Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
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 |
|---|---|---|
| Software Development Engineer - Trust and Privacy, Devices & Services Trust, Privacy, and Accessibility (TPA) Software Development Engineer to architect and scale Gen AI-powered platforms and development tools that champion trustworthy customer experiences, privacy-by-design principles, and organizational trust at scale. This role will help set the standard for how privacy and trust technologies are implemented across D&S, driving end-to-end adoption of solutions that make trustworthy customer experiences the automatic choice for teams across Amazon. | Agent | 7 |
| Applied Scientist II, Sponsored Products and Brands Applied Scientist II role at Amazon Ads focusing on Sponsored Products and Brands, specifically the Search Ranking and Interleaving (R&I) team. The role involves developing and applying GenAI and ML techniques to optimize ad ranking, allocation, and relevance on the search page. Key responsibilities include building real-time ML algorithms for ad auctions, developing multi-objective optimization methods, and researching new ML approaches to improve shopper experience and drive revenue. The role requires experience in building models for business applications and applying theoretical models in practice. |
| ShipServe |
| 7 |
| Software Development Engineer, ML Systems, Annapurna Labs Software Development Engineer focused on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Trainium and Inferentia). The role involves working with external and internal customers to identify obstacles and opportunities for accelerating adoption, and transforming service performance, durability, cost, and security. | Serve | 7 |
| Software Development Engineer, ML Systems, Annapurna Labs Software Development Engineer focused on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Trainium and Inferentia). The role involves working with external and internal customers to identify obstacles and opportunities for accelerating adoption, and transforming service performance, durability, cost, and security. | Serve | 7 |
| Navigation Science Manager, Prime Air Manager for Navigation Science team at Amazon Prime Air, focusing on developing advanced navigation algorithms and flight software for delivery drones. Requires leadership experience, strong programming skills, and experience with agile development. The role involves defining system architectures, contributing to flight algorithms, and driving innovation in a safety-critical environment. | Ship | 7 |
| Applied Scientist Intern, International Technology, 2026 Beijing The Applied Scientist Intern will work on improving Amazon's product search service by designing and integrating machine learning models using TB-scale data. The role involves balancing business metrics and response times, and requires a PhD student in Computer Science, AI, ML, or related fields with experience in ML experiment design, statistical analysis, and coding. | ServeData | 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, using methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. The Language Engineer will design data collections, create tasks, analyze data, build tools for data analysis/creation, and collaborate on AI model performance evaluation. | Data | 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. Responsibilities include designing data collections, creating data using state-of-the-art methods, analyzing data, building tools for data analysis/creation, and collaborating on AI model performance evaluation. | Data | 7 |
| Software Development Engineer, AWS Agentic AI Software Development Engineer role focused on building a new Generative AI application (QuickSuite) for enterprises within AWS. The role involves translating requirements into deliverables, prototyping, designing, developing, and deploying scalable services, and mentoring junior engineers. It's an early-stage initiative with a focus on solving complex technical challenges in AI. | Agent | 7 |
| Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Machine Learning Engineer role focused on optimizing and tuning inference performance for AWS Neuron accelerators, specifically for large language models (LLMs) and other key ML model families. The role involves developing and performance tuning building blocks for the distributed inference library, ensuring high performance and efficiency on Trn2 and Trn3 servers. Requires experience with LLM inference optimization, kernels, Python, PyTorch, or JAX. | Serve | 7 |
| Principal Engineer, AWS Builder Acceleration Principal Engineer role at Amazon AWS Builder Acceleration focused on leveraging GenAI and advanced AWS technologies to simplify the software development, deployment, and maintenance lifecycle for AWS engineers. The role involves defining technical strategy, identifying high-impact problems, developing roadmaps, and pioneering AI-powered builder experiences at AWS scale. | Agent | 7 |
| Senior Applied Scientist, Amazon Stores Economics & Science (SEAS) Senior Applied Scientist role focused on applying optimization, statistical learning, and algorithm development to solve complex supply chain and marketplace problems within Amazon's Stores organization. The role involves leading science initiatives from research to production, designing algorithms for mechanism design, and influencing technical strategy. | Ship | 7 |
| Software Development Manager, Seller and AM Gen AI Solutions, ISS Software Development Manager to lead an engineering team building generative and agentic AI-powered products and tools for Amazon Sellers and Account Managers, aiming to transform workflows and improve seller success. | Agent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required. | DataAgent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required. | DataAgent | 7 |
| Software Development Engineer II, Alexa AI Developer Tech Software Development Engineer II role focused on building AI-native experiences for Alexa+ using generative AI and LLMs, empowering third-party partners to create engaging customer experiences. The role involves developing software for millions of devices, focusing on architecture, quality, and engineering best practices. | Ship | 7 |
| Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science This role is for an AI Platform Builder, a Data Engineer focused on developing Platforms and Agentic AI solutions. The role involves designing, implementing, and maintaining data pipelines and platforms that power AI/ML initiatives, using AI for code generation, optimization, and building AI-native self-service data platforms. It emphasizes prompt-driven development and creating self-improving systems. | AgentData | 7 |
| Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning This role is for a Senior SoC Power Engineer focused on developing and optimizing power consumption for machine learning accelerators (Inferentia and Trainium SoCs) within AWS. The engineer will be responsible for power analysis and modeling from RTL to netlist, identifying power saving opportunities, and correlating simulation results with lab measurements. This is an engineering role focused on the hardware infrastructure that powers AI workloads. | Serve | 7 |
| Applied Scientist II, Central Machine Learning This role focuses on building and deploying advanced machine learning models for consumer business applications, optimizing business operations and profitability. It involves end-to-end ownership from data analysis and model development to implementation and scaling, with a strong emphasis on creating automated processes for model lifecycle management. | AgentServe | 7 |
| Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Software Engineering Manager to lead a team focused on machine learning compiler design and development for AWS Neuron, driving optimization techniques, hardware bring-up, and influencing pre-silicon design decisions to accelerate ML infrastructure. | Serve | 7 |
| Machine Learning Performance Engineer, Annapurna Labs This role focuses on optimizing the performance of the AWS Neuron software stack, which supports Generative AI and ML workloads on AWS's custom ML accelerators (Inferentia and Trainium). The engineer will analyze ML workloads, develop high-performance kernels, enhance the Neuron SDK, and collaborate with compiler, frameworks, and hardware teams to maximize end-to-end performance. Responsibilities include instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements, with a focus on ML inference and training performance. | Serve | 7 |
| Software Development Engineer, Alexa AI Software Development Engineer role focused on building and delivering consumer-facing conversational assistant features using advanced LLM techniques like fine-tuning and prompt optimization for Alexa AI. | Post-train | 7 |
| AI Language Engineer, Artificial General Intelligence - Data Services The role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-supported generation, and human-in-the-loop approaches. Responsibilities include designing data collections, creating data with synthetic and model-based methods, analyzing data, building tools for data analysis/creation, and collaborating to evaluate AI model performance. | Data | 7 |
| Sr. Manager, Applied Science, Supply Chain Optimization Technologies Sr. Manager of Applied Science with expertise in Statistical Machine Learning and/or Reinforcement Learning to drive research, development, and deployment of AI technology for supply chain optimization. The role involves managing a team of scientists, focusing on next-generation solutions for buying, placement, and fulfillment decisions, and translating customer needs into reusable software infrastructure. Key responsibilities include leading innovation in RL applications, building and developing a high-performing team, bridging technical possibilities with business requirements, and driving cross-functional collaboration. | ShipPost-train | 7 |
| Sr. Applied Scientist, Classification and Policy Platform Applied Scientist role focused on building machine learning models and technology to automatically monitor and classify billions of products in the Amazon catalog, ensuring compliance and safety. The role involves working with large datasets, deep learning for search matching and ranking, filtering, indexing, and document understanding, with a focus on delivering customer-facing experiences at Amazon scale. | ShipAgent | 7 |
| Machine Learning Compiler Engineer The Machine Learning Compiler Engineer will work on the Amazon Neuron team to develop and scale a deep learning compiler stack for Amazon's custom ML accelerators (Inferentia and Trainium). This role involves optimizing neural network models for inference and training performance, integrating with ML frameworks, and contributing to the software stack that enables large-scale ML workloads. The engineer will be involved in pre-silicon design and bringing new features to market. | Serve | 7 |
| Sr. Data Scientist, Amazon Pay Data Products Senior Data Scientist at Amazon Pay to lead innovation in machine learning and artificial intelligence solutions, focusing on multi-agent systems and Generative AI applications. The role involves end-to-end ML project leadership, MLOps pipeline development, and deployment of ML solutions, with a secondary focus on inference infrastructure. | AgentServe | 7 |
| Senior Language Engineer, Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating AI models, utilizing synthetic data generation, model-based generation, and human-in-the-loop approaches. The Senior Language Engineer will define data creation strategies, lead complex data collections, and analyze large datasets. They will also build tools for data analysis and creation, and collaborate with scientists to evaluate AI model performance. | Data | 7 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning acceleration systems. The engineer will work on the firmware that drives neural network model execution on custom silicon, collaborating with hardware design teams. While no prior ML knowledge is required, the role is core to enabling ML infrastructure. | Serve | 7 |
| 2026 Applied Science Internship - United States - Master's Student Science Recruiting Master's student internship focused on applying machine learning, NLP, computer vision, automated reasoning, or robotics to design and develop end-to-end systems for Amazon Science. The role involves working with large datasets, implementing systems, and potentially deploying solutions into production. | Ship | 7 |
| MTS, Data Infra , AGI The role focuses on building and maintaining a Spark-based infrastructure for processing large multimodal datasets critical for machine learning research, specifically for state-of-the-art agents within the AGI Autonomy organization. It involves data extraction, transformation, and creating tooling for researchers, with a secondary focus on agent development. | DataAgent | 7 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on developing and launching end-to-end AI solutions, specifically recommendation systems leveraging generative models, for Amazon's Sponsored Products and Brands advertising platform. The role involves defining science vision, designing experiments, and collaborating with engineering and product teams to improve advertiser and shopper experiences. | Ship | 7 |
| Senior Software Development Engineer, Luna Gen AI Senior Software Development Engineer role focused on building Gen AI native games and gameplay experiences, and enhancing internal team productivity through agentic solutions. The role involves architecting, developing, and operating infrastructure for proprietary and third-party models, building intelligent agents, and optimizing AI solutions for performance and cost. It also includes leading internal GenAI adoption and ensuring enterprise-grade security and responsible AI. | AgentServe | 7 |
| Sr. Applied Scientist, Last Mile Science The Sr. Applied Scientist role in Amazon Logistics focuses on optimizing last-mile delivery operations through the development and application of machine learning models and algorithms. The role involves estimating costs, improving metrics, developing scalable processes, and working with technology teams to build new tools and systems that impact customer experience and delivery efficiency. It requires a PhD or equivalent experience in a quantitative field and strong analytical and program management skills. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication. | Ship | 7 |
| 2026 Data Scientist Internship , Amazon University Talent Acquisition MS student internship focused on building and deploying machine learning models for Amazon's business problems, with potential for worldwide scale. The role involves working with large datasets and cloud technology, and defining metrics for customer satisfaction. | Ship | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS, covering the entire vertical stack from silicon to system. The engineer will develop and execute validation strategies, conduct hands-on bring-up and debug, and collaborate with various teams to ensure the quality and performance of AI/ML accelerators used in AWS data centers for AI training and inference. | Serve | 7 |
| Zappos Data Scientist III, Zappos/Shopbop Catalog Engineering Data Scientist III on the Shopbop/Zappos Catalog Tech team responsible for designing and implementing ML approaches to improve product catalog data quality, automate data capture and classification, and integrate ML models into production systems. The role involves working with computer vision and NLP, and influencing product decisions through data-driven insights. | ShipPost-train | 7 |
| Sr. MLE, Prime Video - Personalization and Discovery Senior Machine Learning Engineer role focused on developing and launching AI solutions for Prime Video's recommendation and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves end-to-end ownership, experimental design, and collaboration with cross-functional teams to impact millions of customers. | Ship | 7 |
| Senior SDE, Luna Gen AI Senior Software Development Engineer to join the Gen AI & Strategic Initiatives team for Amazon Luna. The role involves architecting and building next-generation tools and platform infrastructure to support proprietary and third-party AI models, enabling Gen AI native games and enhancing internal team productivity through agents. Responsibilities include driving platform architecture, building scalable API infrastructure, launching cross-functional agents, optimizing performance, supporting developer experience, implementing observability, designing throttling systems, ensuring security and compliance, and driving operational excellence. | Agent | 7 |
| Sr Software Dev Engineer, Machine Learning, Sponsored Products and Brands Ads Response Prediction This role focuses on enhancing the scalability, automation, and efficiency of large-scale training and real-time inference systems for Amazon Ads' Sponsored Products and Brands. The engineer will pioneer LLM inference infrastructure and work with applied scientists to optimize ML models and infrastructure, implementing end-to-end solutions. The team builds advanced ML models and infrastructure, from training to inference, including LLM-based systems, to deliver relevant ads. | ServePost-train | 7 |
| Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs Software Engineer role focused on building and optimizing the AWS Neuron compiler for custom AI chips (Inferentia and Trainium). The role involves transforming ML models (PyTorch, TensorFlow, JAX) into optimized code for these accelerators, with a focus on large language models and diffusion models. Requires strong software engineering skills, particularly in C++, and experience with compiler technologies is preferred. | Serve | 7 |
| Applied Scientist II, Translation Services Applied Scientist II role focused on designing and developing LLM-based machine learning solutions for language translation services at Amazon. The role involves applying expertise in LLMs, conducting data analysis, and evaluating new modeling techniques to improve translation accuracy and efficiency for millions of customers across 130+ locales. The team is leveraging Gen AI to build scalable solutions from scratch. | Post-train | 7 |
| Applied Science Manager, Sponsored Products and Brands Ads Response Prediction Manage a team of Applied Scientists, ML Engineers, and Software Development Engineers to develop science and engineering roadmaps for SPB ads CTR prediction using ML and Gen AI solutions. The role involves hiring, developing talent, and staying informed about scientific publications and industrial research trends. The team focuses on personalized shopping experiences through ML and GenAI solutions for response prediction and session-level understanding to optimize ad serving, targeting, sourcing, and bidding. | ShipPost-train | 7 |
| Sr. Manager, Applied Science, Sponsored Products and Brands This role leads science and engineering for AI-powered sponsored product ads in offsite shopping experiences, focusing on generative AI and large-scale ML solutions. The goal is to revolutionize advertising by bridging human creativity with AI, impacting ad creation, optimization, performance analysis, and customer insights. The role involves extending campaigns to reach customers off-store and on third-party sites, working with external and internal partners, and driving results at scale with a GenAI-first approach. It requires significant experience in building large-scale ML/AI solutions and people management. | Ship | 7 |
| Sr. Post-Silicon Systems Software Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS, covering the full vertical stack from silicon to system. The engineer will be responsible for developing validation strategies, executing test plans, debugging hardware and software, and collaborating with cross-functional teams to ensure the quality and performance of AI/ML accelerators used in AWS data centers. | Serve | 7 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building next-generation personalized shopping experiences at Amazon using LLMs, transformer models, and large-scale ranking systems. The role involves innovating features and models, leading science innovation, driving the science roadmap, and mentoring scientists. It aims to create a personalized shopping experience tailored to customer intent and product catalog understanding. | ShipAgent | 7 |
| Sr.System Development Engineer, AGI Infrastructure The AGI team is seeking engineers to develop and maintain multi-modal and multi-lingual LLMs using scalable training and inference systems. The role involves deeply understanding technology landscapes, evaluating new technologies, and driving operational excellence. Key responsibilities include leading the design and automation of GenAI training compute infrastructure, mentoring engineers, identifying performance bottlenecks, and working with core AWS services, CI/CD pipelines, and Kubernetes. | Serve | 7 |
| Applied Scientist, Central Machine Learning Applied Scientist role focused on building and deploying machine learning models for Amazon's consumer businesses. Responsibilities include analyzing large datasets, designing and evaluating scalable models, and collaborating with engineering teams for real-time implementation. The role emphasizes end-to-end ownership of business problems and optimizing operations through ML. | ShipServe | 7 |
| Sr. Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon Annapurna Labs focused on leading a technical team to develop profiling and optimization tools for the Neuron ML accelerators fleet. The role involves working with hardware and software teams to identify bottlenecks and provide recommendations for improving performance of large ML workloads, including custom kernels. | Serve | 7 |