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 - LLM, Alexa Conversational Modelling Intelligence Applied Scientist II in Alexa Conversational Modelling Intelligence team focused on LLM post-training (SFT, RLHF, preference optimization) for Alexa+. Drives model development from data curation through training, evaluation, and deployment. Builds evaluation frameworks, diagnoses defects, and iterates on recipes. Collaborates with scientists and engineers, contributes to tooling, and publishes research. Aims to improve customer experience for millions. | Post-trainServe | 9 |
| Applied Scientist II, AFT AI, Amazon AFT AI Applied Scientist II role focused on developing and deploying agentic AI solutions and multi-modal deep learning models for Amazon's Fulfillment Network. The role involves working with large-scale, real-world datasets (imagery, natural language, structured data) to solve complex problems like warehouse operations and visual defect detection, pushing the state-of-the-art in optimizing fulfillment systems. |
| AgentPost-train |
| 9 |
| Applied Scientist, Amazon Robotics Research scientist role focused on combining LLMs with classical AI reasoning for robotics and automation applications. The role involves generating plans, verifying correctness, learning strategies, and self-improving models, with an emphasis on publishing research and applying technology to operational problems. | Agent | 9 |
| Applied Scientist, Amazon Robotics Research scientist role focused on combining LLMs with classical AI reasoning for robotics and automation applications. The role involves generating plans, verifying correctness, learning strategies, and self-improving models, with an emphasis on publishing research and applying technology to operational problems. | Agent | 9 |
| Sr. Applied Scientist, Amazon Robotics The role focuses on building AI reasoning systems that combine classical AI reasoning with Large Language Models (LLMs) for applications in robotics, automation, and fulfillment. The scientist will innovate on techniques for plan generation, verification, learning reasoning strategies, and self-improving models, with an emphasis on publishing research in leading AI venues. | AgentPost-train | 9 |
| Applied Scientist III, AFT AI, Amazon AFT AI Develop agentic AI and multi-modal deep learning models for Amazon's Fulfillment network, focusing on understanding warehouse operations and visual defect detection. This role involves working with large, diverse datasets and applying cutting-edge AI techniques to solve complex, real-world problems at scale, with a strong emphasis on production deployment and iterative improvement. | AgentPost-train | 9 |
| Applied Scientist Applied Scientist role at Audible focusing on developing and productionizing ML/AI models for various applications including NLP, RL, and Generative AI. The role involves inventing scientific approaches, building scalable solutions, and collaborating with engineering and product teams to deliver customer-facing features and foundational capabilities. | Ship | 8 |
| Head of Applied Science The Head of Applied Science at Audible will manage research teams, drive technical vision and strategy, and translate complex business requirements into production-ready ML solutions. This role involves leading the full development cycle from research to maintenance, evaluating new ML technologies, and collaborating across science, engineering, and product teams to deliver customer-facing AI products. | Ship | 8 |
| Postdoctoral Scientist, Amazon Robotics R&D Postdoctoral Scientist role in Amazon Robotics R&D focusing on computer vision and robotic manipulation for automating picking operations in fulfillment centers. The role involves developing ML solutions for robots to identify and interact with items in cluttered 3D scenes in real-time, with a focus on pushing research boundaries and deploying innovations to real warehouses. | ShipData | 8 |
| Applied Science Manager, AWS Generative AI Innovation Center Manager for an AWS Generative AI Innovation Center focused on building and delivering generative AI solutions for customers, managing a team of scientists and engineers, and driving adoption and strategic relationships. | ShipPost-train | 8 |
| 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 |
| Software Dev Engineer Intern Machine Learning, Amazon Robotics Software Development Engineer Intern Machine Learning, Amazon Robotics. The role involves simplifying ML training infrastructure, extending monitoring of ML trainings, and potentially developing perception models for warehouse robots. It requires experience with AI, Neural Networks, Tensorflow, and PyTorch, and focuses on building scalable ML solutions within a robotics context. | Data | 7 |
| Applied Scientist, Amazon Robotics R&D Applied Scientist role focused on researching, designing, and implementing computer vision and decision-making algorithms for robotic systems, with a strong emphasis on integrating machine learning and delivering customer-facing results. The role involves creating experiments, prototyping new algorithms, and collaborating with engineering teams for scalable, real-time implementations, ultimately shipping AI-powered robotic products. | ShipData | 7 |
| Sr. Robotics Software Engineer, Amazon Robotics This role involves architecting, designing, and implementing robotic software applications and infrastructure, with a focus on integrating machine learning models and optimizing system performance for Amazon's robotic systems. The engineer will collaborate with various teams to deliver end-to-end robotic solutions. | Agent | 7 |
| Postdoctoral Scientist, Amazon Robotics Postdoctoral Scientist role in Amazon Robotics focusing on computer vision and manipulation challenges in warehouses, involving developing robotic manipulators with machine learning approaches. The role requires innovation in 3D scene understanding and item identification for robotic interaction. | Agent | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, vision, optimization, OR, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, deploy solutions into production, and potentially publish work. | Post-train | 7 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalised recommendations for millions of customers across European marketplaces. The role involves blending real-time customer intent signals with large-scale EU retail data, applying custom processors and matching models, and developing custom models using Python and Spark (e.g., embeddings modelling, customer persona matching). It also includes building and deploying production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI) for marketing teams, as well as owning reporting and measurement suites for personalised marketing campaigns and conducting deep-dive analytics. | ShipAgent | 5 |
| Generative AI Strategist, Generative AI Innovation Center This role focuses on supporting customers in enhancing their business or operational outcomes through the use of advanced and emerging technologies, specifically generative AI and machine learning. The strategist will partner with various AWS teams and customers to craft industry-specific programs, drive sales opportunities, and conduct workshops to identify and scope business value through AI/ML. | — | 5 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers across European marketplaces. The role involves leveraging real-time customer intent signals, large-scale EU retail data, and engagement metrics, applying custom processors and matching models. It sits at the intersection of business intelligence, data engineering, and data science, developing custom models using Python and Spark (embeddings, persona matching) and building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI). The role also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns. | ShipAgent | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and their core infrastructure within Amazon's fulfillment centers. This role involves full software development lifecycle, collaboration with applied scientists, and deployment of systems in the field, with a background in Computer Vision, Machine Learning, or Robotics being preferred. | Ship | 5 |
| Sr. Robotics Software Engineer, Amazon Robotics Senior Robotics Software Engineer role at Amazon, focusing on designing, building, and delivering end-to-end robotic systems for fulfillment centers. The role involves software development, integration, testing, and launching robotic applications, partnering with applied scientists and project managers. Requires experience in computer vision, machine learning, or robotics product development within a Linux environment, with proficiency in languages like Java, C++, or C#. | Ship | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and applications within Amazon's fulfillment centers. This role involves all phases of development, from concept to production, and requires collaboration with applied scientists and other engineering teams. Basic qualifications include background in Computer Vision, Machine Learning, or Robotics, and experience with modern programming languages and software engineering best practices. | Ship | 5 |
| Software Development Engineer, Community Feedback Software Development Engineer role focused on building Machine Learning systems for Amazon's product reviews and Q&A experience, serving millions of customers globally. The role involves end-to-end ownership of cloud-based services, workflow architecture, and ML systems within an agile development lifecycle. | Ship | 5 |
| Cloud Support Engineer (German & English speaking) Seeking Cloud Support Engineers for the new European Sovereign Cloud (ESC) initiative at AWS. Responsibilities include solving customer cases via various channels, applying advanced troubleshooting, and potentially mentoring, developing training, writing tools, and improving processes. Requires fluency in German and English, and EU citizenship. | — | 0 |
| Cloud Support Associate (German & English speaking), ESC Seeking a Cloud Support Associate fluent in German and English to assist customers with AWS European Sovereign Cloud (ESC). Responsibilities include solving customer cases via phone, email, and chat, applying troubleshooting techniques, and potentially mentoring, developing training, writing tools, and improving processes. | — | 0 |
| Senior Interdisciplinary Systems Engineer, Amazon Robotics Senior Interdisciplinary Systems Engineer role at Amazon Robotics focused on designing, building, and delivering end-to-end robotic systems for fulfillment centers. The role requires a strong mechanical hardware background, systems thinking, and the ability to drive cross-functional tradeoffs for complex hardware-software robotic systems. | — | 0 |
| Systems Engineer, Managed Operations, Managed Operations The Systems Engineer, Managed Operations role at Amazon Web Services (AWS) focuses on building, operating, and evolving operations for high-availability AWS services within the European Sovereign Cloud (ESC). This role involves overseeing the operations and expansion of ESC, collaborating with global AWS teams, and influencing service evolution. Responsibilities include ensuring availability, reliability, latency, performance, and efficiency, with occasional on-call rotations. The position is part of the Utility Computing (UC) organization, supporting various AWS services for EU customers requiring specialized security solutions. | — | 0 |
| Cloud Support Engineer (German & English speaking), Support Engineering (German & English speaking) This role is for a Cloud Support Engineer for AWS's European Sovereign Cloud (ESC). The primary responsibility is to provide customer support by solving technical cases through various channels, applying troubleshooting techniques, and driving customer interactions. The role also involves coaching new hires, developing training, partnering with development teams, writing tools/scripts, and working on process improvement. While the company works with AI, this specific role is focused on customer support and cloud infrastructure, not direct AI/ML model development or research. | — | 0 |
| Systems Engineer, Managed Operations, Managed Operations This role is for a Systems Engineer within AWS Managed Operations, focusing on the European Sovereign Cloud (ESC). The primary responsibilities include building, operating, and evolving teams and services to ensure high availability of AWS services for EU customers. The role involves overseeing operations, collaborating with global teams, influencing service evolution, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency. It also includes on-call rotations and contributing to operational excellence within the Utility Computing organization. | — | 0 |
| Cloud Support Engineer (German & English speaking), Support Engineering This role is for a Cloud Support Engineer for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide technical support to customers, troubleshoot issues, and act as a 'Cloud Ambassador'. The role involves solving customer cases via phone, email, and chat, applying advanced troubleshooting techniques, and potentially mentoring new hires, developing training, or writing scripts. While AI/ML is mentioned as a preferred qualification area, the core of the role is customer support and technical problem-solving within the AWS cloud environment. | — | 0 |
| Cloud Support Engineer (German & English speaking) This role is for a Cloud Support Engineer for the new European Sovereign Cloud (ESC) at AWS. The primary responsibilities include solving customer cases through various channels, applying troubleshooting techniques, and potentially coaching new hires, developing training, partnering with development teams, writing tools, and working on process improvement. The role requires fluency in German and English and involves on-call responsibilities. | — | 0 |
| Cloud Support Engineer (German & English speaking), Support Engineering (German & English speaking) This role is for a Cloud Support Engineer for AWS's European Sovereign Cloud (ESC). The primary responsibility is to provide technical support to customers, troubleshoot issues, and act as a 'Cloud Ambassador'. The role involves solving customer cases through various channels, applying troubleshooting techniques, and potentially mentoring new hires, developing training, partnering with development teams, writing scripts, and working on process improvements. While the JD mentions 'Generative AI Innovation Center' as an area of expertise within AWS Global Services, this specific role focuses on general cloud support and does not involve building or directly working with AI/ML models. | — | 0 |
| Sr. Systems Engineer, Managed Operations Senior Systems Engineer role focused on building and leading operations for AWS Managed Operations within the European Sovereign Cloud (ESC). The role involves ensuring high availability, reliability, and performance of core AWS services for EU customers, with a strong emphasis on automation and systems engineering. | — | 0 |
| Cloud Support Engineer (German & English speaking) This role is for a Cloud Support Engineer for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support, troubleshoot technical issues, and act as a 'Cloud Ambassador' for AWS products. The role involves solving customer cases via various channels, applying troubleshooting techniques, and potentially coaching new hires, developing training, partnering with development teams, writing tools/scripts, and working on process improvement. Fluency in German and English is required. | — | 0 |
| Cloud Support Associate (German & English speaking) This role is for a Cloud Support Associate for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support by solving technical cases through various channels, troubleshooting issues, and providing tailored solutions. The role also involves mentoring, developing training, partnering with development teams, and potentially writing scripts for team efficiency. While the company mentions Generative AI Innovation Center, this specific role is focused on general cloud support and troubleshooting, not AI/ML development. | — | 0 |
| VAT Manager, Tax This role is for a VAT Manager in Amazon's Pan EU Indirect Tax Planning and Advisory team, focusing on German and EU VAT regulations. The candidate will act as a strategic business partner to finance, legal, accounting, and technology teams, providing guidance on legislative requirements and collaborating with tax authorities. While familiarity with emerging technologies like generative AI is mentioned, the core responsibilities are in traditional tax management, not AI/ML development. | — | 0 |
| Principal Engineer, EC2 Principal Engineer on the EC2 Accelerated Nitro team, focusing on developing next-generation EC2 instance families by innovating in virtualization, hardware acceleration (GPUs, FPGAs), and cloud computing infrastructure. The role involves leading the design and architecture of core EC2 capabilities, advancing virtualization security, mentoring engineers, and influencing the future of cloud computing. Requires expertise in low-level system software and hardware acceleration. | — | 0 |
| Applied Scientist, Amazon Music - DISCO, Music DISCO | — | — |