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 |
|---|---|---|
| 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, Ads AI Core Infrastructure Research and develop novel approaches for agent-data interaction using generative AI and agentic systems, focusing on agent orchestration, context optimization, and code generation for real-time advertiser data at scale. This role involves applied research (60%) and productionization (40%), aiming to improve latency, token consumption, and accuracy. |
| AgentData |
| 9 |
| Sr. Applied Scientist, AWS Just-Walk-Out Science Team This role focuses on developing novel frameworks and techniques for multi-object tracking, re-identification, person activity understanding, and multi-modal foundation models within the context of Amazon's Just Walk Out technology. The scientist will advance the theory and practice of these areas, create efficient visual processing techniques, and reduce computational/data requirements for visual AI systems. The role requires a strong publication record in top-tier conferences and experience in computer vision, deep learning, and multi-modal foundation models. | AgentPost-train | 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 |
| Senior Applied Scientist, ASCS AI Lab Team Senior Applied Scientist role focused on AI research and development, including Generative AI, Agentic AI, LLMs, and Diffusion Models for Amazon's catalog systems. The role involves designing, training, and deploying AI solutions, with a focus on scaling models and integrating them into production. | AgentPost-train | 9 |
| 2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics Internship role focused on developing novel algorithms at the intersection of LLMs and generative AI for robotics, involving research in perception, manipulation, and control. Requires strong ML/DL/robotics background and publication record. | Agent | 9 |
| 2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics This internship focuses on developing novel algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics, tackling research problems in robotic perception, manipulation, and control. The role involves collaboration with cross-functional teams and requires a strong background in machine learning, deep learning, and/or robotics, with a publication record at top conferences. | Agent | 9 |
| 2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics This internship focuses on developing novel algorithms at the intersection of LLMs and generative AI for robotics, involving research in robotic perception, manipulation, and control, with an emphasis on multimodal models and vision-language-action systems. | AgentPost-train | 9 |
| Member of Technical Staff - Reinforcement Learning, AGI Autonomy Research role focused on developing foundational capabilities for AI agents that can act in digital and physical worlds, with a focus on multimodal LLMs, automation agent systems, and applying GenAI to real-world problems. Involves rapid invention, experimentation, and collaboration. | AgentPost-train | 9 |
| Sr. Principal Scientist, Secure Work Enablement Senior Principal Scientist role focused on pioneering AI technologies for secure enterprise collaboration, including novel AI architectures, human-AI interaction, AI agent orchestration, and privacy-preserving ML. The role involves translating business requirements into AI deliverables, inventing new product experiences, and bringing state-of-the-art LLM/GenAI models to production, while defining long-term science vision and collaborating with academic partners. | Agent | 9 |
| Member of Technical Staff, Applied Science - People Leader, AGI Autonomy Lead a research team focused on advancing foundational capabilities for useful AI agents by combining LLMs with RL. The role involves managing research, aligning roadmaps, mentoring, and hiring, with a focus on evolving agents for reasoning, planning, and world modeling. Experience with training large models, scaling foundational models, and applying post-training techniques is required. | 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 |
| Manager Research Science, Last Mile Science and Analytics Manager Research Science role focused on optimizing Amazon's delivery network using advanced ML models, AI systems, and AI agents. The role involves developing algorithms for forecasting, resource allocation, and decision-making, with a focus on building and deploying AI-driven solutions for logistics. | AgentData | 8 |
| Senior Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect for AI Engineering at AWS ASEAN, focused on embedding with customers to architect, build, and deploy production-grade AI and Agentic solutions. This role involves hands-on delivery, technical leadership, and enabling customer teams on GenAI/ML technologies, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | AgentServe | 8 |
| Applied Scientist, Personalization, Personalization Seeking an Applied Scientist to build Amazon's next-generation customer memory and personalization systems. This role involves designing and building ML and LLM-powered solutions for extracting, validating, and applying customer knowledge in production systems, focusing on areas like fact extraction, memory quality, temporal reasoning, and grounded personalization. The work operates at scale and requires balancing quality, latency, and coverage. | AgentData | 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 |
| SDE-II, AI Core Infra - AI Analytics and Insights Software Development Engineer II on the AI Core Infra team at Amazon Advertising, focused on building and scaling the backend systems for a conversational AI assistant (SpektrBot) that uses generative AI and RAG to help users query advertising data. The role involves designing services, engineering RAG pipelines, integrating LLMs, building evaluation loops, and developing SQL generation capabilities. | AgentServe | 8 |
| Senior Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect for AI Engineering at AWS ASEAN, focused on embedding with customers to architect, build, and deploy production-grade AI and Agentic solutions. This role involves hands-on delivery, technical leadership, and enabling customer teams on GenAI/ML technologies, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | AgentServe | 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 |
| Sr. Product Manager, SSC, Amazon Private Brands Product Manager role focused on AI-powered regulatory intelligence and AI agent lifecycle management within Amazon Private Brands. The role involves defining product strategy, roadmaps, and requirements for AI solutions that automate safety, sustainability, and compliance processes, aiming for autonomous operation and ensuring agents meet accuracy thresholds. | Agent | 8 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves technical leadership, architectural design, customer advisory, and content creation for AI/ML solutions on AWS, with a strong emphasis on production deployment and scaling. | AgentServe | 8 |
| Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries Principal Delivery Consultant for AWS Professional Services, focusing on large-scale 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 setting technical standards for agentic AI, providing executive technical advisory, driving cross-team alignment, and transforming delivery models using AI-native methodologies and multi-agent systems. | Agent | 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 |
| Sr. GenAI Specialist SA , Solutions Architecture Senior Specialist Solutions Architect focused on Generative AI at AWS. This role involves working with enterprise customers to design and implement production-ready GenAI solutions, including LLM-powered applications, agentic systems, and multi-modal AI. Responsibilities include technical advisory, hands-on implementation guidance, solution design, and customer engagement, with a focus on converting AI ambition into scalable, production-ready solutions. | AgentServe | 8 |
| Applied Scientist, Trustworthy Shopping Experience (TSE) Applied Scientist role focused on building agentic AI systems for Amazon's Trustworthy Shopping Experience. The role involves developing multi-step reasoning, autonomous task execution, and multimodal intelligence, with a focus on productionizing models and contributing to end-to-end AI development from research to deployment. Responsibilities include designing experiments, writing production code, evaluating models, and potentially publishing research. | AgentServe | 8 |
| Sr. GenAI Specialist SA, Solutions Architecture Senior Specialist Solutions Architect for Generative AI at AWS, focusing on helping enterprise customers build and scale production-ready GenAI solutions. This role involves technical advisory, hands-on implementation guidance, and solution design for LLM-powered applications, agentic systems, and multi-modal AI. Requires deep expertise in model selection, fine-tuning, RAG, agentic workflows, MLOps, and inference optimization, with a strong emphasis on shipping GenAI solutions in real-world settings. | 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 Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect focused on building and deploying AI and Agentic solutions for AWS customers in ASEAN. This role involves hands-on delivery, architecture design, and technical leadership to turn AI ambitions into production systems, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | 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, Traffic Quality Applied Scientist role focused on detecting sophisticated invalid traffic (IVT) in advertising using deep learning, self-supervised techniques, representation learning, and advanced clustering. The role involves working with massive datasets, developing novel algorithms, and deploying production-quality ML components. Emphasis on research, innovation, and contributing to the scientific community through publications. | Agent | 8 |
| Data Scientist, Traffic Quality The Data Scientist II in Traffic Quality at Amazon Ads will focus on applying advanced statistical techniques and machine learning to detect sophisticated invalid traffic (IVT) in advertising. This role involves defining new research problems, applying ML models to detect fraud, performing data analysis, working with massive datasets, and producing research reports. The team leverages deep learning, generative modeling, user behavior analysis, anomaly detection, and time-series analysis to protect advertiser spend and maintain marketplace integrity. The role also involves mentoring junior scientists and has a strong publication record. | AgentData | 8 |
| Applied Scientist, Regulatory, Intelligence, Safety and Compliance (RISC) Applied Scientist role focused on agentic AI, GenAI, and Machine Learning for regulatory compliance at Amazon. The role involves designing and evaluating state-of-the-art algorithms for content generation, multi-modal classification, intent detection, information retrieval, anomaly detection, and agentic systems. It requires developing and deploying ML models at scale, with an emphasis on scientific innovation and publication. | AgentPost-train | 8 |
| Machine Learning Engineer , Amazon Customer Service Machine Learning Engineer on the Data Intelligence team within Amazon Customer Service, responsible for designing and building scalable AI/ML systems, end-to-end AI pipelines, and production-grade AI services including generative AI, LLMs, and intelligent agent systems. The role involves building infrastructure for the complete AI model lifecycle, handling high-volume inference, implementing AI governance, and developing AI-powered products. | AgentServe | 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 |
| Data Scientist II, RufusX Science UK Data Scientist II role focused on developing and optimizing AI-driven conversational and multimodal shopping experiences using NLP, ML, and large language models. The role involves analyzing large datasets, building predictive models, designing experiments, and collaborating with scientists and engineers to launch features and systems. It touches on inference infrastructure and agentic systems for shopping tasks. | AgentServe | 8 |
| Data Scientist II, Alexa for Shopping Science UK Data Scientist II role focused on building and optimizing AI-driven conversational shopping experiences for Alexa. The role involves developing multimodal systems using NLP, ML, and LLMs, with a focus on agentic capabilities, information retrieval, recommender systems, and knowledge graphs. Responsibilities include data analysis, modeling, experimentation, A/B testing, metric development, and collaboration with scientists and engineers to launch features and systems. The role also touches on inference and serving infrastructure. | AgentServe | 8 |
| Applied Scientist II, Alexa Ads The Applied Scientist II role at Amazon's Alexa Ads team focuses on building Generative AI powered agentic advertising products and personalization models for the Alexa consumer assistant. This involves designing, developing, and evaluating ML models for NLP, recommendation systems, and personalization, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating with engineers to deploy models into production. The role is part of a greenfield team aiming to rethink ad ranking, pricing, and personalization for voice-first and screen-first surfaces, with opportunities for both production deployment and top-tier publications. | AgentServe | 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 |
| Principal UX Designer, Prime Video Experience Design (PVXD) This role is for a Principal UX Designer in an experimental lab focused on generative AI and conversational experiences for Prime Video. The designer will explore the frontier of AI in entertainment, creating experiences like AI characters and generative video, and will be hands-on with prototyping and emergent generative tools. The role requires a blend of moonshot thinking and practical craft, with a focus on designing human-like conversational AI and advocating for bold AI-driven product directions. | 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 |
