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.
Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| 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 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon to build and scale an AI-powered automation platform for internal tools (Amazon Quick Suite). The role involves designing and delivering features for natural language workflow automation, agentic AI capabilities, and enterprise integrations, operating at massive scale for 450,000+ internal users and external AWS customers. Responsibilities include architecting and implementing scalable services, building integrations, owning end-to-end delivery, and scaling systems for high availability and low latency. | Agent | 7 |
| Sr. Applied Scientist, Amazon Music - Catalog Sr. Applied Scientist at Amazon Music focused on developing and scaling AI/ML solutions for music understanding, curation, and engagement. The role involves shaping scientific direction, identifying GenAI and multimodal AI opportunities, and collaborating with engineering and product teams to launch scalable AI solutions that improve music discovery and personalization. Key responsibilities include inventing innovative AI/ML solutions, driving rigorous experimentation, and providing architectural guidance. | Ship | 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 |
| Zappos Data Scientist II, Zappos/Shopbop Catalog Engineering Data Scientist II on the Shopbop/Zappos Catalog Tech team responsible for designing and implementing ML approaches to improve catalog data quality, automate data capture and classification, and develop image classification systems. The role involves partnering with engineering teams, influencing product decisions with data-driven insights, and leveraging ML technologies in an e-commerce context. The day-to-day includes reviewing model performance, developing new approaches using LLMs, advising on model architecture, and analyzing A/B test results. | ShipAgent | 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 |
| 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 timelines using GenAI workflows and human-in-the-loop validation. | Agent | 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, 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 |
| 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 |
| 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 |
| Solutions Architect, EdTech Strategic ISVs Solutions Architect for EdTech ISVs, focusing on architecting and scaling generative AI and agentic systems on AWS, with a strong emphasis on data foundations and privacy-sensitive education environments. The role involves guiding customers from prototypes to production systems, ensuring compliance with regulations like FERPA and COPPA. | AgentServe | 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining vision, roadmaps, driving execution, and partnering with cross-functional teams on AI capabilities including Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 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 |
| Software Development Engineer II, Project Dawn Software Development Engineer II role focused on building and owning end-to-end generative AI-powered systems for Amazon's customer-facing shopping experiences, including offer extraction, product enrichment, and AI-powered selection tools. The role involves designing, developing, and maintaining services leveraging LLMs and deep learning models at internet scale, collaborating with scientists, and leading technical strategy for data enrichment, model optimization, and evaluation. | ShipServe | 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 |
| Sr. Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, aiming to provide advanced and rigorous solutions for privacy and sovereignty. The scientist will solve complex problems, lead design and implementation of long-term impact solutions, and provide cross-organizational technical influence. The role involves developing strategic plans for new solutions and mentoring others. It's a unique opportunity to shape technology in a fast-growing segment of AWS. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning The Applied Scientist will focus on automated reasoning, privacy, and sovereignty within AWS, solving complex problems and driving innovation in these areas. The role involves strategic problem-solving, design, implementation, and delivery of long-term impact solutions, with a focus on influencing cross-organizational technical direction and mentoring others. The team operates in a fast-moving, start-up environment within AWS, aiming to build a high bar for automated reasoning across Amazon's products and services. | Agent | 7 |
| Sr. Solutions Architect – Engineering, Construction, Real Estate & Transportation & Logistics, ECRT Senior Solutions Architect for AWS ECRT team, focusing on driving adoption of AWS services, particularly AI/ML, Generative AI, and Agentic AI, within the engineering, construction, real estate, and transportation & logistics industries. The role involves crafting cloud architectures, acting as a customer advocate, and designing/prototyping solutions that leverage AI to address industry-specific challenges. | Agent | 7 |
| Professional Services III AMZ13646.13 This role focuses on building and deploying scalable ML/AI solutions within AWS, leveraging Big Data, AppDev, or DevOps experience. It involves close collaboration with Data Scientists and Data Engineers to deliver end-to-end solutions for customers, utilizing ML frameworks, algorithms, and cloud technologies. | ServeData | 7 |
| Sr. Software Development Manager, GenAIUX This role manages a team building Generative AIUX products that transform how customers build new products using AWS services. The focus is on AI-powered tools leveraging Design Systems to build interfaces and accelerate workflows, specifically using generative and agentic AI for simplified AWS onboarding and management experiences. | Agent | 7 |
| Applied Scientist, Sales AI This role focuses on applying AI/ML, particularly Generative AI, to optimize the Ad Sales business by creating actionable insights and recommendations for account teams and improving their end-to-end workflows. The scientist will build and refine models using statistical methods, deep learning, and reinforcement learning, and leverage NLP and Generative AI for explainability. The role involves research, A/B testing, collaboration with engineering and product teams, and translating complex findings into business recommendations. | Agent | 7 |
| Senior Product Manager - Tech, Prime Video Personalization & Discovery Senior Product Manager - Tech for Prime Video Personalization & Discovery, focusing on owning the vision, strategy, and roadmap for core recommendations powered by ML models. The role involves collaborating with scientists and engineers, defining metrics, leading A/B testing, and making trade-off decisions for production-ready solutions. | Ship | 7 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, requiring a Ph.D. and experience in areas like SAT, SMT, and program analysis to solve complex problems and drive innovation in AWS services. | Agent | 7 |
| Sr Solutions Architect, Annapurna ML This role is for a Sr. Solutions Architect focused on AWS Machine Learning accelerators (Inferentia and Trainium). The individual will work with customers to develop and deploy Deep Learning models on these accelerators, acting as a trusted advisor and thought leader. Responsibilities include designing architectures, owning PoCs, driving adoption through technical engagements, and sharing best practices. The role bridges customer needs with engineering roadmaps and involves creating technical content for various audiences. | Serve | 7 |
| Sr. Systems Dev Engineer, AI & Strategic Partner Engineering Senior Systems Development Engineer for AWS, focusing on building AI agents to manage SAP workloads on AWS, ensuring resilience and automating operational tasks. The role involves designing and owning back-end subsystems, customer-facing APIs, and leveraging both SAP and AWS AI services. | AgentServe | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing new AI technologies for personalization in e-commerce, specifically using LLMs, fine-tuning, and recommendation systems. The role involves research, design, development, and launching new features and products, with a strong emphasis on customer impact and innovation. | ShipPost-train | 7 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 7 |
| Applied Scientist , Rufus Experience Science The Rufus Experience Science team at Amazon is looking for a Scientist to build next-generation conversational shopping experiences. This role involves developing data-driven solutions, delivering and maintaining software and models in production, and collaborating cross-functionally. The ideal candidate will have experience implementing algorithms and a publication record at top-tier conferences. | Ship | 7 |
| Sr. Software Dev Engineer, AWS Healthcare AI Senior Software Development Engineer role at AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves system design, implementing distributed systems, and developing AI-powered healthcare solutions using generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Senior Audio Applied Scientist, Edge Technology Senior Applied Scientist role focused on audio processing for Echo devices, involving research, development, and commercialization of spatial audio and music processing technologies. Requires expertise in signal processing and C/C++, with preferred experience in ML applications for audio. | Post-trainServe | 7 |
| Sr. Applied Scientist, WW Promotions Science This role focuses on applying and developing machine learning models for promotional strategies within Amazon's consumer-facing business. The scientist will invent, adapt, and implement new scientific approaches, models, and algorithms to personalize, recommend, rank, and optimize promotions, ultimately driving business decision-making and improving the customer shopping experience. The role involves research, implementation, and analysis of models deployed into production. | Ship | 7 |
| Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth Software Development Engineer for Prime Video Personalization & Discovery Growth team, focusing on building and operating scalable measurement, attribution, and audience optimization systems that leverage AI/ML to connect customers with content and drive subscriber growth. The role involves designing and building services, data pipelines, integrating ML models, and impacting decisions for over 200M customers. | ShipData | 7 |
| Applied Scientist , Prime Video Personalization and Discovery Applied Scientist role at Amazon Prime Video focused on developing and launching end-to-end AI solutions for search and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments, collaborating with engineers and product managers, and publishing research findings. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on enhancing Alexa's audio experiences by integrating Generative AI, improving model accuracy, reducing latency, and building scalable API platforms. The role involves designing and delivering software features, creating infrastructure for LLMs in audio, and influencing operational excellence. | Serve | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Applied Scientist, Amazon Robotics - Vulcan This role focuses on designing, implementing, and deploying motion planning, control, and manipulation algorithms for robotic systems in Amazon fulfillment centers. It involves both engineered and learned approaches, with a strong emphasis on sim-to-real deployment and validation on production systems at scale. The role contributes to learned manipulation behaviors and controllers, requiring production-quality code and scalable, real-time implementations. | ShipAgent | 7 |
| Software Development Engineer, AWS Marketplace AI Agents Software Development Engineer role focused on building backend services and APIs for AI agents to autonomously discover, negotiate, purchase, and consume software within AWS Marketplace. The role involves designing and implementing features for agent-to-agent transactions and programmatic software procurement, operating at the intersection of generative AI and commerce. | Agent | 7 |
| Software Development Engineer, Creative X Software Development Engineer role focused on building and evolving a scalable multi-agent generative AI application for ad placements at Amazon Ads, impacting billions of customers. The role involves designing evaluation frameworks, guardrails, and supporting diverse rendering environments and ad formats, working with LLMs for creative generation and real-time selection. | Agent | 7 |
| Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies Senior Software Development Engineer to lead the design and implementation of generative AI applications for data center design automation, integrating BIM platforms and AWS services. The role involves productionizing ML models, mentoring junior engineers, and building scalable systems in a greenfield opportunity. | Agent | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME) Senior Software Development Engineer to lead Optical AI & Algorithm development and integration into automated manufacturing systems for camera testing, including parametric measurements, calibrations, cosmetic inspections, and automation. | Agent | 7 |
| 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 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AI/ML solutions on AWS for customers, with a strong emphasis on deploying these solutions. The consultant provides technical guidance, collaborates on model training and deployment strategies, and acts as a trusted advisor on AI/ML trends. The role requires experience in software development, cloud architecture, and specifically hosting/deploying GenAI/ML solutions. | ServePost-train | 7 |
| Delivery Consultant - AI/ML & Data Science, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AWS solutions for customers, with a specific emphasis on GenAI and ML applications. The consultant will provide technical guidance, gather requirements, and propose strategies for model training, building, and deployment, acting as a trusted advisor on industry trends and emerging technologies. The role involves hands-on experience with deploying GenAI/ML solutions on AWS. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. Experience with hosting and deploying GenAI/ML solutions is required. | ServePost-train | 7 |
