Currently tracking 1109 active AI roles, down 11% 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 1575 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). 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 (1022 roles), Canada (59 roles), United Kingdom (49 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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer, GenAI Software Development Engineer role focused on productizing Generative AI experiences for advertisers at Amazon Advertising. The role involves building customer-facing features, designing and deploying scalable distributed services, and working with various AI technologies like diffusion models, LLMs, computer vision, and reinforcement learning. It requires strong full-stack coding expertise and an understanding of AI agent concepts. | Agent | 7 |
| Worldwide Partner Solutions Architect, Data and AI GTM Partner Solutions Architect focused on Data and AI Go-To-Market (GTM) for Amazon QuickSuite, with a primary emphasis on designing and implementing enterprise BI solutions, AI-powered analytics platforms, and agentic AI systems for workplace automation. The role involves collaborating with partners and customers to adopt AWS services, devising engagement strategies, and providing architectural guidance for AI-driven business intelligence and autonomous workplace agents. |
| Agent |
| 7 |
| Software Development Engineer, DC Assistant Development Software Development Engineer role on the Data Center Gen AI team at AWS, focused on building generative AI solutions for data center operations. The role involves developing intelligent systems that optimize technician workflows, automate decision-making, and enhance operational efficiency using LLM integration, RAG, agent frameworks, and full-stack serverless technologies. The position aims to transform data center operations through AI/ML innovations and build platform primitives for other teams. | Agent | 7 |
| Data Scientist, Amazon Devices, Devices Sales & Marketing This role focuses on building and deploying machine learning models for Amazon Devices Sales and Marketing, specifically for product recommendations, customer segmentation, and marketing initiative effectiveness. The candidate will own solutions end-to-end, from conceptualization to productionalization, and will collaborate with various teams to deliver customer-facing reporting tools and automated recommendation systems. | ShipAgent | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions using AWS services, with a specific emphasis on generative AI architectures like RAG, fine-tuning, and AI agents. The role involves collaborating with stakeholders, mentoring junior architects, and developing reusable assets. | AgentData | 7 |
| 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 |
| Sr. Startup Solution Architect, GenAI , AWS Startups Frontier AI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on providing architectural guidance, supporting the adoption of AWS services, and acting as a technical advisor to help startups build scalable, reliable, and secure solutions. | ServePost-train | 7 |
| Sr. Startup Solution Architect, GenAI , San Francisco GenAI Startups This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on architecting scalable, reliable, and secure solutions, supporting the adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Sr. Applied Scientist, WWGS Real Estate & Store Development This role focuses on applying machine learning and GenAI to develop forecasting and optimization models for Amazon's physical retail presence, supporting real estate and network planning decisions. The scientist will design, implement, and own end-to-end ML solutions, including MLOps, and enhance user interaction with GenAI. The role involves analyzing large datasets, presenting findings to leadership, and collaborating with cross-functional teams. | Ship | 7 |
| Applied Scientist II, Amazon Fulfillment Technology (AFT) Science Applied Scientist II role focused on developing and deploying optimization, ML, and GenAI/LLM solutions for Amazon's Fulfillment Network. The role involves designing and building scalable mathematical models and production systems to improve operational efficiency, with a strong emphasis on translating research into production-grade code. | Ship | 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 Manager, Tax Engine Manage and mentor a team of scientists and engineers focused on applying AI/ML, including language models, for tax classification and calculation within Amazon's global Tax Engine platform. The role involves improving team processes, balancing experimentation with delivery, and partnering with stakeholders to build roadmaps for new products and services, with a focus on predictive and generative AI applications. | Post-trainAgent | 7 |
| Software Development Engineer, Alexa Connected Devices Software Development Engineer role focused on building and optimizing low-latency, scalable connectivity services for Alexa devices. The role involves integrating AI-driven capabilities and AI-powered features into these services, as well as leveraging AI-augmented development tools to accelerate the software development lifecycle. The team operates at a massive scale, handling billions of transactions daily, and is increasingly adopting an AI-first approach. | ServeAgent | 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 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on enhancing Alexa's audio experiences by integrating Large Language Models (LLMs), improving model accuracy, reducing latency, and building scalable API platforms. The role involves designing, implementing, and delivering software features, creating infrastructure for LLM integration, and influencing the operational excellence roadmap for audio services. | ServePost-train | 7 |
| Software Development Engineer, Alexa Audio, Alexa Domains - Alexa Audio (Music) Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services. | ServePost-train | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reduce latency, and influence the operational roadmap for core audio services. The position also requires mentoring junior engineers and contributing to hiring efforts. | ServePost-train | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reduce latency, and influence the operational roadmap for core audio services. The position also requires mentoring junior engineers and contributing to hiring efforts. | ServePost-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 |
| Senior Software Development Engineer, AGI Data Services Senior Software Development Engineer focused on acquiring, creating, and curating high-quality software engineering datasets for training Generative AI models, including Reinforcement Learning. The role involves designing and building automated systems for data mining and quality assessment, as well as developing GenAI-powered workflow tools to streamline data collection and assurance processes. | DataAgent | 7 |
| Sr. Applied Scientist, Special Projects This role focuses on building and evaluating state-of-the-art ML models for biology and life sciences applications, requiring experience with deep learning methods and programming in languages like Python. The role is part of a special projects team aiming to innovate at scale and bring products to market. | Post-train | 7 |
| Software Development Engineer, Finance Technology, ATARI Software Development Engineer role in Amazon's Finance Technology group, focusing on building big data and ML systems for fraud detection using Generative AI and LLMs. The role involves developing ML pipelines to process large transaction volumes and collaborating with scientists and finance teams. | 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 |
| Applied Scientist II, CIA Orchestration Team Applied Scientist II role focused on developing and deploying machine learning models and data-driven solutions for operational efficiency in Amazon's Fulfillment Centers and Transportation Sites. The role involves working with diverse datasets and ML frameworks to create predictive models, optimization algorithms, and intelligent automation, with a focus on scalability and production readiness. The team specifically handles network device management through a user-friendly, auditable mechanism for provisioning, configuration, and policy management. | 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 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building solutions for Sponsored Products and Brands, utilizing generative AI, machine learning, and high-scale low-latency systems to improve customer experiences off the Amazon store. The role involves designing and developing components, big data systems, and ML-based approaches in collaboration with scientists and economists. | Ship | 7 |
| Data Scientist II, Long Term Planning and Forecasting This role focuses on developing causal inference models, automated explainability frameworks, and GenAI-powered narrative generation to translate forecasting outputs into actionable business intelligence for Amazon's business customers. The data scientist will build automated variance decomposition models and a causal model library with standardized pipelines, applying techniques from causal inference and time-series econometrics. | Post-trainData | 7 |
| Data Scientist II, Long Term Planning and Forecasting This Data Scientist II role focuses on building scientific tooling for how business customers interact with Long-Term Planning and Forecasting (LTPF) forecasts and plans. The role involves developing causal inference models, automated explainability frameworks, and variance bridging methodologies. It also includes building GenAI-powered narrative generation capabilities and automated hypothesis ranking to synthesize quantitative variance outputs into human-readable performance summaries and identify drivers of forecast error. The position emphasizes leading cross-functional programs, defining multi-year strategy, and leveraging insights for strategic decision-making. | Post-trainData | 7 |
| Applied Scientist - Perception (SLAM/VIO), Fauna Applied Scientist role focused on developing and optimizing Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots, involving algorithm development, embedded deployment, and leveraging ML for perception. The role requires hands-on experience with sensors, hardware, and real-world data, with a focus on real-time performance on resource-constrained robotic platforms. | ShipServe | 7 |
| Software Development Manager, GenAI Evaluation Media (GEM) Software Development Manager for GenAI Evaluation Media (GEM) team at Amazon, focusing on visual shopping experiences. The role involves leading a team to drive technical vision and execution of AI capabilities for generating and governing billions of visual assets at scale, ensuring quality and trustworthiness for customer purchase decisions. Requires strong technical expertise, business acumen, and leadership skills to partner with stakeholders, drive innovation, and maintain operational excellence. | ShipEval Gate | 7 |
| Software Development Engineer, AI Upgrades & Transformation Software Development Engineer role focused on building and managing Agentic AI capabilities for AWS analytics services, specifically an Apache Spark Upgrade Agent that uses conversational interfaces and automated code transformation to reduce upgrade timelines. The role also involves managing a Model Context Protocol server for AI assistants and Agents, providing secure access to troubleshooting and code recommendation tools. | Agent | 7 |
| Software Development Engineer, Data Analytics Integration AI and Platform Excellence Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows within Amazon's AWS Utility Computing organization. The role involves designing, developing, and optimizing AI/ML systems, collaborating with data scientists, and contributing to the full software development lifecycle. | Serve | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. This involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | AgentServe | 7 |
| Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development from weeks to hours using GenAI. | 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 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services This role is for a Senior Delivery Consultant focused on AI/ML solutions within AWS Professional Services. The consultant will design, implement, and manage AWS-based AI/ML applications and models for customers, providing technical guidance and support throughout the project lifecycle. Key responsibilities include gathering requirements, proposing model training and deployment strategies, and acting as a trusted advisor on AI/ML trends. The role requires experience with AWS AI/ML services and deploying LLMs in production. | ServePost-train | 7 |
| Software Development Engineer , Media Planning and Measurement Software Development Engineer role focused on building AI-powered planning infrastructure for Amazon Ads. The role involves designing and delivering agentic skills, multi-step orchestration workflows, scalable APIs, and ML-informed optimization services. The tech stack includes TypeScript, Python, and AWS services. | AgentServe | 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 |
| Delivery Consultant - AI/ML, AWS Professional Services This role focuses on implementing end-to-end AI/ML and GenAI solutions for enterprise customers using AWS services. The consultant will design, deploy, and manage these solutions, focusing on MLOps and customer success throughout the project lifecycle. | ShipServe | 7 |
| Senior Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focused on designing, implementing, and managing AI/ML and Generative AI solutions for enterprise customers. This role involves leading project teams, hands-on development, MLOps, and advising customers on cloud AI/ML architectures using AWS services. | ShipServe | 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 |
| Sr. Business Intelligence Engineer, Amazon Publisher Monetization, Analytics This role focuses on building AI-powered analytics experiences, specifically conversational agents and prompt-driven interfaces using LLMs and generative AI, to provide proactive insights for Amazon's advertising supported publishers. The engineer will own the end-to-end insight lifecycle, from data modeling to executive recommendations, and mentor other engineers. | Agent | 7 |
| Senior Applied Scientist, Buyer Risk Prevention (BRP) Senior Applied Scientist role focused on building and deploying large-scale machine learning systems for fraud and risk prevention in an e-commerce environment. The role involves leading scientific strategy, defining roadmaps, designing and deploying ML solutions, and leveraging GenAI/LLM technologies. It requires experience in real-time production environments, ML modeling, and translating scientific trends into production solutions. | Ship | 7 |
| Software Development Engineer, Alexa Audio, Alexa Domains - Alexa Audio (Music) Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services. | ServePost-train | 7 |
| Software Dev Engineer III, Amazon Private Brands, APB Tech Software Development Engineer III on the Amazon Private Brands (APB) team, responsible for building and evolving the core platform capabilities for a shared data, workflow, and AI agent platform. This includes dynamic data management, task orchestration, and AI agent infrastructure built on Amazon Bedrock. The role involves full-stack development, influencing technical direction, and partnering with consuming teams to ensure platform scalability. The engineer will own and operate backend services, lead technical roadmap, drive architecture decisions, mentor junior engineers, and translate business requirements into technical solutions. | Agent | 7 |
| Software Development Manager, Amazon Leo AI Foundations Software Development Manager for Amazon Leo AI Foundations, responsible for designing, implementing, and operating globally distributed systems for a low Earth orbit satellite network. The role focuses on building near real-time analytics, a data lakehouse, and supporting agentic AI capabilities, including architecting a vector database with sub-100ms retrieval times and hybrid search strategies. The team builds the intelligent cloud backbone for AI-driven decision making across the Leo constellation, optimizing network performance and user experience. | AgentServe | 7 |
| Sr. Startup Solution Architect, GenAI , San Francisco GenAI Startups This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on architecting scalable, reliable, and secure solutions, supporting the adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Software Development Engineer, Sponsored Products and Brands Off-Search Software Development Engineer on the Sponsored Products and Brands Off-Search team, focused on building hyper-scale systems and data pipelines leveraging Generative AI and LLMs to improve advertising and shopping experiences. The role involves designing and delivering scalable solutions for ad retrieval, allocation, and recommendations, transforming these into personalized and contextually aware parts of the customer journey. | Ship | 7 |
| Manager, Data Science, Outbound Communications Manager for a Data Science team focused on optimizing outbound communications for millions of customers using AI/ML, including LLMs and RL. The role involves leading the development of personalized messaging strategies, designing experiments, building propensity models, driving AI transformation in data accuracy and reporting, and owning financial planning frameworks. It also includes hiring, mentoring, and cross-functional partnership. | ShipPost-train | 7 |
