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 |
|---|---|---|
| Sr. AI Risk Manager , Res-Q This role focuses on building and deploying AI-powered risk assessment and classification pipelines to automatically categorize escalations, identify abuse patterns, and quantify systemic defects within Amazon's marketplace. It involves using AI/ML infrastructure to develop topic models, root cause classifiers, and risk scoring frameworks, and integrating these into operational workflows to improve risk intelligence and prevent abuse. The role also involves studying investigation processes to identify areas for AI-driven automation or augmentation. | AgentData | 7 |
| GenAI Solutions Architect, Partner Solutions Architect This role focuses on enabling AWS partners to build, scale, and sell Generative AI solutions, specifically Foundation Models and Agentic solutions. The Solutions Architect will develop joint solutions, create go-to-market strategies, and drive technical enablement. Key responsibilities include architecting integrated solutions, building proof-of-concepts, influencing partner roadmaps, and creating technical content. The role requires deep technical expertise in GenAI, strong partner relationship management, and the ability to act as a technical liaison. |
| Agent |
| 7 |
| Applied Scientist, AWS Insights & Optimization Applied Scientist at AWS Insights & Optimization developing and deploying end-to-end ML models for cost anomaly detection, forecasting, optimization, and AI-powered conversational experiences. Focus on analyzing large-scale customer cost/usage data to build intelligent cloud financial management solutions. | AgentPost-train | 7 |
| Data Scientist, Alexa Smart Home Data Scientist II on the Alexa Smart Home team to develop machine learning models, analytical frameworks, and Gen-AI powered solutions that improve product quality, inform strategic decisions, and enable proactive detection of customer experience issues. This role involves working with large-scale behavioral and interaction datasets, designing experimentation frameworks, and partnering with engineering, product, and science teams to deliver data-driven solutions. | Agent | 7 |
| Sr. Specialist Solution Architect - AI, AWS Mexico Commercial Senior Specialist Solutions Architect for AI at AWS Mexico, focusing on architecting enterprise-grade AI/ML and generative AI solutions for C-suite executives. Requires deep technical experience in ML, GenAI, and agentic capabilities, including LLM customization, fine-tuning, inference optimization, agentic frameworks, RAG, and prompt engineering, with a focus on delivering measurable business outcomes and adhering to governance and compliance standards. | Agent | 7 |
| Software Development Manager, Advertising Support Products and Services Software Development Manager leading a team to build AI-powered customer support products for Amazon Advertising, focusing on AI agents and automation for advertiser case resolution and campaign management. | Agent | 7 |
| AI Engineer, Amazon Business AI Engineer role focused on deploying and productizing agentic AI models for automation at scale within Amazon Business EU. Responsibilities include developing AI agents, owning end-to-end deployment, establishing scalable ML processes, and contributing to customer-facing features. | Agent | 7 |
| Data Scientist, WW Ops FP&A Data Scientist II role focused on building LLM-powered financial forecasting and knowledge retrieval systems, including RAG, for Amazon's WW Ops FP&A team. Requires translating business ambiguity into production-grade AI solutions and influencing roadmaps. | Agent | 7 |
| Sr. System Development Engineer, World Wide Design Engineering Senior Systems Development Engineer role focused on developing AI/ML systems, autonomous robotics, and agentic workflow automation for facility design and deployment within Amazon's global fulfillment network. The role involves identifying and implementing technical solutions, developing internal tooling, contributing to product roadmaps, and mentoring engineers, with a strong emphasis on AI and innovation. | Agent | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on building causal ML systems for Amazon's pricing decisions. The role emphasizes shipping production-quality pipelines with real business impact, bridging econometric analysis and ML pipelines. Responsibilities include designing, training, and deploying causal estimation models, owning causal ML methodology, supporting pricing experiment analysis, and connecting model outputs to business outcomes. | Agent | 7 |
| Data Scientist, AWS Security Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Strategic Agentic Modernisation Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, modernizing a complex legacy platform using generative & agentic AI tooling and cloud-native architecture. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to deliver value and build customer self-sufficiency. | Agent | 7 |
| Strategic Infrastructure Modernisation Consultant, AWS Professional Services This role leads the design and deployment of a modern digital foundations architecture and enterprise AI platform for a large mining company. It involves scaling an AI platform to support 500+ concurrent agents, implementing an edge-to-cloud architecture across remote sites, and leading a team of engineers. The focus is on hardening the AI platform, enabling citizen development, and translating technical decisions into business outcomes. | AgentServe | 7 |
| Applied Scientist II, On Road Experience Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile Driver Experience team at Amazon. The role involves working with data streams like video and telematics, and applying ML in areas such as mapping, pattern detection, and computer vision to improve delivery operations. The scientist will drive designs from ideation to production, focusing on building v1 products and delivering results in an ambiguous environment. | Agent | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | Agent | 7 |
| Solutions Architect II, National Security Solutions Architecture Team Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments. | Agent | 7 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers. | Agent | 7 |
| Data Scientist , Sidewalk Data Scientist role focused on building and deploying ML models for Amazon Sidewalk's IoT network. Responsibilities include developing coverage forecast models, analyzing network telemetry, creating geospatial models, designing anomaly detection systems, and researching Generative AI/LLM solutions for troubleshooting. The role involves productionizing models and working with data engineers and product managers. | AgentData | 7 |
| Data Scientist II, Intelligent Talent Acquisition This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent. | AgentServe | 7 |
| Principal, Solutions Architect - Media, Entertainment, Games & Sports , Solutions Architecture - AWSI-MEGS Direct Accounts This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles. | Agent | 7 |
| Senior Applied Scientist, Full-funnel Agentic Intelligence and Models Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods. | Agent | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms. | AgentServe | 7 |
| Senior Applied Scientist, JP Science and Data - AVS ProServe Senior Applied Scientist role focused on developing and applying machine learning algorithms to solve business problems for vendors, enabling them to understand customers and identify growth opportunities. The role involves building orchestrated ML solutions, translating model outputs into actionable insights, measuring business impact, and leading cross-functional collaboration. | Agent | 7 |
| Senior Data Scientist, JP Seller Services Senior Data Scientist for Amazon JP Seller Services, focusing on developing and scaling AI-native solutions, including recommendation models using generative AI and ML, to drive seller growth and optimize engagement strategies on Amazon Marketplace. | Agent | 7 |
| Applied Scientist III - AMZ9898584 Applied Scientist III role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel approaches. The role also includes mentoring junior staff. | Agent | 7 |
| Solutions Developer, Prototyping and Customer Engineering (PACE) Solutions Developer role focused on building prototypes and customer-facing solutions using AWS services, with a strong emphasis on Machine Learning, Agentic Design, and Generative AI. The role involves rapid development, experimentation with new technologies, and translating business problems into technical solutions. | Agent | 7 |
| 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 the Amazon Shopping experience. The role involves architecting, designing, and developing back-end systems and online services, including service orchestration, agent frameworks, and real-time processing. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team aims to improve search using large-scale foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Machine Learning Engineer, Amazon Customer Service Machine Learning Engineer at Amazon Customer Service focused on building and scaling Generative AI solutions to improve customer experiences and empower associates. The role involves end-to-end feature development, integrating LLMs into production systems, and contributing to architectural decisions. | Agent | 7 |
| Sr. Software Dev Engineer, Healthcare AI Senior Software Development Engineer role in AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves designing and implementing distributed systems and AI-powered healthcare solutions, leveraging generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Manager, AI Platform Engineering , Agent Platform Organization Manager of AI Platform Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for analytics, science, and AI initiatives. The role involves owning delivery and operational health, mentoring a team, and evolving self-service offerings towards agent-driven approaches. The team will build multi-agent solutions to automate data engineering and BI tasks, and develop/deploy agents for analytics use cases like monitoring and anomaly detection. Collaboration with business intelligence, applied science, and product teams is key. | AgentData | 7 |
| Software Development Engineer, Prime Video Personalization & Discovery, Prime Video Personalization & Discovery Software Development Engineer role focused on developing AI solutions for Prime Video's personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves building and guiding ML models end-to-end, leading cross-team collaboration, and conducting experiments to evaluate solutions. It also includes mentoring junior engineers and staying updated with the latest modeling techniques. | AgentPost-train | 7 |
| AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail This role is an AI/ML Solutions Architect focused on helping AWS customers design and adopt Generative AI and Machine Learning solutions on AWS. The role involves deep technical expertise in AWS AI/ML services, customer engagement, and acting as a liaison between customers and AWS service teams. The primary focus is on enabling customers to build and deploy AI/ML solutions, particularly GenAI, on the AWS platform. | Agent | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications for hardware engineering teams, with a significant emphasis on integrating AI/ML technologies to enable intelligent automation, design review, and design generation within traditional CAD workflows. The engineer will collaborate with AI/ML teams to integrate LLMs and machine learning capabilities, develop custom workflows, and support engineering tools. | Agent | 7 |
| Sr. TPM - SF Agentic AI, Amazon Business GTM Sales Technology Technical Program Manager for Salesforce Agentic AI at Amazon Business, focusing on delivering GenAI and agentic automation programs to transform sales and account management operations. This role involves driving cross-functional alignment, translating business requirements into technical plans, evaluating integration architectures, and leading post-launch operations for AI-powered features. | Agent | 7 |
| Software Dev Engineer III, Conversational Ad Experiences Software Development Engineer III role focused on building conversational ad experiences using generative AI and LLMs for Amazon Ads. The role involves designing and developing new features, integrating AI solutions, pioneering conversational AI approaches, and creating scalable, low-latency systems. It requires strong software engineering skills and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Applied Scientist, WWOS Tech This role focuses on building and deploying ML models to detect theft, fraud, and organized crime within Amazon's global supply chain and operations. The scientist will own KPIs, automate detection, analyze operational defects, contribute to strategy, and integrate ML models into applications. The role requires a PhD or Master's with significant applied research experience in ML, particularly in fraud detection and organized crime. | Agent | 7 |
| Software Development Engineer II Software Development Engineer II at Amazon focused on building advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The role involves developing a software framework for robot deployment, generalization, integration with large models and control techniques, and human-safe solutions. Key responsibilities include designing manipulation components, cloud/edge inferencing, real-time communication, and human-machine interfaces. | AgentServe | 7 |
| Applied Scientist, Ads Econ Applied Scientist role at Amazon Advertising focusing on building full life-cycle machine learning solutions, including scaling ad performance insights through agentic systems/LLMs. The role involves hands-on analysis, modeling with large datasets, productionizing ML models with engineers, running A/B experiments, and researching innovative ML approaches to drive monetization and sales for Amazon's advertising products. | Agent | 7 |
| Software Development Manager, Elastic Block Store (EBS), Capacity Optimization Software Development Manager for Amazon Web Services (AWS) Elastic Block Store (EBS) Capacity Engineering team. The role involves leading a team to invent and build a new capacity forecasting and planning platform using AI/ML, including machine learning models, algorithms, and agents, to automate capacity planning and purchasing for AWS data centers globally. The focus is on optimizing fleet servers, predicting demand, and balancing service, infrastructure, financial, and business constraints to support the rapid growth of AWS, especially driven by AI workloads. | Agent | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves designing end-to-end data lifecycles and building multi-agent solutions to automate data engineering tasks. It also includes contributing to the shared data platform and AI/ML models. | AgentData | 7 |
| Senior Delivery Consultant - Modernization, Professional Services Israel Senior Delivery Consultant for AWS Professional Services in Israel, focusing on designing and implementing end-to-end AI solutions for enterprise customers. This role involves architectural design, customer consulting, technical leadership, and developing generative AI applications like RAG systems and intelligent agents, with an emphasis on MLOps and responsible AI practices. | AgentServe | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service. Focus on technical leadership, architecture, and balancing execution with long-term needs. | Agent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead architecture and design of AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service for enterprise data integration with FMs and agents. Focus on scaling services, innovating on Gen AI, and ensuring extensible, performant, and secure solutions. | Agent | 7 |
| Applied Science Manager, Prime Air Applied Science Manager leading a team focused on optimizing drone fleet mission planning and orchestration using ML/RL and geospatial data to maximize deliveries per hour. The role involves path planning, scheduling, system architecture, and cross-functional collaboration, with a focus on turning research into deployed features. | AgentData | 7 |
| Software Development Engineer III - Amazon Robotics, Autonomous Mobility, AMS Software Development Engineer III role focused on leading the technical direction for autonomous navigation stack components, including task planning, motion planning, and control for production robotics systems. The role involves architecting and implementing ML/AI-based systems, impacting thousands of robots, and working with state-of-the-art technologies in a scaling environment. | AgentData | 7 |
| Applied Scientist, Agentic Automated Reasoning Group Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves understanding customer needs, identifying tools and methods for verification, and exploring generative AI techniques for requirements formalization, test generation, and proof repair. | Agent | 7 |
