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 |
|---|---|---|
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role within AWS Applied AI Solutions, focusing on building and maintaining the secure data foundation for AI-driven business applications. Responsibilities include owning production systems for the complete data lifecycle (ingestion to model training to opt-out controls), maintaining and refactoring existing services, designing new solutions for data access and authorization, and ensuring privacy, security, and compliance. The role involves working with scientists and engineers to enable AI model development while adhering to strict governance standards. | Data | 5 |
| Business Intel Engineer II, EMXO PLX This role focuses on Business Intelligence Engineering, leveraging data mining, statistical, and machine learning techniques to provide analytical solutions for marketing and product management teams. The engineer will drive the analytics roadmap, collaborate with stakeholders, and innovate by adapting new modeling techniques. Responsibilities include extracting and analyzing large datasets, implementing data flow solutions, and mentoring junior resources. Basic qualifications include experience with SQL, data extraction/transformation, experimental design, AWS technologies, scripting (Python), and ML/data mining principles. Preferred qualifications include stakeholder collaboration, data warehousing, and ETL pipeline experience. |
| — |
| 5 |
| Senior Software Engineer, AWS Commercial Application Services Senior Software Engineer role focused on architecting and building AI-driven solutions, specifically Agentic AI and LLM-powered workflows, for enterprise partners on AWS. The role involves defining technical direction, owning architectural decisions, designing and delivering integrations between AWS and strategic partners, and prototyping solutions using AI agents. Emphasis on full-stack delivery, high availability, performance, and customer delight, with collaboration with AI Research teams. | Agent | 5 |
| Manager III, Security Engineer, InfraSec Access Boundary Security Manager for a security engineering team focused on network boundary protection, access controls, and vulnerability management for AWS infrastructure. The role involves leading initiatives that protect AWS's operational network across the full device lifecycle, leveraging AI/ML for threat detection and response. | Serve | 5 |
| Business Intelligence Engineer, Denied Party Screening The Business Intelligence Engineer will join the Deny Party Screening (DPS) team at Amazon, focusing on preventing denied parties from transacting with Amazon businesses. This role involves building automatic mechanisms using algorithms and machine learning techniques to detect and prevent prohibited transactions, screening over half a billion events daily and addressing significant scaling challenges. The engineer will own reporting, analytical projects, and work with diverse data sources and technologies to develop ML and Analytics powered detection and resolution systems. | — | 5 |
| Data Engineer, WW Promotions Data and Insights Data Engineer role focused on building and operating scalable data processing systems using AWS technologies. The role involves data modeling, ETL pipeline development, and collaboration with data scientists and analysts. While not directly building AI models, the role will utilize generative AI tools to enhance workflow efficiency and identify opportunities for AI integration. | — | 5 |
| Support Engineer, Alexa Support Engineer for Alexa data team focusing on LLMs, defect triage, and improving customer experience by building Generative AI solutions. Role involves understanding system components, identifying and escalating defects, analyzing data, and implementing solutions. | Agent | 5 |
| Sr. Solutions Architect, US Commercial Midmarket Segment Solutions Architect role focused on driving adoption of AWS services, particularly Generative AI and Agentic AI, for Small and Medium Business (SMB) customers. The role involves educating customers, formulating technical strategies, designing AI-powered solutions, and authoring customer-facing content to accelerate their cloud and AI transformation. | Agent | 5 |
| Senior Solutions Architect, AWS Global Sales, Energy & Utilities This role is for a Senior Solutions Architect at AWS, focusing on the Energy & Utilities sector. The primary responsibility is to work with customers to adopt AWS cloud and AI services, providing technical guidance, building solutions, and acting as a trusted advisor. The role involves creating technical content, evangelizing AWS technologies, and contributing to the growth of the Solutions Architecture organization. While AI/ML technologies are mentioned, the core function is customer-facing solution architecture and adoption, not direct AI/ML model development or research. | — | 5 |
| Solutions Architect, AGS-APJ-India-SA Solutions Architect role focused on enabling industries to build innovative solutions using AWS, with a significant emphasis on AI/ML and Generative AI technologies. Responsibilities include technical engagement, advising on architecture and design, deploying at scale, and evangelizing cloud and AI/ML adoption. The role involves understanding customer business requirements, discerning various AI/ML and data technologies, architecting for high availability and cost-efficiency, and advising on DevOps and observability. It requires deep AWS expertise and broad knowledge of application construction using AWS services, with a focus on scaling infrastructure and exceptional solutions. | — | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa's multilingual experience across text, voice, and visual modalities. It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and driving quality metrics for a global customer base. | Eval GateAgent | 5 |
| Senior Solutions Architect, AWS Global Financial Services, Global Financial Services Senior Solutions Architect for AWS Global Financial Services, focusing on designing scalable cloud architectures, advising on cloud migration, cloud-native development, and AI adoption for large enterprise customers in banking, insurance, and capital markets. The role involves partnering with sales, providing technical guidance, and contributing to the SA community. | — | 5 |
| Software Development Engineer, Amazon Central Sourcing Software Development Engineer role at Amazon focusing on building scalable cloud services. The role emphasizes leveraging generative AI tools to enhance development workflows, code quality, and delivery speed. Responsibilities include designing and implementing highly available services, solving complex distributed systems challenges, and contributing to operational excellence. Requires experience in software development, system design, and programming languages like Java, C++, or C#. | — | 5 |
| Solutions Architect - NPO, WWPS SA - NPO - Greenfield Solutions Architect for Nonprofits focused on cloud migration, professional services, Generative AI (Bedrock, AgentCore, Quick), and contact center modernization. The role involves leading customer engagements, partnering with sales to advance opportunities, and applying the GenAIIC accelerator and AIDLC framework to move PoCs to production. Requires deep AWS technical breadth, customer-facing experience, and experience with GenAI delivery. | Agent | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves acting as a long-term security architect for key customers, designing solutions across various security domains, and driving adoption of AWS security services. A significant aspect is helping customers secure their generative AI and agentic AI workloads by architecting appropriate security controls. The role also involves translating field patterns into product feedback to shape the roadmap and publishing reusable assets. It's a founding role within a new team, aiming to scale the function. | — | 5 |
| Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through cloud adoption, and advise on industry trends and emerging technologies. While the role involves knowledge of AWS services including machine learning, its primary focus is on cloud solution implementation and customer success, not direct AI/ML model development. | — | 5 |
| Sr. Delivery Consultant - AI/ML, AWS ProServe This role is for a Sr. Delivery Consultant focused on AI/ML solutions within AWS Professional Services. The consultant will design, implement, and manage AWS solutions for customers, providing technical expertise and guidance throughout the project lifecycle. Key responsibilities include architecting scalable solutions, gathering requirements, proposing migration strategies, acting as a trusted advisor, and sharing knowledge internally. The role requires significant experience in building large-scale ML and AI solutions. | Ship | 5 |
| Software Development Engineer, Conversational Ads Experience Software Development Engineer role focused on building conversational ad experiences powered by LLMs within Amazon Ads. The role involves driving product and engineering initiatives, designing and operating customer-facing functionality, and partnering with scientists to integrate sponsored prompt experiences. It emphasizes large-scale, low-latency distributed systems and aims to revolutionize advertising through generative AI. | Agent | 5 |
| Snr. Solutions Architect, Alexa India This role is for a Senior Solutions Architect at Amazon's Alexa India team, focusing on driving the adoption of Generative AI integrations with Tier 1 partners. The architect will act as a technical leader, providing consultation, developing architectural frameworks, and establishing best practices. The role involves deep technical engagement with partners, influencing product roadmaps, and accelerating the use of Alexa's capabilities to create innovative customer experiences. While the role involves Generative AI, the primary focus is on solution architecture, adoption, and partner engagement rather than core AI/ML model development. | — | 5 |
| Business Intelligence Engineer, Alexa Enterprise Data The Business Intelligence Engineer will be responsible for defining metrics and KPIs, deep-diving into data sets, and building automated reporting solutions for Alexa Enterprise. This role requires strong SQL, ETL, and data wrangling skills, along with excellent communication and stakeholder management abilities. | — | 5 |
| Software Development Engineer, Data Platform, Prime Video Personalization & Discovery Software Development Engineer role focused on building and scaling the data and ML infrastructure for Prime Video's personalization and discovery features. This involves designing and developing big data pipelines and platform solutions to support recommendation systems and customer experiences. | — | 5 |
| Software Development Manager, Selling Partner Financial Tech Software Development Manager to lead the Vendor Funding team in building GenAI-powered solutions for Amazon Retail's financial systems, focusing on vendor agreements and profitability. | Ship | 5 |
| FR Annotations Auditor, Community Feedback Annotation Team This role involves evaluating annotated datasets for natural language processing models, ensuring accuracy and consistency. It focuses on data quality for training generative AI. | Data | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that supports large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms. The role is crucial for enabling massive AI training runs and other demanding cloud workloads. | — | 5 |
| Senior Software Development Engineer, AWS EC2 Nitro Team Senior Software Development Engineer on the AWS EC2 Nitro team, focusing on building and optimizing the foundation of cloud computing infrastructure for high-performance AI/ML training and inference workloads. The role involves working across the full technology stack, from hardware to software, to solve complex performance optimization problems at massive scale. | Serve | 5 |
| Sr. Specialist Solutions Architect - HPC / ML, AWS WWSO EMEA, Advanced Compute The Sr. Specialist Solutions Architect will work with customers to design and implement cloud-based solutions, focusing on High Performance Computing (HPC) and Machine Learning (ML) workloads on AWS. This role involves providing technical expertise, thought leadership, and guidance on best practices for leveraging AWS services to solve complex customer challenges. | — | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on speech, text, audio, video data, and delivering high-quality labeled data using in-house tools. It requires analyzing root causes, identifying error patterns, and proposing solutions to enhance labeling quality, as well as identifying and suggesting changes for operational issues. | Data | 5 |
| Sr Mgr, Solutions Architecture, AGS TMEGS Games This role is for a Senior Manager of Solutions Architecture within AWS Global Sales, focusing on the Games vertical. The primary responsibility is to lead a team of Solutions Architects, build customer relationships, and drive the adoption of AWS services by crafting scalable cloud architectures. The role involves partnering with sales teams to achieve revenue growth and acting as a trusted advisor to customers, helping them understand best practices for cloud solutions, including generative AI applications in game development. The position requires strategic thinking, deep technical knowledge of cloud infrastructure, and familiarity with the demands of the games industry, such as always-on services and unpredictable scale. The role also involves hiring, developing, and managing technical teams, and contributing to AWS publications. | — | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves acting as a long-term security architect for large enterprise customers, designing solutions across various security domains, and driving the adoption of AWS security services. A key aspect is helping customers secure their generative AI and agentic AI workloads by architecting appropriate security controls. The role also involves translating field patterns into product feedback to shape the roadmap and publishing reusable assets. It's a founding role in a new team, focused on scaling the function. | — | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves serving as a long-term security architect, engaging with CISOs, driving adoption of AWS security services, and helping customers secure generative AI and agentic AI workloads. The architect will also translate field patterns into product feedback and help shape the roadmap for a newly formed team. | — | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa+'s multilingual experience by driving quality across various modalities (text, voice, visual). It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and performing manual and automated testing. The role requires fluency in one or more European languages and emphasizes quality across speech, visual, conversational, cultural, and linguistic dimensions. | Eval GateAgent | 5 |
| Software Development Engineer in Test, Alexa Global Quality - India This role focuses on building and evolving agentic automation tooling for end-to-end quality evaluation of Alexa's multi-locale experience. It involves creating scalable, AI-powered solutions for validation across speech, visual, conversational quality, and cultural/linguistic dimensions, including synthetic test generation and LLM-as-a-Judge evaluations. | Eval GateAgent | 5 |
| Data Engineer II, Perfect Order Experience This role focuses on building and maintaining data engineering platforms, data pipelines, and data clusters to support analytics and business needs within Amazon's Perfect Order Experience team. It involves working with large datasets, AWS technologies, and collaborating with engineering and science teams to implement analytics algorithms. The goal is to provide buyers with a perfect order experience by leveraging data and AI to detect and prevent risk. | — | 5 |
| Software Devlopment Engineer, FinTech Account Receivables Cash Applications Software Development Engineer role focused on building AI-based Financial systems for Amazon's FinTech Account Receivables Cash Applications, involving integration with ML and Generative AI models on AWS. | Ship | 5 |
| Consultant, AWS Professional Services, Agentic Delivery Acceleration This role focuses on designing and developing user interfaces and workflow automation solutions for agentic AI products within AWS Professional Services. The goal is to accelerate customer adoption, reduce risk, and enhance experiences by leveraging AI to streamline business processes and improve operational efficiency. | Agent | 5 |
| Software Development Engineer, AWS Kumo Health Experience Software Development Engineer role within AWS Kumo Health Experience team, focusing on scaling AWS support capabilities. The team uses machine learning to understand customer behavior, predict intent, personalize content, and automate issue resolution via chatbots. The role involves contributing to a complete vertical stack of an SOA-based system, using various technologies including Kotlin, Java, JavaScript, React, Node, Elastic Search, and native AWS services. | — | 5 |
| Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. Build data pipelines that collect, process, and surface performance metrics and dashboards for visibility into regression detection, performance trends, and release readiness. | Serve | 5 |
| Sr. Solutions Architect, Media, Entertainment, Games & Sports (MEGS) This role is for a Sr. Solutions Architect within AWS MEGS, partnering with large entertainment companies to design and build cloud-based solutions. The role involves advising on architecture, building prototypes, and identifying/advancing generative AI and ML use cases from exploration to production. While AI/ML is a component, the core focus is on broader cloud solutions and customer engagement across various media and entertainment workloads. | — | 5 |
| Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Compensation within AWS SMGS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML and generative AI into scaling programs. The role requires strong analytical and statistical rigor to drive business decisions and communicate complex results. While the role mentions integrating ML and generative AI, its core function is BI engineering and data analysis, not direct AI/ML model development. | — | 5 |
| Quality Auditor - German Speaker, AGI Data Services - Ground Truth Quality This role focuses on quality assurance for AI data services, involving manual review and validation of data quality for AI development and training. The Quality Auditor will conduct audits, coach data associates, identify root causes of issues, and ensure compliance with quality standards. Experience in ML/Data Labeling operations and data annotation metrics is required. | Data | 5 |
| Front End Engineer II, AWS Marketplace Front End Engineer II for AWS Marketplace, focusing on building a new Generative AI application. The role involves end-to-end software development, collaboration with stakeholders, and delivering user-facing features for enterprise customers. | — | 5 |
| Software Development Engineer, Amazon Customer Service Software Development Engineer role focused on building AI-powered solutions for Amazon Customer Service, aiming to improve efficiency and customer experience. The role involves end-to-end ownership of software development, from design to deployment, with a focus on AI-native development. | Ship | 5 |
| Sr. Solutions Architect , WWPS - HCLS - Medical Technology Solutions Architect role focused on designing and implementing AWS cloud solutions for Healthcare & Life Sciences customers, with a significant emphasis on AI/ML and Generative AI use cases, including prototyping and architectural guidance. | Agent | 5 |
| High-Speed Interface Validation Engineer, Post Silicon Validation This role validates high-speed interfaces (HBM, PCIe, UCIe, SerDes) for AWS's next-generation ML accelerators, focusing on link integrity, performance, and reliability at electrical and protocol layers. Responsibilities include electrical characterization, protocol compliance testing, stress testing, and debugging link failures using lab instrumentation. The role operates in a fast-paced environment, collaborating with design teams to ensure the scalability and quality of custom silicon for AI/ML workloads. | — | 5 |
| Sr. Business Intelligence Engineer, B2C, Amazon Leo This role focuses on building the analytics and data foundations for Amazon Leo's global marketing engine. The Business Intelligence Engineer will design and build datasets, dashboards, and pipelines to measure customer behavior, marketing effectiveness, and growth. Responsibilities include architecting data foundations, developing SQL transformations and data models, managing dashboards, conducting deep-dive analysis, and driving alignment on KPIs and data governance. | — | 5 |
| Front-End Engineer II, Amazon Quick, Amazon Quick Front-End Engineer II for Amazon Quick, a generative AI-powered assistant, focusing on designing and delivering scalable front-end capabilities for web and mobile platforms to enhance AI-powered user experiences. | — | 5 |
| Senior delivery consultant – GenAI This role focuses on designing, implementing, and managing AWS AI/ML solutions for customers, acting as a trusted advisor and leveraging expertise in cloud architecture, machine learning algorithms, deep learning frameworks, and AI/ML service architecture. The consultant will guide customers through their cloud journey, focusing on the deployment and optimization of AI/ML services. | Serve | 5 |
| Manager II, ML Data Operations, Global Operations Artificial Intelligence, Amazon Robotics Manager II, ML Data Operations at Amazon Robotics, leading large-scale ML data annotation and operational delivery teams. Responsible for operational excellence, people leadership, stakeholder management, quality governance, workforce planning, process optimization, and business continuity across AI/ML programs supporting Amazon Robotics and Fulfilment Technologies. | Data | 5 |
| Software Development Engineer-II (SDE 2), WWRR Tech - UTR Software Development Engineer II role focused on building and delivering massively scalable, distributed real-time systems for Amazon's Worldwide Returns & ReCommerce (WW R&R) organization. The team aims to achieve zero cost of returns, zero waste, and zero defects by developing products and driving operational excellence in the circular economy. While the role involves training machine learning models, the primary focus is on software engineering for these systems, not core AI/ML model development or research. | — | 5 |
| Software Development Engineer II, SKG Team Software Development Engineer II on the SKG team within AWS Infrastructure Services, focusing on building intelligent systems to automate data center alarm triage and analysis using generative AI. The role involves integrating with services like Amazon Bedrock for summarization and insight generation, and contributing to an automated triage and ticketing engine. This is an applied engineering role focused on integrating and orchestrating AI services, not building or training models, with a strong emphasis on end-to-end feature ownership, design, deployment, and operation in a production environment. | Agent | 5 |