Currently tracking 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon 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 1550 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (996 roles), Canada (60 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Ecommerce Operations Manager, Amazon Private Brands Global Sourcing This role is for an Ecommerce Operations Manager at Amazon Private Brands Global Sourcing. The primary focus is on product lifecycle management and leveraging AI technologies to drive operational strategies and improvements. The role involves partnering with cross-functional teams, problem-solving, stakeholder communication, and adopting GenAI and automation solutions for scalable improvements. While the role mentions leveraging AI technologies, it is not a core AI/ML role focused on building or shipping AI models. | — | 5 |
| 2026 Data Science Internship - United States, PhD or Masters Student This internship focuses on data science, machine learning, and data mining, with an emphasis on developing, automating, and running analytical models. The intern will build tools for data analysis, error resolution, and present findings to business partners. Experience with large datasets and statistical grounding is expected. | Data |
| 5 |
| Business Intelligence Engineer, Amazon Selection and Catalog Systems (ASCS) This role focuses on building Business Intelligence (BI) solutions for the Amazon Selection and Catalog Systems (ASCS) team. The primary goal is to create self-service analytical products that provide insights into catalog data, leveraging advanced analytics and AI/ML to drive proactive decision-making and improve business performance. The role involves leading the design, development, and maintenance of reports, dashboards, and metrics, working closely with engineering, product, and program managers to deliver end-to-end data solutions. | — | 5 |
| Sr. Solutions Architect , AI Engineering This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focusing on AI Engineering within the financial services sector. The primary responsibility is to partner with large financial institutions to design and implement scalable cloud architectures using AWS services, helping them adopt and leverage AWS for their business needs. The role involves understanding customer business problems, providing technical guidance, and acting as a customer advocate to enhance AWS services. While the role is within AI Engineering and deals with AI solutions, the core function is solutions architecture and cloud adoption, not direct AI/ML model development or research. | — | 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 |
| Risk Manager II, Relay Trust This role is for a Risk Manager II at Amazon, focusing on preventing fraudulent transactions in their transportation and logistics network. It involves partnering with Product and Tech leaders to develop sophisticated risk models, improve metrics, and manage stakeholders. While it mentions machine learning algorithms, the core function is risk management and program leadership, not direct AI/ML model development. | — | 5 |
| Senior Design Technologist, Prime Video Senior Design Technologist at Prime Video focused on shaping the future of entertainment by building high-quality, functional prototypes for next-generation UX concepts. This role involves hands-on product work, collaborating with design leadership, PMs, and engineers to drive concepts from idea to implementation, and leveraging platform expertise. A key aspect is developing prototypes using AWS Bedrock to envision brand new Gen AI powered experiences for customers, working across TV, mobile, and web clients. | Agent | 5 |
| Senior Technical Program Manager - Security Products, IAM - SEL The Senior Technical Program Manager will drive the scoping and delivery of projects for Security Products, focusing on Access Policy Management systems and applying Machine Learning for abuse detection. The role involves identifying stakeholders, setting roadmaps, managing delivery, and bridging technical gaps across multiple Amazon organizations. | Agent | 5 |
| Principal Tech Program Manager, Personalization The role is for a Principal Technical Program Manager on Amazon's Personalization team, which uses machine learning to tailor customer experiences on Amazon's prominent pages. The TPM will work with engineers on page optimization systems, manage innovation, anticipate bottlenecks, and balance business needs with technical constraints. The role involves significant scope and responsibility, impacting billions of dollars in revenue, and requires collaboration across company-wide strategic programs. The team leverages ML, big data, and distributed systems to deliver personalized shopping experiences. | — | 5 |
| Senior Customer Success Specialist - GenAI, AWS Specialist and Partner Organization Senior Customer Success Specialist focused on driving enterprise adoption and value realization for AWS generative AI services. This role involves developing and executing customer success strategies, architecting solutions, building enablement programs, and fostering relationships with customers and partners to scale adoption of AWS GenAI services. The emphasis is on organizational AI transformation leadership rather than direct AI/ML model building. | — | 5 |
| Senior Product Manager - Technical, Alexa Connections Senior Product Manager - Technical for Alexa Connections, focusing on building messaging experiences where Alexa acts as an agent using Generative AI and large language models to manage customer communication lives. The role involves working at the intersection of LLMs, real-time communications, voice/graphical UIs, and mixed reality to deliver delightful features for end customers. | Agent | 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 |
| AI Data Associate - French, Artificial General Intelligence The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. This role supports the development and deployment of large language models (LLMs) and AI responsibly. | Data | 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 |
| Sr Operations Manager, AGI-DS, AGI DS This role is for a Sr Operations Manager on the Amazon Artificial General Intelligence (AGI) team, focusing on speech and language solutions. The manager will be responsible for developing, managing, and supporting a team, creating operating plans, implementing processes for scaling, hiring and developing talent, fostering a coaching culture, and improving operational metrics. The team provides speech recognition capabilities and data labeling services for ML models. | — | 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 |
| Full Stack Software Engineer, Amazon Leo OISL Full Stack Software Engineer for Amazon Leo's satellite network SaaS platform. The role involves designing and building multi-layered services for real-time data collection, network analysis, and fault identification. Key responsibilities include developing automated runbook triggers, leveraging ML/AI for anomaly detection, root cause analysis, and impact prediction, and building data-driven KPI systems. The engineer will also provide technical leadership and mentorship. | Agent | 5 |
| Software Developer, IES LATECH & GIS Software Developer role focused on automating international expansion launch strategies for Amazon by building customer-facing features. The role involves leveraging Machine Learning models to solve complex problems within a distributed e-commerce environment, impacting millions of customers globally. | Ship | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure. | Serve | 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 |
| Principal Software Engineer, Personalization (I/O) Principal Software Engineer role focused on designing and developing large-scale data mining solutions, distributed machine learning systems, and client experiences for Amazon's Personalization organization. This role involves working with big data and advanced techniques to enhance shopping experiences for millions of customers. | Ship | 5 |
| Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science Data Scientist II for AWS Managed Operations Intelligence (MOI) team. Responsible for the end-to-end data science lifecycle, including data exploration, ETL, model development, and data visualization, leveraging various analytical and AI frameworks to solve complex business problems and drive data-driven transformation. Focuses on reducing operational load and toil through long-term engineering projects. | Data | 5 |
| Senior Software Development Engineering, Device Diagnostics and Troubleshooting, Device Software and Services Senior Software Development Engineer on the Device Diagnostics and Troubleshooting team, building systems leveraging Generative AI for proactive detection and root cause identification in Amazon Devices. Role involves technical leadership, system architecture, mentoring, and operational excellence. | Agent | 5 |
| Software Development Engineer - Test Automation, Amazon Camera SDK Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, including audio/video pipelines, secure boot, and hardware abstraction layers, aiming to improve test coverage, reduce execution time, and enhance defect detection. | Ship | 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 Hardware Development Engineer, High Performance AI & ML Servers This role focuses on designing, delivering, and operating next-generation server infrastructure for AI training and inference workloads within AWS. It involves collaborating with various engineering teams and suppliers to ensure high performance, efficiency, and scalability of the hardware systems that power AI/ML and HPC in the cloud. | — | 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 |
| Senior Data & AI Cloud Architect, AWS Professional Services This role is for a Senior Data & AI Cloud Architect within AWS Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on data infrastructures and AI programs. While the role involves working with AI programs and data infrastructures, the core craft is cloud architecture and solution delivery, not direct AI/ML model development. | — | 5 |
| Data Science Manager, PXT Central Science Data Science Manager role at Amazon PXT Central Science, focusing on leading a team to build structural and predictive models, leverage data science workflows, and drive innovations for customer impact. The role involves team management, technical direction, and strategic planning, with a focus on improving Amazon and the lives of Amazonians through economics, behavioral science, statistics, machine learning, and Generative AI. | Data | 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 |
| Sr Manager, GenAI Strategy, Generative AI Innovation Center This role is for a Sr. Manager of GenAI Strategy within AWS, focusing on leading a team that helps customers enhance business outcomes using generative AI and broader data science. The role involves partnering with customers and various AWS teams, refining programmatic approaches to drive business metrics, and educating customers on the value of generative AI and AWS services. The ideal candidate will have experience in customer-facing roles, team management, technical program launches involving AI/ML, and a strong understanding of connecting business value to scalable solutions. | — | 5 |
| Demand Generation Rep Intern This is an intern role focused on demand generation within AWS. Responsibilities include market research, lead engagement, event support, and contributing to business strategies. The role requires experience with Generative AI tools and workflow automation platforms, along with strong project management and data analysis skills. | — | 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 |
| Principal Product Manager, Tech, Amazon Connect Product Manager for Amazon Connect's Interactive AI team, focusing on developing next-generation generative AI infused agent, manager, and end-customer experience capabilities for a cloud-based contact center. The role involves defining product roadmaps, writing requirements, partnering with marketing, managing prioritization, and driving executive communications. | — | 5 |
| Software Developer Engineer II, INTech LATAM Software Developer Engineer II role focused on building customer-facing features for Amazon's international expansion, leveraging Machine Learning models to solve real-world problems in a highly distributed environment. The role involves designing, developing, and operating software solutions that impact e-commerce revenue across numerous countries. | Ship | 5 |
| Senior Startup Investor Manager, (VC or Angel) , AWS Worldwide Startups This role is for a Senior Startup Investor Manager within AWS Startups. The primary responsibility is to identify and work with early-stage startups and venture capital firms to accelerate their success on AWS. The role requires technical depth in cloud computing and emerging technologies like generative AI, combined with business acumen and investment insight to help startups leverage AWS infrastructure for growth. The focus is on driving initiatives, designing solutions, and gathering market signals from investors and founders to inform AWS innovation. | — | 5 |
| Senior Data & AI Architect, AWS Professional Services This role focuses on designing and implementing complex AWS solutions, with a specific emphasis on Data/AI programs and GenAI implementations including LLMs, RAG, and vector databases. The role involves acting as a trusted advisor to customers, leading technical teams, and ensuring successful cloud adoption and migration strategies. | Agent | 5 |
| Sr. Manager, TPM, Alexa Connections Senior Manager, TPM to lead a portfolio of high-impact, cross-functional programs and mentor a team of TPMs delivering AI-driven communication products at global scale. The role focuses on program management and team leadership for AI-powered communication products, not direct AI/ML model development. | — | 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 |
| Software Development Manager, AWS Neuron Frameworks Software Development Manager for AWS Neuron Frameworks, leading a team to develop and maintain ML accelerator software stack components, focusing on open-source collaboration with frameworks like JAX, PyTorch/XLA, and OpenXLA. | — | 5 |
| Sr. SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems This role focuses on developing bare metal firmware for custom ASIC-based ML Accelerator chips, working on hardware/software co-design for machine learning systems. While it supports ML acceleration, the core craft is embedded firmware and hardware interaction, not direct ML model development or research. | — | 5 |
| Business Analyst, JWO This role is for a Business Analyst within Amazon's Physical Stores organization, focusing on the Just Walk Out (JWO) technology. The role involves analyzing data to drive insights, build reports and metrics, and support the development of JWO stores. While the underlying technology uses AI/ML, this specific role is focused on business analysis, reporting, and stakeholder communication rather than direct AI/ML model development. | — | 5 |
| AI/ML Team Manager, Artificial General Intelligence Data Services This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization, focusing on speech and language solutions for Alexa AI. The manager will oversee a team responsible for data creation, curation, and analytics to support ML Science and modeling teams. Key responsibilities include managing daily operations, performance monitoring, hiring, training, scheduling, and process improvement. | — | 5 |
| AWS Director of Technology, Germany & Central Europe, AWS Global Sales AWS Director of Technology for Germany & Central Europe, responsible for technical sales leadership, driving cloud and generative AI adoption, crafting scalable cloud architectures, and leading a team of Solutions Architects. The role involves C-suite engagement, influencing technical strategy, and partnering with sales and cross-functional teams to accelerate customer outcomes and revenue growth. | — | 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 solve real-world problems and automate launch strategies for new countries. The role involves designing, developing, and delivering software in a highly distributed environment, impacting e-commerce revenue across numerous countries. | Ship | 5 |
| Team Manager, Artificial General Intelligence – Data Services This role is a Team Manager for Amazon Data Services, focusing on speech and language solutions for Alexa. The primary responsibilities include managing job assignments, monitoring performance, supporting hiring and training, ensuring productivity, developing work schedules, liaising with other teams, tracking metrics, filing tickets, providing feedback, and implementing process improvements. The team researches and delivers multi-language Text-to-Speech technology. | — | 5 |