Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 1575 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). 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 (1022 roles), Canada (59 roles), United Kingdom (49 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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Sponsored Products and Brands Relevance Machine Learning Engineer on the Search Relevance team within Amazon Ads, focusing on using generative AI to improve product discovery and advertising relevance for millions of customers. The role involves designing and building scalable services and data pipelines for ML and LLMs, collaborating with scientists, and providing technical leadership. | Ship | 7 |
| Applied Scientist II - AMZ9970940 Applied Scientist II role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, researching novel approaches, and building/deploying ML models. The role also includes mentoring junior engineers and scientists. | Serve |
| 7 |
| Senior Delivery Consultant - Customer Experience AI Agents, and Conversational AI Senior Delivery Consultant for AWS ProServe focusing on designing and implementing AI-powered customer experience solutions using conversational AI, generative AI, and AI agents. The role involves consulting on AI agent architecture, prompt engineering, guardrail configuration, and integrating generative AI into contact center operations. | Agent | 7 |
| Applied Scientist II, Last Mile Applied Scientist II role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. This role involves building models for business applications, improving algorithms, and optimizing system policies to enhance delivery capacity, customer experience, and operational efficiency. Requires strong research experience in ML, Computer Vision, or GenAI, with a focus on production systems and data analysis. | Ship | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role at Amazon focused on building AWS AI services using ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, collaborating with experienced engineers and scientists, and influencing strategy and roadmap. It emphasizes working with the newest ML technologies on a high-visibility product. | Serve | 7 |
| Software Development Engineer II, Everywhere and External Team Software Development Engineer II role focused on applying AI/ML to logistics and customer problems within Amazon's Locker team. The role involves building AI-driven workflows, intelligent automation, predictive systems, and conversational experiences, integrating emerging AI technologies into customer-facing features and operational tooling. The team is scaling its locker network and aims to leverage AI for a tenfold increase in scale. | Agent | 7 |
| Senior Partner Solutions Architect, SAP Innovation GTM, APJ, AWS Partner Field APJ This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on generative AI and agentic systems. The individual will architect and build solutions, proofs of concept, and reference architectures, combining AWS services with SAP technologies. They will engage with customers and partners to solve complex business challenges, influence the product roadmap, and build partner capabilities. The role requires deep SAP functional expertise, hands-on AWS cloud and AI skills, and experience in customer-facing roles. | Agent | 7 |
| Head of AI Transformation - APJC, Generative AI Innovation Center Head of AI Transformation for AWS Generative AI Innovation Center in APJC, leading teams to accelerate enterprise AI transformation by embedding with customers, proving impact in sprints, and scaling solutions. Requires a GM mindset with fluency in engineering, applied science, go-to-market, and customer delivery, engaging with C-suite executives to sell transformation and influence product roadmaps. | Ship | 7 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalised recommendation systems for millions of customers across European marketplaces. The role involves developing custom models (embeddings, persona matching) using Python and Spark, building production-grade Python services and serverless infrastructure (AWS Lambda, CDK) with APIs (FastAPI), and owning reporting and measurement for personalised marketing campaigns. It sits at the intersection of BI, data engineering, and data science, leveraging Amazon's global recommendation infrastructure and EU-specific data. | AgentData | 7 |
| AI Language Engineer , Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating Amazon's AI models, utilizing methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. The Language Engineer will design data collections, analyze data, build tools for data creation, and collaborate with scientists and engineers to evaluate AI model performance. | Data | 7 |
| AI Language Engineer II , Artificial General Intelligence - Data Services The AI Language Engineer II role focuses on developing diverse datasets for training and evaluating Amazon's AI models. This involves designing and executing complex data collection projects using synthetic data generation, model-supported methods, and human-in-the-loop approaches. The role requires analyzing data, building tools for data analysis and creation, and collaborating with cross-functional teams to evaluate AI model performance. | Data | 7 |
| Software Development Engineer, Amazon Quick Suite Software Development Engineer for AWS Quick RAG team, focusing on building and optimizing scalable ingestion pipelines for multi-modal content (PDF, audio, video, tables) using computer vision and machine learning to power intelligent document processing and search capabilities within Amazon Quick Suite. The role involves system optimization, collaboration with applied scientists, and integration of retrieval models, impacting customer experience. | AgentData | 7 |
| Software Development Engineer, Amazon Quick Suite Software Development Engineer role focused on building and optimizing retrieval-augmented generation (RAG) systems for intelligent document processing and search within Amazon Quick Suite. The role involves designing scalable ingestion pipelines for multi-modal content, optimizing system performance, and collaborating on feature delivery, leveraging AWS technologies. | AgentData | 7 |
| Principal Specialist SA, AI Security, AWS WWSO Security Services This role focuses on AI security within AWS, guiding enterprise customers on secure AI architectures, including Bedrock guardrails, agentic identity and access, and AI governance. The specialist will help customers deploy and operationalize AWS AI-powered security services, design security architectures for generative AI and agentic workloads, and develop the AI security practice across the AWS field community. Responsibilities include creating training, enablement content, reference architectures, and collaborating with service teams and partners to address complex AI security challenges. | Agent | 7 |
| Applied Scientist, Full-funnel Agentic Intelligence and Models Applied Scientist role focused on developing core models for Full-funnel Agentic Intelligence and Models within Amazon Advertising. The role involves understanding shopping journeys across ad products and publishers, and partnering with engineers and product managers to productize the work. Requires experience in building models for business applications and a strong publication or patent record. | Post-train | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Software Development Engineer II role focused on building the platform and infrastructure for AI agents and skills within Amazon's builder experience. The role involves designing scalable services, developing APIs for agent access to internal resources, and creating systems for measuring agent quality and improvement. | Agent | 7 |
| Senior Manager, Applied Science, Prime Video - Content Generation Team Senior Manager role focused on leading applied science teams in developing state-of-the-art generative AI, graphics, audio, and computer vision research for Prime Video's content generation. The role involves creating research roadmaps, recruiting and developing talent, and applying ML/NLP/IR knowledge to business applications. Requires significant experience in applied research, management, and building ML models. | Ship | 7 |
| FinOps QC Program Manager, Healthcare This role focuses on designing and implementing AI-driven automation solutions for quality control in accounts receivable operations. It involves leveraging machine learning tools for audit efficiency, developing defect reduction programs, building anomaly detection systems, and creating predictive models. The role also encompasses program management for these initiatives. | AgentData | 7 |
| Data Engineer II, AAE Data Engineer II, AAE at Amazon AWS AI Services. This role focuses on building data platforms and intelligence infrastructure for AI services, including agentic AI. Responsibilities include designing and building end-to-end data platforms, ETL/ELT pipelines, agentic data workflows for automated reporting and insights, and executive dashboards. The role emphasizes data accuracy for revenue and financial reporting, and collaboration with various teams. It operates at the intersection of data engineering and agentic AI, supporting S-Team level visibility into AI revenue, adoption, and growth. | DataAgent | 7 |
| Sr. Developer Experience Engineer, Kiro This role focuses on developer experience for an agentic AI system called Kiro, which helps developers build software. The engineer will work with customers to triage issues, provide specialist assistance, define features, and partner with engineering teams. They will also build tools and agents to automate workflows and support new launches through testing and QA. The role requires experience with agentic AI patterns and a strong understanding of ML fundamentals and Generative AI. | Agent | 7 |
| Senior Software Engineer - AI/ML, AWS Neuron Inference Senior Software Engineer focused on optimizing LLM inference performance on AWS Neuron accelerators, working on core building blocks like Attention, MLP, Quantization, and Speculative Decoding. Collaborates with chip architects and compiler engineers to extract maximum performance and accuracy. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale systems for AWS AI services, focusing on ML and LLM technologies, Generative AI, and RAG. | Data | 7 |
| Principal Applied Scientist - AMZ9794093 Principal Applied Scientist role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for ML/NL applications. Involves applying statistical modeling, optimization, and ML techniques, running experiments in production, and researching novel approaches. Mentors junior scientists. | Ship | 7 |
| Sr Data Scientist, WWSO Bedrock This role focuses on guiding AWS customers in building enterprise-grade Generative AI and Agentic systems, with a strong emphasis on Responsible AI practices. The individual will develop best practices for guardrails, veracity, model evaluations, automated reasoning, fairness, and explainability, partnering with the Amazon Bedrock team. Deliverables include technical guidance, architectural blueprints, whitepapers, feedback to Bedrock science teams, thought leadership, and internal enablement. | Agent | 7 |
| Sr Applied Scientist, Device Connectivity Sr. Applied Scientist on the Device Connectivity team, focusing on wireless solutions and leveraging AI/LLMs to enhance customer experience. The role involves designing AI roadmaps, identifying new research directions, and mentoring junior scientists. | Agent | 7 |
| Software Development Engineer, Amazon Seller Assistant Software Development Engineer to build the next generation of Amazon Seller Assistant, a GenAI-first, multi-agent system that reimagines seller experience by providing a proactive, autonomous assistant. The role involves owning problem spaces end-to-end, from customer insight to shipped product at Amazon's scale. | Agent | 7 |
| Software Development Engineer, Ring Software Development Engineer role at Amazon Ring focused on defining, building, and supporting system design, architecture, and software for IoT products, with a specific emphasis on developing GenAI platforms & agents and understanding ML model architecture and inference. | Agent | 7 |
| Applied Scientist III, Sponsored Products Marketplace Intelligence The Sponsored Products and Brands team at Amazon Ads is seeking an Applied Scientist to build production ML and bandit solutions for customizing the search experience. This role involves determining ad placement, quantity, and targeting on Amazon search pages using machine learning, causal inference, and optimization techniques. The scientist will focus on improving the Sponsored Products experience by understanding shopper pain points and developing innovative solutions, with a mandate to experiment and innovate to grow Sponsored Products using LLMs/GenAI for ranking and allocation. The role requires designing and running experiments, analyzing large datasets, and developing real-time ML algorithms for ad auctions and multi-objective optimization. | ShipAgent | 7 |
| Software Development Manager, Amazon Quick Software Development Manager for a new generative AI-powered assistant initiative within Amazon Quick, focusing on enterprise systems. The role involves leading a team to define, build, and ship AI solutions that enhance user productivity and creativity. | Ship | 7 |
| Software Development Engineer, Ads Campaign Management Software Development Engineer role focused on building AI-powered solutions for Amazon Advertising. The role involves designing and implementing scalable architectures for APIs, building infrastructure for AI agent-data interaction (Model Context Protocol), and inventing new techniques for agent orchestration and context optimization. The team uses generative AI and agentic systems to provide strategic advice to advertisers, with a focus on low latency and minimal token consumption. The role also involves creating feedback loops for continuous improvement. | Agent | 7 |
| Principal Technical Program Manager, DC Power Utilization Management The Principal Technical Program Manager will lead data science and software initiatives within the DC power utilization management organization at AWS Infrastructure Services. This role focuses on driving high utilization in data centers through data science and machine learning, managing complex projects, and collaborating with various engineering teams to achieve capex efficiency and maintain high availability. | DataPost-train | 7 |
| Design Technologist, Agentic AI & Marketing Automation This role focuses on designing and implementing agentic AI workflows for marketing automation, bridging UX design and technical delivery. The Design Technologist will prototype AI-driven automation experiences, build integrations between systems, and serve as a technical and UX bridge between marketing stakeholders and AI engineering teams. Responsibilities include hands-on technical execution, creating reusable prototyping frameworks, and developing reference implementations for AI-powered solutions. | Agent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services Language Engineer role focused on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets for AI/ML systems. Collaborates with PMs, engineers, and data scientists to align AI systems with human policies and preferences. Involves designing data collection tasks, analyzing data insights, building data analysis/authoring tools, using modeling tools, and evaluating language model performance. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop collections. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services Language Engineer role focused on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets for AI/ML systems, working with cross-functional teams to align AI with human policies. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, creating tasks, analyzing data, building tools, and collaborating with cross-functional teams to advance AI model evaluation and training. | Data | 7 |
| Language Engineer, Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. The Language Engineer will design data collections, analyze data, build tools for data analysis and creation, and collaborate on evaluating AI model performance. Experience with multimodal data and agentic workflows is preferred. | DataAgent | 7 |
| Applied Scientist, Artificial General Intelligence - Data Services Applied Scientist role focused on dataset construction, training, and evaluating speech/language/other data for generative AI and LLMs at Amazon. Requires strong technical skills in NLP and ML, with experience in data sourcing, ground truth generation, normalization, and model building. | DataPost-train | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data analysis/creation, and collaborating with scientists and engineers to evaluate AI model performance. | Data | 7 |
| Senior Analytics Solutions Architect Senior Solutions Architect specializing in analytics, big data, search, and streaming, focusing on designing and building agent-ready data platforms that leverage generative AI and AI agents for autonomous data analysis and decision-making. The role involves providing best practices, designing reference architectures, and contributing to service roadmaps. | AgentData | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI/ML solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions, focusing on use cases like predictive maintenance and yield optimization. Experience with generative AI architectures, RAG, fine-tuning, and AI agents is preferred. | AgentData | 7 |
| Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery Principal Product Manager for Prime Video Personalization and Discovery, focusing on Monetization Strategy. This role involves defining product vision, strategy, and roadmap for ML-powered features, including recommendation systems. Responsibilities include translating business problems into algorithmic objectives, collaborating with applied scientists and ML engineers, defining metrics, leading A/B testing, and communicating complex concepts to leadership. The role requires experience managing and deploying ML products and understanding the model lifecycle. | ShipAgent | 7 |
| Applied Scientist, Books Reading & Discovery Experiences Applied Scientist II role focused on enhancing book reading and discovery experiences at Amazon by building models and/or agentic systems. Responsibilities include research, design, implementation, and delivery of novel solutions, collaborating with cross-functional teams, and writing production-ready code. Requires experience in programming languages and SQL, with a preference for publications at top-tier conferences. | Agent | 7 |
| Sr. BIE, AWS Specialists and Partners Operations This role focuses on building agentic reporting solutions that go beyond static dashboards, creating intelligent data artifacts that surface actionable insights autonomously. The engineer will work with business stakeholders to understand their needs and engineer reporting workloads that answer questions proactively and at scale, applying Generative AI and agentic AI patterns to enhance reporting automation and insight generation. | Agent | 7 |
| Sr. Applied Scientist, Agentic Automated Reasoning Group Sr. Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves end-to-end technical leadership, identifying and applying AI techniques (like generative AI) for tasks such as requirement formalization, test generation, and proof repair, alongside traditional verification methods. | Agent | 7 |
| Senior Software Engineer, Fauna Senior Software Engineer role focused on driving technical strategy and architecture for robotic software systems, including perception, navigation, motor control, reasoning, and human-robot interaction. The role involves end-to-end delivery of complex systems, leading collaboration across research and ML teams, defining technical roadmaps, and developing production-level SDKs. The team is building robots for everyday life, aiming to make robotics development more accessible and intuitive. | Agent | 7 |
| Senior Software Engineer, Fauna Senior Software Engineer role focused on driving technical strategy and architecture for robotic software systems, including perception, navigation, motor control, reasoning, and human-robot interaction. The role involves end-to-end delivery of complex systems, collaboration across research, ML, hardware, and operations, and defining technical roadmaps for production-level SDKs. The team is building capable, safe, and delightful robots for everyday life, aiming to make robotics development more accessible. | Agent | 7 |
| Senior Partner Solutions Architect, SAP Innovation GTM, APJ, AWS Partner Field APJ This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on generative AI and agentic systems. The individual will architect and deliver solutions, proofs of concept, and reference architectures, combining AWS services with SAP technologies. They will leverage deep AI/ML and SAP functional expertise to solve complex customer problems and build partner capabilities. The role involves engaging with C-suite executives and technical practitioners to drive business-value-led conversations and influence the AWS product roadmap. | Agent | 7 |
| Data Scientist, Amazon Music - DISCO Data Scientist role at Amazon Music focused on building and deploying models for personalized recommendations and customer engagement. The role involves leading research and development of science products, partnering with product and engineering teams, and analyzing experimental results to optimize solutions. It requires experience in data querying, scripting, machine learning, and guiding researchers, with a focus on applying theoretical models in an applied environment. | AgentServe | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |