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 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1550 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 (996 roles), Canada (60 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 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Software Development Engineer, Alexa AI Developer Tech Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a generative AI-powered assistant. The role involves developing and maintaining features for LLM-based experiences, working on distributed systems with sub-ms latency at Amazon scale, and establishing architectural principles. | Serve | 7 |
| Software Development Engineer, Alexa AI Developer Tech Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles. | Serve | 7 |
| Software Development Engineer, Alexa AI Developer Tech Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles. | Serve | 7 |
| Software Development Engineer, Alexa AI Developer Tech Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles. | Serve | 7 |
| Manager, AI Platform Engineering , Agent Platform Organization Manager of AI Platform Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for analytics, science, and AI initiatives. The role involves owning delivery and operational health, mentoring a team, and evolving self-service offerings towards agent-driven approaches. The team will build multi-agent solutions to automate data engineering and BI tasks, and develop/deploy agents for analytics use cases like monitoring and anomaly detection. Collaboration with business intelligence, applied science, and product teams is key. | AgentData | 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 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 7 |
| AI Benchmarking Lead, Performance Benchmarking Evaluation This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers. | Eval Gate | 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 |
| Senior Applied Science Manager, CMT Senior Applied Science Manager at Amazon, leading teams of applied scientists and ML engineers to develop and deploy large-scale AI/ML solutions for competitive pricing and e-commerce. The role involves defining technical roadmaps, mentoring teams, and working with new technologies including generative AI, while ensuring operational stability and customer experience. Requires experience in building ML solutions at internet scale, translating business requirements, and managing scientific rigor through experimentation and A/B testing. Opportunity to publish research and establish ML best practices. | Ship | 7 |
| Senior Applied Scientist, Insights, Prime Video Senior Applied Scientist role focused on developing machine learning algorithms for high-scale recommendations problems within Prime Video. The role involves designing, prototyping, and integrating ML models into production systems, with a focus on generative AI and large models to reduce operational load and deliver personalized recommendations. | Ship | 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 |
| Software Dev Engineer Intern Machine Learning, Amazon Robotics Software Development Engineer Intern Machine Learning, Amazon Robotics. The role involves simplifying ML training infrastructure, extending monitoring of ML trainings, and potentially developing perception models for warehouse robots. It requires experience with AI, Neural Networks, Tensorflow, and PyTorch, and focuses on building scalable ML solutions within a robotics context. | Data | 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 |
| 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 owning the data lifecycle and building multi-agent solutions to automate data engineering tasks, with contributions to the shared data platform. | AgentData | 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, JST Science Applied Scientist role focused on designing, implementing, and delivering machine learning models for Amazon's Japanese customer experience in areas like Search, Personalization, and Delivery. The role involves innovating new models, analyzing data, publishing research, and integrating solutions into production systems with a focus on both performance metrics and millisecond response times. | Ship | 7 |
| SDE I FTC, RSPT Software Development Engineer I (SDE I) role focused on building Gen AI solutions for freight logistics, including carrier-facing features and internal tools to boost developer productivity. The role involves end-to-end software delivery, leveraging technologies like Agentcore and Bedrock, and optimizing pricing algorithms within Amazon's middle-mile network. | 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 |
| 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 Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) Senior Applied Scientist role focused on developing and productionizing media planning models and solutions for Amazon Ads. The role involves leveraging various ML techniques, including deep learning, generative AI, causal inference, NLP, and computer vision, to provide measurement insights and optimize advertising outcomes. It requires collaboration with engineering, product management, and business teams, and includes mentoring junior scientists and engaging with the scientific community. | Ship | 7 |
| Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) This role focuses on developing and implementing innovative media planning and measurement solutions within Amazon Ads. It involves creating end-to-end ML/DL models, from inception to production, to provide insights and recommendations for advertisers. The role requires a strong foundation in ML/DL, experience with productionizing models, and the ability to work with large datasets and collaborate with cross-functional teams. | ShipAgent | 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 (Java/AWS), Alexa AI Software Development Engineer (Java/AWS) for Alexa AI team, focusing on building and delivering innovative consumer software products and industry-leading conversational assistant capabilities. The role involves owning large-scale customer-facing features, designing and architecting innovative consumer products, and contributing to the core runtime orchestration platform for conversational agents using LLMs and Gen AI. | AgentServe | 7 |