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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 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 (1022 roles), Canada (59 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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Training Specialist, AGI-DS Knowledge Management Team This role focuses on training delivery and management within an AI organization, specifically for the AGI-DS Knowledge Management Team. The Senior Training Specialist will facilitate blended learning, manage learning systems, track training completion, and identify areas for improvement to scale training approaches. While the role is within an AI context and uses AI tools, its core function is training and development, not direct AI/ML model development or deployment. | — | 5 |
| Data Scientist, Rapid & Rural Logistics (R2L) Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves identifying and prioritizing complex business problems, translating them into data science problems, and designing, developing, and evaluating innovative statistics and ML models. It also requires establishing scalable processes for data analysis, model development, validation, and implementation, with a goal to improve customer experience, product availability, and reduce supply chain costs. | Ship |
| 5 |
| Data Scientist, ADE Analytics Data Scientist on the Alexa Daily Essentials team, focusing on analyzing complex data, developing statistical methodologies, and providing product insights to shape solutions. Responsibilities include problem-solving through data analysis and modeling, building data pipelines, acquiring data via SQL/ETL, and communicating complex ideas to technical and non-technical audiences. | Data | 5 |
| Software Dev Engineer II Software Development Engineer II at Amazon, focused on building the platform for designing and managing Amazon's global transportation network. The role involves calculating capacity, predicting gaps, identifying at-risk packages, and responding to real-time disruptions. It utilizes AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving planning and execution, and contributing to talent development and operational excellence. | Agent | 5 |
| Network Development Manager III, Operations Technology Networking This role is for a Network Development Manager at Amazon, leading a team responsible for designing, planning, and delivering global network infrastructure for Amazon's fulfillment, transportation, and grocery sites. The role involves driving the integration of networking technologies, managing vendor relationships, and scaling network architectures. A key aspect is championing the integration of AI and machine learning to enhance network automation and operations, and promoting the adoption of AI-powered tools and generative AI for network operations. | — | 5 |
| Full-Stack Software Engineer, Interests AI (CoreCX) Full-Stack Software Engineer role focused on building AI-powered personalized discovery experiences for Amazon customers. The role involves designing, developing, and operating features across web and mobile surfaces, with a strong emphasis on personalization and generative AI. | Ship | 5 |
| Sr. Solution Architect, Amazon Shipping Senior Solution Architect for Amazon Shipping, focused on driving enterprise customer launches by designing and implementing complex integrations. The role involves technical expertise in pre-sales and post-sales, customer advisory, and hands-on execution, including leveraging AI tools for troubleshooting. | — | 5 |
| Software Development Engineer, Middle Mile P&O Software Development Engineer II role focused on building intent-based automation and optimization algorithms for transportation network disruptions. The role involves designing and developing scalable distributed systems, machine learning models for forecasting, scheduling, and route planning, and orchestrating optimal route corrections. It operates at a large scale within Amazon's middle-mile transportation network. | Agent | 5 |
| Brand Designer, Amazon Leo Brand Designer for Amazon Leo, a satellite network, responsible for creating visual components and campaign identity systems. The role involves working across mediums, defining the look and feel of campaigns, and leveraging generative AI tools to enhance creative workflows. | — | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses. | Data | 5 |
| Software Development Engineer, CAM Software Development Engineer role focused on building automation and AI/ML solutions, including LLMs, to support Amazon's Retail Business Services. The role involves designing and developing large-scale distributed systems, solving complex business problems, and ensuring the quality and comprehensiveness of Amazon's catalog. Emphasis on innovation, operational excellence, and collaboration with Applied Scientists. | Ship | 5 |
| Senior Finance Data Analyst This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models. | — | 5 |
| Senior Data Associate with German, AGI Data Services This role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLMs, focusing on quality, accuracy, and confidentiality. The associate will use in-house tools, analyze data patterns, identify process improvements, and provide floor support. The goal is to contribute to Amazon's responsible AI development. | Data | 5 |
| Senior Software Developer, AWS Distributed SQL Senior Software Developer role focused on improving the developer experience for Amazon Aurora Distributed SQL, particularly in the context of AI-assisted development and agentic applications. The role involves leading technical strategy, architecture, and delivery of tools, documentation, and integrations to make DSQL easier for developers and AI agents to use. | — | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon on the Selection Monitoring team, responsible for processing billions of products to algorithmically identify and add new products to the Amazon catalog. The role involves applying ML/DL algorithms, building Information Retrieval systems, and working with large-scale distributed systems, Big Data, and AI technologies to improve product information, search, pricing, and delivery experience. | Data | 5 |
| Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering Data Scientist role focused on designing and optimizing complex delivery networks using statistical and machine learning models, experiments, and simulations. The role involves owning the Data Science/ML roadmap, translating business challenges into mathematical models, and delivering scalable solutions. | Data | 5 |
| Data Scientist II - AMZ9658237 This role focuses on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models. It involves using SQL for data acquisition and ETL, and implementing models with considerations for computational demands, accuracy, and reliability. | Data | 5 |
| Manager, Senior Economist, Marketing Measurement Manager, Senior Economist, Marketing Measurement at Amazon. This role leads a team of Economists, Data Scientists, and Applied Scientists to design and build a next-generation marketing measurement system using causal inference and AI. The goal is to provide actionable insights for marketing investment decisions, focusing on incrementality and long-term customer actions across WW marketplaces. The role requires strong leadership, technical expertise in econometrics and AI solutions, and the ability to bridge the gap between technical teams and business stakeholders. | Ship | 5 |
| Sr. Prototyping Architect, PACE, AWS Prototyping and Cloud Engineering This role involves architecting and developing solutions using Machine Learning, Deep Learning, and Generative AI to create prototypes for customers. The focus is on applying software engineering best practices to ensure prototypes can form a foundation for production solutions, within a creative environment that embraces experimentation. The role requires deep technical expertise and collaboration to solve customer problems. | Ship | 5 |
| Senior Power and Performance Architect, Annapurna Labs, Machine Learning Hardware This role focuses on the power and performance architecture for ML accelerators within Amazon's data centers. The Senior Power Architect will design and optimize power solutions, DVFS flows, and power management algorithms for these hardware components, working closely with cross-functional teams. While the hardware is for ML accelerators, the core craft of the role is power and performance engineering, not direct ML model development or deployment. | — | 5 |
| Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems. | Agent | 5 |
| Senior Solutions Architect, Financial Services, Enterprise, Enterprise Senior Solutions Architect for AWS Financial Services in Vienna, focusing on cloud technologies and advising enterprise customers. The role involves solution design, migration strategies, security, and acting as an internal advocate. It emphasizes experience with emerging technologies like Generative AI and Agentic AI, and requires a strong technical background in cloud architecture and financial services. | Agent | 5 |
| Director of Software Development, Amazon Shipping Director of Software Development for Amazon Shipping, responsible for building the technical and process capabilities to manage a large-scale transportation network. The role involves leading a significant team (130+ FTEs) across various functions including engineering, science, and business intelligence, with a focus on improving key customer outcomes like delivery speed, cost reduction, and claims management. While the role mentions AI/ML and managing scientists, its core focus is on the operational and software development aspects of a logistics product, not on core AI/ML model development or research. | — | 5 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on the manufacturing, quality, and reliability of AI servers and systems that use Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators. | — | 5 |
| Software Developer Engineer II, IES LATECH & GIS Software Development Engineer II role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to automate launch strategies and solve local problems for customers and seller partners. The role involves full software development lifecycle, system design, and collaboration with business teams. | Ship | 5 |
| Senior Applied Scientist, Modeling and Optimization Senior Applied Scientist role focused on developing and improving last-mile delivery optimization using algorithms and machine learning. The role involves designing, implementing, and evaluating solutions for large-scale optimization problems, particularly in vehicle routing, and contributing to network planning and analysis to improve efficiency and reduce costs in global fulfillment operations. Requires a strong background in optimization, algorithms, and data structures, with familiarity in ML techniques. | Data | 5 |
| Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & GPU Computing Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS. | Serve | 5 |
| Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware The role is for a Sr. Power Engineer at Amazon's Annapurna Labs, focusing on power delivery for machine learning hardware. Responsibilities include architecting, designing, simulating, and validating power solutions, improving reliability and efficiency, and developing power technology roadmaps. The role requires strong hardware and software integration skills and experience in managing ODMs and leading power design for major technology products. | — | 5 |
| Senior Technical Program Manager, Device Software & Services This role focuses on driving technical program execution for Amazon's device development tools, with a significant emphasis on leveraging AI/ML for automation and enhancing developer productivity. The primary goal is to shape the future of device development by leading cross-functional programs and implementing AI-powered solutions within the development lifecycle, ultimately impacting millions of Amazon devices worldwide. | — | 5 |
| Robotics - Software Development Engineer Intern/Co-op - 2026 Software Development Engineer Intern/Co-op role focused on robotics at Amazon. The role involves designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key aspect is the use and contribution to GenAI and AI-powered tools to improve development productivity, alongside developing software components that interact with robotics, computer vision, and other fulfillment center technologies. | Ship | 5 |
| Robotics - Software Development Engineer Intern - 2026 - Toronto Software Development Engineer Intern role focused on building and operating innovative products and services within Amazon's Robotics division. The role involves designing and developing scalable solutions using cloud-native architectures, contributing to AI-powered tools for development productivity, and working with technologies like robotics, computer vision, and cloud services. | Ship | 5 |
| Senior Delivery Consultant - AI/ML, ASEAN Professional Services Senior Delivery Consultant for AI/ML within AWS Professional Services in ASEAN. Focuses on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and architecting scalable ML solutions. Requires strong business and technology depth in ML, with implementation experience in the cloud. | — | 5 |
| Expert Consultant - Software Engineer, AGI - Data Services This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance. | DataEval Gate | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer for AWS Neuron Foundation Tools Team, responsible for developing and maintaining high-performance monitoring and profiling tools for AI accelerators (Inferentia, Trainium). Focus on optimizing AI workloads by providing insights into performance bottlenecks and system behavior, improving ML Kernels and Frameworks. Manages the full development life cycle of the Neuron Profiler/Tools toolchain, collaborating with cross-functional teams on C++ compiler and runtime, and supporting frameworks like PyTorch, JAX, and XLA. | Serve | 5 |
| Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance This role focuses on developing firmware for power and performance management on ML acceleration chips. The engineer will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems, working closely with hardware architects and focusing on resource-constrained environments. The role involves building instrumentation and tracing capabilities for algorithm development and validation. | — | 5 |
| Software Development Engineer Internship - Fall 2026 (US) This is an internship role for Software Development Engineers at Amazon, focusing on building and operating innovative products and services. Interns will work on scalable cloud-native architectures, participate in code reviews, and contribute to technical documentation. A key responsibility involves leveraging and contributing to GenAI and AI-powered tools to improve development productivity. The role requires experience with at least one general-purpose programming language and data structure/algorithm fundamentals, with a preference for prior internship experience or AI-related experience. | — | 5 |
| Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Software Development Manager for the NKI Compiler Team at Amazon Annapurna Labs, focusing on developing and optimizing a new compiler for AWS custom ML hardware (Inferentia and Trainium chips). The role involves leading a team of compiler engineers to deploy compiler optimization algorithms and a new compiler at scale, targeting AWS ML accelerators. The team works on the AWS Neuron SDK, including an ML compiler and runtime, integrating with frameworks like PyTorch and TensorFlow. The role requires strong leadership, technical expertise in compilers, and collaboration with AWS ML services teams. | — | 5 |
| Director, Applied Science, Stores Economics and Science Director, Applied Science role focused on Stores Economics and Science, leveraging economics, statistics, and machine learning to optimize Amazon's buyer-seller economy. The role involves leading the development of scientific models, collaborating with scientists and engineers on data analysis and validation, and translating analysis into actionable business strategies. It requires strong economic expertise, modern data science tools, and the ability to communicate complex findings to business partners. | Ship | 5 |
| Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team The role focuses on designing and optimizing hardware (ASICs) for AWS's machine learning servers, specifically for inference acceleration. This involves integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and working with various engineering teams throughout the design cycle. | — | 5 |
| ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling (fuzzers, specification synthesis) for an LLVM-based compiler that optimizes ML models for custom ML accelerators (Inferentia/Trainium). Focus on accuracy and reliability of the compiler stack. | Serve | 5 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, applying language skills, and meeting productivity targets. It also includes performing quality audits, reporting results, and adhering to compliance requirements. | Data | 3 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, applying language skills, and meeting productivity targets. It also includes performing quality audits, reporting results, and adhering to compliance requirements. | Data | 3 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets. | Data | 3 |
| ML Data Associate I ML Data Associate role focused on annotating and processing various data types (audio, image, video, text) to create ground truth data for ML product development. Responsibilities include executing annotation tasks, maintaining quality standards, meeting productivity targets, and adhering to compliance requirements. | Data | 2 |
| ML Data Associate-II, Artificial General Intelligence This role focuses on foundational labeling functions for AI, specifically for dialogue evaluation across various data modalities (text, speech, audio, image, video). The associate will deliver high-quality labeled data, analyze root causes of errors, and propose solutions to enhance labeling quality, contributing to the development and deployment of generative AI and LLMs. | Data | 2 |
| ML Data Associate-II, Artificial General Intelligence This role focuses on foundational labeling functions for AI, specifically for dialogue evaluation across various data modalities (text, speech, audio, image, video). The associate will deliver high-quality labeled data, analyze root causes of errors, and propose solutions to enhance labeling quality, contributing to the development and deployment of generative AI and LLMs. | Data | 2 |
| Senior SAP Solution Architect, WWPS Global ISV Partners This role focuses on architecting and implementing SAP solutions on AWS for public sector and regulated industries. While it involves SAP AI services, the core function is IT architecture and cloud migration, not direct AI/ML model development. | — | 2 |
| Senior Business Intelligence Engineer, UK Insights and Innovation This role focuses on designing, implementing, and supporting datasets and BI solutions to provide actionable insights and drive business results. It involves deep data analysis, experimentation design, and partnering with cross-functional teams to identify opportunities and measure innovation initiatives. The role requires strong SQL, Python, and data manipulation skills, along with experience in A/B testing and data visualization. | — | 2 |
| Lead Analytics, ROW Supply Chain Analytics, Research and Product This role focuses on building analytical products and models for supply chain optimization using data analysis, statistics, and machine learning techniques. It involves collaborating with stakeholders, identifying data needs, and driving data quality improvements. | — | 2 |