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, Applied Scientist, AWS Applied AI Solutions This role focuses on leading technical innovation in visual reasoning foundation models, specifically building a next-generation visual reasoning engine powered by frontier Large Video Models (LVMs). The goal is to create a system that rivals human understanding of the physical world, capable of interpreting natural language, navigating environments, and executing complex tasks. It sits at the intersection of LVMs, LLMs, and Agentic AI, requiring end-to-end ownership from research to production deployment, with a focus on advancing state-of-the-art and solving real-world business problems. | AgentPost-train | 10 |
| 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 |
| Applied Scientist II, Alexa for Shopping Science UK Applied Scientist II role focused on developing and optimizing LLM/SLM powered conversational experiences for Alexa Shopping. This involves designing and implementing LLM agents, instruction design, contextual grounding, using MCP tools, agent/multi-agent systems, context engineering, model fine-tuning, and evaluation frameworks. The role also involves applying ML/DL techniques for last-mile improvements in ranking, relevance, personalization, and multimodal understanding, and designing agentic architectures with considerations for quality, latency, and reliability at scale. It requires hands-on analysis of multimodal interaction datasets, using statistical methods for evaluation and optimization, and collaborating with product and engineering teams. | AgentPost-train | 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, Alexa AI Senior Applied Scientist role focused on defining and driving the science roadmap for conversational AI systems using LLMs, impacting millions of customers. Responsibilities include designing LLM fine-tuning, alignment, and agentic architectures, owning end-to-end delivery from research to production, developing evaluation frameworks, and collaborating with cross-functional teams. The role involves publishing at top-tier conferences and generating intellectual property. | AgentPost-train | 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 |
| Principal Applied Scientist Perception, Compass Seeking a Principal Applied Scientist to lead safety-critical perception for robots, developing novel real-time predictive models of dynamic environments and human motion. This role involves architecting generalizable perception pipelines across sensor modalities, investigating foundation models, and quantifying perception uncertainty to ensure safe robot autonomy. | AgentData | 9 |
| Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE) This role focuses on architecting and building Generative AI and Agentic AI prototypes for AWS customers, leveraging LLMs, RAG, function calling, autonomous agents, and multi-agent orchestration. The emphasis is on rapid development and demonstrating the potential of these technologies to influence customer adoption. | Agent | 9 |
| Applied Scientist, Conversational Assistant Modeling and Learning Applied Scientist role at Amazon focusing on building Alexa+, an LLM-powered conversational assistant. Responsibilities include LLM fine-tuning, alignment, agentic reasoning, and evaluation pipelines. The role involves designing and implementing end-to-end systems, translating research into production, and publishing results. It operates at massive scale across multiple languages and device types. | AgentPost-train | 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 |
| Applied Scientist, Selling Partner Support Engagement Research scientist role focused on building and improving AI agents for customer support, involving RL-based systems, preference learning, reward modeling, and policy optimization. The role emphasizes end-to-end ownership from research to production deployment, collaboration with engineering teams, and publishing research. It operates within an enterprise AI domain focused on scaling AI solutions for customer 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 Sciences Manager , Ads Brand Safety and Suitability Manager for an Applied Sciences team focused on building AI-powered Brand Safety and Content Classification systems for Amazon Ads. The role involves leading the development of next-generation systems that make millisecond-level decisions across billions of content signals, adapting to emerging risks from generative AI. Key challenges include detecting AI-generated content, understanding contextual brand risk, designing adaptive models, and leveraging LLMs for real-time semantic understanding at internet scale. | AgentServe | 9 |
| Human-Robot Interaction Applied Scientist , Fauna Seeking an HRI Applied Scientist to develop cutting-edge interactions for robots, focusing on verbal/non-verbal systems, social dynamics, memory, and long-term relationships. The role involves developing interactive systems using LLMs, multimodal inputs/outputs, and RLHF, designing conversational systems, integrating sensor streams, and developing memory/personalization systems. The scientist will stay updated on HRI/ML/AI/HCI advancements, lead technical projects, mentor junior staff, and bridge research with engineering. | AgentPost-train | 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 |
| Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research Research scientist role focused on building industry-leading generative AI and foundational models, with a specific emphasis on Agentic AI, impacting millions of customers through speech, vision, and language technologies. The role involves developing novel algorithms and modeling techniques, working with large-scale data and computing resources. | AgentPost-train | 9 |
| Senior Applied Scientist, AWS Quick Senior Applied Scientist role focused on building next-generation models for intelligent automation within AWS. The role involves designing and implementing neuro-symbolic systems that integrate formal reasoning with GenAI for reliable outcomes, enhancing formal reasoning capabilities for agentic applications, and driving adoption of these solutions across AWS services. It requires end-to-end ownership of the science lifecycle, including research, experimentation, production deployment, and defining performance metrics. The position also involves mentoring junior scientists and contributing to state-of-the-art through publications and patents. | AgentEval Gate | 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 |
| Member of Technical Staff - Science, Frontier AI & Robotics (FAR) This role focuses on foundational research and building intelligent robotic systems, operating at the intersection of AI research and robotics. The individual will conduct original research, publish findings, and deploy innovations into production systems at Amazon scale. Key areas include developing foundation models, full-stack robotics systems, locomotion, manipulation, perception, sim2real transfer, multi-modal and multi-task robot learning, and designing frameworks that bridge research and deployment. | AgentPost-train | 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 |
| Senior Applied scientist, Agentic AI, AWS Agentic AI Research scientist role focused on building next-generation models for intelligent automation using autonomous agents, API orchestration, multimodal models, and reinforcement learning within AWS. | Agent | 9 |
| Applied Scientist, Agentic Automated Reasoning Group Pioneering next-generation neuro-symbolic tools by fusing AI breakthroughs with cloud scale and automated reasoning expertise. This role involves building scalable formal reasoning solutions, integrating GenAI and Agentic AI, and applying software engineering best practices to production systems. Responsibilities include defining and implementing automated reasoning features, designing and running RL pipelines, experimenting with model tradeoffs, and collaborating cross-functionally. The role also focuses on enhancing formal reasoning systems for GenAI applications, owning the science lifecycle, and advancing the state of the art through publications and patents. | AgentPost-train | 9 |
| Manager, Research Analysis, RBS Tech Manager for a Research Analysis team focused on foundational ML research and developing scalable ML solutions for customer experience and selling partner experience. The role involves architecting large-scale AI/ML systems, leading initiatives on LLM Agents, RAG, inference optimization, and evaluating model safety and fairness. The manager will also define AI strategy and mentor the team. | AgentServe | 9 |
| Senior Applied Scientist, Shopping Core Foundations - BuyForMe This role focuses on building and researching autonomous AI agents for online shopping, operating on the open web. It involves LLMs, reinforcement learning, multimodal reasoning, and large-scale systems, with a focus on production-grade reliability, scalability, and safety. The scientist will design evaluation systems, develop agent planning and adaptation techniques, build multimodal reasoning systems, and lead scientific direction for agent reliability and customer trust. | AgentEval Gate | 9 |
| Applied Scientist - Agentic AI, Amazon Fulfillment Technology This role focuses on developing and researching agentic AI systems for operational decision-making and orchestration within Amazon's fulfillment network. It involves building full agentic systems using multi-agent orchestration, tool use, memory, and action execution, training LLMs through various methods including RL, and conducting rigorous evaluations. The role also includes leading research projects, mentoring, and publishing academic papers. | AgentPost-train | 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 |
| Applied Scientist, Trustworthy Shopping Experience (TSE) Applied Scientist role focused on building agentic AI systems for Amazon's Trustworthy Shopping Experience (TSE) team. The role involves developing multi-step reasoning, autonomous task execution, and multimodal intelligence, with a focus on automating complex manual investigation processes. Responsibilities include designing and implementing agentic AI solutions, productionizing models using various fine-tuning approaches, building deep learning and ML solutions, and prototyping rapidly. The role emphasizes end-to-end AI development from research to production, with contributions serving millions of customers. | 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 |
| Senior Applied Scientist Senior Applied Scientist at Amazon focused on using Generative AI, VLMs, and multimodal reasoning to understand product identity and relationships within Amazon's catalog. The role involves formulating research problems, designing and implementing models for product relationship inference and catalog understanding, pioneering explainable AI, owning ML pipelines from research to production, defining research roadmaps, and mentoring peers. It emphasizes tackling ambiguous problems at scale, reasoning across text and images, and deploying solutions that impact millions of customers. | 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 |
| Principal Applied Scientist, Neuro-Symbolic AI Labs Research scientist role focused on building neuro-symbolic AI systems using proof assistants for complex problem-solving across various domains within Amazon. The role involves defining and implementing new applications, delivering scientific artifacts, and working in an agile environment. Requires a PhD or Master's with significant applied research experience, and experience leading scientists. | Agent | 9 |
| Postdoctoral Scientist, Amazon Robotics Research and AI Development Postdoctoral Scientist role focused on research in multi-agent path planning, dynamic optimal transport, and explainable AI for foundation models applied to a large fleet of mobile robots. The role involves developing novel techniques, publishing in top-tier venues, and potentially extending research into a second year. | AgentPost-train | 9 |
| Applied Scientist II, AFT AI, Amazon AFT AI Applied Scientist II role focused on developing and deploying agentic AI solutions and multi-modal deep learning models for Amazon's Fulfillment Network. The role involves working with large-scale, real-world datasets (imagery, natural language, structured data) to solve complex problems like warehouse operations and visual defect detection, pushing the state-of-the-art in optimizing fulfillment systems. | AgentPost-train | 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 |
| Sr. Applied Scientist, Ads AI Core Infrastructure Research and develop novel approaches for agent-data interaction using generative AI and agentic systems to provide instant, strategic advice to advertisers. Focus on agent orchestration, context optimization, code generation, and RAG-based embeddings for real-time data access with minimal latency and token consumption. Balances applied research (60%) with productionization (40%). | Agent | 9 |
| Sr. Applied Scientist, Amazon Robotics The role focuses on building AI reasoning systems that combine classical AI reasoning with Large Language Models (LLMs) for applications in robotics, automation, and fulfillment. The scientist will innovate on techniques for plan generation, verification, learning reasoning strategies, and self-improving models, with an emphasis on publishing research in leading AI venues. | AgentPost-train | 9 |
| Applied Scientist III, AFT AI, Amazon AFT AI Develop agentic AI and multi-modal deep learning models for Amazon's Fulfillment network, focusing on understanding warehouse operations and visual defect detection. This role involves working with large, diverse datasets and applying cutting-edge AI techniques to solve complex, real-world problems at scale, with a strong emphasis on production deployment and iterative improvement. | AgentPost-train | 9 |
| Applied Scientist Research scientist role focused on applying Generative AI, VLMs, and multimodal reasoning to product catalog understanding and agentic shopping experiences. The role involves formulating research problems, pushing boundaries of foundation models, advancing efficient model deployment, and ensuring reliability through interpretability and uncertainty calibration. It spans the full research lifecycle from problem formulation to production deployment, with a strong emphasis on publishing findings and mentoring. | AgentServe | 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 Applied Scientist, Sponsored Products and Brands This role focuses on designing and developing generative AI solutions, specifically large language models and multimodal AI, for real-time ad allocation and ranking in a high-volume consumer advertising system. It involves research into semantic relationships, dynamic optimization, and integration into existing systems, with a strong emphasis on efficiency and strict latency requirements. | AgentServe | 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 |
