Currently tracking 1110 active AI roles, down 16% 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 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, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for content localization, understanding, and enrichment. The role involves applying state-of-the-art NLP and computer vision research, particularly with vision-language models and multimodal LLMs, to understand video content, including long-context understanding and causal reasoning across temporal sequences. The goal is to power next-generation video understanding and search capabilities for Prime Video. | Agent | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance The Senior Manager, Applied Science, AWS Compliance & Security Assurance role focuses on leading a team that builds and operates automated reasoning technology for security and privacy assurance across Amazon and AWS. The role involves owning the technical vision and roadmap for static analysis capabilities, driving innovation in program analysis, and managing a team of applied scientists. Key responsibilities include technical leadership, hands-on contribution to research and design, team building, product integration with security and service teams, advancing the state of the art in static program analysis, and stakeholder engagement. |
| Ship |
| 7 |
| Solutions Architect - NPO, Membership Account Team Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs. | Agent | 7 |
| Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Senior Applied Scientist on the Linear Personalization Experience (LPEX) team at Amazon Prime Video. This role focuses on defining and driving the science strategy and roadmap for Linear TV personalization, designing, developing, and deploying ML models for content recommendation, viewer engagement optimization, and real-time personalization. The role involves owning the complete ML lifecycle, building and optimizing recommendation systems with strict real-time latency requirements, and partnering with software engineering teams for production deployment. The team is building next-generation, AI-powered personalization and recommendation systems. | AgentServe | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure, covering the entire vertical stack from silicon to system. The engineer will be responsible for developing validation strategies, executing test plans, conducting hands-on bring-up and debug, and validating ML accelerator performance using real-world workloads. The role requires collaboration with various engineering teams and a strong understanding of computer architecture and ML fundamentals. | Serve | 7 |
| Applied Scientist, Fauna This role focuses on developing evaluation frameworks and data collection protocols for robotic capabilities, bridging robotics, ML, and human-in-the-loop systems. The scientist will design evaluation methodologies, create data collection protocols, build teleoperation workflows, and analyze results to improve robot behavior and dataset generation. | Eval GateData | 7 |
| Data Scientist II, Amazon Currency Convertor Data Scientist II at Amazon Payments focused on building analytical solutions for the Amazon Currency Convertor using Gen AI, LLM, and other machine learning techniques for text analytics, segmentation, and prediction. Responsibilities include applying causal inference, developing descriptive and predictive solutions, collaborating with stakeholders, innovating with modeling techniques, performing exploratory data analysis, and building models using standard techniques. Specific tasks involve fine-tuning Amazon LLMs for text summarization, preventing catastrophic forgetting, feature engineering, and implementing data flow solutions. | Post-train | 7 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer to build industry-first conversational advertising experiences powered by LLMs on Amazon Search. This role involves shipping GenAI to hundreds of millions of shoppers, working at the intersection of Generative AI and advertising at Amazon's scale. Responsibilities include designing and developing new conversational ad experiences, building large-scale, low-latency distributed systems and ML infrastructure, partnering with scientists to implement and operationalize LLMOps, and building data pipelines for personalized, AI-driven advertising. | AgentServe | 7 |
| Manager, Business Intelligence, FBA Analytics Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents. | AgentData | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Principal ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role focuses on designing and implementing agentic AI and generative AI solutions for healthcare and life sciences customers on AWS. The Principal ProServe Cloud Architect will partner with customers to understand their business objectives and translate them into innovative cloud and AI solutions, focusing on areas like clinical trial management, data operations, and regulatory submissions. The role involves technical advisory, solution design, and collaboration with various AWS teams to drive digital transformation and achieve customer business outcomes. | Agent | 7 |
| Sr. Software Development Engineer, MLOPs Senior Software Development Engineer focused on building and operating ML training infrastructure for robot learning at scale. This role involves designing and implementing distributed GPU training pipelines, CI/CD for ML models, experiment tracking, data pipelines for robotics datasets, and operationalizing novel ML models, with a focus on Kubernetes and large-scale distributed systems. | DataServe | 7 |
| Sr Solutions Architect, Alexa+ 3P Experiences Senior Solutions Architect to lead technical partner integrations for Alexa+, Amazon's next-generation personal AI assistant. This role involves designing, validating, and shipping integrations that bring third-party agentic capabilities into Alexa+ across diverse consumer categories. The architect will work hands-on with partners, build playbooks and reference architectures, and influence product roadmaps. The role requires experience with modern integration protocols, agentic system design, and full-stack fluency. | Agent | 7 |
| Senior SDE, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Data Platform team, focusing on building ML infrastructure for personalization and recommendation systems. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on big data pipeline architecture and scalable ML solutions. Responsibilities include designing and delivering ML and Data platform solutions, mentoring engineers, and influencing technical strategy. | DataServe | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery, leading a team of engineers to build and deliver AI-first personalization models and services at scale for customer recommendations on the PV Homepage. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on ML and experimentation to improve content surfacing. | Ship | 7 |
| Data Scientist, AWS Compliance & Security Assurance Data Scientist role focused on applying AI/ML, particularly LLMs and VLMs, to enhance AWS compliance and security assurance operations. The role involves analyzing complex datasets, prototyping AI solutions, and collaborating cross-functionally to deliver data-driven solutions. Requires strong background in automation using GenAI, data analysis, and transforming business needs into deliverables. | Agent | 7 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon to build and scale an AI-powered automation platform for internal tools (Amazon Quick Suite). The role involves designing and delivering features for natural language workflow automation, agentic AI capabilities, and enterprise integrations, operating at massive scale for 450,000+ internal users and external AWS customers. Responsibilities include architecting and implementing scalable services, building integrations, owning end-to-end delivery, and scaling systems for high availability and low latency. | Agent | 7 |
| Senior Applied Scientist, Applied AI Solutions GTM Senior Applied Scientist role focused on building and deploying production AI solutions for enterprise customers within AWS. The role involves developing ML models and pipelines to drive business outcomes, quantify value, and enable field teams. It requires experience in deep learning, NLP, generative AI, and translating technical findings into business decisions, with a focus on scaling AI impact for customers. | ShipData | 7 |
| AI & AWS Software Development Engineer , Ring/Blink CS Technology Enablement Software Development Engineer to design and deliver key components of an AI-powered customer service platform, focusing on automated support systems and leveraging AWS AI services. The role involves end-to-end technical design, implementation, and optimization of AI initiatives, with a strong emphasis on scalability, reliability, and cost-efficiency within the AWS ecosystem. Experience with contact center regulations (PCI DSS, HIPAA) is required. | AgentServe | 7 |
| Reliability Analytics Engineer, Amazon Robotics This role focuses on reliability analytics within Amazon Robotics, leveraging AI/ML and data engineering to build and maintain assessment tools, data pipelines, and dashboards for robot fleet availability. The engineer will perform data cleansing, prepare reliability datasets, translate engineering questions into data queries, and develop automation for failure mode classification and fleet health monitoring. | Data | 7 |
| Senior Video Compression Development Engineer, AWS Elemental, Elemental Video Engine Senior Software Development Engineer focused on video compression, responsible for writing code to process customer video and metadata. The role involves working on video technologies like VVC, AV1, HEVC, AVC, high dynamic range video, and enhancement filters. A key aspect is utilizing ML and Generative AI to solve new problems, improve video quality, enable new use cases, and enhance compute performance of video processing. The engineer will also design and implement improved video filters and contribute to home-grown video encoders. | Serve | 7 |
| Applied Scientist II, US Prime and Marketing Tech The Discovery Tech team at Amazon is seeking an Applied Scientist II to build and optimize critical services for marketing and merchandising using machine learning models. The role focuses on developing data-driven, scalable ML solutions for product recommendation to enhance customer experience and enable intelligent marketing campaigns. | Ship | 7 |
| 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 |
| Senior Data Engineer, Amazon Customer Service Senior Data Engineer role focused on building and maintaining data infrastructure for AI/ML and LLM-based systems, specifically agentic workflows and RAG architectures. The role involves designing data pipelines, vector databases, embedding pipelines, and developing observability/evaluation pipelines for LLM features. | AgentData | 7 |
| Principal Technical Program Manager, WHS Data-Tech Principal Technical Program Manager for Amazon's Workplace Health & Safety Data-Tech team, focusing on AI and computer vision systems to prevent workplace safety incidents. The role involves owning program strategy, roadmap, and delivery, partnering with scientists and engineers to move research to production, and managing complex technical challenges across multiple teams. Requires deep fluency in AI/ML systems and experience in program management, software development, and cross-functional collaboration. | ShipServe | 7 |
| Sr. Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, aiming to provide advanced and rigorous solutions for privacy and sovereignty. The scientist will solve complex problems, lead design and implementation of long-term impact solutions, and provide cross-organizational technical influence. The role involves developing strategic plans for new solutions and mentoring others. It's a unique opportunity to shape technology in a fast-growing segment of AWS. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning The Applied Scientist will focus on automated reasoning, privacy, and sovereignty within AWS, solving complex problems and driving innovation in these areas. The role involves strategic problem-solving, design, implementation, and delivery of long-term impact solutions, with a focus on influencing cross-organizational technical direction and mentoring others. The team operates in a fast-moving, start-up environment within AWS, aiming to build a high bar for automated reasoning across Amazon's products and services. | Agent | 7 |
| Professional Services III AMZ13646.13 This role focuses on building and deploying scalable ML/AI solutions within AWS, leveraging Big Data, AppDev, or DevOps experience. It involves close collaboration with Data Scientists and Data Engineers to deliver end-to-end solutions for customers, utilizing ML frameworks, algorithms, and cloud technologies. | ServeData | 7 |
| Sr Solutions Architect, Annapurna ML This role is for a Sr. Solutions Architect focused on AWS Machine Learning accelerators (Inferentia and Trainium). The individual will work with customers to develop and deploy Deep Learning models on these accelerators, acting as a trusted advisor and thought leader. Responsibilities include designing architectures, owning PoCs, driving adoption through technical engagements, and sharing best practices. The role bridges customer needs with engineering roadmaps and involves creating technical content for various audiences. | Serve | 7 |
| Sr. Systems Dev Engineer, AI & Strategic Partner Engineering Senior Systems Development Engineer for AWS, focusing on building AI agents to manage SAP workloads on AWS, ensuring resilience and automating operational tasks. The role involves designing and owning back-end subsystems, customer-facing APIs, and leveraging both SAP and AWS AI services. | AgentServe | 7 |
| Sr. Software Dev Engineer, AWS Healthcare AI Senior Software Development Engineer role at AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves system design, implementing distributed systems, and developing AI-powered healthcare solutions using generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth Software Development Engineer for Prime Video Personalization & Discovery Growth team, focusing on building and operating scalable measurement, attribution, and audience optimization systems that leverage AI/ML to connect customers with content and drive subscriber growth. The role involves designing and building services, data pipelines, integrating ML models, and impacting decisions for over 200M customers. | ShipData | 7 |
| Applied Scientist , Prime Video Personalization and Discovery Applied Scientist role at Amazon Prime Video focused on developing and launching end-to-end AI solutions for search and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments, collaborating with engineers and product managers, and publishing research findings. | Ship | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Applied Scientist, Amazon Robotics - Vulcan This role focuses on designing, implementing, and deploying motion planning, control, and manipulation algorithms for robotic systems in Amazon fulfillment centers. It involves both engineered and learned approaches, with a strong emphasis on sim-to-real deployment and validation on production systems at scale. The role contributes to learned manipulation behaviors and controllers, requiring production-quality code and scalable, real-time implementations. | ShipAgent | 7 |
| Software Development Engineer, AWS Marketplace AI Agents Software Development Engineer role focused on building backend services and APIs for AI agents to autonomously discover, negotiate, purchase, and consume software within AWS Marketplace. The role involves designing and implementing features for agent-to-agent transactions and programmatic software procurement, operating at the intersection of generative AI and commerce. | Agent | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and deploying GenAI and ML applications for customers on AWS. It involves providing technical guidance, gathering requirements, and supporting model training, building, and deployment strategies. The role requires experience with AWS AI/ML services and hosting/deploying ML solutions, with a preference for deep learning experience. | ServePost-train | 7 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AI/ML solutions on AWS for customers, with a strong emphasis on deploying these solutions. The consultant provides technical guidance, collaborates on model training and deployment strategies, and acts as a trusted advisor on AI/ML trends. The role requires experience in software development, cloud architecture, and specifically hosting/deploying GenAI/ML solutions. | ServePost-train | 7 |
| Delivery Consultant - AI/ML & Data Science, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AWS solutions for customers, with a specific emphasis on GenAI and ML applications. The consultant will provide technical guidance, gather requirements, and propose strategies for model training, building, and deployment, acting as a trusted advisor on industry trends and emerging technologies. The role involves hands-on experience with deploying GenAI/ML solutions on AWS. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. Experience with hosting and deploying GenAI/ML solutions is required. | ServePost-train | 7 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and deploying GenAI and ML applications for customers on AWS. It involves providing technical guidance, gathering requirements, and supporting model training, building, and deployment strategies. The role requires experience with AWS AI/ML services and hosting/deploying ML solutions, with a preference for deep learning experience. | ServePost-train | 7 |
| Senior Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focusing on designing, implementing, and managing AI/ML and Generative AI solutions for enterprise customers. This role involves leading project teams, hands-on development, MLOps, and acting as a trusted advisor on cloud AI architectures. | ServeAgent | 7 |
| Applied Scientist II, Search Query Understanding Applied Scientist II role focused on leveraging LLMs and AI techniques to improve Amazon's search engine and shopping experience. The role involves designing, implementing, and managing scalable ML models, with a focus on RAG and LLM inference optimizations. Requires a PhD or Master's with experience in ML/AI and programming. | Agent | 7 |
| Manager, Software Development, Center for Quantum Computing Manager for a software development team building applications and infrastructure for a quantum computing facility, including ML-driven inspection systems and LLM-powered research tools and agents. | Agent | 7 |
| Applied Science Manager, Prime Video - Content Localization, Understanding & Enrichment Manager for a team of scientists and engineers building video understanding and search systems for Prime Video. The role involves defining technical direction, leading the team, partnering with other teams, and owning the end-to-end delivery of production systems that analyze video content at scale. The focus is on leveraging ML, NLP, and computer vision to understand content for customer experiences. | ShipData | 7 |
| Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog Principal Applied Scientist role at Amazon Music focused on leveraging foundation models to enhance music discovery, catalog understanding, and search systems. The role involves leading the design and implementation of applied science solutions, defining technical roadmaps, and driving technical excellence across multiple teams to improve customer experiences and content creator success. | Ship | 7 |
| AI/ML Specialist Solutions Architect, National Security Specialists Solutions Architecture Team This role focuses on designing and implementing generative AI solutions using AWS services for national security customers. The specialist will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI/ML technologies, developing reference architectures, and enabling broader adoption of AWS AI platforms. The role requires deep technical expertise in AI/ML and generative AI, with a focus on enterprise-grade solutions and cloud deployment. | ShipServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services Delivery Consultant for AWS Professional Services focused on designing, implementing, and managing AI/ML and GenAI solutions for enterprise customers. Responsibilities include end-to-end project lifecycle, MLOps, and advising customers on cloud architectures and AI/ML adoption. | AgentServe | 7 |
