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 |
|---|---|---|
| Applied Scientist, Stores Economics & Science (SEAS) Applied Scientist role focused on economics and science within Amazon's Stores organization, applying expertise in machine learning, NLP, IR, statistics, and economics to solve business problems related to cost-to-serve, selection optimization, and emerging machine learning. The role involves leading initiatives from research to production, developing and maintaining scientific models, and designing algorithms and mechanisms for supply chain and marketplace challenges. | Ship | 7 |
| Senior Applied Scientist, Japan Prime & Marketing Senior Applied Scientist role focused on building and deploying machine learning models for personalization, customer growth, and optimization within Amazon's Japan Prime & Marketing division. The role involves end-to-end ownership from problem formulation to production deployment, with a focus on impacting millions of customers and influencing business strategy. Requires experience in ML model development, A/B testing, causal inference, and collaboration with engineering teams for low-latency systems. |
| ShipAgent |
| 7 |
| Applied Scientist II, Conversational Ad Experiences The role focuses on applying generative AI and LLMs to create conversational ad experiences for Amazon. Responsibilities include defining science roadmaps, building and deploying models, running experiments, and collaborating with engineers and product managers. The goal is to enhance customer experience and advertiser reach through innovative AI solutions in the advertising domain. | ShipPost-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for content localization, understanding, and enrichment. The role involves applying state-of-the-art NLP and computer vision research, particularly with vision-language models and multimodal LLMs, to understand video content, including long-context understanding and causal reasoning across temporal sequences. The goal is to power next-generation video understanding and search capabilities for Prime Video. | Agent | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance The Senior Manager, Applied Science, AWS Compliance & Security Assurance role focuses on leading a team that builds and operates automated reasoning technology for security and privacy assurance across Amazon and AWS. The role involves owning the technical vision and roadmap for static analysis capabilities, driving innovation in program analysis, and managing a team of applied scientists. Key responsibilities include technical leadership, hands-on contribution to research and design, team building, product integration with security and service teams, advancing the state of the art in static program analysis, and stakeholder engagement. | Ship | 7 |
| Solutions Architect - NPO, Membership Account Team Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs. | Agent | 7 |
| Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Senior Applied Scientist on the Linear Personalization Experience (LPEX) team at Amazon Prime Video. This role focuses on defining and driving the science strategy and roadmap for Linear TV personalization, designing, developing, and deploying ML models for content recommendation, viewer engagement optimization, and real-time personalization. The role involves owning the complete ML lifecycle, building and optimizing recommendation systems with strict real-time latency requirements, and partnering with software engineering teams for production deployment. The team is building next-generation, AI-powered personalization and recommendation systems. | AgentServe | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure, covering the entire vertical stack from silicon to system. The engineer will be responsible for developing validation strategies, executing test plans, conducting hands-on bring-up and debug, and validating ML accelerator performance using real-world workloads. The role requires collaboration with various engineering teams and a strong understanding of computer architecture and ML fundamentals. | Serve | 7 |
| Applied Scientist, Fauna This role focuses on developing evaluation frameworks and data collection protocols for robotic capabilities, bridging robotics, ML, and human-in-the-loop systems. The scientist will design evaluation methodologies, create data collection protocols, build teleoperation workflows, and analyze results to improve robot behavior and dataset generation. | Eval GateData | 7 |
| ProServe Cloud Architect, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth Cloud Architect for AWS Professional Services focusing on enterprise customers, with a specialization in AI/Agentic AI architectures and Retail/Consumer Goods (RCG) solutions. The role involves pre-sales, solution design, and collaboration across Amazon business units to drive SOW signings and successful implementations. | Agent | 7 |
| Data Scientist II, Amazon Currency Convertor Data Scientist II at Amazon Payments focused on building analytical solutions for the Amazon Currency Convertor using Gen AI, LLM, and other machine learning techniques for text analytics, segmentation, and prediction. Responsibilities include applying causal inference, developing descriptive and predictive solutions, collaborating with stakeholders, innovating with modeling techniques, performing exploratory data analysis, and building models using standard techniques. Specific tasks involve fine-tuning Amazon LLMs for text summarization, preventing catastrophic forgetting, feature engineering, and implementing data flow solutions. | Post-train | 7 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer to build industry-first conversational advertising experiences powered by LLMs on Amazon Search. This role involves shipping GenAI to hundreds of millions of shoppers, working at the intersection of Generative AI and advertising at Amazon's scale. Responsibilities include designing and developing new conversational ad experiences, building large-scale, low-latency distributed systems and ML infrastructure, partnering with scientists to implement and operationalize LLMOps, and building data pipelines for personalized, AI-driven advertising. | AgentServe | 7 |
| Manager, Data Science Manager for a Data Science team focused on building and deploying ML models for ASIN classification within Amazon's compliance programs. The role involves leading a team, defining roadmaps, owning end-to-end delivery, driving architecture, and ensuring production monitoring and scalability. Experience with LLMs, multi-modal learning, and production ML environments is required. | ShipServe | 7 |
| Manager, Business Intelligence, FBA Analytics Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents. | AgentData | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Principal ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role focuses on designing and implementing agentic AI and generative AI solutions for healthcare and life sciences customers on AWS. The Principal ProServe Cloud Architect will partner with customers to understand their business objectives and translate them into innovative cloud and AI solutions, focusing on areas like clinical trial management, data operations, and regulatory submissions. The role involves technical advisory, solution design, and collaboration with various AWS teams to drive digital transformation and achieve customer business outcomes. | Agent | 7 |
| Software Development Manager - Advertiser Intelligence Center & Agent Context, Sales AI Software Development Manager to lead a team building an advertiser Intelligence Center (AIC) service, which serves as the contextual backbone for AI agents. The role involves owning the technical vision, people development, and delivery for systems that aggregate, structure, and serve advertiser context to agents, enabling AI-driven workflows. This is a greenfield leadership opportunity at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | Agent | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, the contextual backbone for AI agents in Amazon Advertising. This role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. It sits at the intersection of large-scale data systems, Generative AI, and production agent frameworks, focusing on building context services for intelligent sales workflows. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Sr. Software Development Engineer, MLOPs Senior Software Development Engineer focused on building and operating ML training infrastructure for robot learning at scale. This role involves designing and implementing distributed GPU training pipelines, CI/CD for ML models, experiment tracking, data pipelines for robotics datasets, and operationalizing novel ML models, with a focus on Kubernetes and large-scale distributed systems. | DataServe | 7 |
| Sr Solutions Architect, Alexa+ 3P Experiences Senior Solutions Architect to lead technical partner integrations for Alexa+, Amazon's next-generation personal AI assistant. This role involves designing, validating, and shipping integrations that bring third-party agentic capabilities into Alexa+ across diverse consumer categories. The architect will work hands-on with partners, build playbooks and reference architectures, and influence product roadmaps. The role requires experience with modern integration protocols, agentic system design, and full-stack fluency. | Agent | 7 |
| Senior SDE, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Data Platform team, focusing on building ML infrastructure for personalization and recommendation systems. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on big data pipeline architecture and scalable ML solutions. Responsibilities include designing and delivering ML and Data platform solutions, mentoring engineers, and influencing technical strategy. | DataServe | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery, leading a team of engineers to build and deliver AI-first personalization models and services at scale for customer recommendations on the PV Homepage. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on ML and experimentation to improve content surfacing. | Ship | 7 |
| Business Research Analyst - I, RBS Tech This role involves implementing classical ML models and LLM-based inferences for business problems. The analyst will develop prompts, conduct evaluations, collaborate on deployment, and monitor performance. The role requires hands-on Python and ML/LLM toolkit skills, understanding of AI/ML trade-offs, and the ability to deliver scoped ML components. | Post-trainServe | 7 |
| Business Research Analyst - I, RBS Tech This role involves implementing classical ML models and LLM-based inferences for business problems. The analyst will develop prompts, conduct evaluations, collaborate on deployment, and monitor performance. The role requires hands-on Python and ML/LLM toolkit skills, understanding of AI/ML trade-offs, and the ability to deliver scoped ML components. | Post-trainServe | 7 |
| Applied Scientist, EU International Technologies Applied Scientist role focused on improving Amazon's product search service by developing and deploying ML solutions for query understanding, ranking, and personalization. The role involves analyzing data, designing and building ML models, evaluating them through offline and online tests, and publishing research. It requires knowledge of ML fundamentals, transformer architectures, and training/inference lifecycles, with a focus on delivering customer-facing improvements in a production environment. | ShipServe | 7 |
| Data Scientist, AWS Compliance & Security Assurance Data Scientist role focused on applying AI/ML, particularly LLMs and VLMs, to enhance AWS compliance and security assurance operations. The role involves analyzing complex datasets, prototyping AI solutions, and collaborating cross-functionally to deliver data-driven solutions. Requires strong background in automation using GenAI, data analysis, and transforming business needs into deliverables. | Agent | 7 |
| Applied SCI III - AMZ007408, AWS Science of Security This role focuses on the design, development, evaluation, and deployment of formal reasoning systems for security, privacy, and data protection in cloud environments. It involves applying formal verification and automated theorem proving, leading research in AI security, evaluating threats to Generative AI, and developing safeguards. The role also requires building and implementing scalable software solutions for AI systems, data privacy, security, or automated reasoning, with experience in compiler development, static program analysis, or formal/symbolic AI systems. | Eval GateAgent | 7 |
| Applied Scientist II, Seller Fulfillment Services (SFS) Applied Scientist II role focused on building and improving machine learning models for Amazon's Seller Fulfillment Services (SFS) to enhance selection, delivery, and seller experience. The role involves research, design, implementation, testing, and deployment of science solutions, collaborating with cross-functional teams, and working with large datasets and scalable inference methods. | Ship | 7 |
| Applied Scientist, Alexa Smart Home Applied Scientist role focused on building end-to-end AI systems for Alexa Smart Home, leveraging ML, NLP, and computer vision. Requires PhD or Master's with significant experience in model building, publications, and knowledge of LLMs, RAG, multi-modal LLMs, and recommender systems. The role involves owning system design, development, and driving production-level projects. | Agent | 7 |
| Business Analyst I, GAR QC and Governance This role focuses on building AI-driven operational strategies and automations for risk mitigation in financial collections. It involves developing and deploying end-to-end AI solutions, from data ingestion to monitoring, and integrating AI outputs into automated workflows. The role requires strong data analytics, SQL, Python, and experience with AWS services and AI/ML libraries for predictive analytics, anomaly detection, and forecasting. | Agent | 7 |
| Business Analyst I This Business Analyst role focuses on leveraging AI/ML for risk mitigation, predictive analytics, and automation within Amazon's FinOps Collections Quality Control and Governance team. The role involves developing and deploying end-to-end AI solutions, from data ingestion to monitoring, and integrating AI outputs into automated workflows. It requires strong SQL and Python skills, experience with AWS services, and familiarity with AI/ML libraries and NLP for text analytics. | Agent | 7 |
| Senior Applied Scientist, Applied AI Solutions GTM Senior Applied Scientist role focused on building and deploying production AI solutions for enterprise customers within AWS. The role involves developing ML models and pipelines to drive business outcomes, quantify value, and enable field teams. It requires experience in deep learning, NLP, generative AI, and translating technical findings into business decisions, with a focus on scaling AI impact for customers. | ShipData | 7 |
| AI & AWS Software Development Engineer , Ring/Blink CS Technology Enablement Software Development Engineer to design and deliver key components of an AI-powered customer service platform, focusing on automated support systems and leveraging AWS AI services. The role involves end-to-end technical design, implementation, and optimization of AI initiatives, with a strong emphasis on scalability, reliability, and cost-efficiency within the AWS ecosystem. Experience with contact center regulations (PCI DSS, HIPAA) is required. | AgentServe | 7 |
| Reliability Analytics Engineer, Amazon Robotics This role focuses on reliability analytics within Amazon Robotics, leveraging AI/ML and data engineering to build and maintain assessment tools, data pipelines, and dashboards for robot fleet availability. The engineer will perform data cleansing, prepare reliability datasets, translate engineering questions into data queries, and develop automation for failure mode classification and fleet health monitoring. | Data | 7 |
| Senior Video Compression Development Engineer, AWS Elemental, Elemental Video Engine Senior Software Development Engineer focused on video compression, responsible for writing code to process customer video and metadata. The role involves working on video technologies like VVC, AV1, HEVC, AVC, high dynamic range video, and enhancement filters. A key aspect is utilizing ML and Generative AI to solve new problems, improve video quality, enable new use cases, and enhance compute performance of video processing. The engineer will also design and implement improved video filters and contribute to home-grown video encoders. | Serve | 7 |
| 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, balancing quality, latency, and coverage, and requires end-to-end ownership from problem formulation to production deployment. | AgentPost-train | 7 |
| Applied Scientist, Amazon Shopping Personalization Research Scientist role focused on developing and launching new AI technologies for Amazon's Personalization organization, specifically in recommendation systems and large language models, impacting millions of customers. | ShipAgent | 7 |
| Principal Product Manager - Tech, Personalization This role is for a Principal Product Manager, Tech, focusing on personalization for Amazon's prominent pages. The role involves leading the product roadmap for tailoring customer experiences using state-of-the-art machine learning techniques like reinforcement learning and deep learning to build scalable, real-time systems. The goal is to create personalized shopping experiences that act as a personal shopping assistant, driving innovation in recommender systems and optimizing content across Amazon. | ShipAgent | 7 |
| Pr. Delivery Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, transitioning GenAI prototypes to production. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to modernize a complex legacy platform using generative and agentic AI. | Agent | 7 |
| Applied Scientist II, US Prime and Marketing Tech The Discovery Tech team at Amazon is seeking an Applied Scientist II to build and optimize critical services for marketing and merchandising using machine learning models. The role focuses on developing data-driven, scalable ML solutions for product recommendation to enhance customer experience and enable intelligent marketing campaigns. | Ship | 7 |
| Delivery Consultant, AWS Professional Services Seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The role involves designing and building end-to-end applications powered by Generative AI, including agentic development and AI-assisted software development. | Agent | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on designing and executing experiments to measure the effectiveness of marketing campaigns at Amazon scale. The scientist will build measurement frameworks, apply causal inference methods, and establish experimental standards for lifecycle marketing, ultimately guiding marketing strategy and investment decisions. The role is within the consumer domain and involves scaling existing AI/ML applications. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building and designing next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models, including LLMs and GenAI, and leveraging AWS infrastructure for distributed systems at scale. | Ship | 7 |
| Software Development Manager, Amazon Rufus This role is for a Software Development Manager at Amazon, focused on building a new generative AI-powered shopping and search experience. The goal is to create intuitive, conversational interfaces that synthesize complex information and provide trustworthy recommendations, aiming to make AI shopping a major business pillar for Amazon. The role involves leading engineers, scientists, and product leaders to innovate and deliver AI products at scale. | Ship | 7 |
| Senior Data Engineer, Amazon Customer Service Senior Data Engineer role focused on building and maintaining data infrastructure for AI/ML and LLM-based systems, specifically agentic workflows and RAG architectures. The role involves designing data pipelines, vector databases, embedding pipelines, and developing observability/evaluation pipelines for LLM features. | AgentData | 7 |
| Applied Scientist, Advertising The role focuses on designing and implementing deep learning models for ad matching in Amazon's programmatic advertising products. It involves optimizing ad selection based on customer behavior and contextual information to predict conversion propensity, ultimately driving better campaign outcomes for multi-billion dollar businesses. The work impacts high-throughput production systems and requires collaboration with engineers and product teams. | Ship | 7 |
| Principal Technical Program Manager, WHS Data-Tech Principal Technical Program Manager for Amazon's Workplace Health & Safety Data-Tech team, focusing on AI and computer vision systems to prevent workplace safety incidents. The role involves owning program strategy, roadmap, and delivery, partnering with scientists and engineers to move research to production, and managing complex technical challenges across multiple teams. Requires deep fluency in AI/ML systems and experience in program management, software development, and cross-functional collaboration. | ShipServe | 7 |
