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.
Currently tracking 1072 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 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 613 new AI-related roles. That is a -23% change versus the prior 30 days (793 → 613).
| Title | Stage | AI score |
|---|---|---|
| Senior Strategic Supply Chain Manager, Amazon Private Brands This role is for a Senior Strategic Supply Chain Manager at Amazon Private Brands. The primary focus is on owning supply chain strategy and execution for import-heavy portfolios, optimizing availability, speed, and operational excellence. Key responsibilities include managing inventory health, auditing buying and forecasting models, driving process improvements, and identifying cost optimization initiatives. The role involves partnering with global and cross-functional teams, leveraging data-driven decision making, and utilizing AI-powered tools for monitoring and automation. While AI tools are used, the core craft is supply chain management, not AI/ML model development. | — | 5 |
| Data Scientist, Prime Video Sports This role focuses on data science for Prime Video Sports, shaping customer discovery and experience through measurement frameworks, experimentation systems, and analytical foundations for Search, Recommendations, and live broadcasts. It involves large-scale experimentation, novel measurement methodologies, and data-driven decisions to address challenges in live, time-sensitive content and customer engagement. |
| — |
| 5 |
| Product Marketing Manager, Amazon Payments Products Product Marketing Manager for Amazon credit cards, leading content optimization (A/B testing) on a proprietary ML advertising platform. Responsibilities include owning a roadmap, building tests, scaling learnings, and improving customer conversion across the acquisition funnel. This role involves partnering with marketers, data scientists, designers, and product managers, with a focus on regulatory and compliance requirements. | — | 5 |
| Team Manager - German or Italian, Artificial General Intelligence Data Services , AGI Data Services This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization. The team focuses on data creation, curation, and analytics to support the development and training of Alexa AI, specifically improving speech recognition and language understanding capabilities. The manager will oversee daily operations, hiring, training, performance monitoring, scheduling, and process improvement, working closely with ML Science teams. While the team supports AI development, the manager's core responsibilities are operational and people management, not direct AI/ML model building. | — | 5 |
| Software Engineer II, Selection Monitoring Software Engineer II role focused on building and operating large-scale data processing systems for Amazon's catalog intelligence. The role involves applying ML/DL algorithms, designing data pipelines, and ensuring data quality for business decisions. It emphasizes data engineering, real-time/batch processing, and distributed systems at cloud scale. | Data | 5 |
| Software Engineer II Selection Monitoring, Selection Monitoring This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale. | Data | 5 |
| Software Development Manager - AWS Identity & Access, AWS IAM Identity Center This role is for a Software Development Manager on the AWS Identity team, focusing on secure identity, access, and resource management for AWS customers. The team leverages machine learning and automated reasoning for access control and aims to build scalable, core technologies for authentication and authorization. The role involves managing and growing an engineering team, driving technical design, and delivering high-performing, reliable systems in a cloud computing environment. | — | 5 |
| Business Intelligence Engineer, PXT, AWS Region Services This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting. | Agent | 5 |
| Sr. Solutions Architect , WWPS - HCLS - Life Sciences This role is for a Sr. Solutions Architect in Healthcare & Life Sciences (HCLS) at AWS. The primary focus is on designing and architecting cloud solutions for HCLS customers, with a significant emphasis on leveraging Artificial Intelligence, Machine Learning, and Generative AI to address industry-specific challenges and accelerate adoption of AWS services. The role involves customer-facing technical design guidance, prototyping, and supporting migration efforts, with a specific mention of building Generative AI prototypes for drug discovery. | Agent | 5 |
| Ontologist, Product Knowledge Ontology This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. It involves creating semantically rich data models, ensuring machine ingestibility, researching product understanding, and utilizing generative AI for schema creation. The goal is to enhance product discoverability and customer experience. | Data | 5 |
| Legal Program Manager This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role. | — | 5 |
| Software Development Manager, Merch On Demand Software Development Manager for Amazon's Merch on Demand business, leading a team responsible for the Merch Portal and Kit Your Team programs. The role involves managing engineers, owning technical vision, driving expansion into new markets, and operating large-scale production systems. While the team utilizes AI for store creation, the core focus is on product development and management of existing large-scale systems. | — | 5 |
| Senior Financial Analyst, Selling Partner Services, FP&A This role is for a Senior Financial Analyst focused on Headcount and Operating Expense FP&A within Amazon's Selling Partner Services. The role involves enterprise-wide impact through establishing reporting standards, influencing strategic decisions, and pioneering AI-powered financial analytics and automation. Key responsibilities include leading reporting, forecasting, designing automated dashboards, and identifying process automation opportunities. While the role emphasizes AI tool development and adoption for FP&A, it does not involve building core AI models but rather leveraging AI tools for financial analysis and automation. | — | 5 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS This role focuses on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI, for Healthcare and Life Sciences customers on AWS. The Solutions Architect will build prototypes, provide technical guidance, and create reference architectures to accelerate customer adoption of AWS services in the HCLS domain. | Agent | 5 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams. | ShipAgent | 5 |
| Data Scientist II - AMZ27022.1 Data Scientist II role at Amazon Web Services focusing on designing and implementing scalable data science approaches, acquiring data via SQL/ETL, and building statistical and machine learning models using large datasets. The role involves analyzing data, validating models, and implementing them with consideration for computational demands and reliability. | Data | 5 |
| Senior Startup Investor Manager, (VC and Angel) , AWS Worldwide Startups This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies like generative AI, combined with business acumen, to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The primary focus is on supporting initiatives between the investment community and AWS to help startups grow. | — | 5 |
| Sr. Technical Program Manager , Amazon Customer Service Sr. Technical Program Manager for Amazon Customer Service, focusing on scoping, planning, and execution of complex, cross-functional projects. The role involves partnering with engineering teams to deliver self-service automation products based on generative AI, aiming to empower customers to resolve issues quickly and efficiently. | — | 5 |
| Sr. Solutions Architect, Healthcare This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on the Healthcare industry. The primary responsibility is to help healthcare providers implement innovative cloud computing and AI solutions, solve technical problems, and enhance patient and clinician experiences. The role involves owning technical engagements, defining implementation architectures, responding to RFPs, and acting as a subject matter expert on security. While the role involves working with AI solutions, the core craft is not building AI models but rather architecting and implementing cloud solutions that leverage AI for healthcare clients. | — | 5 |
| Ontologist, Product Knowledge This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data. | Data | 5 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models. The role requires providing technical guidance, architecting solutions, supporting the adoption of AWS services, and advocating for customer needs with product teams. It also involves creating technical content and presenting at events. | ServePost-train | 5 |
| Sr. Solution Architect, Startups This role is for a Senior Solutions Architect at AWS, focusing on supporting early-stage startups in building scalable and secure architectures on the AWS cloud. The role involves working directly with customers, making technical decisions, advocating for product needs, and creating technical content. While Generative AI and Cloud Computing are mentioned, the core function is not AI/ML model development but rather enabling customers to leverage cloud services, including AI services. | — | 5 |
| Solution Architect, Startups Solution Architect for startups, focusing on AWS cloud adoption and Generative AI. The role involves working with early-stage companies to design scalable and secure architectures, acting as a trusted advisor, and advocating for product improvements. It also includes creating technical content and presenting at events. | — | 5 |
| Solution Architect, Startups Solution Architect for startups at AWS, focusing on helping early-stage companies build scalable and secure cloud architectures, with a focus on Generative AI and Cloud Computing. | — | 5 |
| Sr. Product Manager - Tech, Cross Border and International Expansions This role is for a Senior Product Manager - Tech at Amazon, focusing on Cross Border and International Expansions. The core responsibility is to drive product strategy, roadmap planning, and end-to-end execution for complex initiatives. While the role is primarily product management, it explicitly mentions leveraging generative AI tools to enhance workflow efficiency, craft prompts, evaluate AI outputs, and integrate AI solutions into products and services, indicating an AI-adjacent function. | — | 5 |
| Product Marketing Manager - Tech, AWS Marketing Product Marketing Manager for AWS, focusing on AI app and agent building products like Amazon Bedrock. The role involves translating complex cloud solutions into customer value, shaping product strategy, developing messaging, and acting as a product evangelist. Requires a blend of technical and business strategy skills to influence product roadmaps and drive go-to-market strategies for AI offerings. | — | 5 |
| Senior Solutions Architect, Enterprise FSI, Switzerland Senior Solutions Architect for AWS in Switzerland, focusing on enterprise financial services customers. The role involves leading technical strategy, designing scalable and compliant architectures, and guiding customers in adopting agentic AI workloads, generative AI applications, and intelligent automation. Responsibilities include technical thought leadership, mentoring, and contributing to the AWS knowledge base with best practices and reference architectures for AI/ML implementations and agentic patterns. | Agent | 5 |
| Sr. Technical Program Manager - AI/ML Hardware, Annapurna Labs - Server & Rack Delivery - Trainium Hardware This role is for a Sr. Technical Program Manager focused on AI/ML hardware, specifically server and rack delivery for accelerator silicon like Trainium. The role involves program managing the design, implementation, and integration of new server generations, working with cross-functional teams (hardware, silicon, firmware, software), and ensuring high-quality hardware and software systems for AI/ML workloads. While the hardware supports AI/ML, the core function is program management of hardware development, not direct AI/ML model building or research. | — | 5 |
| Senior Delivery Consultant: Modernisation, AWS Professional Services Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development. | — | 5 |
| Software Development Engineer III, Alexa Smart Home (Level 6), Smart Home Setup Software Development Engineer III (Level 6) for Alexa Smart Home, focusing on designing, developing, testing, and deploying cloud services that streamline connectivity between Alexa-enabled devices and the Alexa Cloud. The role involves leading technical design, architecting scalable services for billions of devices, and contributing to the evolution of Alexa into an intelligent home companion. Experience in leading technical projects, mentoring junior engineers, and working across various components like Alexa skills, voice user interfaces, and IoT devices is expected. The role aims to improve customer experiences in the smart home environment. | — | 5 |
| Account Executive Industry Sales, AWS Aotearoa / New Zealand Account Executive for AWS Enterprise Sales in New Zealand, focusing on driving adoption of AWS services, including Generative AI and agentic AI, to accelerate digital transformation and business growth for strategic enterprise accounts. | — | 5 |
| Catalog Specialist, WWRR Science Annotation Team This role supports Machine Learning (ML) models and classification algorithm development by performing data annotation, ensuring high-quality annotated data for training and evaluation, and collaborating with product, technology, and science teams. The focus is on data preparation for ML models. | Data | 5 |
| Catalog Specialist, WWRR Science Annotation Team The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation, supporting data scientists, and ensuring high-quality annotated data for training and evaluation. | Data | 5 |
| Software Development Engineer, Ring Software Development Engineer to build cloud services and tools that streamline firmware testing for Ring and Blink device software teams. The role involves integrating these services with firmware teams, including those building agentic workflows, and applying generative AI for test analysis and developer workflows. | Agent | 5 |
| Senior Customer Success Specialist, Connect Specialty Sales Senior Customer Success Specialist for Amazon Connect, a CCaaS solution leveraging generative AI. This role focuses on driving customer adoption, managing strategic accounts, and achieving revenue targets by acting as a strategic advisor and leading cross-functional teams. Requires experience in CCaaS or similar SaaS solutions and a passion for customer experience. | — | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building backend systems for Ring devices, with an emphasis on low-latency and high-uptime. The role involves designing, implementing, and testing distributed systems and microservices, with a secondary mention of leveraging generative AI tools for development productivity. | — | 5 |
| Software Development Engineer II, FGBS Software Development Engineer II role focused on building innovative automated solutions for FinTech customers, leveraging AWS cloud, machine learning algorithms, and distributed systems. The role involves driving architectural decisions, developing distributed services, and ensuring scalability and reliability. | Serve | 5 |
| Sr. Technical Program Manager, Offers Platform, Catalog Systems, ASCS The Technical Program Manager will drive programs for the Offers Platform team within Amazon Selection and Catalog Systems (ASCS). This role focuses on Offer Projections and Insights, and Catalog Vending, with a significant emphasis on integrating generative AI and agentic technologies into both product features (e.g., agentic shopping) and development processes. The position involves managing large-scale, cross-functional programs, defining roadmaps, and collaborating with engineering leaders to deliver complex initiatives at low latency. | Agent | 5 |
| Software Development Engineer, Global Real Estate and Facilities Tech Software Development Engineer role focused on building scalable, multi-tiered software applications for Global Real Estate and Facilities Tech at Amazon. The role involves designing and developing systems, leading engineering best practices, driving architectural decisions, and implementing innovative solutions. While the team uses a GenAI-forward approach including AI pair programming and spec-driven code generation, and the candidate is expected to use generative AI tools to enhance workflow efficiency and integrate AI capabilities into products, the core craft of the role is software development for real estate management systems, not building core AI models or agents. | — | 5 |
| Software Development Engineer, AWS Identity Software Development Engineer for AWS Identity team to build products combining automated reasoning and technology for IAM Access Analyzer, recommending access control for AWS customers. Focus on designing scalable solutions, delivering customer-facing functionality, and leading projects using data analysis and machine learning techniques. | Agent | 5 |
| Sr. Solutions Architect, AWS Industries India This role is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, providing technical leadership, and driving revenue growth by understanding and implementing advanced cloud solutions. While the role touches upon various technologies including machine learning and analytics, its core function is in cloud architecture and solution implementation, not direct AI/ML model development. | — | 5 |
| Data Scientist, Advertising, AMPI Measurement This role focuses on building and maintaining production-grade causal inference and machine learning systems for marketing attribution within Amazon's advertising ecosystem. The Data Scientist will own end-to-end modeling pipelines, from problem formulation and experimental design to model development, productionization, and stakeholder communication, aiming to measure marketing effectiveness and drive advertiser growth. | Ship | 5 |
| Software Dev Engineer II, Amazon FinAuto - Procurement Tech Software Development Engineer II role focused on building modern, cloud-native procurement applications with AI-powered assistance for Amazon's global workforce. The role involves end-to-end feature development, technical decision-making, and collaboration with cross-functional teams. | — | 5 |
| Data Scientist III, Customer Strategy Data Scientist III role focused on building and deploying machine learning models for customer segmentation, personalization, and optimization in a consumer retail setting. The role involves applying causal inference, LLMs, and advanced optimization techniques to drive evidence-based decisions and improve customer experiences across various channels. Collaboration with engineering for data pipelines and serving infrastructure is key, with a focus on translating analytical results into actionable business strategies. | ShipData | 5 |
| Principal Solutions Architect, Startups This role focuses on working with early-stage startups to help them leverage AWS technology at scale, including deep learning and generative AI. The Solutions Architect will provide technical strategy, design solutions, serve as a trusted advisor, and advocate for customer needs with product teams. The role also involves creating technical content and presenting at events. | — | 5 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design to enable machine learning execution. The primary focus is on the low-level software that drives the hardware for ML inference. | Serve | 5 |
| Software Development Engineer, Retailer Ad Service Software Development Engineer role focused on building and evolving a new confidential advertising program using generative AI technologies within Amazon Ads. The role involves prototyping, developing real-time and big data systems, and collaborating with scientists and economists on ML-based approaches to improve advertising experiences. | Ship | 5 |
| Solutions Architect, Enterprise, Europe-Central Solutions Architect Solutions Architect for AWS focusing on enterprise customers in the Retail and Consumer Goods industry. The role involves designing, building, and refining technical solutions, with a focus on applied AI and cloud-based software. Responsibilities include customer interaction, architectural design, and sharing best practices. Experience with Generative AI and agentic AI solutions is preferred. | — | 5 |
| Product Manager, International - Content & Category Expertise, Amazon Rufus Product Manager for Amazon's AI shopping assistant (Rufus), focusing on expanding its content and category expertise in international markets. The role involves improving knowledge base, enhancing search capabilities, ensuring local relevance, designing new content-led experiences, and driving experimentation to optimize content strategy. It requires collaboration with regional stakeholders and technical teams to deliver world-class AI-powered shopping experiences globally. | — | 5 |
| Sr Network Planning Manager, Network Planning as a Service This role focuses on strategic network planning for Amazon Leo's B2B Customer Service organization, using AI tools, machine learning, and automation for forecasting and capacity planning. It involves integrating AI chatbot metrics, designing workforce strategies, and collaborating with various teams to optimize operations and customer experience. | — | 5 |