Currently tracking 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 active AI-related job listings. The majority of these roles, 41%, are focused on agents, with application-related positions making up another 26%. Engineering is the dominant function, accounting for 1207 of the listings. The company has seen a 20% decrease in new AI roles over the last 30 days, with 636 new positions posted compared to 798 in the preceding 30-day period.
Amazon currently has 1500 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), 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 (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 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 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
| Title | Stage | AI score |
|---|---|---|
| Solutions Architect, LATAM CSC SA Solutions Architect role at AWS focused on helping customers design and implement cloud solutions, with a preference for candidates familiar with AI/ML concepts and services. | — | 5 |
| Senior Solution Architect, Strategic Accounts This role focuses on designing and delivering production-grade AWS architectures that integrate generative AI capabilities, including foundation models and agentic patterns, to solve complex business challenges for enterprise customers. The Solutions Architect acts as a trusted technical advisor, influencing customer technology strategy and driving adoption of AWS AI services. | Agent | 5 |
| Startup Account Manager - Greenfield, India Startups Team This role is for a Startup Account Manager at AWS, focused on driving adoption and growth of AWS services among startups. The candidate will work with founders and technical teams to position AWS as their cloud platform, with a focus on emerging technologies like generative AI and machine learning. The role involves sales, business development, and customer success, with a strong emphasis on meeting revenue targets and developing strategic relationships. |
| — |
| 5 |
| Senior Startup Account Manager, ASEAN Startups Senior Startup Account Manager for AWS, focusing on driving adoption and growth of AWS services among well-funded startups in ASEAN. The role involves understanding customer needs, developing go-to-market strategies, and ensuring customer success with cloud platforms, including generative AI and machine learning technologies. | — | 5 |
| Design Tech MCAD Application Engineer, Design Technologies This role focuses on integrating AI/ML into MCAD workflows for design automation and generative design assistance within Amazon's hardware engineering teams. The primary responsibility is customizing and extending PTC Creo applications and Windchill PDM/PLM systems, with a specific emphasis on building and deploying scalable AI-powered solutions for design review and generation. | Agent | 5 |
| Software Development Manager, Leo MAC, Leo Software Development Manager to lead a team building a MAC Analyzer tool that uses ML-based anomaly detection and predictive capabilities for network diagnostics, and an automation framework for MAC features. The role involves people leadership, automation, data analytics, and ML integration to improve diagnostic processes and ensure feature validation. | Serve | 5 |
| Head of Marketing, State & Local Gov & Global Education, AWS Industry Marketing Head of Marketing for State & Local Government and Global Education at AWS, responsible for developing and executing global marketing strategies and programs. This role involves leading a team to drive industry-specific messaging, account-based marketing, global campaigns, and executive programs, positioning AWS as the leading cloud and AI provider for these sectors. The candidate will create content, technical storytelling, and experiences to influence customer adoption and shape product and go-to-market approaches. | — | 5 |
| Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting This role focuses on building and maintaining analytical tools, dashboards, and data pipelines for long-term planning and forecasting within Amazon's supply chain. While it involves leveraging generative AI tools to enhance insight generation and reporting, the core function is business intelligence and data analysis, not direct AI/ML model development. | — | 5 |
| Data Engineer, FinAuto, Accounts Receivable Data Engineering Data Engineer role focused on building an AI-First, Native-AI data platform for financial automation. The role involves creating AI-ready data products, modernizing architecture with technologies like Zero ETL and AWS DataZone, and ensuring data quality, governance, and observability for AI consumption. Requires expertise in AWS data services and data engineering fundamentals, with a strong interest in AI-driven analytics. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services Software Development Engineer II role focused on building and maintaining secure data foundations for AWS's AI-driven business applications. The role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. Responsibilities include designing and implementing software solutions for data access, storage, and analytics platforms, mentoring team members, and resolving operational issues. | Data | 5 |
| Sr. Sales Specialist, GenAI/ML, TMEGS This role is a Sr. Sales Specialist for Generative AI/ML within AWS, focusing on the Telco, Media & Entertainment, Gaming, and Sports verticals. The primary responsibility is to drive adoption and revenue growth for AWS's AI/ML portfolio by engaging with C-suite and business leaders, developing sales strategies, and collaborating with technical teams. The role involves full-cycle sales engagement, from pipeline identification to closing deals, and gathering customer insights to inform product roadmaps. While the role is focused on AI/ML products, the core function is sales and business development, not direct AI/ML model development or research. | — | 5 |
| Principal Sales Specialist, Analytics, Auto & Mfg This role is a Principal Sales Specialist focused on Analytics within the Automotive and Manufacturing sectors. The primary responsibility is to drive revenue and market share by helping customers leverage AWS analytics and AI/ML services (like SageMaker, Bedrock) to achieve business success. The role involves strategic planning, customer education, solution crafting with solution architects, and managing the sales process from evaluation to business case construction. It requires strong sales leadership, technical and business acumen, and the ability to translate complex technical solutions into business value. | — | 5 |
| Sr. Technical Program Manager, Last Mile Planning The Sr. Technical Program Manager will manage large, complex programs with multi-year projects, focusing on delivering innovative technologies for Amazon's Last Mile delivery operations. This role involves managing cross-functional programs, creating technical solutions for new businesses and strategic initiatives, and building scalable technology platforms. The ideal candidate will have a strong program management background, experience leading medium to large projects, and a technical understanding of e-commerce and supply chain technologies. They should be comfortable with ambiguity and able to drive strategic initiatives while also executing hands-on tasks, anticipating bottlenecks, managing escalations, and balancing business needs with technical constraints. | — | 5 |
| Software Development Engineer, Alexa Connected Devices Software Development Engineer role focused on building and operating Tier-1 cloud services for Alexa+, a next-generation AI-powered personal assistant. The role involves designing scalable services, leveraging generative AI in development workflows, and collaborating with cross-functional teams to deliver customer-facing features. While the role uses AI extensively, it focuses on the engineering and operational aspects of AI-powered products rather than core AI research or model development. | Ship | 5 |
| Migration & Modernization Solutions Architect - Data & Analytics, Migration & Modenization This role is for a Solutions Architect at AWS focusing on Data & Analytics solutions, helping customers leverage AWS services for Big Data, real-time processing, business intelligence, and machine learning. The architect will design and implement customer analytics solutions, develop engagement strategies, contribute to thought leadership through publications, and support customer success in building and migrating applications on AWS. The role involves collaborating with field teams, partners, and internal stakeholders to drive adoption of AWS analytics services. | — | 5 |
| Software Development Engineer II, Sponsored Products and Brands Software Development Engineer II role focused on building and maintaining generative AI technologies for Amazon Ads' Sponsored Products and Brands, revolutionizing customer discovery and brand engagement. The role involves the full software development lifecycle, collaborating with data scientists, and establishing best practices for AI-driven advertising solutions. | Ship | 5 |
| Program Manager, ACES(業務改善), ROC, Amazon Transportation Services, Amazon Transportation Services Relay Operation Center This role focuses on improving operational quality, safety, and cost within Amazon's transportation network by analyzing data, implementing standardized and automated processes, and developing new technology-driven workflows. It involves identifying improvement opportunities, collaborating with delivery partners, and contributing to a scalable and sustainable transportation network. The role also involves leveraging AI and GenAI tools to enhance decision-making and operational efficiency. | — | 5 |
| Software Development Engineer II, SES Software Development Engineer II role within AWS Applied AI Solutions, focusing on building and improving backend and customer-facing email services. The role involves developing reliable, scalable, and fault-tolerant solutions, collaborating with other engineers and technology leaders, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, including architecture, training/inference lifecycles, and optimization. | Serve | 5 |
| Software Development Engineer II, SES Software Development Engineer II role within AWS Applied AI Solutions, focusing on backend and customer-facing systems for Amazon Simple Email Service (SES). The role involves building reliable, scalable solutions, collaborating on complex technical challenges, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, architecture, training/inference lifecycles, and model optimization. | Serve | 5 |
| Sr Product Manager Technical - ES, AWS Communication Developer Services The Senior Product Manager Technical for AWS Communication Developer Services will define and own product strategy, feature design, and technology approach for an externally-offered service. This role involves managing both development and business aspects, setting strategic direction, serving as the Voice of the Customer, and driving engineering and go-to-market commitments. The role will leverage generative AI and agentic experiences to reimagine messaging workflows and create new capabilities, operating with autonomy in a fast-paced environment. | Agent | 5 |
| 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 |
| Principal Technical Product Manager, AWS Communication Developer Services The Principal Technical Product Manager will define and own the product strategy, feature design, and technology approach for an externally-offered service within the AWS Applied AI Solutions organization. This role involves working with emerging technologies like generative AI and agentic experiences to reimagine messaging workflows and create new capabilities. The product manager will serve as the Voice of the Customer, define the service vision, business strategy, and technology strategy, and make trade-off decisions to ship the right product faster. The role also includes owning launches, post-launch performance, and critical incident response. | Agent | 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 |
| Software Development Engineer, ML Infrastructure Team Software Development Engineer II for the ML Infrastructure team at AWS, focusing on building and optimizing platforms for ML and HPC technologies. The role involves developing CI/CD systems, orchestrating GPU clusters, creating performance dashboards, and implementing AI-powered automation to ensure the reliable and performant delivery of ML networking software and support new EC2 instance types. | Serve | 5 |
| Sales Manager, Telco NEPs & ISVs - EMEA, AWSI Telco EMEA Sales Manager for AWS Telco NEPs & ISVs in EMEA, focusing on driving revenue growth and cloud adoption by leveraging Agentic AI to transform the Telco operating model. This role involves leading a sales team, building executive relationships, and identifying new revenue streams at the intersection of cloud, telecommunications, and AI. | — | 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 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building high-performance, scalable end-to-end systems for Amazon's Sponsored Products and Brands advertising platform. The role involves designing and developing services that handle billions of requests daily with strict latency and SLA requirements, operating on massive datasets using distributed frameworks, and collaborating across teams to deliver customer-focused solutions. While the team mentions generative AI technologies, the core responsibilities are in building and operating large-scale advertising systems. | — | 5 |
| Geographic GTM-BD, Amazon Connect, WW GTM & Business Development, Connect This role is a quota-carrying Business Development professional responsible for driving the adoption and revenue growth of Amazon Connect, AWS's cloud-based contact center solution, within an assigned geographic territory. The role involves working with field sales teams, customers, and partners to identify opportunities, develop pipeline, and accelerate deal cycles, requiring a blend of technical acumen, sales expertise, and the ability to articulate the business value of modern contact center transformation. | — | 5 |
| Senior Product Manager - Technical, Denied Party Screening, AWS Compliance & Security Assurance This role is for a Senior Product Manager, Technical, focused on Denied Party Screening (DPS) products within AWS Compliance & Security Assurance. The core responsibility is to own the product roadmap and drive innovation for DPS products, which use algorithms, machine learning, and domain expertise to detect and prevent prohibited transactions. The role involves customer pain point identification, requirement definition, cross-functional partnership with engineering, legal, and compliance teams, and managing execution to deliver scalable screening products that meet technical and regulatory requirements. While AI/ML is mentioned as a tool, the primary focus is on product delivery and compliance in a regulated environment. | — | 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 |
| Data Scientist I, Demand Forecasting Data Scientist role focused on demand forecasting within Amazon's supply chain. Responsibilities include developing and supporting data science methodologies, building models for forecasting, bias correction, and contributing to GenAI/LLM research for explainability. The role involves designing and analyzing A/B tests, deriving causal inferences, and communicating insights to stakeholders. The primary artifact is the improved forecast, which directly impacts business decisions like inventory management and labor planning. | Ship | 5 |
| Software Development Engineer , Amazon Customer Service Software Development Engineer on the Data Intelligence team within Amazon Customer Service. The role focuses on designing and building robust, secure data infrastructure systems, including real-time data processing, secure storage, and privacy-compliant data access layers. A key responsibility is building infrastructure that supports the complete lifecycle of AI models, from development to production deployment, and collaborating with cross-functional teams to create enterprise-scale data processing systems and data products. | ServeData | 5 |
| Software Development Engineer , Amazon Customer Service Software Development Engineer on the Data Intelligence team within Amazon Customer Service. The role focuses on designing and building robust, secure data infrastructure systems, including real-time data processing, secure storage, and privacy-compliant data access layers. A key responsibility is building infrastructure that supports the complete lifecycle of AI models, from development to production deployment, and collaborating with cross-functional teams to create enterprise-scale data processing systems and data products. | ServeData | 5 |
| Software Development Engineer , Amazon Customer Service Software Development Engineer on the Data Intelligence team within Amazon Customer Service. The role focuses on designing and building robust, secure data infrastructure systems, including real-time data processing, secure storage, and privacy-compliant data access layers. A key responsibility is building infrastructure that supports the complete lifecycle of AI models, from development to production deployment, and collaborating with cross-functional teams to create enterprise-scale data processing systems and data products. | ServeData | 5 |
| Product Marketing Manager, Marketing Automation, Amazon Fuse Product Marketing Manager for Amazon Fuse, focusing on marketing automation products including AI-powered approval workflows and creative generation tools. The role involves owning go-to-market strategy, partner adoption, and customer success, acting as a bridge between product and partners. Responsibilities include positioning, launching, driving adoption, gathering feedback for product roadmap, owning measurement and reporting, and managing vendor relationships. The role leverages generative AI to improve marketing efficiency and enhance partner marketing experience. | — | 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 |
| Software Development Engineer, Alexa Plus International Software Development Engineer role focused on building and scaling the international platforms for Alexa+, specifically the feature gating infrastructure and multilingual speech and language systems. The role involves designing and owning distributed services, driving architecture decisions for multilingual experiences, and applying Generative AI tooling in daily engineering tasks. The goal is to bring Alexa+ to every customer globally, expanding language support and launching in new countries. | Ship | 5 |
| Senior Business Development Manager, Frontier-AI Go-To-Market, AWS, Frontier AI Platform This role is a Senior Business Development Manager for AWS's Frontier AI Platform, focusing on Go-To-Market strategies for GenAI startups. The individual will leverage their business savvy and GenAI background to position AWS as the preferred cloud provider, build strategic partnerships, drive revenue and adoption, and act as a trusted advisor to startups. The role involves engaging with C-suite executives and technical architects, developing GTM plans, and understanding AWS offerings like Sagemaker and Bedrock. | — | 5 |
| Senior Solutions Architect, Solutions Architecture Senior Solutions Architect for AWS Hi-Tech & Semiconductor team, focusing on helping customers modernize infrastructure and adopt GenAI and agentic AI solutions. The role involves technical engagement, architectural guidance, and driving customer success with AWS services, particularly in compute-intensive workloads and generative AI applications for chip design and product development. | Agent | 5 |
| AI Strategist, Generative AI Innovation Center This role is for an AI Strategist within AWS's Generative AI Innovation Center. The primary focus is on supporting customers in enhancing their business or operational outcomes using advanced technologies like machine learning and generative AI. The strategist will partner with various AWS teams and customers to craft industry-specific programs, develop roadmaps, and ensure customer success in ideating and deploying AI solutions. The role requires a blend of business acumen, interpersonal skills, and technological understanding, with a strong emphasis on connecting business value to scalable and repeatable approaches. While the role involves discussing and guiding customers on AI/ML technologies, it does not involve direct development or shipping of AI models or agents, but rather focuses on strategy, program development, and customer enablement for AI adoption. | — | 5 |