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 |
|---|---|---|
| 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 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance This role leads a team focused on building and operating automated reasoning technology for security and privacy assurance across Amazon and AWS. The team's core technology is a static analysis platform integrated into critical security workflows, impacting the security posture of AWS services. The role involves technical leadership, hands-on contribution to research and design, team management, product integration, and advancing the state of the art in static program analysis. | Ship | 7 |
| Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction The Senior Applied Scientist will work on the Sponsored Products and Brands team at Amazon Ads, focusing on re-imagining advertising through generative AI. The role involves developing and deploying machine learning models and optimization strategies for personalized shopping experiences, including response prediction and session-level understanding. Responsibilities include data analysis, A/B experimentation, and research into new ML and GenAI solutions to optimize the advertising lifecycle. | Ship | 7 |
| Software Development Engineer, Alexa Kids Experience Software Development Engineer role focused on building new generative AI-powered features for Alexa Kids Experience. The role involves applying ML systems and generative AI to create customer-facing applications at scale, with an emphasis on innovation and delivering real experiences. | Agent | 7 |
| Software Development Engineer II, SP-Support-Operations Software Development Engineer II focused on building AI-powered solutions using LLMs to transform Amazon's Seller Support experience by developing scalable services for a next-generation support platform. | 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, Buyer Risk Prevention (BRP) Applied Scientist role focused on building and deploying machine learning models for fraud and risk prevention in an e-commerce setting. The role involves working with large datasets, developing models, collaborating with engineers for production implementation, and experimenting with GenAI/LLMs. | 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 |
| 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 |
| Engineering Manager, Data Platform, PV Personalization and Discovery Engineering Manager for ML Infrastructure at Prime Video, focusing on personalization and discovery. The role involves leading teams to build and scale the ML infrastructure stack, streamline the model development lifecycle, and establish MLOps practices to support rapid experimentation and deployment of AI/ML models for hundreds of millions of viewers. | ServePost-train | 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, Generative AI for AWS Neuron Software Development Manager for Generative AI for AWS Neuron, focusing on building agents, tools, and models to simplify customer adoption of Amazon's Machine Learning silicon (Trainium). The role involves leading a team, collaborating with internal and external stakeholders, and driving the technical vision and roadmap for AI-driven adoption acceleration. | Agent | 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 |
| Software Dev Engineer , Amazon Customer Service Software Development Engineer role focused on building and scaling Agentic AI and Generative AI capabilities for customer service associates, involving full-stack development of distributed services and operationalizing these systems. | 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 |
| Data Scientist, AWS Security This role focuses on developing and deploying machine learning models and real-time analysis systems for AWS security, with a specific emphasis on building LLM agent pipelines to detect and mitigate cyber threats. It involves data analysis, model creation, and pipeline development within the AWS ecosystem. | AgentData | 7 |
| Software Development Engineer, Amazon Q Software Development Engineer role focused on building a new Generative AI application for enterprise use, involving translating requirements into deliverables, prototyping, and deploying scalable services. The role emphasizes collaboration with product managers, engineers, and applied scientists. | Ship | 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 II, Translation Services Applied Scientist II role focused on building and implementing LLM-based machine learning solutions for language translation at Amazon. The role involves data analysis, applying state-of-the-art modeling techniques, and collaborating with cross-functional teams to improve translation accuracy and efficiency for millions of customers worldwide. | Post-train | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Applied Scientist, AWS GameTech Cortex Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry on AWS, impacting game developers and player experiences. Responsibilities include end-to-end ML project leadership, data analysis, collaboration with studios, and mentoring junior scientists. | Ship | 7 |
| Sr. Software Development Engineer - Shopping Personalization AI, Amazon Stores Senior Software Development Engineer to design and build AI systems for Amazon's Shopping Personalization, focusing on LLM-driven recommendations and discovery surfaces. The role involves owning team architecture, leading cross-team projects, and shipping AI-powered experiences at Amazon scale. | Ship | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focusing on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs. The role involves applying ML research to large-scale problems and delivering personalized customer experiences. | ShipPost-train | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focused on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs and advanced ML models. The role involves bringing research to production, optimizing for performance and scalability, and working with large volumes of data. | ShipPost-train | 7 |
| Applied Scientist, Agentic Automated Reasoning The role focuses on building next-generation software verification tools by combining AI, cloud computing, and domain expertise. It involves applying generative AI techniques to formalize requirements, generate tests, and assist in program proofs for code analysis problems. The team specifically works on AI-based agents and ensuring they operate within safety boundaries. | Agent | 7 |
| Applied Scientist, Amazon Business Ads Applied Scientist role at Amazon Business Ads focusing on building and deploying scientifically novel software solutions for B2B advertising products. Requires experience in model building for business applications and proficiency in Python/deep learning frameworks. | Ship | 7 |
| AI Creative & Content Manager, Amazon Key This role focuses on building and optimizing AI agents for marketing content generation within the Amazon Key consumer product. It involves designing, training, and evaluating these agents, managing prompt libraries and datasets, and ensuring brand consistency at scale. The role requires a blend of creative storytelling and hands-on AI building experience, with a focus on iterating and improving AI output. | AgentPost-train | 7 |
| Software Development Engineer, Post Silicon Validation Software Development Engineer focused on validating next-generation machine learning accelerators for AWS, covering the full vertical stack from silicon to system-level ML workloads. This role involves hardware bring-up, debug, performance, and reliability testing in a fast-paced, cloud infrastructure environment. | Serve | 7 |
| Senior Software Developer Engineer, AWS Compliance & Security Assurance Senior Software Engineer role focused on building agentic AI solutions to automate and scale AWS compliance and security audit workflows. The role involves designing, implementing, and owning internal services that leverage Generative AI to enhance security and compliance capabilities. | Agent | 7 |
| Applied Scientist II, FinAuto Applied Scientist II role focused on building and deploying machine learning models for financial fraud, theft, abuse, and waste detection within Amazon's financial systems. The role involves research, development, and implementation of ML solutions, with a strong emphasis on productionizing these models and mentoring others. | Agent | 7 |
| Delivery Consultant , AWS Professional Services Full-stack software engineer role focused on building end-to-end applications powered by Generative AI and AI agents using AWS services. The role involves designing, developing, and delivering cloud-native applications, with a strong emphasis on leveraging AI-assisted development tools and agentic workflows. | AgentServe | 7 |
| Software Development Engineer Test, Alexa Global quality The Software Development Engineer Test role on the Alexa Global Quality team focuses on building AI-powered automation tooling for evaluating Alexa's multilingual, conversational, and multimodal experiences across various device surfaces. This involves creating scalable testing frameworks, developing agentic automation for synthetic test generation and LLM-as-a-Judge evaluations, and ensuring cultural and linguistic relevance. | AgentEval Gate | 7 |
| Software Development Engineer Test, Alexa Global quality Software Development Engineer in Test focused on quality assurance automation and framework creation for Alexa's global, multilingual, and multimodal experiences. The role involves building agentic automation tooling for end-to-end quality evaluation, including synthetic test generation, LLM-as-a-Judge, and visual/cultural validation using ML. | Eval GateAgent | 7 |
| Software Development Engineer, Developer Experience Software Development Engineer role focused on building foundational tooling for an internal AI platform at Amazon Ads. The role involves designing and developing scalable software systems for the full AI development lifecycle, including servers, skills, knowledge bases, and agents. It emphasizes enabling internal teams to build, deploy, and scale AI solutions from prototyping to production, with a focus on developer experience and platform infrastructure. | ServeAgent | 7 |
| Business Intelligence Engineer, AHS Finance This role focuses on leveraging generative AI, LLMs, and ML to build intelligent analytics solutions for a finance team, replacing traditional reporting with AI-driven automation and insights. The engineer will build AI-powered tools, GenAI products, and AI agents for stakeholder self-service, aiming to transform data interaction and reporting workflows. | Agent | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | Ship | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | Ship | 7 |
| Software Engineer II, SCOT - Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and generative AI/ML for supply chain optimization, building intelligent infrastructure and enterprise-grade applications on AWS. | Agent | 7 |
| Software Engineer II, SCOT - Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform supply chain operations and build intelligent infrastructure. The role involves designing and deploying AI systems, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Software Engineer II, SCOT-Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform Amazon's supply chain operations. The role involves designing and deploying AI systems/agents, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Data Scientist II, Middle Mile Transportation Science team Data Scientist II on the NASC & TOM Science team at Amazon, focusing on Operations Research, Machine Learning, and AI for middle mile transportation planning. The role involves designing, building, and shipping ML and optimization models end-to-end, from problem framing to deployment and integration with planning tools. Key responsibilities include developing forecasting and optimization solutions, building validation and monitoring pipelines, and partnering with engineering teams for productionization. | ShipData | 7 |
| Software Development Engineer, Item Identity Services (IIS) Software Development Engineer to help architect, build, and ship an AI-native matching platform that replaces legacy rule-based and classical ML matching algorithms with LLM-powered AI systems. The role involves serving LLM-based inference over petabyte-scale product data with sub-millisecond latency requirements, handling millions of requests per second, and solving novel computer science problems at the intersection of LLMs, retrieval, distributed systems, and large-scale data processing. | ServeAgent | 7 |