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 16% 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 |
|---|---|---|
| Solutions Developer, Prototyping and Customer Engineering (PACE) Solutions Developer role focused on building prototypes and customer-facing solutions using AWS services, with a strong emphasis on Machine Learning, Agentic Design, and Generative AI. The role involves rapid development, experimentation with new technologies, and translating business problems into technical solutions. | Agent | 7 |
| Product Manager III, DSP Capacity Planning Product Manager to own the intersection of technology, partner experience, and operational strategy within DSP Capacity Planning. This role will build the team's AI product strategy from a blank canvas, own the roadmap for DSP-facing technology, and serve as the Voice of the DSP. The role requires a product leader who can drive alignment across engineering, science, operations, and business development. | Agent |
| 7 |
| Principal PMT-ES, Kiro Principal Product Manager for Kiro, an AI-powered software development environment focused on agentic systems. The role involves defining product vision, strategy, and go-to-market plans for innovative AI products, collaborating with engineering and science leaders, and working with customers to define operational excellence in the context of AI agents. | Agent | 7 |
| Sr. Software Development Engineer, Amazon Shopping (Rufus) Senior Software Development Engineer role focused on building and scaling agentic AI applications powered by large language models for the Amazon Shopping experience. The role involves architecting, designing, and developing back-end systems and online services, including service orchestration, agent frameworks, and real-time processing. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team aims to improve search using large-scale foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Sr. Software Dev Engineer, Healthcare AI Senior Software Development Engineer role in AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves designing and implementing distributed systems and AI-powered healthcare solutions, leveraging generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Software Development Engineer - Machine Learning Prime Video Recommendations, Prime Video Personalization and Discovery Software Development Engineer focused on building and scaling machine learning models for Prime Video recommendations, aiming to provide personalized content discovery for millions of customers. | Ship | 7 |
| Data Scientist, Labs, SCOT Forecasting and Labs Data Scientist role focused on designing and operating an experimentation platform for supply chain optimization. The role involves advancing causal inference methodology, building production-grade infrastructure, and developing supply chain emulation systems to evaluate policy changes. The work directly influences significant inventory investments and operational decisions, with opportunities for publication in top venues. | ShipAgent | 7 |
| Data Scientist, Labs, SCOT Forecasting and Labs Data Scientist role focused on designing and operating an experimentation platform for supply chain optimization. The role involves advancing causal inference methodology, building production-grade infrastructure, and developing supply chain emulation systems to evaluate policy changes. The work directly influences significant inventory investments and operational decisions, with opportunities for publication in top venues. | ShipAgent | 7 |
| Senior Software Dev Engineer , Velocity Senior Software Engineer on the Velocity team at Amazon, focusing on perception and localization for autonomous robots. The role involves developing ML capabilities and infrastructure for perception/localization, optimizing algorithm performance, and building frameworks for data replay, analysis, and resource management on embedded systems. | DataServe | 7 |
| Machine Learning Software Development Engineer II, Amazon Robotics (AR) Scanless Technologies Machine Learning Software Development Engineer II for Amazon Robotics, focusing on Scanless Technologies. This role involves designing, developing, testing, and deploying software solutions that use machine learning and computer vision to automate fulfillment center operations, specifically by eliminating the need for manual scanning. The engineer will be a technical leader, solving complex problems and owning software performance, hardware integrations, and cost-optimal solutions. | Ship | 7 |
| Sr. Applied Scientist, Amazon Publisher Monetization - Ads This role focuses on developing and launching AI-based solutions for advertising, specifically in contextual targeting and ad syndication. The scientist will work with generative AI, computer vision, and large language models to maximize yield and deliver engaging ads. Responsibilities include partnering with Product and Engineering, driving end-to-end applied science projects, providing technical leadership, and researching new machine learning approaches. | Agent | 7 |
| Software Development Engineer, Prime Video Personalization & Discovery, Prime Video Personalization & Discovery Software Development Engineer role focused on developing AI solutions for Prime Video's personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves building and guiding ML models end-to-end, leading cross-team collaboration, and conducting experiments to evaluate solutions. It also includes mentoring junior engineers and staying updated with the latest modeling techniques. | AgentPost-train | 7 |
| Sr. SDE, Machine Learning, Prime Video Personalization and Discovery Senior Software Development Engineer (SDE) on the Prime Video Personalization and Discovery team. This role focuses on building and evolving ML-driven systems for personalized recommendations and content discovery at scale for millions of Prime Video customers. The engineer will lead technical aspects, partner with stakeholders, and contribute to the strategic vision of the recommendation space. | Ship | 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role focused on developing and implementing Generative AI solutions for Amazon's Sponsored Products and Brands advertising platform. The role involves building recommendation systems, designing new AI solutions, and driving the science vision to improve advertiser campaigns and shopper experiences. It requires end-to-end ownership from design to launch, including A/B testing and long-term strategic planning. | ShipAgent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users. | 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 systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users. | Agent | 7 |
| Software Engineer II, Search Science Data Infra The Software Engineer II, Search Science Data Infra role at Amazon focuses on building and managing infrastructure for ML model training data and feature stores. This involves developing services at the intersection of machine learning, big data, and distributed systems, managing the ML lifecycle, and processing large volumes of data for ML services. The role supports hundreds of science teams across Amazon and powers various search functionalities. | DataServe | 7 |
| Sr Technical Program Manager - Prime Video, AI Automation The Sr. Technical Program Manager will lead the planning, execution, and launch of a transformation program focused on architectural transformation and infrastructure efficiency within Prime Video. This role requires a strong understanding of AI technologies, including LLMs, recommendation systems, and autonomous agents, to guide cross-functional teams in adopting and integrating AI solutions. The TPM will identify and mitigate risks associated with AI deployments, partner with leaders to align initiatives with objectives, and drive technical decisions to optimize performance and customer experience. | Agent | 7 |
| Senior Software Development Engineer Senior Software Development Engineer role focused on developing advanced robotics systems at Amazon scale, integrating cutting-edge AI, control systems, and mechanical design for adaptable automation solutions. The role involves leading a team to design and implement a software framework for generalized dexterous mobile manipulation, including cloud and on-edge inferencing, real-time teleoperation, and human-machine interfaces. | ServeAgent | 7 |
| AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail This role is an AI/ML Solutions Architect focused on helping AWS customers design and adopt Generative AI and Machine Learning solutions on AWS. The role involves deep technical expertise in AWS AI/ML services, customer engagement, and acting as a liaison between customers and AWS service teams. The primary focus is on enabling customers to build and deploy AI/ML solutions, particularly GenAI, on the AWS platform. | Agent | 7 |
| Senior Software Development Engineer, Ads-Full-Funnel Agentic Intelligence Senior Software Engineer to lead technical vision and innovation for a new team building a horizontal agentic AI layer for Amazon Advertising. The role involves architecting and implementing robust AI-powered marketing expert systems that reason, plan, and act on behalf of advertisers. | Agent | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications for hardware engineering teams, with a significant emphasis on integrating AI/ML technologies to enable intelligent automation, design review, and design generation within traditional CAD workflows. The engineer will collaborate with AI/ML teams to integrate LLMs and machine learning capabilities, develop custom workflows, and support engineering tools. | Agent | 7 |
| Software Development Engineer II, Profit Intelligence Software Development Engineer II role focused on building and deploying machine learning models and systems for profit intelligence within Amazon. Responsibilities include production deployment, architecture design, automation of ML pipelines, and metrics design for model effectiveness. The role leverages AWS cloud services and distributed systems. | ServeData | 7 |
| Applied Scientist, Prime Video - Title Lifecycle Presentation Applied Scientist role at Amazon Prime Video focused on building machine learning systems for content presentation and discovery. The role involves working with multi-modal embeddings, contextualized ranking, reinforcement learning, and recommender systems to improve customer engagement with the Prime Video catalog. | Ship | 7 |
| Applied Science Manager, Ads Measurement Science Manager of Applied Science for Amazon Ads Measurement Science team, focusing on developing and leading a team to create solutions for performance measurement products. This includes leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to measure ad spend impact, provide insights, and potentially develop agentic AI solutions for advertisers. The role involves managing scientists, defining strategy, and delivering scientific solutions. | Ship | 7 |
| Applied Science Manager, Ads Measurement Science Manager of Applied Science for Amazon Ads Measurement Science team, focusing on developing and leading a team to create solutions for performance measurement products. This includes leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to measure ad spend impact, provide insights, and potentially develop agentic AI solutions for advertisers. The role involves managing scientists, defining strategy, and delivering scientific solutions. | Ship | 7 |
| Senior AI Innovation & GTM Programs Lead, Applied AI Solutions, Applied AI Solutions The role is for a Senior AI Innovation & GTM Programs Lead within AWS Applied AI Solutions. The primary focus is on driving organizational effectiveness by building AI-powered tools and automation using technologies like Amazon QuickSight and Kiro to streamline Go-To-Market (GTM) processes, enhance account planning, and accelerate business growth. The role involves owning the technical roadmap for AI innovation, prototyping new capabilities, and translating business needs into technical solutions. | Agent | 7 |
| (Fall 2026) Annapurna Labs at AWS Internship (US) - Machine Learning Systems & Silicon Innovation Internship role focused on building AI infrastructure and ML systems, including custom silicon design, framework optimization, compiler development, and distributed training systems for AWS. | Serve | 7 |
| Sr. TPM - SF Agentic AI, Amazon Business GTM Sales Technology Technical Program Manager for Salesforce Agentic AI at Amazon Business, focusing on delivering GenAI and agentic automation programs to transform sales and account management operations. This role involves driving cross-functional alignment, translating business requirements into technical plans, evaluating integration architectures, and leading post-launch operations for AI-powered features. | Agent | 7 |
| Software Dev Engineer III, Conversational Ad Experiences Software Development Engineer III role focused on building conversational ad experiences using generative AI and LLMs for Amazon Ads. The role involves designing and developing new features, integrating AI solutions, pioneering conversational AI approaches, and creating scalable, low-latency systems. It requires strong software engineering skills and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Applied Scientist Intern This Applied Scientist Intern role at Audible focuses on developing innovative AI solutions for recommendation, content understanding, and AI-powered product experiences. The intern will design and implement ML models, frameworks, and evaluation methodologies, enabling self-service automation and building AI systems that drive internal productivity and new product features. The role emphasizes practical implementation, collaboration with cross-functional teams, and raising AI fluency across the organization. | AgentEval Gate | 7 |
| AI Builder, Amazon Ads Marketing This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads. The AI Builder will work with stakeholders to identify pain points, develop AI-native workflows, and ship AI use cases from pilot to production, establishing reusable frameworks and setting standards for AI transformation in marketing. | Agent | 7 |
| Sr. Applied Scientist, Amazon B2B Payments and Lending, Credit and Fraud Science Senior Applied Scientist role focused on applying AI/ML and GenAI to credit management, B2B financial services, and payments within Amazon. The role involves developing and deploying production models for credit and fraud management, enhancing product features, and leveraging alternative data. It requires experience with foundation models, agentic frameworks, and LLM-powered automation, with a strong emphasis on operational excellence and delivering customer value through AI-driven insights and automation. | Ship | 7 |
| Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction This role focuses on developing and deploying machine learning and generative AI models for Amazon's Sponsored Products and Brands Ads, aiming to personalize advertising experiences and optimize the ad-serving process. It involves data analysis, model development, A/B testing, and research into new AI solutions, with a strong emphasis on productionizing these models for a large-scale consumer product. | ShipPost-train | 7 |
| Applied Scientist, WWOS Tech This role focuses on building and deploying ML models to detect theft, fraud, and organized crime within Amazon's global supply chain and operations. The scientist will own KPIs, automate detection, analyze operational defects, contribute to strategy, and integrate ML models into applications. The role requires a PhD or Master's with significant applied research experience in ML, particularly in fraud detection and organized crime. | Agent | 7 |
| 2026 Fall Research Science Internship - United States, PhD Student Science Recruiting This role is for a PhD student intern focused on research science at Amazon. The intern will apply advanced statistical techniques and AI/ML technologies to solve complex problems, implement prototypes, and work with large datasets. Responsibilities include data collection, analysis, interpretation, developing and testing hypotheses, documenting findings, and collaborating with team members. The role emphasizes hands-on scientific work, data analysis, experimental design, and computational modeling. | Data | 7 |
| Software Development Engineer II Software Development Engineer II at Amazon focused on building advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The role involves developing a software framework for robot deployment, generalization, integration with large models and control techniques, and human-safe solutions. Key responsibilities include designing manipulation components, cloud/edge inferencing, real-time communication, and human-machine interfaces. | AgentServe | 7 |
| Software Development Engineer, CreativeX Software Development Engineer focused on real-time ad personalization and insights, leveraging generative AI technologies like latent diffusion models, LLMs, and RL to tailor visual ad experiences. The role involves investigating new technologies, building data pipelines, and developing platforms for ML model deployment in the Dynamic Creative Optimization (DCO) domain. | ServePost-train | 7 |
| Applied Scientist, Ads Econ Applied Scientist role at Amazon Advertising focusing on building full life-cycle machine learning solutions, including scaling ad performance insights through agentic systems/LLMs. The role involves hands-on analysis, modeling with large datasets, productionizing ML models with engineers, running A/B experiments, and researching innovative ML approaches to drive monetization and sales for Amazon's advertising products. | Agent | 7 |
| Software Development Manager, Elastic Block Store (EBS), Capacity Optimization Software Development Manager for Amazon Web Services (AWS) Elastic Block Store (EBS) Capacity Engineering team. The role involves leading a team to invent and build a new capacity forecasting and planning platform using AI/ML, including machine learning models, algorithms, and agents, to automate capacity planning and purchasing for AWS data centers globally. The focus is on optimizing fleet servers, predicting demand, and balancing service, infrastructure, financial, and business constraints to support the rapid growth of AWS, especially driven by AI workloads. | Agent | 7 |
| Data Scientist II, SCOT - OSS Buying Outcomes Data Scientist II role focused on developing and supporting data science methodologies and models for Amazon's global inventory management and buying programs. The role involves deriving causal inferences, modeling variations, and building tools to drive key decisions in buying and sourcing strategies, with a focus on massive datasets and operational efficiency. | Data | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves designing end-to-end data lifecycles and building multi-agent solutions to automate data engineering tasks. It also includes contributing to the shared data platform and AI/ML models. | AgentData | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system that combines LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. The role involves building data pipelines, optimizing core algorithms and ranking models, designing data structures and indexing techniques, optimizing performance and scalability, integrating ML models, and developing control plane systems for the IR system infrastructure. Experience with Rust, large-scale distributed systems, and ML integration is required. | AgentServe | 7 |
| Sr Software Development Engineer, EC2 Nitro Machine Learning Systems Senior Software Development Engineer role focused on building and scaling machine learning infrastructure for EC2 Nitro, supporting training and inference workloads for various ML applications including LLMs and multimodal systems. The role involves designing innovative technologies, leading technical projects, developing regression testing systems, and collaborating with hardware teams to optimize platform designs for ML performance. | ServeData | 7 |
| Senior SDE, Prime Video Personalization & Discovery Senior Software Development Engineer for Prime Video's Machine Learning Platform team, focusing on recommendation systems and ML infrastructure. The role involves end-to-end ownership of product, user experience, design, and technology to deliver state-of-the-art entertainment experiences. Responsibilities include designing and building ML infrastructure, tackling complex problems, delivering scalable ML platform solutions, writing code, mentoring engineers, and influencing technical strategy. | ShipServe | 7 |
| Software Dev Engineer, EC2 Nitro Software Development Engineer on the EC2 Nitro Machine Learning Systems team, focusing on building and optimizing performance measurement infrastructure for AI/ML workloads. The role involves establishing best-known configurations, translating performance insights into technical requirements, and analyzing training/inference performance across accelerated platforms. It requires expertise in low-level systems, ML frameworks, and serving layers. | Serve | 7 |
| Senior Software Development Engineer, EC2 Nitro Senior Software Development Engineer role focused on building and scaling EC2 compute platforms for machine learning workloads, including training and inference for LLMs and multimodal systems. The role involves designing innovative technologies, leading technical projects, developing regression testing systems, and collaborating with hardware teams to optimize platform designs for ML performance. | ServeAgent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service. Focus on technical leadership, architecture, and balancing execution with long-term needs. | Agent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead architecture and design of AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service for enterprise data integration with FMs and agents. Focus on scaling services, innovating on Gen AI, and ensuring extensible, performant, and secure solutions. | Agent | 7 |
| Applied Science Manager, Prime Air Applied Science Manager leading a team focused on optimizing drone fleet mission planning and orchestration using ML/RL and geospatial data to maximize deliveries per hour. The role involves path planning, scheduling, system architecture, and cross-functional collaboration, with a focus on turning research into deployed features. | AgentData | 7 |
