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 |
|---|---|---|
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models to enhance last-mile delivery operations within Amazon Logistics. The Process Analyst will work at the intersection of operations, analytics, and automation, developing and deploying intelligent systems for forecasting, capacity management, and decision support. The role involves translating operational challenges into automated solutions using SQL, Python/R, and AI/ML capabilities, creating intelligent dashboards, predictive models, and automated reporting systems. It requires partnering with Data Science and Engineering teams to deploy AI/ML solutions into production and evaluating emerging AI technologies. The position emphasizes leading AI/automation projects from conception to scaling, balancing business requirements with technical feasibility, and influencing cross-functional teams. | Agent | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services |
| Agent |
| 7 |
| Software Development Engineer, Middle Mile Disruption Detection and Execution Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders. | Agent | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior Solutions Architect for Generative AI and ML workloads in the Automotive & Manufacturing sector, focusing on customer adoption of AWS services. This role involves translating business challenges into technical solutions, designing and deploying architectures, engaging with enterprise customers and partners, and providing feedback to product teams. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, agents, and AIOps, along with strong business acumen for customer engagements. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Management Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team. | Agent | 7 |
| Member of Technical Staff, Data Platform , AGI Backend engineer responsible for building and operating core services that ingest, process, and distribute large-scale, multi-modal datasets to internal tools and data pipelines for an AGI research lab. Focuses on designing backend architecture, defining operational standards, and ensuring production health, performance, and observability. | Data | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. | Agent | 7 |
| Data Scientist II (ADBL175) Data Scientist II at Audible (Amazon) focused on building production-ready LLM solutions and recommendation systems. Requires a Master's degree and 2+ years of experience in data science, ML modeling, Python/R, and non-linear models. Experience with LLMs (programmatic access, evaluation, fine-tuning), recommendation systems, and SQL/ETL is required. | ShipPost-train | 7 |
| Software Development Engineer, JWO Software Development Engineer role within AWS Applied AI Solutions focused on building and scaling the Machine Learning platform for Just Walk Out (JWO) Technology. This involves working with computer vision, image recognition, machine learning, and distributed systems to power checkout-free shopping experiences. The role requires strong software engineering skills, including full-stack development, and experience with Java and AWS services. | Serve | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience. | Agent | 7 |
| Software Dev Engineer Intern, OpenSearch, 2026 Shanghai Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems. | AgentServe | 7 |
| Software Development Engineer, Ring Cloud Computer Vision Software Development Engineer role focused on building and scaling AI-powered computer vision cloud services for Ring consumer electronics, serving tens of millions of users globally. Responsibilities include product definition, design, development, deployment, and operations of highly available and resilient cloud services. | Serve | 7 |
| Applied Scientist II, Amazon Fulfillment Technology (AFT) Science Applied Scientist II at Amazon Fulfillment Technology (AFT) Science, focusing on developing production solutions for Amazon's Fulfillment Network using operations research, optimization, statistics, machine learning, and GenAI/LLM. The role involves designing, building, and deploying scalable mathematical models and optimization-driven solutions to improve process efficiency and associate experience within the fulfillment network. Collaboration with scientists, software engineers, and product managers is key, with a focus on translating research into production systems. | Ship | 7 |
| Machine Learning Engineer II, Special Projects Machine Learning Engineer II on an Amazon Special Projects team focused on creating new products and services using Generative AI and LLMs. Responsibilities include developing and maintaining platforms for LLM development, evaluation, and deployment, processing large datasets, scaling models, and optimizing performance. Experience with distributed model training is required. | ServePost-train | 7 |
| Senior Manager, Applied Science, Network Planning Solutions Senior Manager role focused on leading AI/ML innovation for network planning solutions, involving demand forecasting and network optimization algorithms. The role requires developing and deploying production-ready models, architecting scalable AI/ML infrastructure, and driving scientific innovation from research to production, ultimately translating AI/ML capabilities into measurable business outcomes. It emphasizes leading a team of applied scientists and collaborating with cross-functional partners. | ShipData | 7 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models at scale. The individual will act as a trusted advisor, architecting solutions, supporting adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs The Sr. Software Development Manager will lead a team of compiler engineers developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium ML accelerators. This role involves deep knowledge of resource management, scheduling, code generation, and optimization for new instruction architectures, with a focus on delivering high-performance, low-cost ML inference and training solutions for AWS customers. | Serve | 7 |
| Data Scientist, SPX AI Lab, SPX Science The role focuses on applying advanced analytical, statistical, and machine learning techniques to improve Amazon's Selling Partner experience through a Generative AI-powered conversational assistant. Responsibilities include analyzing seller pain points, evaluating feature performance, designing measurement frameworks (A/B testing, causal inference), applying NLP and statistical modeling to unstructured data, and partnering with cross-functional teams to influence product roadmaps. The goal is to enhance the Selling Assistant by responding to seller feedback and implementing fixes in the GenAI solution. | Ship | 7 |
| Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization Software Engineer focused on performance optimization for distributed training of large-scale AI/ML models (LLMs, multi-modal) on AWS Neuron accelerators. This involves tuning across the software stack, including collective communications, memory utilization, compiler optimizations, and kernel performance, working with PyTorch and JAX. | ServePost-train | 7 |
| Applied Scientist, Amazon Ads, Demand Forecasting & Guidance Applied Scientist role at Amazon Ads focusing on Generative AI, AI Agents, and large-scale ML for demand forecasting. Responsibilities include leading ML initiatives, developing and optimizing forecasting models, building and deploying ML models, designing A/B experiments, establishing scalable ML infrastructure, and researching innovative ML techniques. Requires 3+ years of model building experience, a PhD or Master's with 4+ years of experience in a related field, and programming experience in Java, C++, or Python. Preferred qualifications include experience with experimental design and deep learning frameworks. | ShipServe | 7 |
| ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs The role focuses on optimizing the performance of machine learning kernels for AWS's custom ML accelerators (Inferentia and Trainium) by developing and implementing high-performance compute kernels, optimizing compiler optimizations, and analyzing kernel-level performance. This involves working at the hardware-software boundary to ensure optimal performance for deep learning and GenAI workloads. | Serve | 7 |
| Software Development Engineer 2, Amazon Business Software Development Engineer 2 role on the Unified Risk Evaluation System team at Amazon Business, focusing on fraud prevention and risk management using machine learning and scalable systems to process billions of transactions globally. The team builds self-service capabilities for ML model experimentation and manages numerous risk use cases. | Ship | 7 |
| Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Seeking a Software Engineering Manager to lead a team developing compiler optimization algorithms and deploying a new compiler for AWS custom hardware (Inferentia and Trainium chips). The role involves technical leadership, mentoring, and partnering with AWS ML services teams to improve deep learning model performance and productivity. | Serve | 7 |
| Sr Applied Scientist, Amazon Shipping Lead ML teams building large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The role involves setting scientific direction, mentoring scientists, and delivering production-grade ML solutions at scale, using techniques like deep learning and reinforcement learning. | Ship | 7 |
| Software Development Engineer II, AI/ML Elastic Collectives - Annapurna Labs Software Development Engineer II at Amazon's Annapurna Labs, focusing on distributed AI/ML systems and collective operations for scaling AI across multiple accelerators and servers. The role requires strong C/C++ and Linux skills, with experience in embedded systems, high-speed networking, or HPC interconnects being valuable. This position is on the forefront of AI/ML, working with large-scale clusters and models within AWS's EC2 infrastructure. | Serve | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs This role is for a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, focusing on the development and scaling of a compiler for ML accelerators. The role involves architecting and implementing features for a deep learning compiler stack that optimizes neural network performance on custom AWS hardware, integrating with frameworks like PyTorch and TensorFlow. The goal is to provide significant performance improvements for large-scale ML workloads. | Serve | 7 |
| Senior Applied Scientist, Amazon Industrial Robotics Senior Applied Scientist role focused on developing next-generation advanced robotics systems that combine AI, control systems, and mechanical design for automation at Amazon's scale. The role involves research and implementation of deep learning and LLMs for robotics, with a focus on simulation, physics-based modeling, and sim-to-real gap reduction. | Ship | 7 |
| Software Development Manager, Neuron Tools, Annapurna Labs Software Development Manager for AWS Neuron Tools team, responsible for leading engineers to develop and maintain high-performance monitoring and profiling tools for AI accelerators (Inferentia, Trainium). The role involves managing the full development lifecycle of the Neuron Profiler, ensuring scalability, reliability, and usability, and collaborating with cross-functional teams to optimize AI workloads. Experience with ML-specific profiler tools and performance analysis is required. | Serve | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. | Agent | 7 |
| Applied Scientist II, Amzn Shipping-Prd & Tech Applied Scientist II at Amazon Shipping focused on building production-quality ML models for transportation logistics. This role involves improving package movement planning and execution by addressing challenges in cost auditing, financial data quality, delivery delay prediction, and first-mile shipping cost reduction. The scientist will utilize various ML paradigms, ensure scalability across regions, and contribute to the ML community through publications and mentorship. | Agent | 7 |
| Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS) Senior Manager, Applied Science for Marketing Measurement and Performance Science (MAPS) at Amazon. This role focuses on building scalable ML and causal inference solutions to estimate marketing effectiveness and provide insights for marketing teams. It involves leading a team of scientists, developing end-to-end causal inference models, and influencing multi-billion dollar investment decisions. The role requires expertise in ML/DL, statistics, economics, and handling large datasets at scale, with a focus on delivering data-driven solutions that impact business strategy and customer behavior. | Ship | 7 |
| Manager, Software Development, Alexa AI, Alexa AI India Manager, Software Development for Alexa AI in India, focusing on speech and language solutions. The role involves leading a team to pioneer ML tools and processes, build scalable applications, and contribute to system architecture and technical vision for Alexa AI. | Serve | 7 |
| Software Development Engineer, Amazon Ads Software Development Engineer role focused on applying Generative AI and LLMs to enhance Amazon Ads, improving ad retrieval, allocation, and recommendations for a personalized shopping experience. The role involves building large-scale distributed systems and data pipelines, collaborating with scientists and product managers, and driving operational excellence. | AgentServe | 7 |
| Applied Scientist, Private Brands Discovery Applied Scientist role focused on designing and building machine learning solutions for customer discovery of Amazon's Private Brands. The role involves end-to-end project management from ideation to launch, with a strong emphasis on causal ML, deep learning, and deploying models to production. The goal is to drive customer awareness and product discovery, impacting Amazon's own brands and contributing to broader discovery solutions across the company. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |