Currently tracking 1109 active AI roles, down 11% versus the prior 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 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 |
|---|---|---|
| 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 |
| Sr. Marketing & Analytics Manager, Devices NA Sales & Marketing This role is for a Sr. Marketing Analytics Manager at Amazon Devices. The primary focus is on owning and evolving traffic and marketing reporting mechanisms, serving as an analytics expert, and conducting deep-dive analyses to identify trends and growth opportunities. The role involves developing data visualizations and automated reporting solutions, partnering with product leaders, and proactively identifying anomalies. A key aspect is identifying opportunities to leverage AI and automation tools to improve reporting efficiency and analytical depth. While the role encourages the use of AI tools, it does not involve building AI models or agents as its core function. |
| — |
| 5 |
| Finance Manager, Alexa Enterprise Frames Finance Manager for Amazon's Alexa Enterprise Frames team, an AI-powered smart glasses platform for delivery associates. The role involves financial modeling, analysis, and strategic guidance for a business at the intersection of wearable hardware, AI/ML, and logistics. | — | 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 |
| Innovation Programs Lead This role focuses on driving customer impact and business outcomes by leveraging Amazon's innovation culture and AWS technology, particularly in the areas of generative AI, agentic systems, and applied AI. The lead will facilitate executive engagements, build scalable mechanisms, and develop next-generation content to help enterprise customers realize value from their AI investments. | — | 5 |
| Sr. Engagement Manager, AWS Professional Services India This role is for a Senior Engagement Manager at AWS Professional Services in India, focusing on leading complex cloud transformation programs for enterprise customers. The role involves end-to-end delivery lifecycle management, shaping cloud strategies, acting as a trusted advisor to senior stakeholders, and leading matrixed teams. A key aspect is leveraging Agentic AI and GenAI to optimize delivery processes and drive innovation. The role requires strong program leadership, IT consulting expertise, and the ability to navigate ambiguity. | — | 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 |
| Applied Scientist, AWS Science of Security Applied Scientist in AWS Science of Security focused on building models for business applications to enhance AWS security, privacy, and sovereignty. The role involves solving complex problems, owning solution design and delivery, and providing cross-organizational technical influence. | Ship | 5 |
| Sr Sales Manager - AI Applications, Spec Sales - Amazon Connect Sales Manager for AI Applications within Amazon Connect, focusing on go-to-market strategy, customer relationships, and revenue growth for Contact Center as a Service and generative AI solutions in the central US. | — | 5 |
| Customer Solutions Manager, EDU & SLG Western Region - CSM This role is a Customer Solutions Manager (CSM) at Amazon Web Services (AWS) within the EDU & SLG Western Region. The CSM will act as a trusted advisor to government and higher education organizations, guiding them through cloud adoption, migration, modernization, and AI transformation initiatives. The role involves working backwards from customer goals, driving execution across AWS teams, and helping customers understand best practices for cloud and AI adoption, including deploying agentic AI workflows and modernizing data platforms. The CSM will also design education programs, AI readiness assessments, and governance frameworks, and serve as the customer's advocate within AWS. | — | 5 |
| BD Manager, GenAI, Global Education Business Development Manager for Generative AI within Amazon Web Services (AWS) Global Education team. The role focuses on building and executing the go-to-market strategy for generative AI solutions in the education sector, engaging with customers and partners to drive adoption of AI models on AWS. This is a sales and business development role, not a technical AI development role. | — | 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. Partner Sales Manager, Partner Sales - Canada This role is a Sr. Partner Sales Manager for AWS in Canada, focusing on driving revenue and adoption of cloud-based solutions, particularly within the Generative AI and Agentic AI enterprise software landscape. The manager will build relationships with consulting and ISV partners, create compelling value propositions, and manage sales processes to achieve revenue targets. While the role requires knowledge of Generative AI and Agentic AI, it is primarily a sales and business development function, not a direct AI/ML building role. | — | 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 |
| WFM Program Manager II, RPE This role is for a Program Manager focused on Workforce Management (WFM) systems and tools within Amazon's Selling Partner Services (SPS) operations. The role involves leading WFM-related projects, partnering with matrix teams, developing project artifacts, collaborating with BI and Data Engineering, and ensuring successful implementation of WFM solutions. While the role requires understanding of AI/ML concepts and standards, its core function is program management for WFM, not direct AI/ML development. | — | 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 |
| Solutions Architect, Solutions Architecture This role is a Solutions Architect at AWS, focusing on helping enterprise customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with cloud technologies, including migration, modernization, and security. | — | 5 |
| Senior Sales Specialist, GenAI/ML , Enterprise Senior Sales Specialist for Generative AI/ML within AWS Enterprise, focusing on driving customer adoption and revenue growth by positioning AWS GenAI services as the provider of choice. This role involves identifying customer opportunities, understanding their needs, and aligning them with AWS GenAI solutions, acting as a trusted advisor to embed and deploy these solutions. The specialist will own the full-cycle sales engagement, build account plans, and collaborate with various personas (Line of Business, Data Science, IT) to achieve business initiatives and revenue goals. | — | 5 |
| Senior Sales Specialist, Analytics, ISV Senior Sales Specialist for Analytics at Amazon Web Services (AWS), focusing on driving growth for customers building modern data foundations for Generative AI, Agentic AI, and advanced analytics. The role involves working with customers to align AWS solutions with their goals, educating them on the 'art of the possible' with data foundations for AI, and positioning AWS services like S3 Tables, Athena, EMR, Redshift, Glue, Lake Formation, Kinesis, OpenSearch, Bedrock, and SageMaker. Responsibilities include developing account plans, creating value propositions, accelerating customer adoption, maintaining a sales pipeline, working with partners, building strategic relationships, and ensuring customer satisfaction. The ideal candidate has strategic sales leadership, deep technical and business acumen in data, analytics, and AI, and can engage with C-suite and technical stakeholders. | — | 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 |
| Strategy & Operations Leader, Generative AI Innovation Centre , ProServe Business Strategy This role is a Strategy & Operations Leader for Amazon's Generative AI Innovation Centre (GenAIIC) within ProServe Business Strategy. The primary focus is on driving strategic planning, go-to-market (GTM) execution, and partner strategy for the GenAIIC portfolio. The role involves partnering with various internal teams (Business Leaders, Geo Practice, Finance, Partner Development, Central Strategy & Operations) and external partners (ISVs) to achieve results at scale. Key responsibilities include shaping portfolio direction, accelerating pipeline, scaling partner motions, and ensuring operational rigor. The role also requires developing data-driven narratives and executive presentations, driving cross-functional initiatives, and supporting business case development and resource planning. While the role leverages AI tools, its core function is business strategy and operations, not direct AI/ML model development or research. | — | 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 |
| Brand Media Lead, Ring & Blink This role is for a Brand Media Lead at Amazon, focusing on driving awareness and consideration for Ring and Blink smart security products. The role involves hands-on execution and strategic thinking across YouTube, DOOH, and Audio channels, utilizing AI-powered tools for targeting precision, campaign efficiency, and performance analysis. Key responsibilities include owning end-to-end media strategy, planning and executing campaigns, monitoring performance with AI dashboards, and collaborating with various teams. The role requires experience in marketing, data analysis, budget management, and ad platforms, with a focus on leveraging AI for measurable brand impact. | — | 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 |
| Sr Product Manager, Marketing Productivity, JP Seller Service This role is for a Senior Product Manager focused on marketing productivity tools within Amazon Japan. The primary responsibility is to understand the needs of the Japan marketing team, identify opportunities for technology (especially generative AI and automation) to improve their workflows, and develop product strategies and roadmaps. The role involves partnering with global product teams, cross-functional teams (Engineering, Data Science), and driving end-to-end product delivery. While the role leverages AI tools and focuses on AI-powered marketing, it is not a hands-on AI/ML development role. | — | 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 |
| Product Manager, Reputation Marketing & Insights, EMEA Product Manager role focused on developing and delivering national reputation campaigns across UK, Germany, and France. This role involves translating insights and business events into tactical campaigns, integrating policy narratives, managing vendors, and deploying AI capabilities for localized and effective assets. The role requires strong stakeholder management, data-driven decision-making, and staying updated on AI and marketing technology. | — | 5 |
| Marketing Manager, AI Product Marketing Operations, AWS Marketing Marketing Manager for AWS AI products, focusing on operationalizing product marketing, coordinating launches, managing enablement, and measuring marketing impact. Requires experience in marketing operations, program management, and understanding of cloud architectures, particularly in Generative and Agentic AI. | — | 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 |
| Account Manager, Early Startups , Early Stage Startups Account Manager for early-stage startups at AWS, focusing on driving adoption and revenue growth by positioning AWS as the cloud platform for building and scaling businesses. The role involves working with founders and technical teams, understanding their needs, and advising on AWS services, including generative AI and machine learning. | — | 5 |
| BI Analyst This role focuses on leveraging data to drive business insights and decision-making within AWS. While it involves collaboration with data science teams on AI/ML models, the core responsibilities are centered around business intelligence, reporting, and analysis, rather than direct AI/ML model development or deployment. | — | 5 |
| Partner Solutions Architect Manager, AI & Growth - ASEAN, ASEAN APO PSA Team This role leads a team of Partner Solutions Architects focused on enabling AI-driven consulting partners to scale their solutions on AWS. The responsibilities include setting technical strategy, driving partner enablement programs for generative AI and ML services, and managing a team of technical professionals across ASEAN. The role requires deep knowledge of AWS AI/ML services and the ability to build relationships with partner executives. | — | 5 |
| Partner Development Specialist, APJ , APJ PDS This role focuses on developing and driving Go-To-Market (GTM) strategies for AWS partners, particularly in the Generative AI space. The Partner Development Specialist will work with ISVs and SIs to build and test GTM strategies, promote partners and their solutions, and gather feedback to improve the customer and partner experience. The role requires experience with Data & AI related technologies but is not directly involved in building or shipping AI models. | — | 5 |
| Sr Manager, Product Management- Technical, Amazon Customer Service Senior Manager, Product Management - Technical to lead digital channels for Customer Service team in defining strategies for discovery, engagement, and resolution paths that enable world-class automated CS experiences. This role will lead a team of product managers while partnering with cross-functional technical teams to build innovative solutions that enable customers to effortlessly resolve their issues globally within one cohesive interaction. | Ship | 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 |
| Business Analyst I, DPWI, Selling Partner Services This role focuses on applying statistical, machine learning, and data mining techniques to analyze business data, identify risks and opportunities, and improve operational efficiencies within Selling Partner Services. While it mentions using ML and GEN AI tools, the core responsibilities are in data analysis, insight generation, and business metric development, rather than building or shipping AI models. | — | 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 |