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 1110 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Technical Program Manager, Ad Measurements Science Principal Technical Program Manager for Amazon Ads Measurement Science team. This role will drive program execution for AI initiatives, including an Analyst Agent and a Customer Journey Model, working across Product, Science, and Engineering. The role involves planning, execution, and delivery of large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems. | Agent | 7 |
| Applied Scientist II, Advertising Incrementality Measurement Applied Scientist II role focused on developing and implementing machine learning and causal inference models for Amazon's advertising incrementality measurement. The role involves end-to-end model development, improving existing solutions, and collaborating with product and engineering teams to bring solutions to production. The team builds scientifically-rigorous causal inference methodologies at scale to help customers understand the impact of advertising. |
| Ship |
| 7 |
| Robotics Engineer, Datacenter Robotic Products & Services Robotics Engineer role focused on the design, deployment, and management of advanced robotic systems at scale within AWS data centers. The role involves developing robust robotic solutions, deploying them across multiple locations, and ensuring reliability, efficiency, and scalability. It requires collaboration with external partners and enterprise customers, and experience with vision language actuation models and shipping production code. | Agent | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Data Scientist, AWS Security Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR. | AgentData | 7 |
| Senior Software Development Engineer, AWS Security Senior Software Development Engineer on the Gravemind team within Amazon Security, focusing on leading the design and implementation of AI-powered security automation, including intelligent incident response and natural language-driven security workflows. The role involves owning architecture, mentoring engineers, and driving operational excellence for services supporting 24/7 security operations. It also includes building scalable data pipelines and analytics solutions. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Senior Applied Scientist, Experience Analytics Senior Applied Scientist role focused on building and deploying ML models for customer analytics and segmentation within AWS. The role involves contributing to customer understanding through segmentation models, behavioral classifiers, and predictive frameworks, with a strong emphasis on taking models from research to production. It requires building production ML infrastructure, framing new modeling problems, and collaborating with engineering teams to integrate ML systems into the CLARA platform and other frameworks. The role also involves contributing to scientific direction, mentoring, and documentation, with a focus on shipping models at scale and adapting to evolving customer behaviors driven by AI and agentic workflows. | ShipServe | 7 |
| Applied Scientist, Experience Analytics Applied Scientist role focused on building production ML infrastructure for customer analytics, including offline training pipelines, online scoring systems, and monitoring. The role involves signal analysis, pattern discovery, and predictive modeling, with a focus on behavioral signals from AI agents and agentic workflows, aiming to ship AI-augmented customer experiences. | ShipServe | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | Agent | 7 |
| 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 Development Engineer, Alexa AI Software Development Engineer to design, build, and operate production systems for Alexa's AI runtime, focusing on agent communication platforms, intelligent request routing, and unified agent ingress. The role involves building infrastructure for AI agents and transforming LLM outputs into real-time responses. | AgentServe | 7 |
| Solutions Architect II, National Security Solutions Architecture Team Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments. | Agent | 7 |
| Applied Science Manager, Sponsored Products This role leads a multi-disciplinary team of applied scientists and engineers focused on developing and deploying generative AI technologies for Amazon's Sponsored Products and Brands. The team works on complex engineering, optimization, and user-experience problems to deliver relevant product ads, driving both shopper experience and business monetization. Responsibilities include leading ML projects, building and deploying models, running experiments, establishing scalable processes, and researching new ML approaches. | ShipServe | 7 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers. | Agent | 7 |
| 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. 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 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery team, responsible for leading engineers in designing, implementing, and delivering large technology initiatives for AI-first personalization models at scale. Focuses on product ownership, user experience, and technical strategy for recommendation systems. | Ship | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role at Amazon Prime Video focusing on personalization and discovery science. The role involves developing AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It requires designing and conducting experiments, and publishing research findings. The team owns science solutions for search experience, including sourcing, relevance, and ranking. | Ship | 7 |
| Principal Economist, Ads Econ This role focuses on developing and applying advanced econometric and machine learning models for Amazon's advertising products. The primary responsibilities include designing and analyzing large-scale experiments, developing novel causal inference methodologies for attribution and incrementality measurement, inventing optimization frameworks for bidding and targeting strategies, and defining the science roadmap for ads measurement and optimization. The role also involves building structural and reduced-form models to quantify advertising impact on consumer behavior and partnering with engineering teams to operationalize these models into production systems. The position requires a PhD in a quantitative field, extensive industry experience, and proficiency in big data and machine learning. | AgentData | 7 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon on the Foundational AI — Quick & Automation Platform Team. This role focuses on building and scaling an AI-powered automation platform for internal Amazon Quick Suite features, enabling natural language workflow automation, agentic AI capabilities, and enterprise integrations at massive scale. The engineer will design and deliver features, own end-to-end delivery, and work at the intersection of AI/ML, distributed systems, and developer productivity. | AgentServe | 7 |
| Principal, Solutions Architect - Media, Entertainment, Games & Sports , Solutions Architecture - AWSI-MEGS Direct Accounts This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles. | Agent | 7 |
| Senior Applied Scientist, Full-funnel Agentic Intelligence and Models Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods. | Agent | 7 |
| Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on developing innovative solutions in brand measurement for Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and provide AI-driven insights to advertisers. | Ship | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms. | AgentServe | 7 |
| Data Scientist, SCOT Forecasting and Labs - CIV Team Data Scientist role focused on developing and implementing statistical, causal, and machine learning techniques for forecasting and inventory management within Amazon's retail supply chain. The role involves creating prototypes, collaborating with software teams for production implementation, and analyzing key business metrics to influence business direction. | Post-train | 7 |
| Sr Applied Scientist, Digital Ads , Amazon Digital Advertising Senior Applied Scientist role focused on developing state-of-the-art measurement approaches and machine learning models for Amazon's digital advertising business, operating at Petabyte scale. The role involves designing and analyzing large-scale experiments, collaborating with engineering teams to productionize models, and establishing scalable processes for model development and validation. Requires expertise in experimental statistics, machine learning, or causal inference, with a focus on building sophisticated decision engines and measurement systems. | Ship | 7 |
| Sr. Product Manager - Technical (External Services), AWS Startups, AWS Startups The Senior Product Manager, Technical (External Services) for AWS Startups will own the product strategy, roadmap, and external delivery of a new AI-powered startup guidance experience. This role involves defining and driving the product roadmap for an intelligent agent that leverages generative AI to provide personalized technical guidance, architecture recommendations, and growth insights to early-stage founders. The product will be delivered externally through AWS's startup portal and integrated into developer IDEs, requiring ownership of APIs, developer experiences, GTM, pricing, and operational excellence for a customer-facing AWS product. | Agent | 7 |
| Manager III, Software Dev, Search Science Data Infra The role is for a Manager III, Software Development within Amazon Search's Search Science Data Infrastructure team. The primary focus is on leading the development of services and infrastructure for ML model training data, feature engineering, and data quality monitoring. This involves managing the ML lifecycle and operations using AWS AI services and DL compute resources, and driving a scalable data-intensive infrastructure to enable data-driven ML services. The role also involves building training data systems for search ranking and matching models and providing technical leadership and mentorship. | Data | 7 |
| Sr. Software Development Engineer, Automated Reasoning Group Senior Software Development Engineer role focused on applying Automated Reasoning to verify Generative AI outputs, specifically addressing hallucinations within AWS services. The role involves designing and building new services and capabilities at scale, contributing to the evolution of the Automated Reasoning Checks (ARc) service, and making automated reasoning more accessible within AWS. | Eval Gate | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focusing on personalization and discovery science. The role involves developing AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It includes conducting experiments, communicating findings, and publishing research. Requires a PhD or Master's with significant experience in ML model building and programming. | Ship | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focused on building and launching end-to-end AI solutions for personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments to evaluate solutions and requires a strong background in machine learning model development and application. | Ship | 7 |
| Senior Computational Biologist, Special Projects Senior Computational Biologist role focused on developing advanced computational methods and predictive models for complex, multi-modal datasets in the healthcare space. The role involves building interpretable models, integrating diverse data sources, and uncovering actionable insights, operating within an entrepreneurial and rapidly evolving environment. | Post-train | 7 |
| Applied Scientist II, Sponsored Products and Brands The role focuses on improving ad selection within Amazon Ads using generative AI, LLMs, and ML optimization techniques. The primary goal is to enhance the customer shopping experience and drive revenue impact through online experimentation, ML modeling, and real-time ML solutions. | Ship | 7 |
| Senior Applied Scientist, AWS GameTech Cortex Senior Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry within AWS GameTech. The role involves full-stack data solutions, impacting game developers and player experiences through prediction, optimization, recommendation, and anti-cheat systems. Requires experience in building ML models, applied research, deep learning frameworks, and distributed systems, with a preference for AI product development at scale and RL/DRL experience. | Ship | 7 |
| Applied Scientist II, Amazon, Amazon This role focuses on designing and developing evaluation frameworks for LLMs in e-commerce, curating training data to improve model performance, and potentially applying reinforcement learning. It involves working with scientists and engineers to innovate on customer-facing shopping experiences. | Eval GatePost-train | 7 |
| Applied Science Manager, Prime Video Personalization & Discovery Applied Science Manager for Prime Video Personalization & Discovery, leading a team to develop and launch AI solutions for recommendation and personalization systems. Requires experience in deep learning, GenAI, RL, and recommendation systems, with a focus on end-to-end product ownership and team management. | Ship | 7 |
| Software Development Engineer, Amazon Private Brands Software Development Engineer role focused on building autonomous agent systems for product lifecycle management, integrating tool use, memory, and reasoning. The role involves defining architecture and evaluation frameworks for agentic workflows, including orchestration, guardrails, and reliability mechanisms. | Agent | 7 |
| Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering This role focuses on building and operating AWS cloud infrastructure specifically for AI training and inference workloads. The Systems Development Engineer will design, deliver, and operate server solutions that enable high performance and scalability for AI/ML and HPC. The role involves creating automation through agentic workflows and implementing AI-driven tools, impacting both AI implementation and core architecture within the AWS Hardware Engineering team. | Serve | 7 |
| Sr. TPM, GenAI, Catalog Systems The Sr. TPM will own the technical execution and strategy for product data enrichment using Generative AI, foundation models, and multimodal LLMs. This role involves translating business requirements into technical specifications, coordinating development across multiple engineering teams, and ensuring seamless integration into AI training pipelines. The goal is to bring GenAI enrichment capabilities to production at global scale for Amazon's next-generation product data systems. | ShipData | 7 |
| Applied Scientist, Sales AI This role focuses on building and refining Machine Learning and Generative AI models for the Ad Sales business, aiming to optimize workflows, provide insights, and drive efficiency for account teams. It involves conceptualizing research, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. | Agent | 7 |
| Sr. Business Intelligence Engineer, ASP Ops - WWSO Sales & Biz Ops This role focuses on leveraging AI and Agentic technologies to build data products, including autonomous agents, RAG pipelines, and multi-agent orchestration frameworks. The engineer will architect and develop scalable data solutions, build ETL pipelines, statistical models, and machine learning solutions, and partner with business owners to integrate generative AI and automation into programs. The role requires deep experience in SQL, data modeling, AWS data services, and hands-on experience with LLMs, Agentic Frameworks, and RAG architectures. | AgentData | 7 |
| Applied Scientist I, Customer Delivery Excellence Science This role focuses on applying and implementing existing ML solutions to improve global logistics and delivery experiences. The primary responsibility is to build and validate predictive models for delivery time estimation and identify delivery exceptions, directly impacting customer satisfaction and operational efficiency. | Ship | 7 |
| Applied Scientist III - AMZ9898584 Applied Scientist III role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel approaches. The role also includes mentoring junior staff. | Agent | 7 |
