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 1088 active AI roles, with 1266 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 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 (7). 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 (983 roles), Canada (56 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 636 new AI-related roles. That is a -20% change versus the prior 30 days (798 → 636).
| Title | Stage | AI score |
|---|---|---|
| Software Development Manager, Featured Merchant Algorithm Manage a team responsible for the machine learning models and algorithms that select the featured offer ('Buy Box') on Amazon's product pages, influencing customer purchase decisions across billions of daily interactions worldwide. This role involves technical direction, stakeholder management, and driving the customer buying experience. | Ship | 6 |
| Data Scientist II, SCOT OSS - Sourcing Execution & Performance Data Scientist II role focused on building AI/ML models and Gen AI solutions for supply chain optimization, including inventory planning, dispute evaluation, and vendor coaching. The role involves developing analytical frameworks, setting optimal parameters, and collaborating with cross-functional teams to implement and automate science solutions. | Agent |
| 6 |
| AI Benchmarking Specialist, SP Support - Italian, International Seller Growth This role focuses on evaluating AI systems, specifically LLMs, by designing and executing benchmarking and audit activities. It involves assessing model quality, compliance, robustness, and fairness, with a strong emphasis on handling annotations for training, measuring, and improving AI models. The role also includes preparing audit reports and ensuring data quality based on annotation guidelines. | Eval GateData | 6 |
| Applied Scientist, Execution and Planning Science Applied Scientist role focused on building and implementing scalable algorithms for automated decision-making in Amazon's Last Mile delivery operations, specifically for associate labor planning, supply chain optimization, and improving cost, reliability, and speed. The role involves designing, modeling, developing, and implementing state-of-the-art models and solutions, feeding strategic analyses, and being part of production systems. | Agent | 6 |
| Sr. Product Manager, Amazon Home Services, JP Hardlines This role is for a Sr. Product Manager at Amazon Home Services in Japan, focusing on redefining the shopping experience for home goods that require professional delivery and installation. The role involves driving strategic initiatives from ideation to delivery, focusing on innovation, customer adoption, and merchandising of value-added services. The candidate will shape the long-term vision, collaborate with various internal teams, and ensure a seamless customer experience from discovery to post-sale support. The role operates in a 'Day 1' environment, inventing new experiences and impacting millions of customers. The job posting mentions the use of AI and GenAI tools to accelerate decision-making and improve efficiency, and offers opportunities for AI fluency development. | — | 5 |
| Product Manager, Marketplace Productivity Solution Product Manager for AI-powered productivity solutions in Amazon's Japanese marketplace. Responsibilities include understanding user needs, defining requirements, driving delivery with engineering and data science, and measuring impact. The role focuses on leveraging generative AI to automate processes, surface insights, and enable faster decision-making. Success requires evaluating AI output quality, designing evaluation frameworks, and iterating based on data. | Agent | 5 |
| Sr. Business Development Manager, Business Payments, Japan, Amazon B2B Payment & Lending This role is for a Sr. Business Development Manager focused on growing Amazon Business in Japan through strategic external partnerships in payments and financial services. The role involves identifying, negotiating, and launching new payment and financial services by partnering with financial institutions and technology providers. It requires developing partnership strategies, driving new service launches, and collaborating cross-functionally. The role also involves working with AI and GenAI tools that are integrated into team operations for decision-making acceleration and focus. The ideal candidate has experience in fintech, B2B commerce, and partnership innovation. | — | 5 |
| ProServe Cloud Architect, Professional Services - Taiwan Cloud Architect for AWS Professional Services in Taiwan, focusing on designing and implementing cloud solutions for enterprise customers across various industries, including AI/ML. The role involves acting as a trusted technical advisor, leading engagements, driving cloud adoption, and navigating regulatory requirements. | — | 5 |
| Data Scientist, JCI Measurement and Optimization Science Team (JCI MOST) Data Scientist role focused on optimizing logistics costs using AI and ML. The role involves designing and running quantitative studies, applying scientific methods including econometrics, statistical modeling, and machine learning, to provide recommendations for business decisions and operational investments. The work directly impacts customer experience through faster and cheaper delivery. | Ship | 5 |
| Business Intelligence Engineer, APAC Retail BI Business Intelligence Engineer role focused on deriving insights from vast retail data, building data pipelines and visualizations, and developing new Machine Learning models to predict key input outcomes for APAC retail operations. | Data | 5 |
| Program Manager, Speed, Central Operations, AMZL Japan Program Manager for Central Operations at Amazon Logistics Japan, focusing on launching new programs and improving processes and technology for last-mile delivery operations. The role involves strategic planning, cross-functional collaboration, and data analysis to drive scalable solutions. While the company utilizes AI/GenAI tools, this role is not directly building or researching AI models. | — | 5 |
| Software Development Engineer, RBS Software Development Engineer role focused on building and scaling automation solutions using Machine/Deep Learning and LLMs for Amazon's Retail Business Services. The role involves designing, developing, and deploying robust engineering platforms to solve complex business problems, improve operational processes, and enhance the customer shopping experience. It emphasizes innovation, problem-solving, and contributing to the evolution of retail automation. | Ship | 5 |
| Business Intelligence Engineer, Amazon Customer Service This role focuses on building and owning production data pipelines for diagnostic analytics within Amazon Customer Service. It involves processing large-scale transcript data, enabling multi-contact journey analysis, and producing datasets for machine-learning-driven root-cause identification and LLM-based diagnostic outputs. The role operates at the intersection of data engineering and applied AI, aiming to improve customer experience insights. | DataAgent | 5 |
| Studios & Creators Business Development Specialist, Media & Entertainment, Games and Sports This role focuses on driving cloud and AI adoption within the media and entertainment industry, specifically for studios and creators. The specialist will identify and develop business opportunities by articulating the value of cloud and AI solutions, fostering partnerships with AI-first startups, and collaborating with various internal and external teams to promote AI-enabled innovation in content creation and production workflows. The role requires deep industry expertise and the ability to engage C-suite stakeholders. | — | 5 |
| Learning Media Developer, Data Center Learning Develops and designs learning experiences and multimedia content for Amazon's global data center workforce, utilizing AI-assisted creative tools to enhance production. Manages multiple projects and ensures timely delivery of training assets. | — | 5 |
| Senior Process Engineer, Workforce Staffing This role focuses on process engineering and continuous improvement within Amazon's Workforce Staffing (WFS) organization. The Senior Process Engineer will set strategic direction for process engineering, drive variation reduction, automation, and AI adoption across recruiting workflows. Responsibilities include optimizing manufacturing and corporate processes using Lean/Six Sigma, championing AI/ML opportunities, building business cases for automation, and leading technology implementations. The role also involves establishing quality management systems and mentoring other engineers. | — | 5 |
| SDE II, Neuron Infra Services Software Engineer role focused on developing and optimizing services for AWS Inferentia and Trainium machine learning accelerators. Responsibilities include leading the design and implementation of tools, pipelines, and automation for ML workloads, managing infrastructure, monitoring performance, and ensuring security. Requires experience with distributed systems, ML optimization, and cloud technologies. | — | 5 |
| Business Analyst, Other Hardlines Central Marketing This Business Analyst role focuses on supporting marketing decisions within Amazon's Other Hardlines category by analyzing large datasets, building reports, and leveraging AI tools to accelerate insights. The role requires strong SQL and Excel skills, with a preference for experience in scripting, data visualization, and cloud data tools. While the role utilizes AI tools, it does not involve building or shipping AI models. | — | 5 |
| Economist, International Seller Services Economist role focused on the International Seller Services team, leveraging LLMs and generative AI to analyze and improve the global seller ecosystem. The role involves applying economic theory and advanced analytics to solve business problems, build frameworks, and design measurement systems for seller growth and marketplace dynamics. | Agent | 5 |
| Business Analyst Support, IN Consumer Inputs The Business Analyst Support role focuses on building data infrastructure and pipelines to power agentic AI solutions. This involves creating single sources of truth, optimizing data for AI consumption, and ensuring data quality and governance for AI-powered systems. The role requires strong SQL, ETL, and data architecture skills, with a focus on enabling self-service intelligence and automated insights. | Agent | 5 |
| Sr. Solutions Architect, Public Sector New Zealand Solutions Architect for AWS Public Sector in New Zealand, focusing on designing and advising government agencies on cloud solutions, including AI/ML services, to accelerate cloud adoption and improve citizen services. This is an advisory role, not hands-on delivery. | — | 5 |
| Senior Solutions Architect, WWPS Global Defence Partners Senior Solutions Architect for AWS WWPS Global Defence Partners, focusing on helping defence sector partners adopt and modernize using AWS cloud services, including AI/ML, HPC, and digital engineering. The role involves leading technical strategy, owning solution architecture, acting as an executive advisor, and understanding defence industry specifics like workflows and compliance. Requires independent operation, strong communication, and UK security clearance. | — | 5 |
| Startup Solutions Architect, Boston District Startups This role involves working with startups to help them leverage AWS services, including AI/ML technologies, to build and scale their businesses. The Solutions Architect will provide technical guidance, architectural design, and support adoption of AWS services, acting as a customer advocate and content creator. | — | 5 |
| Business Intelligence Engineer, Alexa 3P Quality & Experiences This role focuses on Business Intelligence for Alexa's third-party experiences, transforming customer data into actionable insights using AI-powered tools. The engineer will define quality metrics, build data pipelines for AI investigation tools, and analyze large datasets to identify defect patterns. Responsibilities include developing automated reporting solutions, complex SQL queries, scalable data pipelines, and dashboards for executive reviews, with a focus on data accuracy and statistical rigor. | Ship | 5 |
| Security Engineer II, Stores Security - HealthCare Security Engineer II role focused on designing, building, and operating detection and monitoring capabilities for Amazon Healthcare Services. The role involves securing cloud infrastructure, applications, endpoints, and AI-powered systems, with a strong emphasis on developing detection-as-code pipelines, automated response workflows, and leveraging AI/LLM tooling for enhanced security operations. It requires experience with cloud technologies, security principles, and software engineering, with a focus on protecting healthcare workloads and maintaining HIPAA compliance. | Agent | 5 |
| Senior Storage Sales Specialist, Financial Services, AWS Global Sales Senior Storage Sales Specialist for AWS Global Sales, focusing on the Financial Services sector. The role involves driving adoption and revenue growth for AWS storage services, with an emphasis on their integration with Generative AI technologies. Responsibilities include identifying customer opportunities, understanding data needs, designing storage solutions, managing the full sales cycle, and collaborating with internal teams. Requires extensive experience in technology sales, particularly in enterprise software, infrastructure, or cloud computing, with a preference for financial services industry experience. | — | 5 |
| Business Intelligence Engineer II, SCOT-FO, TVP This Business Intelligence Engineer role focuses on building analytic and reporting capabilities to optimize delivery promises within Amazon's supply chain. The role involves collaborating with science and engineering teams, defining and maintaining reports, analyzing historical data, mining data from various sources, and driving data quality improvements. It requires strong analytical, problem-solving, and data mining skills, with experience in SQL, ETL, data visualization, and statistical analysis. | — | 5 |
| Quality Assurance Engineer II, Alexa Kids Experience This role is for a Quality Assurance Engineer on the Alexa Kids Experience team, focusing on ensuring the quality of new customer features and supporting architecture. The role involves testing voice control interfaces and scalable API platforms, working closely with Product Management, Development, and Design teams to deliver high-quality products for kids and families. While the team leverages generative AI and machine learning, the core responsibilities of this QAE role are in traditional quality assurance, testing, and automation. | — | 5 |
| Senior Solutions Architect, Strategic Accounts Senior Solutions Architect for AWS, focusing on designing and implementing scalable cloud architectures for media and entertainment clients. The role involves working with content delivery, personalization engines, and generative AI experiences, translating business challenges into AWS solutions. Responsibilities include leading solution design, technical strategy, building knowledge assets, and fostering stakeholder consensus. | — | 5 |
| Sr. Go-To-Market (GTM) Specialist, GenAI & Data – Global Financial Services, ASPI - WWSO - GFS This role is a Sr. Go-To-Market (GTM) Specialist for GenAI & Data within AWS's Global Financial Services sector. The primary focus is on developing and executing GTM strategies to accelerate the adoption of GenAI services and data solutions on AWS, working with financial services customers to integrate GenAI into their business and technology transformations. The role involves understanding customer needs, articulating the benefits of AWS GenAI services (like Amazon Bedrock and SageMaker), and driving revenue and adoption by partnering with customers and internal AWS teams. | — | 5 |
| Worldwide Partner Specialist - Agentic AI, WW AI Partner GTM This role focuses on driving go-to-market (GTM) strategies and execution for AWS's agentic AI partner ecosystem. The specialist will support partner adoption of AWS agentic AI services, develop enablement content, and work cross-functionally to drive partner-led customer engagements and co-sell motions. The role involves developing GTM strategies, managing partner activation, co-marketing campaigns, joint solution positioning, and tracking GTM metrics. It operates at the intersection of partner innovation and AWS strategic initiatives in data and GenAI. | — | 5 |
| Senior Solutions Architect, AGS-NOLA-SA Centro América This role is for a Senior Solutions Architect at AWS who will partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads. A key aspect of the role involves helping customers explore and understand how AI and emerging technologies, including GenAI and Agentic AI, can drive their business forward and enhance their applications and operations. The role requires hands-on experience with cloud technologies and the ability to turn ideas into working prototypes and production-ready architectures. | — | 5 |
| Pr. Worldwide Partner Specialist - Global System Integrators, Data & AI GTM This role is responsible for defining and driving the worldwide go-to-market strategy for AWS's AI partnerships with global system integrators (GSIs). The focus is on accelerating enterprise AI adoption by GSIs, developing strategic frameworks, activating co-sell motions, and influencing senior GSI executives. The role requires creating strategy from ambiguity and executing with minimal oversight, including developing joint GTM plays, scaling enablement programs, and representing the strategy to AWS leadership. | — | 5 |
| Customer Solutions Manager, EDU & SLG Western Region - CSM This role is for a Customer Solutions Manager at AWS, focusing on the EDU & SLG Western Region. The primary responsibility is to 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 enabling customers to leverage cloud solutions and AI/ML capabilities to achieve their missions. Key activities include developing roadmaps, identifying opportunities for AI adoption, designing education and governance programs, and advocating for customer needs within AWS. The role also contributes to developing scalable mechanisms and AI-powered automation strategies to accelerate customer adoption. | — | 5 |
| Software Development Engineer II, Robotics Development and Packaging Innovation Software Development Engineer II on the Robotics Development and Packaging Innovation Experiences team, focusing on building intelligent packaging deterministic workflows and large-scale platforms. This role involves architecting end-to-end systems, integrating ML capabilities, and establishing best practices for quality and scalability, supporting sustainability goals. | Agent | 5 |
| Principal Program Manager - Tech, Alexa Native Ads This role is for a Principal Program Manager at Amazon, focusing on driving AI-powered advertising solutions across Amazon's ecosystem. The candidate will manage complex, cross-organizational programs from concept to launch, defining technical requirements, API contracts, and workback plans, while aligning stakeholders across various departments like engineering, product, operations, legal, sales, UX, and marketing. The role emphasizes delivering measurable business impact and innovating against challenging timelines within the consumer domain, specifically for advertising products that leverage generative AI. | — | 5 |
| Sr Solutions Architect, Alexa+ This role focuses on driving the adoption of Alexa+ (a Generative AI-powered personal assistant) with Tier-1 partners. The Senior Solutions Architect will provide technical consultation, design architectural frameworks, and influence product roadmaps by translating complex technical concepts into business value. The role requires strong leadership, deep technical expertise in cloud architectures and LLMs, and the ability to build strategic partnerships. | Ship | 5 |
| Sr Solutions Architect, ISV, ISV, Business Applications This role focuses on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, including Generative AI, data, and analytics, to enhance their offerings and drive customer success. The Solutions Architect will own the technical relationship, provide strategic guidance, and design cloud-native reference architectures. | — | 5 |
| Software Development Engineer, Sponsored Product and Brands Sourcing Delivery Software Development Engineer role focused on building and optimizing high-throughput, low-latency distributed systems for Sponsored Products ad delivery at Amazon. The role involves working at the intersection of search architecture, information retrieval, NLP, and deep learning at massive scale to improve ad coverage, relevance, and performance. It requires designing, developing, and operating these systems, handling billions of requests per day with millisecond response times, and innovating in core areas to advance ad matching capabilities. The team is also re-imagining advertising through generative AI technologies. | Ship | 5 |
| Sr. Worldwide Specialist - Amazon Bedrock, Amazon Bedrock This role is a Business Development Specialist for Amazon Bedrock, focusing on Go-To-Market (GTM) strategy for Models on Bedrock. The individual will lead GTM strategy, expand model choice and access for customers, define GTM strategy, lead cross-functional initiatives to expand markets, develop scalable programs to drive adoption, and identify new opportunities. Responsibilities include creating sales plays, leveraging partners, building new initiatives, providing customer feedback for product roadmaps, and working with the partner network. The role also involves market sizing, pipeline building, understanding customer use cases and technical requirements, developing joint GTM strategies with foundation model partners, creating field training content, driving industry thought-leadership, and working with product teams to define new features. The ideal candidate has a business and technology background, domain expertise in generative AI and ML use cases, technical depth to articulate Bedrock's benefits, and an understanding of GenAI market trends and LLM providers. They will interact with internal AWS teams and external customers and model providers, driving GTM plans, understanding business problems, and helping define and implement GenAI solutions. | — | 5 |
| Manager, Mass Seller Engagement, SEG - USGS This role focuses on building and managing automated mass seller engagement solutions using Generative AI tools to help US sellers expand into international marketplaces. The Manager will lead the strategy and implementation, leveraging seller data and AI to create personalized, automated nudges, and will partner with product teams to develop these Gen AI solutions. | Agent | 5 |
| Software Development Engineer (Java&AWS), Ring Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services. | — | 5 |
| Principal Planning Integration, Fleet Demand, EU Fleet Supply Chain The role focuses on re-engineering an automated forecasting model (Fleet Requirement Planning - FRP) for Amazon's EU fleet. Key responsibilities include integrating new van requirements, moving to clustering, probability-based modeling, and agentic AI, scaling optimization models with a focus on operational costs, evolving the user interface to a dashboard, integrating new supply channels, and scaling the FRP to Middle Mile. The role also involves developing a 'digital twin' for 'what-if' analysis and supporting critical business decisions. | Data | 5 |
| Program Manager II, Retail Business Services Program Manager II role focused on improving vendor experience for Amazon Sellers by leveraging generative AI, managing program lifecycles, defining new programs, and driving cross-functional initiatives to eliminate vendor contacts. | — | 5 |
| Senior Cost Engineering Manager, Cost Engineering This role is for a Senior Cost Engineering Manager at Amazon, focusing on large-scale construction projects. The primary responsibility is to lead cost engineering efforts, including should-costing, building cost models, and challenging supplier quotations. A key aspect of the role involves co-developing AI-powered costing tools and working with AI/ML teams to scale impact and improve cost intelligence. While the role leverages AI tools and contributes to their development by providing data and validation, it is not primarily focused on building AI models or agents as its core craft. | — | 5 |
| Senior Cost Engineering Manager, Cost Engineering This role focuses on leading cost engineering for large-scale construction projects, with a significant component of co-developing AI-powered tools to enhance cost intelligence and procurement processes. The individual will work alongside AI/ML teams, curate data, and validate model outputs, aiming to scale the impact of cost engineering through intelligent automation. | Data | 5 |
| Principal Customer Success Specialist - GenAI, AWS Specialist and Partner Organization This role focuses on leading strategic transformation initiatives for enterprise customers adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. The Principal Customer Success Specialist will define methodologies, frameworks, and repeatable models for AI-driven digital product delivery transformation, influencing product roadmaps, partner ecosystems, and go-to-market strategies. Responsibilities include designing transformation strategies, building repeatable methodologies, enabling partner ecosystems, managing customer success, and providing thought leadership. | — | 5 |
| Sr. Software Dev Engineer, AWS OpenSearch Service This role is for a Senior Software Development Engineer on the Amazon OpenSearch Service Control Plane team. The team manages a large fleet of cloud-native OpenSearch clusters, focusing on reliability, scalability, and automation. The role involves driving architectural decisions for large-scale distributed systems, leading design and development of complex services, and contributing to the OpenSearch project. A key aspect is building and applying AI fluency across the software development lifecycle, including using AI for code assistance and validation. The role also includes operational responsibilities and mentoring engineers. | — | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting scalable distributed systems. The team's mission is to reduce returns, costs, and waste by developing products and driving operational excellence. This includes training ML models for routing and optimization, inventing new channels for product reuse, and improving the customer returns experience. The engineer will work on complex problems, provide technical leadership, and drive best practices. | Data | 5 |
| Senior Economist, International Seller Services This role involves applying causal inference, LLMs, and generative AI to economic research for Amazon's International Seller Services. The candidate will lead a team of economists and scientists, develop economic frameworks, and provide actionable insights to business leaders. Requires a PhD in economics and experience in analytics, applied economics, and team management. | Data | 5 |
