Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Delivery Consultant – Data, Professional Services, AWSI HCLS This role is for a Principal Delivery Consultant at AWS Professional Services, focusing on Healthcare and Life Sciences (HCLS) transformation programs. The consultant will act as a technical leader, defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. The role involves advising senior customer executives, driving cross-team alignment, and championing responsible AI practices. A key focus is on AI-Native Delivery Transformation, including implementing AI-DLC methodologies and managing multi-agent systems at scale. | AgentServe | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer role focused on building agentic services and applications powered by large language models for Amazon's shopping experience. The role involves architecting, designing, and developing back-end systems, online services, service orchestration patterns, and agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team is working on an AI-first initiative to improve search using foundation models and empower conversational applications for online shopping. |
| Agent |
| 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer to architect, design, and develop agentic services and applications powered by large language models for Amazon Shopping. The role focuses on building expertise in online service architecture, API development, and distributed systems for responsive agentic AI applications at scale, including service orchestration, agent frameworks, and real-time processing. The goal is to establish best practices, enable new agentic AI features, and contribute to the technical roadmap for intelligent agents that reason, plan, and execute complex tasks. | Agent | 7 |
| Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. This role involves defining technical vision, setting architectural standards, advising senior executives, and driving AI-native delivery transformation. The consultant will establish operational foundations for agentic AI, including governance, observability, guardrails, and orchestration, while championing responsible AI practices. | Agent | 7 |
| Senior Delivery Consultant – Modernization, Professional Services, AWSI HCLS Senior Delivery Consultant for AWS Professional Services focusing on Healthcare and Life Sciences (HCLS) transformation programs. The role involves defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. Key responsibilities include establishing enterprise architecture, providing executive technical advisory, driving cross-team alignment, architecting AI/ML and data solutions, and transforming delivery models using AI-native methodologies and multi-agent systems. | AgentServe | 7 |
| Software Dev Engineer II, Enterprise Security Products Software Development Engineer II role focused on building AI-powered security products for enterprise customers. The role involves owning the full lifecycle of large-scale, multi-tiered distributed systems, leveraging agentic AI development practices, and engineering end-to-end full-stack experiences. Key responsibilities include designing and implementing intelligent systems like agentic architectures and conversational interfaces, using AI tools to accelerate development, and partnering with researchers and product managers. The team emphasizes startup speed with Amazon scale, building AI and building with AI. | Agent | 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining vision, roadmaps, driving execution, and partnering with cross-functional teams on AI capabilities including Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 7 |
| Principal Technical Program Manager, Ad Measurements Science This role is for a Principal Technical Program Manager at Amazon Ads, focused on driving AI initiatives within the Ads Measurement Science team. The role involves managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, with a focus on AI tools like an Analyst Agent and a Customer Journey Model. The TPM will work across Product, Science, and Engineering to ensure successful execution and delivery of these strategic initiatives. | Agent | 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 and developing scalable services, APIs, and systems for agent access to internal resources, and implementing benchmarking and prompt trace analysis for quality improvement. The goal is to integrate GenAI into the daily workflows of thousands of Amazon engineers. | Agent | 7 |
| Applied Scientist II, SCOT OSS - Sourcing Execution & Performance This role focuses on building agentic GenAI workflows for supply chain optimization, specifically for vendor coaching, evaluation, and collaborative inventory planning. It involves developing and deploying algorithms, collaborating with engineering teams on training and inference pipelines, and driving technical standards. | Agent | 7 |
| Applied Scientist, Amazon Precision Match The Applied Scientist will design, develop, and optimize ML-based matching algorithms for a high-scale customer service routing system. This involves feature engineering, running simulations and A/B tests, building real-time inference systems, and developing retraining infrastructure. The role focuses on connecting customers with the best service options using recommendation and real-time ML inference techniques. | AgentServe | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - Agentic Conversations Software Development Engineer II role focused on building the infrastructure layer for managing agentic conversations and AI capabilities at Amazon scale. This involves designing and building scalable platform services for AI skills, agents, and tool integrations, developing APIs for autonomous agents, and creating systems for measuring agent quality and driving improvements. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Principal Product Mgr - Tech, Alexa 3P Experiences Principal Product Manager - Tech for Alexa+ 3P Experiences, focusing on defining the vision, roadmap, and features for conversational AI experiences leveraging LLMs and spoken language technologies. The role involves enabling internal teams and external partners to create engaging Alexa experiences, with a strong emphasis on developer platforms and ecosystems. The goal is to expand third-party capabilities on Alexa+ at massive scale. | Agent | 7 |
| Sr. Data Scientist , Companion Product & Servi (ComPAS) Senior Data Scientist to build advanced ML models and AI-powered tools for pricing, marketing, and consumer science within Amazon's Companion Products & Services portfolio. The role involves full model lifecycle ownership, leveraging generative AI and LLMs to automate insights and workflows, and designing experiments to measure impact. The goal is to create intelligent, self-improving systems for decision science at scale. | Agent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, HCLS This role focuses on designing and implementing cloud architectures for Healthcare & Life Sciences customers, with a significant emphasis on leveraging AI/ML and Generative AI. The Solutions Architect will build prototypes, proofs of concept, and reference architectures, and educate customers on AWS capabilities. The role requires staying current on emerging AI/ML technologies and translating that knowledge into actionable guidance. | Agent | 7 |
| Applied Scientist, Tallent Intellgience This role focuses on building and deploying AI systems and machine learning models to optimize Amazon's global campus recruiting process. Key responsibilities include developing models for school recommendations, talent supply projections, and matching candidates to requisitions. The role involves creating data-driven models for sourcing strategies and recruiter decision-making, developing supply forecasting and school ranking algorithms, and leading the development of AI systems for automation and strategy recommendations. It also includes planning and implementing controlled experiments to test and optimize these systems. | AgentData | 7 |
| Sr Software Development Engineer, Brand Store Shopping Experience Senior Software Development Engineer to build GenAI-powered, agentic shopping experiences on Amazon Brand Stores, integrating conversational AI with traditional browsing. The role involves providing technical leadership, designing and delivering GenAI capabilities, building systems for accuracy and safety, owning scalable low-latency systems, partnering with applied scientists to productionize models, and establishing evaluation frameworks. The focus is on end-to-end ownership from architecture to production operation. | AgentServe | 7 |
| Applied Scientist, Tallent Intellgience This role focuses on building and deploying AI systems and machine learning models to optimize Amazon's global campus recruiting process. Key responsibilities include developing models for school recommendations, talent supply projections, and matching candidates to requisitions. The role involves creating data-driven models for sourcing strategies and recruiter decision-making, developing supply forecasting and school ranking algorithms, and leading the development of AI systems for automation and strategy recommendations. It also includes planning and implementing controlled experiments to test and optimize these systems. | AgentData | 7 |
| Senior Software Development Engineer, Autonomous AI Security Senior Software Development Engineer to create autonomous AI security solutions for Amazon, leveraging AI/ML to automate threat detection, analysis, and remediation. The role involves architecting, designing, and developing these systems, building scalable applications, and mentoring a new team to enhance Amazon's security posture. | Agent | 7 |
| Head of Learning Architecture, AWS Training and Certifications This role leads the Learning Architecture team at AWS Training & Certification, focusing on building the knowledge layer for AI agents that power personalized learning experiences. The team owns strategy, roadmap, and execution for systems like persona frameworks, skills, assessment architecture, and quality rubrics. The role involves managing a team of Learning Architects and collaborating with Applied Science and Engineering to define AI capabilities, drive quality at scale through a Quality & Rubric Engine, and govern the AWS skill taxonomy. Experience in people management and building products with Agentic AI is required. | AgentEval Gate | 7 |
| Data Scientist- Finance AI Transformation, Global FP&A Technology, GFT, Corp FP&A Data Scientist role focused on building AI capabilities for financial planning and analysis (FP&A) at Amazon. The role involves developing forecasting models and AI systems, including agents, to automate repetitive finance tasks. The models ship to production and influence key financial decisions like stock-based compensation and headcount planning. Responsibilities include applying data science methodologies, leading model lifecycles from research to production, conducting experiments, and partnering with stakeholders. | AgentPost-train | 7 |
| Software Dev Engineer - Full Stack, GenAIUX The role focuses on building Generative AIUX products for AWS customers, specifically an AI-powered internal prototyping tool (Venue) and an external version (Arena). It involves integrating with LLMs, optimizing AI-driven interfaces, and designing end-to-end GenAI-powered services for design generation, validation, and automation. | Agent | 7 |
| Applied Scientist II, Secure Tool Foundations This role focuses on designing and building agentic AI systems for security automation within Amazon. The scientist will reason about code, produce security intelligence, and adapt AI/ML techniques to solve security problems, ultimately contributing to the development of secure software at scale. | Agent | 7 |
| Software Dev Engineer II, AWS Web Toolkit, Platform Experience Software Development Engineer II for AWS User Experience Products & Platform team, focusing on building an intelligent, agent-powered system to automate and accelerate AWS Management Console development. The role involves designing and architecting a multi-agent system leveraging LLMs, tool-use, and autonomous reasoning to generate, validate, and deploy console experiences. | Agent | 7 |
| Senior Robotics SDE III, Amazon Robotics - Vulcan Senior Software Development Engineer for Amazon Robotics' Vulcan program, focusing on motion behaviors for robotic manipulation. The role involves designing and building software infrastructure, observability tools, and ML training/deployment pipelines for production robot systems. It sits at the intersection of robotics, ML systems, and production engineering, requiring experience in C++, Python, and building reliable, scalable systems in complex real-time domains. | AgentServe | 7 |
| Applied Science Manager, Stores-Ads Science Applied Science Manager to lead a team focused on understanding and optimizing how advertising creates value for shoppers and selling partners, particularly as the shopping experience evolves towards agentic commerce. The role involves leading research, designing experiments, developing optimization algorithms, and translating research into production systems, with a strong emphasis on causal inference, economic modeling, and applied ML. | AgentData | 7 |
| Customer Solutions Manager, Aerospace and Satellite The Customer Solutions Manager (CSM) for AWS's Aerospace & Satellite team advises aerospace and satellite organizations on cloud adoption and AI transformation. The role involves guiding customers through multi-year cloud adoption, migration, modernization, and AI transformation initiatives, focusing on deploying agentic AI workflows, building generative AI assistants, modernizing telemetry and command platforms, and accelerating launch readiness with intelligent automation. The CSM acts as a trusted advisor and central connector between customers and AWS teams, driving execution and identifying opportunities for AI/ML capabilities in space data processing and autonomous operations. | Agent | 7 |
| Data Scientist I, SCOT-Inbound, Planning Optimization This role focuses on developing and enhancing mathematical optimization models for supply chain planning, specifically for Amazon's North American network. It involves building intelligent agents using Agentic and Generative AI to automate planning workflows, make model outputs interpretable, and run network simulations. The role also includes collaborating with software engineering to productionalize models on AWS infrastructure and designing metrics for performance evaluation. | Agent | 7 |
| Software Development Engineer, Sponsored Products Off-Search Homepage Team Software Development Engineer role focused on applying Generative AI and Large Language Models to enhance advertising experiences on Amazon's shopping surfaces at massive scale. The role involves designing, developing, and operating large-scale distributed systems, optimizing data pipelines, and collaborating with scientists and product managers to deliver personalized, context-aware advertising solutions. | Agent | 7 |
| Sr. Prototyping Architect, AGS Security Engineering Senior Prototyping Architect for a new AGS Security Engineering team focused on building secure solutions and prototypes for customers adopting generative AI and agentic architectures. The role involves hands-on building of security capabilities, developing secure reference patterns, and enabling the broader field to build securely. It emphasizes working with emerging technologies and evolving secure engagement practices. | Agent | 7 |
| Senior Business Intelligence Engineer, Devices Demand Science Optimization Senior Business Intelligence Engineer to build AI-native data products for Amazon Devices, architecting semantic and contextual layers for AI agents to reason over business data. Responsibilities include data pipelines, MCP servers, semantic layers for AI agents, AI-powered automation for business workflows, and evaluating/integrating emerging AI/ML capabilities. | AgentData | 7 |
| Sr Manager, Software Dev, Design Technologies This role is for a Sr. Manager of Software Development focused on building and delivering next-generation agentic AI technologies within Amazon's Devices organization. The role involves leading a team to create intelligent, scalable systems that unify enterprise tools and streamline data-driven decision-making, bringing AI-powered efficiency to the engineering ecosystem. The focus is on building and launching new AI services from the ground up, with a strong emphasis on agentic AI and its application in hardware engineering. | Agent | 7 |
| Applied Scientist, Amazon Customer Service This role focuses on applying Generative AI, ML, and NLP to enhance customer service experiences within Amazon. The Applied Scientist will own the definition and implementation of AI-driven innovations, transforming business requirements into technology solutions. Key responsibilities include developing novel algorithms, analyzing data for insights, and collaborating with cross-functional teams to integrate models into production systems. | Agent | 7 |
| Software Development Engineer II, AMX Learn Software Development Engineer II role focused on building AI-powered learning solutions and content creation tools using generative AI and an agentic AI framework for Amazon's talent development ecosystem. | Agent | 7 |
| Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations Product Manager for AWS FinOps Agent, focusing on building agentic workflows and defining the strategy for generative AI in cloud financial management. The role involves understanding customer needs, defining product vision, and collaborating with engineering and applied science teams to deliver autonomous FinOps experiences. | Agent | 7 |
| Principal Applied Scientist, Agentic Automated Reasoning Group This role focuses on building the next generation of software verification tools by combining advances in AI, cloud computing, and formal verification techniques. The Principal Applied Scientist will define roadmaps, lead delivery of AI solutions, identify and implement new analysis capabilities, and explore generative AI for tasks like requirement formalization, test generation, and proof repair. The role involves using a combination of traditional formal methods and generative AI to solve complex code analysis problems. | Agent | 7 |
| Principal Product Manager – Technical, Amazon Music Agent Experience, Amazon Music - CX Infrastructure Principal Product Manager, Technical for Amazon Music's Agent Experience and Music Intelligence. This role defines the strategic vision for AI-powered music experiences across all Amazon Music product surfaces, focusing on cross-platform strategy, intelligence layer utilization, and emerging technologies like generative AI. The PM will influence senior leadership, partner across organizations, and translate complex technical capabilities into customer-facing product strategies with clear business cases. | Agent | 7 |
| Customer Engineer, Advanced Customer Engineering, Global Financial Services Customer Engineer focused on building Agentic AI and multi-modal Generative AI applications and workflows for financial services customers on AWS. This role involves creating end-to-end solutions, prototypes, and modern data applications, with a strong emphasis on hands-on development with AWS AI services. | Agent | 7 |
| Principal Product Manager - Tech, Sponsored Products and Brands Principal Product Manager - Tech for Sponsored Products and Brands, focusing on advertiser-facing Gen AI products and conversational commerce. The role involves defining product vision, rethinking campaign management using LLMs, and collaborating with various teams to deliver intelligent, adaptive experiences. It requires deep Ad Tech expertise and the ability to influence across organizational boundaries. | Agent | 7 |
| Professional Services II - AMZ19475.5 This role focuses on building and delivering Generative AI solutions for customer-facing business problems using AWS services and open-source technology. Responsibilities include designing, developing, and evaluating solutions like RAG, multi-agent systems, and model fine-tuning, as well as providing guidance and creating best practices for customers. The role also involves analyzing data to optimize processes and identify investment opportunities. | AgentPost-train | 7 |
| Software Development Engineer, Amazon Marketing Cloud Assistant Software Development Engineer II role focused on building the backend services for an AI-powered conversational agent (Amazon Marketing Cloud Assistant) that allows advertisers to interact with data using natural language. The role involves designing and building scalable data pipelines, LLM orchestration, prompt engineering, tool use, agent workflows, and contributing to the evaluation framework for agent accuracy. It operates at the intersection of LLMs, distributed systems, and large-scale advertising data. | Agent | 7 |
| SDE II - Scanless Tech, AR Scanless Technology Software Development Engineer II (SDE II) for Amazon Robotics Scanless Tech team, focusing on developing and deploying machine learning and computer vision based software technologies for robotics applications. The role involves building edge and cloud CV applications, leveraging AWS ML, optimizing fulfillment infrastructure, and partnering with Applied Scientists to develop ML applications. The team's solutions are core to the business and deployed at scale. | AgentServe | 7 |
| Applied Scientist, NA Stores Expansion This Applied Scientist role focuses on building and deploying AI/ML models and LLM-powered systems for Amazon's North America Stores. The role involves developing workflows that combine ML models with optimization engines and human-in-the-loop capabilities, building scalable data and inference pipelines, and designing experimentation frameworks. The goal is to automate complex business processes and serve real-time predictions in production, impacting areas like supply chain, customer engagement, and inventory management. | AgentServe | 7 |
| Research Scientist, Operational Efficiency, AET Planning and Analytics Science Research Scientist role focused on building novel solutions for workforce optimization using operations research, causal inference, machine learning, and generative AI. The role involves designing simulation and optimization models for scheduling, hiring, and task assignment, developing causal inference frameworks, and collaborating with senior leaders to influence strategic decisions. The work directly impacts operational efficiency and employee experience at Amazon's global scale. | Agent | 7 |
| 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 |
| 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 |
| 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 |