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 |
|---|---|---|
| Principal Data Engineer, Intelligent Talent Acquisition Lead high scope technical projects in Intelligent Talent Acquisition (ITA) Data team, focusing on data strategy, design, and hands-on development of complex products, mentoring data engineers, and ensuring high-quality data provision. Partner with stakeholders to develop scalable interoperability solutions. | Data | 5 |
| Signal & Power Integrity Engineer, Annapurna Labs - AI Silicon Packaging This role focuses on Signal and Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will perform simulations, build models, and contribute to design decisions across IC, package, and board boundaries, working with senior engineers to meet performance and power delivery targets. Responsibilities include package-level SI/PI simulations, stack-up design support, high-speed channel simulations, modeling advanced interconnects, and validating decoupling technologies. The role also involves coordinating with SoC and board design teams and identifying potential manufacturing risks. |
| — |
| 5 |
| Principal TPM, Alexa This role is for a Principal TPM at Amazon, focusing on leading initiatives related to Agentic AI and next-generation intelligent experiences for Alexa. The TPM will drive the development and integration of Generative, Agentic, and Real-time AI technologies, collaborating with cross-functional teams to deliver seamless user experiences. While the role involves working with advanced AI, the core responsibilities are program management, roadmap prioritization, and process improvement, rather than direct AI/ML model development or research. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads. | — | 5 |
| Enterprise Solutions Architect Solutions Architect for AWS in Copenhagen, empowering enterprises with cloud technologies. Focuses on building technical relationships, advising on cloud value, security, cost, performance, and operational efficiency. Acts as a customer voice for product roadmap, creates reference architectures, and evangelizes AWS technology through content and speaking engagements. Requires experience with Generative AI and cloud architecture. | — | 5 |
| Sr. Signal & Power Integrity Engineer, Annapurna Labs - AI Silicon Packaging This role focuses on Signal & Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will lead package-level SI/PI strategy, design and optimize package stack-ups, perform high-speed channel simulations, analyze and optimize the package PDN, and model advanced interconnects. The role requires expertise in SI/PI tools, advanced packaging technologies, and correlation of simulations with lab measurements. | — | 5 |
| Data Scientist, Private Brand Analytics Data Scientist on the Core Tech Private Brands Analytics team, responsible for building and improving forecasting and planning models for Amazon Private Brands. This involves end-to-end pipeline development, replacing manual processes with code-driven solutions, and evaluating model accuracy. The role partners with business, science, and tech stakeholders and contributes to the organization's AI framework and experimentation rigor. | Data | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context. | Agent | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context. | Agent | 5 |
| AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations The role focuses on operating and optimizing a fleet of ML servers and accelerators, debugging hardware and software issues, developing data infrastructure, and creating automation software for operational scaling. It involves system remediation, root cause analysis of hardware failures, and implementing system-level testing. | — | 5 |
| ProServe Cloud Architect, Professional Services This role is for a ProServe Cloud Architect at Amazon Web Services (AWS) who will design and implement cloud solutions for customers, focusing on achieving business outcomes. While the role involves working with AI/ML solutions and understanding related technologies, its core function is cloud architecture and customer consulting, not direct AI/ML model development or research. | — | 5 |
| Senior Solutions Architect, Public Sector - Israel This role is for a Senior Solutions Architect in AWS Global Sales, focusing on the Public Sector in Israel. The primary responsibility is to build technical relationships with customers, acting as a trusted advisor to help them adopt and maximize the AWS cloud. This involves making recommendations on various aspects of cloud architecture, informing the AWS roadmap with customer needs, and creating/sharing best practices and reference architectures. While Generative AI is mentioned as a preferred technical domain, the core function is broader cloud solutions architecture and customer enablement, not direct AI/ML model development. | — | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and applications within Amazon's fulfillment centers. This role involves all phases of development, from concept to production, and requires collaboration with applied scientists and other engineering teams. Basic qualifications include background in Computer Vision, Machine Learning, or Robotics, and experience with modern programming languages and software engineering best practices. | Ship | 5 |
| Software Development Manager, Payables Tech Experienced Software Development Manager to lead a team building the next generation of distributed, scalable financial systems, with a focus on driving adoption of agentic AI and LLMs and influencing automation strategy. | Agent | 5 |
| Principal Security Engineer, AWS Network Servcies, AWS Network Services Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code. | — | 5 |
| SDE-II, Healthcare AI Software Development Engineer II (SDE-II) for AWS Applied AI Solutions, specifically focusing on building Amazon Connect Health within the Healthcare AI organization. The role involves designing and developing scalable software systems, writing high-quality code for cloud-based healthcare applications, and collaborating with product managers and applied scientists. The position emphasizes working on data processing, analytics, and machine learning systems to improve healthcare outcomes, reduce costs, and enhance care delivery. | Ship | 5 |
| Senior Solution Architect, New Zealand Enterprise This role is for a Senior Solutions Architect at AWS in New Zealand, focusing on helping enterprise customers adopt and leverage Agentic AI and cloud technologies. The role involves advising customers on best-practice architectures, driving technical discussions, scoping engagements, and acting as a thought leader through content creation and community engagement. While the role involves understanding and recommending AI solutions, the core responsibility is architectural design and customer advisory, not direct AI model development or deployment. | — | 5 |
| Sr. Manager, Security Services SA, AWS Security Services SA - North America This role is for a Sr. Manager to build and lead a new team of Security Services Specialist Solutions Architects within AWS Global Sales. The team will focus on driving customer adoption of AWS security services, particularly for generative AI and agentic workloads, by acting as a technical bridge between AWS security services and customer needs. The manager will recruit, develop, and lead the team, partner with sales and product teams, and establish thought leadership. | — | 5 |
| Software Development Engineer - Test II, Alexa Endpoint Experiences Software Development Engineer in Test (SDET) to join the Alexa Endpoint Experiences team. The role involves leveraging AI tools and modern automation frameworks to transform testing infrastructure, migrating manual test cases to automated solutions and building robust, multi-stage pipelines. Key responsibilities include designing and implementing AI-powered frameworks, using generative AI for test case acceleration, architecting automated CI/CD pipelines, and focusing on functional, UI consistency, performance, and visual regression testing. | Agent | 5 |
| Software Dev Engineer II, Creative X Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features. | Ship | 5 |
| ML Data Associate I The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools. | Data | 5 |
| Software Development Engineer II, FinTech Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance. | Agent | 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 |
| Data Scientist, Amazon Leo Global Planning, Amazon Leo This role focuses on building and deploying machine learning models for global demand forecasting in the context of Amazon Leo's satellite broadband initiative. The Data Scientist will integrate data from various sources, develop bandwidth usage models, and ensure seamless integration with capacity planning systems. They will also contribute to the technical roadmap and evaluate AI systems, with a focus on assessing GenAI model performance. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |
| ML Data Associate-II The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role. | Data | 5 |
| ML Data Associate-II The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role. | Data | 5 |
| ML Data Associate-II The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role. | Data | 5 |
| Director IAM, Amazon Foundational Security Services Director of Software Development for Amazon Foundational Security Services (AFSS) focusing on identity and access management. The role involves transforming access controls, operating Tier-1 services, and establishing a new vision for business agility and security. Key responsibilities include leveraging generative AI for development acceleration, service operations transformation, and shipping AI authorization features to support agentic AI. | Agent | 5 |
| Software Development Engineer, Playback Team Software Development Engineer on the Playback team at Audible, focusing on designing, architecting, and implementing machine learning solutions for audio storytelling applications. The role involves developing software components, collaborating with stakeholders, and optimizing playback quality and customer experience. | Ship | 5 |
| Sr GTM SSA Analytics, EMEA GTM Data and AI Specialists Solutions Architecture This role is a Go-To-Market (GTM) Specialist Solutions Architect within the AWS Worldwide Specialist Organization (WWSO) AI/ML/GenAI team. The primary focus is on helping customers develop data-driven initiatives and solve complex data challenges using AWS services. The role involves representing customer needs to product teams, providing technical expertise to GTM teams, owning the technical bar for artifacts, collaborating on GTM strategy, acting as a thought leader, guiding internal SMEs, and creating enablement materials for other Solutions Architects. While the role is within an AI/ML/GenAI team and involves working with data and AI technologies, the core responsibilities are focused on go-to-market strategy, customer engagement, and technical enablement rather than directly building or shipping AI models or agents. | — | 5 |
| Desenvolvedora de Software (Vaga afirmativa prioritária para mulheres), IES LATECH & GIS Software Development Engineer 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. The role involves working in a distributed environment impacting e-commerce revenue across numerous countries. | Ship | 5 |
| Software Developer, IES LATECH & GIS Software Developer role focused on automating international expansion for Amazon by building customer-facing features, leveraging ML models for solutions, and working in a distributed environment. | Ship | 5 |
| AI Tutor, Rufus, Amazon Rufus This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers. | Data | 5 |
| AI Data Associate - French, Artificial General Intelligence This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English. | Data | 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 |
| 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 |
| AI Data Associate (NL), Artificial General Intelligence Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and processes. | Data | 5 |
| Business Intelligence Engineer, Amazon This role involves building data pipelines, dashboards, and leveraging Generative/Agentic AI products for data self-service within Amazon Payment Products. The engineer will analyze large datasets, present insights, and manage projects from start to finish, with a focus on driving business profitability. | Agent | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Data Engineer II , JWO Data Services Data Engineer II role within AWS Applied AI Solutions, focusing on building and deploying reliable distributed data pipelines for Amazon Go's Just Walk Out Technology. The role involves data modeling, ETL, and working with various AWS technologies to support machine learning and vision systems. | — | 5 |
| Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware This role is for a Sr. Mechanical Engineer focused on the design and optimization of hardware, specifically custom chips and accelerators for machine learning in Amazon's data centers. While the hardware supports ML, the core craft of the role is mechanical and thermal engineering, not AI/ML model development. | — | 5 |
| Sr. Business Intelligence Engineer, Forecasting and Labs Analytics This role is for a Sr. Business Intelligence Engineer focused on Demand and Inbound Forecasting within Amazon's supply chain. The engineer will develop tools and metrics for analytics solutions, lead projects using data modeling and statistical analysis, and partner with product, science, and engineering teams. While the role mentions experience with ML and data science theory, its core function is BI and analytics for forecasting, not direct AI/ML model development or deployment. | — | 5 |
| DE Annotations Auditor (German fluent), Community Feedback Annotation Team The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity. | Data | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The Builder Solution Architect will develop code artifacts, support analyst evaluations, and collaborate with various teams to showcase AWS's capabilities to customers and internal stakeholders. The role emphasizes creating inspiring demos for product launches and events, requiring strong software development skills and the ability to quickly learn new concepts and tools. | Ship | 5 |
| Sr. Software Development Engineer, Payroll Tax & Accounting Tech Senior Software Development Engineer to lead the architecture and technical design of a globally deployed, locally configured gross-to-net calculation engine that leverages LLM-based rule extraction to formalize complex jurisdiction-specific tax regulations. The role involves designing deterministic tax calculation algorithms, driving technical decisions for the LLM-based rule extraction pipeline, creating accounting integration services, and implementing GenAI shadow mode validation frameworks. | Agent | 5 |
| Senior Strategic Supply Chain Manager, JP Books This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development. | — | 5 |
| Network Dev Manager III, OpsTech Network Engineering This role is for a Network Development Manager III at Amazon OpsTech, focusing on leading the development and delivery of automated LAN and Wireless network solutions for fulfillment and robotics operations. The role emphasizes driving innovation in network automation, AI-powered solutions, and next-generation architectures, while also managing a team of engineers. The primary focus is on the infrastructure that supports AI operations rather than building AI models directly. | — | 5 |
