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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| (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 |
| 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 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 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 |
| Principal Product Manager - Technical, Shopper Understanding and Response Prediction Principal Product Manager, Technical for Amazon's Shopper Understanding and Response Prediction team. This role focuses on driving business growth by defining and executing strategies for personalized shopping experiences on Amazon Search and Product pages. It involves working with deep learning models, large-scale ML pipelines, and real-time serving infrastructure, leveraging GenAI to improve shopper understanding and prediction systems. The role requires close collaboration with engineers and applied scientists to deliver tailored shopping experiences and requires strategic vision, technical depth, and analytical rigor. | ShipAgent | 7 |
| Software Development Engineer III - Amazon Robotics, Autonomous Mobility, AMS Software Development Engineer III role focused on leading the technical direction for autonomous navigation stack components, including task planning, motion planning, and control for production robotics systems. The role involves architecting and implementing ML/AI-based systems, impacting thousands of robots, and working with state-of-the-art technologies in a scaling environment. | AgentData | 7 |
| Applied Scientist II, Annapurna ML Applied Scientist II role focused on enhancing ML accelerator software (Trainium/Inferentia) to accelerate customer adoption. Responsibilities include developing ML/RL for code generation/optimization, creating ML compiler techniques, building validation tools, and designing high-performance kernels. The role involves working with customers, engineering teams, and research communities to advance ML systems, with a focus on inference performance and training cost optimization. | ServeData | 7 |
| Machine Learning Engineer, WWPS ProServe Delivery Team Machine Learning Engineer role focused on designing, implementing, and scaling Generative AI solutions for enterprise customers on AWS. The role involves working directly with customers to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. It emphasizes customer success and driving AI transformation. | ShipPost-train | 7 |
| Applied Scientist, Amazon Private Brands Applied Scientist role focused on designing and building innovative machine learning solutions for Amazon Private Brands discovery, driving customer awareness and product discovery. The role involves end-to-end project ownership, from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will propose new algorithms, overcome technical limitations, and present findings to leadership. | Ship | 7 |
| 2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting PhD student internship focused on Automated Reasoning for cloud computing, involving research into novel approaches, development of solutions, and deployment into production. Expertise sought in theorem proving, SAT/SMT solvers, program analysis, and synthesis, with a potential link to ML/LLMs. | Agent | 7 |
| Sr. Applied Scientist , Amazon This role focuses on building and deploying machine learning models to improve customer experience through personalized recommendations on Amazon's retail website. The scientist will leverage large-scale data and computing resources to understand customer behavior, develop state-of-the-art recommendation models, and measure their impact on the business. | Ship | 7 |
| Applied Scientist II, WW Sustainability This role focuses on building the AI/ML foundation for sustainability initiatives, involving data and AI/ML infrastructure implementation, data pipeline development, and establishing ML Ops best practices. The goal is to support various sustainability efforts like carbon footprinting and climate risk monitoring. | Data | 7 |
