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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| 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 |
| Software Development Engineer, FinTech - Machine Learning Software Development Engineer role focused on building machine learning applications for FinTech, specifically for transaction analysis, anomaly detection, and fraud prevention within Amazon's finance operations. The role involves developing ML pipelines, utilizing Generative AI and LLMs, and collaborating with scientists and business teams to drive efficiencies and insights at scale. | Ship | 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. Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Senior Software Development Engineer for Amazon Pharmacy's Supply Chain Engineering team in Bangalore. The role focuses on designing and developing ML-driven supply chain systems, including demand forecasting, procurement, placement, and planning. It involves working with large-scale datasets, production ML models, and distributed systems, with a strong emphasis on operational ownership and leveraging AI tools for development. | AgentData | 7 |
| Applied Scientist, Sales AI This role focuses on applying AI/ML, particularly Generative AI, to optimize the Ad Sales business by creating actionable insights and recommendations for account teams and improving their end-to-end workflows. The scientist will build and refine models using statistical methods, deep learning, and reinforcement learning, and leverage NLP and Generative AI for explainability. The role involves research, A/B testing, collaboration with engineering and product teams, and translating complex findings into business recommendations. | Agent | 7 |
| Senior Product Manager - Tech, Prime Video Personalization & Discovery Senior Product Manager - Tech for Prime Video Personalization & Discovery, focusing on owning the vision, strategy, and roadmap for core recommendations powered by ML models. The role involves collaborating with scientists and engineers, defining metrics, leading A/B testing, and making trade-off decisions for production-ready solutions. | Ship | 7 |
| Applied Scientist I, Amazon Shipping This role focuses on building and scaling large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The scientist will guide model and system design using various ML techniques including deep learning and LLMs, ensure production readiness, and partner with stakeholders to drive decision-making and business metrics. | Ship | 7 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, requiring a Ph.D. and experience in areas like SAT, SMT, and program analysis to solve complex problems and drive innovation in AWS services. | Agent | 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. Specialist Solutions Architect, GenAI, AWS Senior Specialist Solutions Architect focused on GenAI for startups within the AWS ecosystem. This role involves technical thought leadership, customer interaction at executive levels, developing go-to-market strategies, and guiding startups on adopting AWS AI services for inferencing and agentic workloads. | Agent | 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 |
| Applied Scientist, Customer360 Research scientist role focused on developing new AI technologies for personalization in e-commerce, specifically using LLMs, fine-tuning, and recommendation systems. The role involves research, design, development, and launching new features and products, with a strong emphasis on customer impact and innovation. | ShipPost-train | 7 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 7 |
| Applied Scientist, Amazon Music Applied Scientist role at Amazon Music focusing on building, training, and deploying ML models for customer experiences and business decisions. The role involves collaborating with scientists and engineers, experimenting with modern ML techniques, and implementing scalable data pipelines and model-serving systems. It's suitable for early-career individuals with a PhD or Master's degree and 3+ years of experience in building models for business applications. | Post-trainServe | 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 |
| Senior Audio Applied Scientist, Edge Technology Senior Applied Scientist role focused on audio processing for Echo devices, involving research, development, and commercialization of spatial audio and music processing technologies. Requires expertise in signal processing and C/C++, with preferred experience in ML applications for audio. | Post-trainServe | 7 |
| Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Full-Stack Software Development Engineer role focused on building end-to-end Generative AI applications and agentic systems for AWS customers. The role involves designing, developing, and deploying cloud-native applications using AWS services, with a strong emphasis on AI-assisted software development and agentic architectures. | Agent | 7 |
| Applied Scientist II, Vertical Search Relevance This role focuses on building and deploying machine learning models for Amazon's Product Search, specifically developing new ranking features and techniques. The scientist will be responsible for the full development cycle, from design and implementation to A/B testing and production deployment, aiming to improve search relevance and customer experience at scale. | Ship | 7 |
| Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Sr. Applied Scientist role focused on building and deploying scalable ML models and optimization solutions for Amazon's Private Brands retail business. The role involves translating business requirements into concrete deliverables, working with large-scale datasets, and applying expertise in ML, Optimization, Statistics, Causal Inference, and Reinforcement Learning to drive business decisions and improve operations. Experience with distributed systems and Operations Research is highly valued. | Ship | 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 |
| Principal GenAI GTM Specialist, WWSO This Principal GenAI GTM Specialist role focuses on driving enterprise adoption of Generative AI across EMEA, specifically leveraging Amazon Bedrock and agentic architectures. The role involves developing and executing go-to-market strategies, translating technical capabilities into business outcomes, and guiding customers from proof-of-concept to production. It requires a blend of deep technical understanding of GenAI and strong commercial acumen to engage with C-suite executives and technical practitioners. | Agent | 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 |
| Senior Applied Scientist, FinAuto Senior Applied Scientist role focused on building and deploying machine learning models for fraud, theft, abuse, and waste prevention in financial transactions at Amazon. The role involves end-to-end ownership of business problems, from data analysis and model development to real-time implementation and maintenance, working closely with engineering and business teams. | 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 |
| Applied Scientist II, Amazon, Amazon Applied Scientist II at Amazon focused on improving shopping experiences using LLMs, requiring a PhD or Master's with 4+ years of experience, and a strong publication/patent record. The role involves building models for business applications and experience with algorithms, data structures, and distributed computing. | Ship | 7 |
| Principal GenAI GTM Specialist, WWSO This Principal GenAI GTM Specialist role focuses on driving enterprise adoption of Generative AI across EMEA, specifically leveraging Amazon Bedrock and agentic architectures. The role involves developing and executing go-to-market strategies, translating technical capabilities into business outcomes, and acting as a thought leader and trusted advisor to senior customer stakeholders. It requires a blend of deep technical proficiency in GenAI and commercial acumen to land AI transformation programs. | Agent | 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, Buyer Risk Prevention (BRP) Applied Scientist II role focused on building and deploying machine learning models for fraud and risk prevention in an e-commerce setting. The role involves end-to-end model development, leveraging Generative AI and LLMs, and collaborating with engineering and business stakeholders to ensure customer trust and profitability. | Ship | 7 |
| Applied Scientist II, Buyer Risk Prevention (BRP) This role focuses on building and deploying end-to-end machine learning models for Amazon's Buyer Risk Prevention (BRP) system, utilizing GenAI/LLM technologies to enhance fraud detection and risk management. The scientist will own the full model development lifecycle, from problem formulation to production, and collaborate with engineering and business teams. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Generative AI and LLM capabilities into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reducing latency, and influencing operational excellence for audio services. It also includes mentoring junior engineers and contributing to hiring efforts. | ServePost-train | 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 |
| Principal Product Manager - Technical, AWS Life Sciences Principal Product Manager for AWS Life Sciences Applied AI, focusing on developing AI-driven applications and generative AI agent-based experiences to revolutionize clinical trials. The role involves leading product development, defining product strategy, and driving innovation in clinical evidence generation and trial operations. | 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 |
| Applied Scientist II, Advertising Trust Build and develop ML models for content understanding and labeling in Ads, utilizing visual and textual features, scaling to multiple languages and countries. Collaborate with engineers and scientists to build, train, and deploy these models, writing production-level code for ad labeling and moderation. | Post-train | 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 |
| Software Development Manager, AWS Compliance & Security Assurance, Denied Party Screening Software Development Manager for AWS Compliance & Security Assurance, focusing on Denied Party Screening. The role involves building and managing teams to develop ML and Generative AI powered detection and resolution systems to prevent prohibited transactions with denied entities, handling significant scaling and TPS challenges. | Agent | 7 |
| ML Accelerator Performance Validation Engineer, Post Silicon Validation This role focuses on validating the performance of custom ML training chips for AWS, ensuring they meet latency, throughput, and efficiency targets at cloud scale. The engineer will design and execute performance benchmarks, profile ML workloads on silicon, identify bottlenecks, and build automated dashboards to track performance and readiness for production deployment. | Serve | 7 |
