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 |
|---|---|---|
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and deploying GenAI and ML applications for customers on AWS. It involves providing technical guidance, gathering requirements, and supporting model training, building, and deployment strategies. The role requires experience with AWS AI/ML services and hosting/deploying ML solutions, with a preference for deep learning experience. | ServePost-train | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance This role leads a team focused on building and operating automated reasoning technology for security and privacy assurance across Amazon and AWS. The team's core technology is a static analysis platform integrated into critical security workflows, impacting the security posture of AWS services. The role involves technical leadership, hands-on contribution to research and design, team management, product integration, and advancing the state of the art in static program analysis. |
| Ship |
| 7 |
| Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction The Senior Applied Scientist will work on the Sponsored Products and Brands team at Amazon Ads, focusing on re-imagining advertising through generative AI. The role involves developing and deploying machine learning models and optimization strategies for personalized shopping experiences, including response prediction and session-level understanding. Responsibilities include data analysis, A/B experimentation, and research into new ML and GenAI solutions to optimize the advertising lifecycle. | Ship | 7 |
| Applied Scientist II, Amazon, Amazon Applied Scientist II at Amazon focused on improving shopping experiences using LLMs, requiring a PhD or Master's with 4+ years of experience, and a strong publication/patent record. The role involves building models for business applications and experience with algorithms, data structures, and distributed computing. | Ship | 7 |
| Senior Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focusing 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 acting as a trusted advisor on cloud AI architectures. | ServeAgent | 7 |
| Applied Scientist II, Search Query Understanding Applied Scientist II role focused on leveraging LLMs and AI techniques to improve Amazon's search engine and shopping experience. The role involves designing, implementing, and managing scalable ML models, with a focus on RAG and LLM inference optimizations. Requires a PhD or Master's with experience in ML/AI and programming. | Agent | 7 |
| Manager, Software Development, Center for Quantum Computing Manager for a software development team building applications and infrastructure for a quantum computing facility, including ML-driven inspection systems and LLM-powered research tools and agents. | Agent | 7 |
| Principal Product Manager - Technical, AWS Life Sciences Principal Product Manager for AWS Life Sciences Applied AI, focusing on developing AI-driven applications and generative AI agent-based experiences to revolutionize clinical trials. The role involves leading product development, defining product strategy, and driving innovation in clinical evidence generation and trial operations. | Agent | 7 |
| Applied Science Manager, Prime Video - Content Localization, Understanding & Enrichment Manager for a team of scientists and engineers building video understanding and search systems for Prime Video. The role involves defining technical direction, leading the team, partnering with other teams, and owning the end-to-end delivery of production systems that analyze video content at scale. The focus is on leveraging ML, NLP, and computer vision to understand content for customer experiences. | ShipData | 7 |
| Engineering Manager, Data Platform, PV Personalization and Discovery Engineering Manager for ML Infrastructure at Prime Video, focusing on personalization and discovery. The role involves leading teams to build and scale the ML infrastructure stack, streamline the model development lifecycle, and establish MLOps practices to support rapid experimentation and deployment of AI/ML models for hundreds of millions of viewers. | ServePost-train | 7 |
| Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog Principal Applied Scientist role at Amazon Music focused on leveraging foundation models to enhance music discovery, catalog understanding, and search systems. The role involves leading the design and implementation of applied science solutions, defining technical roadmaps, and driving technical excellence across multiple teams to improve customer experiences and content creator success. | Ship | 7 |
| AI/ML Specialist Solutions Architect, National Security Specialists Solutions Architecture Team This role focuses on designing and implementing generative AI solutions using AWS services for national security customers. The specialist will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI/ML technologies, developing reference architectures, and enabling broader adoption of AWS AI platforms. The role requires deep technical expertise in AI/ML and generative AI, with a focus on enterprise-grade solutions and cloud deployment. | ShipServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services Delivery Consultant for AWS Professional Services focused on designing, implementing, and managing AI/ML and GenAI solutions for enterprise customers. Responsibilities include end-to-end project lifecycle, MLOps, and advising customers on cloud architectures and AI/ML adoption. | AgentServe | 7 |
| Software Development Manager, Generative AI for AWS Neuron Software Development Manager for Generative AI for AWS Neuron, focusing on building agents, tools, and models to simplify customer adoption of Amazon's Machine Learning silicon (Trainium). The role involves leading a team, collaborating with internal and external stakeholders, and driving the technical vision and roadmap for AI-driven adoption acceleration. | Agent | 7 |
| ML Accelerator Performance Validation Engineer, Post Silicon Validation This role focuses on validating the performance of custom ML training chips for AWS, ensuring they meet latency, throughput, and efficiency targets at cloud scale. The engineer will design and execute performance benchmarks, profile ML workloads on silicon, identify bottlenecks, and build automated dashboards to track performance and readiness for production deployment. | Serve | 7 |
| Data Scientist, AWS Security This role focuses on developing and deploying machine learning models and real-time analysis systems for AWS security, with a specific emphasis on building LLM agent pipelines to detect and mitigate cyber threats. It involves data analysis, model creation, and pipeline development within the AWS ecosystem. | AgentData | 7 |
| Software Development Engineer, Amazon Q Software Development Engineer role focused on building a new Generative AI application for enterprise use, involving translating requirements into deliverables, prototyping, and deploying scalable services. The role emphasizes collaboration with product managers, engineers, and applied scientists. | Ship | 7 |
| Applied Scientist, AWS GameTech Cortex Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry on AWS, impacting game developers and player experiences. Responsibilities include end-to-end ML project leadership, data analysis, collaboration with studios, and mentoring junior scientists. | Ship | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focusing on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs. The role involves applying ML research to large-scale problems and delivering personalized customer experiences. | ShipPost-train | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focused on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs and advanced ML models. The role involves bringing research to production, optimizing for performance and scalability, and working with large volumes of data. | ShipPost-train | 7 |
| Senior Product Manager - Technical, Sponsored Products Seeking a Technical Product Leader to pioneer next-generation agentic AI applications for Amazon advertisers. This role involves designing agentic systems, tools, and datasets, and contributing to building systems that can reason, plan, and act autonomously across complex advertiser workflows at global scale. The individual will drive the technical design and roadmap, coordinate complex product initiatives, and define new capabilities through product and business requirements documents. Requires comfort with ambiguity, analytical mindset, and ability to influence across organizations. The role focuses on implementing creative solutions to real problems, working cross-functionally to deliver results and create value. | Agent | 7 |
| Applied Scientist, Amazon Business Ads Applied Scientist role at Amazon Business Ads focusing on building and deploying scientifically novel software solutions for B2B advertising products. Requires experience in model building for business applications and proficiency in Python/deep learning frameworks. | Ship | 7 |
| AI Creative & Content Manager, Amazon Key This role focuses on building and optimizing AI agents for marketing content generation within the Amazon Key consumer product. It involves designing, training, and evaluating these agents, managing prompt libraries and datasets, and ensuring brand consistency at scale. The role requires a blend of creative storytelling and hands-on AI building experience, with a focus on iterating and improving AI output. | AgentPost-train | 7 |
| Software Development Engineer, Post Silicon Validation Software Development Engineer focused on validating next-generation machine learning accelerators for AWS, covering the full vertical stack from silicon to system-level ML workloads. This role involves hardware bring-up, debug, performance, and reliability testing in a fast-paced, cloud infrastructure environment. | Serve | 7 |
| Applied Scientist II, Amazon Shopping Personalization Research Scientist role focused on developing and launching AI solutions for Amazon's personalization and recommendation systems, utilizing large datasets and computational resources. The role involves adopting or inventing new ML techniques, including LLMs and RL, and publishing research findings. | ShipPost-train | 7 |
| Senior Software Developer Engineer, AWS Compliance & Security Assurance Senior Software Engineer role focused on building agentic AI solutions to automate and scale AWS compliance and security audit workflows. The role involves designing, implementing, and owning internal services that leverage Generative AI to enhance security and compliance capabilities. | Agent | 7 |
| Applied Scientist , Rufus Experience Science This role focuses on building next-generation conversational shopping experiences by developing and deploying data-driven solutions and models. It involves executing a science vision, collaborating cross-functionally, and leveraging Amazon's data and computational resources. | Ship | 7 |
| Software Development Engineer Test, Alexa Global quality The Software Development Engineer Test role on the Alexa Global Quality team focuses on building AI-powered automation tooling for evaluating Alexa's multilingual, conversational, and multimodal experiences across various device surfaces. This involves creating scalable testing frameworks, developing agentic automation for synthetic test generation and LLM-as-a-Judge evaluations, and ensuring cultural and linguistic relevance. | AgentEval Gate | 7 |
| Software Development Engineer Test, Alexa Global quality Software Development Engineer in Test focused on quality assurance automation and framework creation for Alexa's global, multilingual, and multimodal experiences. The role involves building agentic automation tooling for end-to-end quality evaluation, including synthetic test generation, LLM-as-a-Judge, and visual/cultural validation using ML. | Eval GateAgent | 7 |
| Software Development Engineer, Developer Experience Software Development Engineer role focused on building foundational tooling for an internal AI platform at Amazon Ads. The role involves designing and developing scalable software systems for the full AI development lifecycle, including servers, skills, knowledge bases, and agents. It emphasizes enabling internal teams to build, deploy, and scale AI solutions from prototyping to production, with a focus on developer experience and platform infrastructure. | ServeAgent | 7 |
| Business Intelligence Engineer, AHS Finance This role focuses on leveraging generative AI, LLMs, and ML to build intelligent analytics solutions for a finance team, replacing traditional reporting with AI-driven automation and insights. The engineer will build AI-powered tools, GenAI products, and AI agents for stakeholder self-service, aiming to transform data interaction and reporting workflows. | Agent | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Software Engineer II, SCOT - Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and generative AI/ML for supply chain optimization, building intelligent infrastructure and enterprise-grade applications on AWS. | Agent | 7 |
| Software Engineer II, SCOT - Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform supply chain operations and build intelligent infrastructure. The role involves designing and deploying AI systems, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Software Engineer II, SCOT-Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform Amazon's supply chain operations. The role involves designing and deploying AI systems/agents, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Data Scientist II, Middle Mile Transportation Science team Data Scientist II on the NASC & TOM Science team at Amazon, focusing on Operations Research, Machine Learning, and AI for middle mile transportation planning. The role involves designing, building, and shipping ML and optimization models end-to-end, from problem framing to deployment and integration with planning tools. Key responsibilities include developing forecasting and optimization solutions, building validation and monitoring pipelines, and partnering with engineering teams for productionization. | ShipData | 7 |
| Software Development Engineer, Item Identity Services (IIS) Software Development Engineer to help architect, build, and ship an AI-native matching platform that replaces legacy rule-based and classical ML matching algorithms with LLM-powered AI systems. The role involves serving LLM-based inference over petabyte-scale product data with sub-millisecond latency requirements, handling millions of requests per second, and solving novel computer science problems at the intersection of LLMs, retrieval, distributed systems, and large-scale data processing. | ServeAgent | 7 |
| Software Development Engineer II, Q Business Software Development Engineer II on the Amazon Quick team, focusing on designing, developing, and optimizing core components of an AI-powered assistant for enterprise productivity. The role involves building an agentic AI system that leverages generative AI to answer questions, summarize content, generate text, and complete tasks using enterprise data. | Agent | 7 |
| Software Development Engineer, Amazon Advertising, Ads Sales Assistant Software Development Engineer role focused on building generative AI applications and agents for Amazon Advertising's sales teams. The role involves developing customer-facing UX, workflows, and web services, turning large datasets into actionable products. Requires experience with scalable production gen AI applications and addressing challenges like accuracy and hallucinations. | Agent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences customers, with a significant emphasis on AI/ML and Generative AI solutions. The Solutions Architect will build prototypes, proofs of concept, and demonstration assets, educate customers on AWS capabilities, and translate emerging AI/ML technologies into actionable guidance and reference architectures. The role requires a strong understanding of cloud computing, data & AI technologies, and the ability to articulate technical value to various stakeholders. | Agent | 7 |
| Manager, Security Engineering, AWS Security Incident Response Manager for AWS Security Incident Response team, leading a transformation towards AI-native operations. The role involves managing security engineers, engaging with customer executives, and driving automation by leveraging AI investigation agents and feedback loops. The team aims to autonomously resolve routine investigations, allowing human analysts to focus on complex threats. | AgentData | 7 |
| Applied Scientist, AWS Neuron Science team Applied Scientist role focused on enhancing the AWS Neuron software stack for Trainium and Inferentia accelerators. The role involves working with customers to identify adoption barriers, collaborating with engineering teams on solutions, and engaging with research communities to advance ML systems. Key areas include AI for Systems (kernel/code generation, optimization), Machine Learning Compiler, System Robustness, and Efficient Kernel Development. | ServeData | 7 |
| SDE II, ML Infra Services, Annapurna Labs Software Engineer to lead the development of machine learning tools for AWS Neuron accelerators, focusing on running, optimizing, and analyzing ML workloads. Requires experience in profiling, optimization, resource management, scheduling, code generation, and working with new instruction set architectures for AI accelerators. | Serve | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Senior Software Engineer role focused on building and optimizing the AWS Neuron compiler for AWS Inferentia and Trainium chips. The role involves transforming ML models (PyTorch, TensorFlow, JAX) into optimized implementations for deep learning workloads, with a focus on large language models and vision transformers. Responsibilities include compiler optimization, working with chip architects, and contributing to open-source communities. | Serve | 7 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation at Amazon's scale. The role involves research and implementation of deep learning and LLMs for robotic dexterous manipulation, locomotion, and human-robot interaction, bridging theoretical advancements with practical applications. | ShipAgent | 7 |
| Automation & AI Integration PM, Prime Video This role focuses on defining and driving large-scale AI-driven initiatives within Prime Video's Content Acquisition & Prime Video Direct teams, with a strong focus on workflow automation, SOP generation, content quality, and acquisition. The candidate will develop and execute strategies leveraging AI technologies, agents, workflow automation tools, and prompt engineering techniques to build tools that accelerate and automate internal and external processes. | Agent | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |
| Applied Scientist II - P13N, Shopping Intent Applied Scientist II at Amazon's Personalization team, focusing on building the next-generation product recommendation engine for Amazon using LLM, Machine Learning, NLP, and Computer Vision. The role involves using big data and analytical techniques to create scalable solutions, designing and evaluating innovative models, and working closely with software engineers to drive model implementations and new feature creations. The scientist will also research and implement novel ML/statistical approaches and mentor junior scientists. | Ship | 7 |
| Sr. Software Development Engineer, Workshop Studio Senior Software Development Engineer to build AI-powered capabilities on Amazon Bedrock AgentCore, focusing on agentic systems for content discovery, participant guidance, and automated quality review within the Workshop Studio platform. | Agent | 7 |
