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 |
|---|---|---|
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| Senior Software Engineer, Amazon Access Senior Software Engineer role focused on building greenfield infrastructure for Amazon Access, a healthcare benefits platform. The role involves designing and building scalable, ML-integrated systems for personalization and eligibility, with a focus on end-to-end ownership, architectural decisions, and applying engineering best practices. The position is part of the founding Bangalore engineering team and requires experience in distributed systems, ML, and potentially healthcare/fintech domains. |
| Ship |
| 5 |
| Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation Software Development Engineer focused on ML Systems Integration and Validation for next-generation ML accelerator servers. The role involves owning CI/CD pipelines, test frameworks, and system-level validation for ML inference platforms, including performance benchmarking for LLM inference workloads. | Serve | 5 |
| Data Scientist II, NASC S&OP The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layers of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality. | Data | 5 |
| Senior Solutions Architect, Startups This role focuses on working with early-stage startups to help them leverage AWS technology at scale, acting as a trusted advisor and influencing their technical decisions. It involves designing large-scale architectures, supporting platform evolution, and advocating for customer needs with product teams. The role also includes creating technical content and presenting at events. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is a Security Assurance Solutions Architect for AWS, focusing on helping enterprise customers design, build, and operate secure cloud environments. The role involves advising customers on risk, regulatory, and compliance requirements, particularly for sensitive workloads and regulated data migrating to the cloud. It emphasizes understanding and translating compliance needs into scalable solutions, working with various AWS teams, and potentially traveling to customer sites. While the role mentions Generative AI and responsible AI practices as a way to augment productivity, its core function is in cloud security, risk, and compliance, not in building or directly shipping AI models or agents. | — | 5 |
| Data Engineer, NAST-CX Tech Data Engineer role focused on building and maintaining scalable data infrastructure and ETL pipelines to support business intelligence, analytics, and machine learning models within Amazon Transportation Services. The role involves integrating diverse data sources, curating data, and automating data pipelines using AWS technologies. | — | 5 |
| Sr. Analytics Specialist SA, Solutions Architecture This role focuses on designing and implementing cloud-based analytics solutions on AWS, including data warehousing, data lakes, and real-time analytics. The specialist will help customers build data foundations for advanced analytics, ML, and AI, bridging data engineering and data science to enable feature engineering, experimentation, and model training data pipelines at scale. | Data | 5 |
| パートナー ソリューション アーキテクト、AWS AWS Partner Solutions Architect role focused on enabling partners to leverage cloud and AI technologies. Responsibilities include technical consulting, solution design, hands-on support, and developing technical roadmaps for partners. Emphasizes effective AI utilization, including model selection, RAG, prompt engineering, and AI agents, to drive partner transformation and business outcomes. | Agent | 5 |
| Business Analyst-Data Insights, Translation Services Operations This role focuses on leveraging data to drive business insights and optimize operational processes within Amazon's Translation Services team. The Business Analyst will own end-to-end analytical work, including defining metrics, building reports and dashboards, and identifying trends. A key aspect of the role involves exploring the use of AI/ML to enhance data insights generation and automate reporting. | — | 5 |
| Startup Solutions Architect, AWS Startups Solutions Architect for AWS Startups, focusing on guiding startups in leveraging AWS cloud technologies, with a strong emphasis on modern AI/ML, LLMs, foundation models, and GenAI application architectures. The role involves understanding customer business needs, providing prescriptive guidance on AI/ML solutions, designing reference architectures, and educating customers on AWS capabilities, particularly in areas like model fine-tuning, RAG, and responsible AI. | Agent | 5 |
| Software Development Engineer, Rufus Software Development Engineer role focused on building and improving a generative AI-powered shopping assistant for millions of Amazon customers. The role involves end-to-end ownership, collaboration with cross-functional teams, and a focus on customer experience and technical innovation. | — | 5 |
| Software Development Engineer, CoRe Services Software Development Engineer role focused on building and operating large-scale machine learning systems for fraud detection and risk prevention at Amazon. The role involves developing ML systems for data, feature, model, and rule management, collaborating with ML scientists, and delivering next-gen solutions. | Data | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and enhance customer experiences. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow. | Serve | 5 |
| Architecte de solutions / Solutions Architect - 2026 (CAN) Associate Solutions Architect role focused on helping customers design and adopt AWS cloud solutions. Involves technical training and collaboration with clients and internal teams. Requires experience with AI/ML technologies and cloud domains. | — | 5 |
| Software Development Engineer, AWS Billing console platform Software Development Engineer II role focused on building the platform for AI agents within the AWS Billing console. This includes developing agent-facing interfaces, generated user experiences, and integrating with customer-built agents. The role also involves delivering contractual cost and usage data exports and scaling the platform. It emphasizes end-to-end ownership, operational excellence, and contributing to the evolution of the console in an agent-mediated world. | Agent | 5 |
| Senior Software Engineer, Amazon's Talent Solution’s Core Science and Engineering Senior Software Engineer role focused on building and scaling MLOps/GenAIOps systems for Amazon's Talent Solutions. The role involves managing large data volumes, supporting the ML lifecycle (training, validation), and enhancing LLM responses using techniques like RAG and Prompt Engineering. Emphasis on scalable systems for model deployment and GenAI application building. | ServeAgent | 5 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role involves designing and implementing AI and cloud solutions for healthcare and life sciences customers, focusing on clinical development, data operations, and regulatory submissions. The architect will act as a trusted advisor, guiding customers on emerging technologies like agentic AI and collaborating with internal teams to drive innovation and customer business outcomes. | Agent | 5 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on manufacturing and quality assurance for AI servers and systems, specifically those utilizing 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 like Trainium and Inferentia. While the products are AI-related, the core function of this role is manufacturing engineering, not direct AI/ML model development or research. | — | 5 |
| Solutions Architect, LATAM CSC SA Solutions Architect role at AWS focused on designing and implementing cloud solutions for customers in LATAM. The role involves understanding customer business requirements, translating them into scalable cloud architectures using AWS services, and guiding customers through their cloud adoption journey. While familiarity with AI/ML concepts is preferred, it is not the core focus of the role. | — | 5 |
| Principal Solutions Architect, Enterprise - Retail, CPG and Travel & Hospitality This role is for a Principal Solutions Architect focused on enterprise clients in the retail, CPG, and travel & hospitality sectors. The primary responsibility is to act as a technical leader and strategic advisor, helping customers architect and adopt AWS cloud solutions to solve complex business and technology challenges. This involves building strategic relationships with senior customer leaders, designing end-to-end architectures, leading cross-team solution delivery, and creating reusable assets. While the role involves understanding and architecting AI/ML solutions, its core function is broader cloud solution architecture and customer engagement, not direct AI/ML model development or research. | — | 5 |
| Partner Solutions Architect, CX & Business Applications, AWS Partner Field EMEA This role involves working with AWS partners to enable them to build and bring to market solutions using AI-driven development methodologies and tools, focusing on customer experience and workforce productivity. The Partner Solutions Architect will provide technical guidance, develop enablement content, and support go-to-market motions, including building prototypes and proof-of-concept solutions that demonstrate AI-DLC in practice. The role emphasizes thought leadership on Next-Generation Software Development and representing partner needs to AWS service teams. | Agent | 5 |
| Business Intelligence Engineer, ROW AOP This role focuses on business intelligence and data analysis within Amazon's supply chain. The engineer will analyze large datasets, identify optimization opportunities, build analytical products, and collaborate with stakeholders to drive improvements. While machine learning is mentioned as a tool, the core function is data analysis, metric definition, and building BI solutions, not core AI/ML model development. | — | 5 |
| Security Solutions Architect, AWS Strategic Accounts This role focuses on helping large AWS customers secure their services and achieve business goals by addressing security, risk, and compliance challenges, particularly in the context of Generative AI and agent-based AI. The Solutions Architect will act as a trusted advisor, design proof-of-concept architectures, and develop technical content. | — | 5 |
| Software Development Engineer, Personalization Software Development Engineer on the Personalization team responsible for delivering customer-focused technical solutions leveraging Machine Learning and cutting-edge technology. The team develops scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across platforms, processing billions of content interactions and delivering real-time personalized experiences. | Ship | 5 |
| Sr. UX Motion Designer, Devices & Services Experience Design This role is for a Sr. UX Motion Designer who will use AI and generative tools to expand their craft in creating motion design for Fire TV experiences. The designer will collaborate with cross-functional teams, concept and craft unique motion designs, and advocate for design excellence. The role involves using AI to accelerate exploration, prototype interactive behaviors, and expand the range of solutions. Basic qualifications include 7+ years of design experience, 3+ years as a UX motion designer, and proficiency in design tools like After Effects and Figma. Preferred qualifications include experience in multidisciplinary teams, visual design, and designing for multiple platforms. | — | 5 |
| Sr. BIE, Amazon Publisher Services This role focuses on building business intelligence infrastructure and providing analytical insights for Amazon Publisher Services, a division of Amazon's Advertising business. The Senior Business Intelligence Engineer will translate business problems into analytics projects, conduct quantitative analyses, and communicate findings to senior leadership. While the role involves exploring emerging technologies like ML for building tools, its core function is in data engineering, analysis, and BI infrastructure, not direct AI/ML model development or deployment. | — | 5 |
| Sr Software Development Engineer, P&S Engineering Services Senior Software Development Engineer (SDE 3) to lead the design and delivery of cloud-native production-ready software and infrastructure. This role involves owning team-level architecture, driving technical strategy, and building scalable solutions. The candidate should have strong system design and architecture skills, experience with distributed systems at scale, and DevOps practices. Hands-on experience with generative AI technology is required. | — | 5 |
| Bid Intelligence & Automation Lead, Amazon Business - CPS This role builds and maintains the technical infrastructure for a data-driven function powered by AI-enabled decisioning within Amazon Business. The primary focus is on building tools, models, and integrations to support deal pursuit and capture strategy, including probability scoring models, deal infrastructure, BI dashboards, system integrations, and a deal similarity engine. The role also involves evaluating and piloting AI tools for proposal acceleration and capture intelligence. | Agent | 5 |
| Associate, ML Data Operations, GO-AI Operations This role is for an Associate, ML Data Operations at Amazon Robotics, focusing on data annotation for training and validating machine learning models. It's a non-technical, operational role requiring attention to detail and judgment for tasks like object detection, segmentation, and tracking in image, video, and text data. | Data | 5 |
| Senior Solutions Architect, Solutions Architecture Senior Solutions Architect focused on helping hi-tech and semiconductor companies adopt AWS cloud technologies, with a specific emphasis on Generative AI and agentic AI solutions for chip design and product development. The role involves technical engagement, cloud modernization, and driving customer outcomes with AI. | Agent | 5 |
| Physical AI Partner Solutions Architect, Partner & Industry Specialists This role focuses on partnering with AWS partners to develop and evangelize industry-specific solutions for the Manufacturing sector, leveraging cloud technologies including AI and robotics. The candidate will act as a subject matter expert, driving customer outcomes through partners and accelerating cloud adoption. | — | 5 |
| Senior Software Development Engineer, Sponsored Products and Brands - Marketplace Intelligence Senior Software Development Engineer focused on building and scaling ML infrastructure and low-latency distributed systems for Amazon's Sponsored Products advertising platform, optimizing shopper experience and integrating generative AI technologies. | Serve | 5 |
| Business Intelligence Engineer , Intelligent Talent Acquisition This role is for a Business Intelligence Engineer focused on talent acquisition. While the team works with AI systems and machine learning algorithms, the core responsibilities involve data processing, analysis, and reporting using SQL and AWS technologies. The role is adjacent to AI but does not involve building or shipping AI models directly. | — | 5 |
| Principal Security Engineer, AWS Security Lead the technical strategy for automated threat detection and mitigation systems processing large volumes of security telemetry. Identify and prototype new cross-domain detection ideas, mentor teams, and drive initiatives to production, protecting AWS customers. | — | 5 |
| Software Development Engineer, AWS Vulnerability Management (AVM) Software Development Engineer role focused on building and maintaining AWS security services, including designing and implementing machine learning-based vulnerability prediction and prioritization systems. | Agent | 5 |
| Software Development Engineer, AWS Vulnerability Management (AVM) Software Development Engineer role focused on building and maintaining AWS security services, including designing and implementing machine learning-based vulnerability prediction and prioritization systems. | Agent | 5 |
| Senior Solutions Architect, Solutions Architecture Senior Solutions Architect focused on helping hi-tech and semiconductor companies adopt AWS cloud technologies, with a specific emphasis on Generative AI and agentic AI solutions for chip design and product development. The role involves technical engagement, cloud modernization, and driving customer outcomes with AI. | Agent | 5 |
| Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on building AI-driven measurement and reporting solutions for Amazon Ads. The role involves designing and architecting scalable systems that leverage generative AI to process billions of events daily, optimize advertising performance, and provide customer insights. It requires leading technical strategy, collaborating with cross-functional teams, and mentoring engineers. | Ship | 5 |
| Software Development Engineer , Rufus Detail Page Software Development Engineer role on the Rufus team, which is a generative AI-powered shopping assistant within the Amazon Shopping app. The role focuses on designing and leading the development of customer-facing features for millions of users, involving end-to-end ownership and collaboration with product and design teams. | Ship | 5 |
| Business Intelligence Engineering Manager, Workforce Intelligence Amazon is seeking an experienced Business Intelligence Engineering Manager to lead Workforce Intelligence within Customer Service. This role will establish the long-term vision, build a team, and define measurement, experimentation, and recommendation systems to improve associate effectiveness. The manager will own the intelligence foundation for onboarding, learning, coaching, and performance management, partnering with Product Managers, Engineers, and Applied Scientists to operationalize predictive models and embed intelligence into associate experiences. The role requires building new capabilities from the ground up, focusing on developing workforce intelligence models, experimentation frameworks, and recommendation systems. | AgentEval Gate | 5 |
| Applied Scientist, Machine Learning Accelerator - Annapurna Labs This role focuses on developing a framework for creating custom tests for a Machine Learning Accelerator Chip using formal methods, SMT solvers, and custom software. It also involves using machine learning to automate content creation for the verification flow. | Data | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on designing and implementing secure, compliant, and scalable cloud architectures for public sector customers in Taiwan, with a strong emphasis on Generative AI and Agentic AI solutions using services like Amazon Bedrock and Kiro. The Solutions Architect will act as a trusted technical advisor, guiding customers from discovery and design through to implementation and launch, while navigating complex regulatory and data sovereignty requirements. | Agent | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on architecting and implementing AI-powered solutions, particularly Generative AI and Agentic AI, for retail and e-commerce customers using AWS services. The Solutions Architect acts as a trusted technical advisor, leading customer engagements from discovery to production launch, with a strong emphasis on leveraging AWS capabilities to drive business transformation and customer experience improvements. | Agent | 5 |
| Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Software Development Engineer role focused on building and operating large-scale distributed systems for ad measurement, processing 50 billion+ events daily using ML, causal inference, and AWS infrastructure. The role involves developing data pipelines, implementing ML models, and leveraging generative AI tools for development acceleration. | Serve | 5 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon, focused on building the next-generation recurring payments platform. This role involves architecting and implementing intelligent payment orchestration systems using ML/AI to optimize payment success rates, predict failures, and manage payment updates. The position also requires designing systems for global compliance, real-time risk management, customer experience, and data intelligence pipelines, leveraging AWS and machine learning services. The role emphasizes shaping product direction, architecting at scale, and leading through code. | Agent | 5 |
| Specialist Solution Architect, Developer Transformation Solution Architect role focused on helping developers adopt modern cloud-native application development practices, leveraging AI-driven tools and AWS services. The role involves customer engagement, content creation, and enabling developer communities to accelerate the design, development, and deployment of production-quality cloud-native workloads. | — | 5 |
| Sr.SAP Delivery Consultant, Professional Services - SAP This role focuses on designing and implementing AWS solutions for SAP workloads, with a significant emphasis on advising customers on AI and GenAI integration within SAP environments. The consultant will guide customers on leveraging AI capabilities like RAG and intelligent document processing within their ERP systems, acting as a trusted advisor on AI's evolving role in enterprise ERP. | — | 5 |
| Senior Analyst, Audible People & Places Senior Analyst role focused on People Analytics at Audible, leveraging data and AI/generative AI tools to drive data-informed decision-making, scale insights, and automate workflows within the HR domain. The role involves developing KPIs, building SQL data models, creating self-service dashboards, and championing AI adoption. | — | 5 |
| Senior Delivery Consultant - Data & AI, AWS Professional Services This role involves designing, implementing, and managing AWS Data & AI solutions for customers, acting as a trusted advisor on industry trends and emerging technologies. The focus is on customer-facing delivery of AI products and services within the AWS ecosystem, with a requirement for experience in developing and deploying AI/ML products at scale. | Ship | 5 |
