AI/ML and generative AI solutions for customers. Requires technical leadership, strategic advisory, and developing reusable frameworks. Involves customer-facing engagements and mentoring junior data scientists. Requires Top Secret clearance. | ShipServe | 8 |
| Principal Data Scientist, WWPS ProServe Principal Data Scientist role at Amazon ProServe, focusing on architecting and implementing enterprise-scale AI/ML and generative AI solutions for AWS customers. Requires technical leadership, strategic advisory, and driving customer adoption of AWS AI/ML services. Involves leading complex initiatives, translating business challenges into technical solutions, and developing reusable frameworks. Requires a Top Secret security clearance. | ShipServe | 8 |
| Sr. Applied Scientist, AWS Healthcare-AI Senior Applied Scientist at AWS Healthcare AI focused on developing and researching AI-driven clinical solutions to transform patient-clinician interaction and care documentation. The role involves leading research, developing new ML techniques, and ensuring research translates into impactful products, with a focus on generative AI experiences. | ShipPost-train | 8 |
| Personal Robotics Group - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, HRI and more) PhD intern/co-op role in Amazon's Personal Robotics Group focusing on research and development of intelligent robotic products, including Amazon Astro. The role involves working on the full spectrum of robotics, from hardware design to software and control systems, with a focus on manipulation, locomotion, and human-robot interaction. Requires a PhD in a relevant field and experience in programming languages like Python, C++, or Java. | ShipAgent | 8 |
| Software Development Manager, Devices & Services Trust CX Innovations Software Development Manager for Amazon's Devices & Services Trust CX Innovations team, focusing on building and scaling teams that deliver privacy-first, accessible, and trustworthy AI experiences for consumer devices like Alexa and Echo. The role involves driving technical strategy for privacy-preserving AI architectures, responsible AI frameworks, and accessibility features, while balancing performance with privacy, building explainable AI systems, and creating guardrails for LLMs. Key challenges include latency vs. privacy trade-offs, AI safety at scale, ambient computing privacy, multimodal AI systems, and real-time evaluation. | ShipEval Gate | 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 |
| Sr Manager, Applied Science, Alexa Connections Senior Manager of Applied Science for Alexa Connections, leading a team to build LLM-powered communication features for millions of users. Focuses on end-to-end applied science projects, from ideation to deployment and monitoring, with an emphasis on scaling ML models and AGI/LLM systems for consumer applications. | ShipPost-train | 8 |
| Amazon Industrial Robotics - Applied Scientist II Intern / Co-op - 2026, Amazon Industrial Robotics This role focuses on developing next-generation advanced robotics systems by combining AI, control systems, and mechanical design for automation at Amazon's scale. The intern will contribute to research bridging theoretical advancements and practical implementation in robotics, focusing on areas like dexterous manipulation, locomotion, and human-robot interaction, leveraging deep learning and LLMs. | Ship | 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 |
| Principal Applied Scientist, Sponsored Products and Brands Principal Applied Scientist role focused on developing and deploying generative AI solutions for Amazon's Sponsored Products and Brands advertising platform. The role involves defining science vision, building ML/LLM models for advertiser and shopper experiences, optimizing campaign performance, and leading scientific rigor. Requires strong ML, LLM, and GenAI expertise with experience in production systems and digital advertising. | 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 |
| Sr. Applied Scientist, Global Hiring Science This role focuses on applying machine learning and AI to reinvent the hiring process at Amazon, aiming for scale, sophistication, and accuracy in talent acquisition. The scientist will work on state-of-the-art research, advanced software tools, new AI systems, and ML algorithms, leveraging Amazon's tech stack to deliver innovative solutions for hiring. | 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 |
| Sr. Delivery Consultant-AI/ML, ProServe This role involves guiding enterprise customers in building and deploying ML/DL models on AWS, from understanding business needs to operationalizing models and addressing model drift. It requires experience with deep learning frameworks and ML platforms. | ShipPost-train | 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 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed improvements to pricing algorithms for billions of Amazon products, leveraging large-scale multi-modal datasets and predictive modeling, causal evaluation, and optimization techniques. | Ship | 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 Sofware Development Manager, Core Shopping Senior Software Development Manager to lead a new 0→1 initiative focused on reinventing how customers discover, organize, and share across Amazon Lists, applying state-of-the-art AI. The role involves leading a team of engineers, transforming systems with AI-native development, owning technical strategy and delivery, and integrating Generative AI/LLM technologies. | ShipAgent | 7 |
| Sr. Mgr, GenAI/ML Specialist Solutions Architects This role is for a Sr. Manager, GenAI/ML Specialist Solutions Architects at AWS, focusing on scaling the GenAI/ML business within specific industry segments (Auto/Mfg, Media & Entertainment). The individual will lead a team of Solutions Architects, define technical strategy, and partner with sales and product teams to drive customer adoption and growth of AWS's GenAI/ML services. The role requires strong leadership, deep technical understanding of AI/ML services, and experience in enterprise customer-facing roles. | Ship | 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 |
| Research Scientist, Safety-Critical Control, Robotics, SAF Lab Research Scientist focused on developing Control Barrier Function (CBF) theory and algorithms for safety-critical control in robotics. The role involves creating algorithms with formal safety guarantees, integrating them with learned control policies, and deploying them on next-generation robots. Key responsibilities include developing novel CBF algorithms, framing safety filtering within layered architectures involving learning-based components, designing multi-layer CBF filters, and formalizing the interplay between models and system dynamics. The role also requires implementing real-time optimization solvers, validating algorithms through simulation and hardware experiments, and contributing to theoretical foundations through publications. Collaboration with various teams and product leaders is essential for setting a science roadmap. | ShipServe | 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 |