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 |
|---|---|---|
| Member of Technical Staff, Multimodal Agents, AGI Autonomy Principal Engineer role in Amazon AGI Lab focused on building multimodal agents and the systems to run them reliably at scale. This role involves taking models from prototype to production, setting technical direction, and partnering with researchers to scale emerging VLM and agent ideas. It requires end-to-end ownership, from agent runtime to data management and value delivery. | AgentServe | 9 |
| Director, Applied Science, Full Funnel Advertising (FAIM) Director-level role leading a team to build and scale AI/ML-powered agentic systems for advertising, optimizing advertiser outcomes across the full funnel. Focus on production systems, multi-agent architectures, and innovation in AI-powered advertising solutions. | Agent |
| 9 |
| Member of Technical Staff, Multimodal Agents, AGI Autonomy Principal Engineer to lead technical direction for a frontier research and product team building multimodal agents for AGI. The role involves end-to-end ownership from research collaboration and novel architecture design to productionizing systems, defining agent runtimes, and ensuring reliable operation at scale. Responsibilities include creating research/engineering tooling, mentoring, driving technical reviews, and influencing broader AGI initiatives through reusable primitives and clear strategy. The role also emphasizes external representation via publications and open-source contributions. | AgentServe | 9 |
| Applied Scientist II, Visual Search Science Applied Scientist II role focused on building an AI-powered visual search experience. This involves designing and optimizing generative AI models for real-time image generation, developing multimodal retrieval systems to connect images to a large product catalog, and building LLM-based classifiers for intent detection and safety filtering. The role also includes advancing AI safety and conducting large-scale online experiments. | AgentServe | 9 |
| Senior Applied Scientist, Safe Locomotion, Compass Senior Applied Scientist role focused on developing and deploying safe legged locomotion algorithms for robots using Reinforcement Learning (RL), sim-to-real transfer, and integrating learned policies with model-based control. The role involves training policies for dynamic gaits, ensuring safety constraints, and collaborating with other robotics teams. | AgentData | 9 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing and deploying perception algorithms for robotic systems, leveraging computer vision, sensor fusion, and Vision-Language Models (VLMs). The role involves end-to-end ownership of ML models, from data to deployment, and contributing to research that reshapes the field of robotics and AI. | Agent | 9 |
| Applied Scientist, Navigation This role focuses on designing, developing, and deploying advanced navigation systems for robotic systems, leveraging cutting-edge AI, foundation models, and control-theoretic approaches. The scientist will lead research, own ML models end-to-end, and translate research into deployed production systems for autonomous robotics at scale. | AgentServe | 9 |
| Director, Applied Science, Alexa for Shopping (Rufus) Director of Applied Science for Alexa for Shopping, leading the science vision and execution for a next-generation conversational AI platform. This role involves owning the end-to-end science roadmap for a multi-agent architecture powered by LLMs, SLMs, RL, and post-training optimization to create a personalized and intelligent shopping assistant. The focus is on distilling data, building specialized models through fine-tuning and RL, and architecting intelligent agent routing. | AgentPost-train | 9 |
| Principal Solutions Architect, Generative AI, AWS Industries, Telco This role is for a Principal Solutions Architect focused on Generative AI within AWS Industries, specifically for the Telco sector. The primary responsibility is to design, architect, and deliver production-grade generative AI solutions, including agentic voice systems, AI assistants, and real-time translation. The role involves prototyping, building proof-of-concepts, writing code, contributing to open-source projects, and developing reusable blueprints. It requires deep expertise in generative AI, including foundation models, multimodal models, RAG, speech models, and agentic workflows, combined with an understanding of complex and regulated telco environments. The Solutions Architect will act as a trusted technical advisor to telco customers, guide their AI-native product design, influence AWS product roadmaps, and publish their work. The role emphasizes building AI products in complex, regulated environments and requires comfort with both high-level architecture and hands-on coding. | AgentServe | 9 |
| Sr Data Scientist, SPX AI Lab, SPX Science Senior Data Scientist role focused on defining and building agentic AI capabilities for Amazon Seller Assistant, a GenAI-first multi-agent system. The role involves owning the science vision, shipping agentic experiences, translating research into production features, and designing evaluation frameworks for a system used by millions of sellers. | Agent | 9 |
| Senior Applied Scientist, Selling Partner Support Engagement Senior Applied Scientist role focused on building and improving AI agents for customer support using reinforcement learning and agentic architectures. The role involves end-to-end research and development, from problem formulation to production deployment, with a focus on preference learning, reward modeling, and policy optimization for conversational agents. It also includes building evaluation frameworks and collaborating with engineering teams to deploy models at scale. The role emphasizes shipping AI agents that autonomously resolve issues and learn from interactions. | AgentPost-train | 9 |
| Principal Applied Scientist, AWS Agentic AI Principal Applied Scientist role at AWS focusing on Agentic AI for an enterprise generative AI assistant. Responsibilities include leading research and development in generative AI and Agentic AI, building and optimizing multi-modal foundation models, training and fine-tuning LLMs, and architecting scalable systems. The role involves bringing research into production and enabling intelligent agents for complex reasoning and workflow automation. | AgentPost-train | 9 |
| Sr. Applied Scientist, Amazon Cyber Threat Intelligence Senior Applied Scientist role focused on inventing and deploying AI/ML systems for cyber threat intelligence at Amazon scale. Responsibilities include identifying and solving complex threat intelligence problems, extending ML techniques for cybersecurity, and implementing production AI/ML systems for threat detection, analysis, and defense. The role involves building predictive models, graph neural networks, and LLM-powered systems, with a strong emphasis on deploying models into production and influencing across teams. | AgentServe | 9 |
| Applied Scientist II, GenAI Evaluation Media (GEM) Applied Scientist II role focused on GenAI Evaluation Media (GEM) for visual shopping experiences. The role involves research and development of agentic AI capabilities for multimodal understanding, visual content generation/editing, virtual try-on, and automated quality assurance. Success requires establishing robust metrics, collaborating cross-functionally, and delivering scalable solutions. | AgentShip | 9 |
| Sr. Applied Scientist, AWS Just-Walk-Out Science Team Sr. Applied Scientist role on the AWS Just-Walk-Out Science Team, focusing on developing and implementing advanced visual reasoning systems and autonomous AI agents for checkout-free retail environments. This role involves tackling complex problems in computer vision, machine learning, and real-time systems, with a strong emphasis on innovation and pushing the state of the art. | AgentServe | 9 |
| Applied Scientist II, AWS Just-Walk-Out Science Team The Applied Scientist II role on the AWS Just-Walk-Out Science Team focuses on developing and implementing advanced visual reasoning systems and autonomous AI agents for a checkout-free retail environment. This involves understanding complex spatial relationships, object interactions, customer behavior, and adapting to dynamic retail settings using computer vision, sensor fusion, and machine learning. | AgentServe | 9 |
| Senior Applied Scientist, Funnel Agentic Intel This role focuses on building and evaluating agentic AI systems for Amazon Ads. The agent will understand advertiser intent, reason about campaign strategy, and execute actions across the Amazon Ads portfolio. Key responsibilities include designing and building multi-step agentic workflows, invoking tools, and taking autonomous actions. The role also involves defining evaluation frameworks for agent reliability, correctness, and safety, analyzing agent behavior through data analysis and A/B experimentation, and partnering with cross-functional teams to ship end-to-end agent experiences at scale. | Agent | 9 |
| Applied Scientist, Navigation This role focuses on designing, developing, and deploying intelligent navigation systems for advanced robotic systems. It involves leveraging machine learning, AI, and control theory to create scalable and safe navigation solutions for dynamic environments. The role bridges research and production, with a strong emphasis on learning-based approaches, foundation models for embodied agents, and control-theoretic methods like MPC. Key responsibilities include developing perception algorithms, leading research in computer vision and sensor fusion, and owning ML models end-to-end, from data to deployment. The role also involves publishing research and mentoring junior scientists. | AgentServe | 9 |
| Senior Applied Scientist, Navigation Senior Applied Scientist focused on designing, developing, and deploying intelligent navigation systems for advanced robotic systems. This role involves leading research in learning-based planning and control, foundation models for embodied agents, and control-theoretic approaches like MPC, with a strong emphasis on translating research into deployed, scalable systems. | AgentServe | 9 |
| Sr. Applied Scientist, Applied AI Solutions Senior Applied Scientist role focused on designing, developing, and evaluating long-running AI agents for AWS Applied AI Solutions. The role involves building agentic use cases, defining evaluation frameworks for complex agent outputs, and ensuring production deployment. Requires experience in building ML models for business applications and applied research. | Agent | 9 |
| Senior Applied Scientist, New Initiatives Senior Applied Scientist role focused on building agentic AI systems, multi-agent architectures, tool-augmented LLMs, and RAG pipelines for climate-related products. The role involves end-to-end product development from research to production, with a focus on autonomous analysis, planning, and execution of recommendations, leveraging multimodal AI and deep learning on time series data. | Agent | 9 |
| Senior Applied Scientist , Alexa AI Aurora Senior Applied Scientist role focused on advancing conversational AI technologies, specifically LLMs and generative AI, for Alexa. The role involves defining science roadmaps, architecting agentic systems, establishing evaluation frameworks, and driving end-to-end delivery of research initiatives from experimentation to production. Emphasis on building scalable agentic systems for conversation understanding and generation, and contributing to the team's scientific reputation through publications and patents. | AgentEval Gate | 9 |
| Principal, Senior Principal and Distinguished Engineer, AWS Agentic AI Seeking Principal Engineers to join AWS Agentic AI organization. This role involves designing, building, and scaling systems for AI agent platforms, services, and tools, focusing on multi-agent workflows and foundational technical infrastructure. The position requires strong technical leadership, architectural design, and the ability to drive innovation in a fast-paced environment. | Agent | 9 |
| Applied Scientist, SPX AI Lab Applied Scientist role focused on building and deploying production-grade, multi-agent generative AI systems for Amazon's Seller Assistant, impacting millions of sellers worldwide. The role involves creating next-generation tools, designing and deploying innovative models, and establishing scalable processes for model implementation and validation. | AgentShip | 9 |
| Applied Scientist II, AWS Just-Walk-Out Science Team This role focuses on developing and implementing advanced visual reasoning systems and autonomous AI agents that understand complex spatial relationships, object interactions, and customer behavior patterns in real-time retail environments. It involves working at the intersection of computer vision and large language models to advance state-of-the-art visual AI. | AgentPost-train | 9 |
| Delivery Consultant- AI/ML, WWPS ProServe This role focuses on designing, implementing, and scaling AI/ML solutions for AWS customers, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, train, and fine-tune models, and deploy these solutions. The role involves architecting complex solutions, conducting experiments, and optimizing performance, acting as a trusted advisor on AI/ML advancements. | AgentPost-train | 8 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, emphasizing real-time solutions and end-to-end data excellence within a consumer product context. | Agent | 8 |
| Senior Data Scientist, Enterprise Security Products Senior Data Scientist role focused on building AI-first security products, with a strong emphasis on agentic AI, RAG, and evaluation frameworks. The role involves setting science strategy, architecting solutions, and driving adoption of AI tooling within an enterprise security context. | Agent | 8 |
| Software Development Engineer, Catalog Diagnostics (Agentic) & Analytics Software Development Engineer role focused on building agentic diagnostics and analytics services for Amazon's product catalog. The role involves using Generative AI, VLMs, and multimodal reasoning to understand product identity and relationships at a massive scale. Responsibilities include designing and implementing agentic frameworks, pioneering explainable AI, owning data pipelines, and defining product roadmaps. The team manages large data lakes and builds agentic solutions for catalog diagnostics, focusing on feedback loops, accuracy, and automated skill creation. | AgentData | 8 |
| Senior Manager Software Development, AWS Systems Manager Senior Manager Software Development role leading three engineering teams in AWS Systems Manager's Automation suite. The role focuses on building the execution layer for AI agents to safely take actions on cloud infrastructure at scale, including pre-execution impact analysis, safety frameworks, and intelligent orchestration. The teams will ship capabilities that enable customers to trust AI agents for autonomous operations. | AgentServe | 8 |
| Sr. Software Development Engineer, Amazon Shopping (Rufus) Senior Software Development Engineer role focused on building and scaling agentic AI 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 efficient agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The position emphasizes improving LLM application efficiency and enabling new agentic AI features. | AgentServe | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer II to design and build AI-powered advertiser controls, including bidding systems, agentic architectures, and experimentation systems. The role involves developing AI engineering infrastructure, interfacing agentic architectures, and designing experimentation systems to optimize ad campaigns on Amazon. | AgentServe | 8 |
| Senior Applied Scientist, AWS Marketplace Science Senior Applied Scientist role at AWS Marketplace focusing on building advanced AI/ML systems for information retrieval and agentic systems. The role involves translating scientific research into practical, scalable solutions, driving evaluation, and collaborating with product and engineering teams. It emphasizes experience in large-scale B2B platforms, generative AI, and agentic systems, with a focus on shaping purchasing decisions. | AgentServe | 8 |
| Software Development Manager, Amazon Quick Software Development Manager for a new generative AI-powered assistant initiative within Amazon Quick. The role involves leading a team to define, drive, and execute product vision, invent and ship software impacting end customers, and collaborate with scientists and product managers. Requires experience in engineering team management, system design, and shipping production software, with a preference for Gen-AI development and LLM application engineering. | Agent | 8 |
| Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice The Applied Scientist II will design, implement, and deploy AI-powered agentic solutions for Amazon's recruiting process. This role involves creating conversational AI agents using LLMs and GenAI, developing evaluation frameworks, and collaborating with cross-functional teams to integrate these solutions into candidate-facing platforms. The position also requires staying current with agentic AI research and contributing to the scientific community. | Agent | 8 |
| Principal Solutions Developer , Prototyping and Customer Engineering (PACE) Principal Solutions Developer role focused on building prototypes and customer engineering solutions using AI, Generative AI, and Agentic Design within enterprise contexts on AWS. The role requires a strong builder mentality, technical depth, and customer-facing skills to explore new technical grounds and accelerate AWS adoption. | Agent | 8 |
| Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice This role focuses on designing, implementing, and deploying AI-powered agentic solutions for Amazon's talent acquisition process. The scientist will leverage LLM and GenAI technologies to create conversational AI agents that guide candidates through the hiring journey, and will develop evaluation frameworks to measure agent effectiveness and user experience. Collaboration with cross-functional teams and staying current with agentic AI research are also key responsibilities. | Agent | 8 |
| Software Development Manager, Analytics and Data Management Software Development Manager leading a team to build and scale a conversational AI assistant (SpektrBot) for interacting with a large advertising data lake. The role involves managing engineers, driving execution on core products like RAG pipelines and multi-agent architectures, ensuring operational excellence, and coordinating with various partner teams to deliver AI-powered data insights through natural language. | AgentServe | 8 |
| Applied Scientist, FinTelligence This role focuses on building and deploying generative AI applications within Amazon's FinTech organization. The primary responsibility is to create AI systems and autonomous agents that process financial transactions, extract intelligence from documents, and learn from user interactions. The role involves solving inference at scale, developing robust evaluation frameworks, and ensuring the AI systems are trustworthy and compliant for finance teams. The work spans from model architecture to deployment and customer workflow impact, with a strong emphasis on shipping production-ready AI solutions. | AgentServe | 8 |
| Applied Scientist, FinTelligence This role focuses on building and scaling generative AI applications for finance teams, involving the development of autonomous agents, efficient inference systems, and robust evaluation frameworks. The position emphasizes shipping production-ready AI systems that handle sensitive financial data and require high precision and reliability. | AgentServe | 8 |
| Sr. Software Development Engineer, Products and Solutions Senior Software Development Engineer to own the architecture and delivery of production systems for AI-powered enterprise cloud migration products. The role involves building agentic AI solutions where AI agents and human consultants collaborate, focusing on orchestration, workflow, and platform infrastructure within the AWS ecosystem. | Agent | 8 |
| Software Development Engineer, Products and Solutions Software Development Engineer to build AI-powered agentic solutions for enterprise cloud migrations, acting as a platform where AI agents and human consultants collaborate. The role involves designing and delivering production features end-to-end within a product engineering team, focusing on agent logic, orchestration, and integration with AWS services. | Agent | 8 |
| Software Development Engineer, Products and Solutions Software Development Engineer to build AI-powered agentic solutions for enterprise cloud migrations, acting as a platform where AI agents and human consultants collaborate. The role involves designing and delivering production features end-to-end within a product engineering team, focusing on agent logic, orchestration, and integration with AWS services. | Agent | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and shipping the SPB Agent platform, which powers agentic AI experiences for advertisers on Amazon. The role involves architecting and developing generative AI systems that reason over campaign performance, make autonomous decisions, and deliver personalized guidance at scale, integrating LLMs and distributed systems within the advertising domain. | Agent | 8 |
| Applied Scientist II, Demand Enablement, Product Analytics and Operations This role focuses on designing and building intelligent multi-agent systems for automating root cause analysis in advertising campaign delivery at scale. It involves architecting agentic orchestration, developing hierarchical analysis frameworks, and creating self-learning feedback loops. The goal is to significantly reduce advertiser escalation time by leveraging LLM-based agent architectures and retrieval-augmented generation. | Agent | 8 |
| Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Solutions Architect III for AWS Healthcare & Life Sciences, focusing on architecting production AI/ML systems, including generative AI and agentic architectures, for healthcare organizations. The role involves leading technical engagements, defining reference architectures, influencing stakeholders, and producing thought leadership content, with a strong emphasis on regulated environments. | AgentData | 8 |
| Public Sector Partner SA - OpenAI , WWPS Global ISV Partners This role focuses on being a technical partner lead for OpenAI within AWS's public sector, designing, prototyping, and deploying generative AI solutions. It requires hands-on engineering skills to build prototypes, evangelize capabilities, publish reference architectures, and work with both developers and executives in regulated and classified environments. The role involves deep collaboration with OpenAI and government customers, focusing on RAG, agentic workflows, fine-tuning, and multi-modal deployments on AWS. | AgentServe | 8 |
| Sr Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer to architect and lead the AI bidding platform for Amazon Sponsored Products and Brands. This role involves owning the technical strategy for real-time inference, GenAI agents, and experimentation infrastructure, focusing on sub-millisecond latency and autonomous learning at scale. Responsibilities include designing bidding engines, agentic intelligence layers using LLMs and RL, and experimentation systems, while also leading engineering efforts and mentoring teams. | AgentServe | 8 |
| Applied Scientist II, Visual Search Science Applied Scientist II role focused on building generative AI and multimodal search systems for Amazon's visual search experience. The role involves designing, training, and optimizing text-to-image generation models, developing multimodal retrieval systems, building LLM-based classifiers for intent and safety, and architecting GPU-intensive inference pipelines. It operates at Amazon scale, serving hundreds of millions of customers. | AgentServe | 8 |
| SDE, AI Infrastructure, AFT AI Software Development Engineer to lead engineering efforts in developing infrastructure for agentic AI solutions in Amazon warehouses, including training and inference pipelines, and transforming research artifacts into scalable systems. | AgentServe | 8 |