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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Principal Product Manager - Tech, Viewer Experience, Prime Video Global App Experience The Principal Product Manager, Tech for Prime Video's Viewer Experience will own the end-to-end product, user experience, design, and technology for delivering state-of-the-art entertainment experiences to millions of customers globally. This role involves defining product vision, strategy, and roadmaps, working cross-functionally with science, engineering, design, and other business teams, and making technical decisions. While the role requires experience with AI/ML technologies and familiarity with GenAI/LLM tools, its core focus is on the product delivery of consumer-facing features within the Prime Video app. | — | 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. National Account Manager – Retail Growth Channels, Ring & Blink This role is for a Sr. National Account Manager focused on driving growth for Ring and Blink by establishing new strategic retail partnerships. The role involves identifying and securing partnerships, developing strategic account plans, leading contract negotiations, managing partner relationships, and collaborating with internal teams. While the role mentions leveraging AI tools for market analysis, optimization, and efficiency, the core function is sales and business development, not building or directly shipping AI models or systems. | — | 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 |
| Principal Go-To-Market Specialist, GenAI/ML, AWS This role is a Go-To-Market (GTM) Specialist for Generative AI/Machine Learning within AWS in Korea. The primary focus is on driving the adoption and growth of AWS's GenAI/ML services by developing and executing GTM strategies, identifying customer use cases, and collaborating with sales, partners, and marketing teams. The role involves understanding customer problems, enabling field teams, and bringing market signals back to product teams. It is a customer-facing role focused on business development and sales enablement rather than direct AI/ML model development or engineering. | — | 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 |
| Data Solution Lead Manager, Data Collection Excellence This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions. | — | 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 |
| Data Solutions Lead, Data Collection Excellence This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation. | — | 5 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue growth by helping customers understand and adopt Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate complex AI capabilities into business value and support successful adoption at scale. | — | 5 |
| Principal Product Manager - Kernels, AI/ML, Annapurna Labs The Principal Product Manager will define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library for custom kernel development and optimization on AWS Neuron ML chips. This role involves working backward from customer needs, defining kernel library features, and improving the developer experience for custom kernel development, requiring a deep understanding of compiler systems, kernel optimization, and hardware acceleration. | Serve | 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 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value. | — | 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 |
| Program Manager II, (Alpha/Beta Testing), Ring Insights Program Manager II for Ring Insights, focusing on managing Alpha, Beta, and Delta testing for new products. The role involves leveraging AI-powered analytics tools for data processing, user feedback analysis, and generating insights to drive product launches. Key responsibilities include deploying AI-driven test scenarios, monitoring tester engagement using predictive models, and synthesizing AI-generated reports with qualitative insights to make product recommendations. The role also requires managing stakeholders, ensuring compliance, and coordinating with global teams. | — | 5 |
| Sr. Product Manager - Technical, Alexa Sensitive Content Intelligence (ASCI) This role is for a Senior Product Manager, Technical on the Alexa Sensitive Content Intelligence team. The role involves leading the development and launch of new features related to responsible AI and sensitive content management for Alexa, working closely with engineering, science, and other stakeholders. Responsibilities include product roadmap ownership, customer problem discovery, defining requirements, and managing technical execution. | Ship | 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. Program Manager, Translation Services Operations This role is for a Sr. Program Manager focused on AI strategy and operational efficiency within Translation Services. The primary responsibility is to lead the identification, development, and implementation of AI solutions to optimize translation operations, enhance productivity, and improve quality. The role involves building an AI strategy, developing governance frameworks, identifying improvement opportunities, and driving adoption of AI solutions. While the role leverages AI/ML technologies, it is focused on program management and product delivery rather than core AI/ML development. | — | 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 |
| Sr. Technical Product Manager, Trust CX Innovations Product Manager-Technical to drive trust, privacy, accessibility, and responsible AI initiatives across Amazon's Devices & Services portfolio. Own product strategy and execution for privacy-preserving features, accessibility standards, and RAI frameworks while delivering delightful customer experiences. Combines technical depth with product thinking to shape how millions of customers interact safely and inclusively with AI-enabled devices and services. | Ship | 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 |
| Economist, PXT Central Science This role focuses on applying economics, behavioral science, statistics, and machine learning to identify process improvements within Amazon's People Experience and Technology (PXT) organization. The Economist will work with business partners and engineers to analyze data, estimate models, design pilots, measure impact, and implement solutions at scale, aiming to improve employee outcomes, hiring, development, and retention. | — | 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 |
