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 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1550 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 (996 roles), Canada (60 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 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence This role is a Principal Customer Success Specialist focused on driving enterprise adoption of AWS's generative AI platform (Amazon Quick). The role involves defining strategies, building repeatable methodologies, enabling partners, and managing customer transformation to achieve business value. While it heavily involves AI concepts and platforms, the core function is customer success and product adoption strategy, not direct AI/ML model building or research. | — | 5 |
| Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements Senior Data Engineer responsible for building and maintaining backend data infrastructure for analytical platforms and applications, with a focus on leveraging generative AI and AWS services to create data products and feature stores for GenAI applications. This includes end-to-end development of data engineering solutions, architectural improvements, and ensuring data quality. | Data |
| 5 |
| Sr. Product Manager, JCI Measurement and Optimization Science Team (JCI MOST) This role is for a Senior Product Manager on the JCI Measurement and Optimization Science Team at Amazon Japan. The primary focus is on developing products and solutions for cost-to-serve measurement capabilities, collaborating with business, tech, and science teams. The role involves defining product roadmaps, identifying business challenges, and leveraging global solutions for the JP market. While the company uses AI/GenAI tools, this specific role is product management focused on operational efficiency and measurement, not direct AI/ML model development. | — | 5 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Sr. GenAI Strategist - Startups, Generative AI Innovation Center This role is for a Sr. GenAI Strategist focused on supporting startup customers in leveraging generative AI technologies to accelerate growth and achieve business outcomes. The strategist will partner with founders, VCs, and internal AWS teams to craft startup-specific programs, optimize inference costs, and develop investor-ready AI roadmaps. The role emphasizes connecting business value with scalable approaches and building relationships within the startup and VC ecosystem. | — | 5 |
| Account Executive - Education, ANZ Public Sector This role is for an Account Executive focused on selling AWS cloud services, including AI/ML solutions, to educational institutions in Australia. The primary responsibility is driving cloud adoption and revenue growth by building strategic relationships with customers and helping them implement digital transformation and AI innovation strategies. While AI/ML is a key component of the solutions offered, the role itself is sales-focused rather than directly building or researching AI models. | — | 5 |
| Senior Solutions Architect, AWS Global Sales, Energy & Utilities This role is for a Senior Solutions Architect at AWS, focusing on the Energy & Utilities sector. The primary responsibility is to work with customers to adopt AWS cloud and AI services, providing technical guidance, building solutions, and acting as a trusted advisor. The role involves creating technical content, evangelizing AWS technologies, and contributing to the growth of the Solutions Architecture organization. While AI/ML technologies are mentioned, the core function is customer-facing solution architecture and adoption, not direct AI/ML model development or research. | — | 5 |
| Solutions Architect, AGS-APJ-India-SA Solutions Architect role focused on enabling industries to build innovative solutions using AWS, with a significant emphasis on AI/ML and Generative AI technologies. Responsibilities include technical engagement, advising on architecture and design, deploying at scale, and evangelizing cloud and AI/ML adoption. The role involves understanding customer business requirements, discerning various AI/ML and data technologies, architecting for high availability and cost-efficiency, and advising on DevOps and observability. It requires deep AWS expertise and broad knowledge of application construction using AWS services, with a focus on scaling infrastructure and exceptional solutions. | — | 5 |
| Research Scientist, Private Brands Intelligence - SCIT Science Research Scientist role focused on applying ML, Optimization, Statistics, Causal Inference, and Econometrics to drive strategic business decisions and improve operations within Amazon's Private Brands. The role involves designing, developing, testing, and deploying scalable optimization solutions and ML models, with a focus on business impact and scientific excellence. | Ship | 5 |
| Principal AI Sales Specialist, Worldwide Public Sector, ANZ This role focuses on partnering with public sector customers to understand their goals, translate complex AI capabilities into business value, and support AI adoption. It involves sales cycles, account planning, and identifying AI use cases. While it mentions deploying LLMs, the core function is sales and product translation, not direct AI/ML model development. | — | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa's multilingual experience across text, voice, and visual modalities. It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and driving quality metrics for a global customer base. | Eval GateAgent | 5 |
| Senior Solutions Architect, AWS Global Financial Services, Global Financial Services Senior Solutions Architect for AWS Global Financial Services, focusing on designing scalable cloud architectures, advising on cloud migration, cloud-native development, and AI adoption for large enterprise customers in banking, insurance, and capital markets. The role involves partnering with sales, providing technical guidance, and contributing to the SA community. | — | 5 |
| Software Development Engineer, Amazon Central Sourcing Software Development Engineer role at Amazon focusing on building scalable cloud services. The role emphasizes leveraging generative AI tools to enhance development workflows, code quality, and delivery speed. Responsibilities include designing and implementing highly available services, solving complex distributed systems challenges, and contributing to operational excellence. Requires experience in software development, system design, and programming languages like Java, C++, or C#. | — | 5 |
| Account Manager Account Manager for AWS Global Sales, focusing on driving adoption and revenue growth of AWS AI and machine learning services for a strategic customer in the Latam region. The role involves identifying opportunities to solve customer challenges with AI/ML, translating technical capabilities into business value, and surfacing customer insights to product teams. | — | 5 |
| Principal Finance, Healthcare, Amazon Pharmacy This role is for a Principal Finance Manager within Amazon Pharmacy Finance. The primary focus is on strategic financial planning, analysis, and executive communication, with a strong emphasis on leveraging AI fluency, generative AI, and agentic workflows to modernize finance operations. The role involves acting as a strategic advisor, driving long-range planning, influencing cross-functional leaders, and ensuring financial controllership. While AI tools are mentioned as a core lever for impact, the core craft of the role is finance and strategy, not building AI models. | — | 5 |
| Solutions Architect - NPO, WWPS SA - NPO - Greenfield Solutions Architect for Nonprofits focused on cloud migration, professional services, Generative AI (Bedrock, AgentCore, Quick), and contact center modernization. The role involves leading customer engagements, partnering with sales to advance opportunities, and applying the GenAIIC accelerator and AIDLC framework to move PoCs to production. Requires deep AWS technical breadth, customer-facing experience, and experience with GenAI delivery. | Agent | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves acting as a long-term security architect for key customers, designing solutions across various security domains, and driving adoption of AWS security services. A significant aspect is helping customers secure their generative AI and agentic AI workloads by architecting appropriate security controls. The role also involves translating field patterns into product feedback to shape the roadmap and publishing reusable assets. It's a founding role within a new team, aiming to scale the function. | — | 5 |
| Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through cloud adoption, and advise on industry trends and emerging technologies. While the role involves knowledge of AWS services including machine learning, its primary focus is on cloud solution implementation and customer success, not direct AI/ML model development. | — | 5 |
