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 1109 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 1575 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1022 roles), Canada (59 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Solutions Architect, FedCiv, WWPS SOLUTIONS ARCHITECTS Solutions Architect for US Federal Civilian Government agencies, focusing on implementing AWS solutions involving AI/ML, security, compute, storage, networking, serverless, and analytics. Acts as a subject matter expert on Generative AI/ML, owning technical engagements and defining implementation architectures. Requires strong AWS background, communication skills, and understanding of US Federal Government best practices for cloud solutions. Experience with Generative AI application building and deployment is preferred. | Agent | 5 |
| System Architect, Hardware Architecture System Architect role focused on defining hardware and silicon architecture for Amazon's consumer electronics products, including decisions on compute architecture, ML accelerators, and system components. The role involves tracking market trends, defining roadmaps, and collaborating with cross-functional teams throughout the product development lifecycle. |
| — |
| 5 |
| Applied Scientist, Last Mile Science The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems. | Ship | 5 |
| Data Engineer, PXT Central Science Data Engineer role focused on building and maintaining data pipelines, feature extraction frameworks, and APIs for productionizing science models within Amazon's People Experience and Technology (PXT) Central Science team. The role involves using AWS services for data processing, model serving, and integration with other engineering teams. | Serve | 5 |
| Software Development Engineer, Player Team Software Development Engineer role focused on designing, architecting, and implementing machine learning solutions for audio ad systems at Audible. The role involves optimizing ad serving pipelines, real-time ad serving, and conversational AI integration, with a focus on scalable systems and customer experience. | Serve | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| UX Manager – Amazon Ads on Devices, Amazon Ads UX Manager for Amazon Ads on Devices (Fire TV, Fire Tablet, Alexa, Echo) responsible for end-to-end advertising experiences. The role involves owning design strategy, driving cross-publisher alignment, and integrating AI into the design process to accelerate delivery and unlock creative possibilities. Focus on shipping high-quality, native ad experiences that respect customer experience and deliver advertiser results. | Ship | 5 |
| UX Manager – Display Advertising Experiences, Amazon Ads UX Manager for Amazon Ads, leading a team to create display advertising experiences. The role involves integrating AI into the design process to accelerate delivery and enhance quality, focusing on shipping high-quality experiences on time and at speed. | — | 5 |
| Sr. AI & Emerging Tech Specialist , Emerging Technology This role is for a Sr. AI & Emerging Tech Specialist on the AWS National Security Emerging Technology team, focusing on supporting US Defense and Intelligence customers. The primary responsibility is to develop customer use cases, drive adoption of emerging technologies like generative AI, and shape go-to-market strategies. The role involves collaborating with account teams, understanding customer mission needs, and operationalizing AI at scale in secure environments. It requires a strong sales focus and the ability to negotiate and close complex AI and emerging technology opportunities. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Software Development Manager, EDM This role is for a Software Development Manager at Amazon, leading a team focused on revolutionizing document management experience using AI-powered solutions and AWS services. The team aims to deliver personalized, efficient, and intelligent document management at scale, combining AWS services with generative AI to anticipate employee needs and connect service teams. | Agent | 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 |
| Software Dev Engineer II, AWS Builder Acceleration Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams. | Agent | 5 |
| Evangelist III, Tech - AMZ9443305 This role focuses on creating technical content (tutorials, guides, demos) to help developers understand and adopt AI-assisted development tools, specifically Amazon Q Developer. The goal is to improve developer productivity and showcase practical workflows. It involves hands-on coding, community engagement, and influencing product roadmaps based on developer feedback, but has no sales quota or revenue targets. | Ship | 5 |
| Data Scientist II - AMZ27028.1 Data Scientist II at Amazon Web Services (AWS) in Houston, TX. This role involves designing and implementing scalable data science approaches, acquiring and analyzing data using SQL/ETL, and building models with statistical and machine learning techniques. The position requires a Master's degree or equivalent experience and proficiency in SQL, R, Python, or MATLAB for model building and data analysis. | Data | 5 |
| Sr. Technical Program Manager, Amazon Customer Service This role is for a Sr. Technical Program Manager at Amazon Customer Service, focused on optimizing AWS service usage and budget for cloud infrastructure. The role involves partnering with Finance to drive efficiency, assess fleet efficiency, validate capacity assumptions, investigate cost drivers, and execute optimizations. It requires technical expertise in cloud infrastructure, business acumen, and program management rigor to manage ambiguity and influence stakeholders. The role also involves understanding Generative AI adoption and efficiency within the customer service context. | — | 5 |
| Director, AWS Database, Analytics & Storage Solutions Architecture, Database & Analytics GTM Director of AWS Database, Analytics & Storage Solutions Architecture leading a global team to drive technical customer engagement, solution design, and adoption across AWS's data portfolio, with a focus on preparing data for the agentic AI era and leveraging AI/agentic technologies to enhance SA effectiveness. | Agent | 5 |
| Data Scientist III - AMZ9971193 This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and bridging uncertainty in problem definition and solution approaches. | Data | 5 |
| Program Manager, Customer Experience and Insights Team Program Manager for Amazon's Ring and Blink Customer Experience and Insights Team, focusing on AI-driven transformation. The role involves leveraging generative AI and machine learning to identify and resolve customer contact drivers, improve customer experience, and drive automation. Responsibilities include AI strategy, program management, stakeholder engagement, and mentoring junior team members on AI adoption. | Ship | 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 |
| 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 |
| 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 |
| 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. 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 |
| 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 |
| 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 |
| Specialist Strategy & Sales Operations Lead, Specialist Strategy & Sales Operations This role focuses on driving data-driven decision-making and operational excellence for the AWS Specialist and Partner organization within AWS Industries. The Specialist Strategy & Sales Operations Lead will act as a strategic business partner, translating complex data into actionable insights, shaping strategic direction, and managing mission-critical frameworks like territories, quota, and forecasting. A key aspect of the role involves leveraging AI and ML technologies to enhance sales processes and decision-making, ensuring responsible implementation to drive business impact and augment the sales organization's productivity. | — | 5 |
| Economist II, People Experience and Technology Central Science Economist role focused on applying economic methods, statistics, and machine learning to improve business processes and employee well-being. Involves estimating models, designing experiments, and transforming prototypes into scalable solutions, working closely with engineers and computer scientists. | — | 5 |
| Sr. Product Manager, North America Languages Experience This role is for a Senior Product Manager focused on enhancing the shopping experience for Spanish and French-speaking customers in North America. The role involves identifying gaps in the customer journey, driving solutions, and envisioning innovative experiences leveraging AI/ML and generative AI. The primary focus is on delivering improved customer experiences within the consumer domain, with AI/ML being a tool to achieve product goals rather than the core craft of the role. | — | 5 |
| Blink Learning Experience Designer , Learning Experience Team This role focuses on designing and developing learning modules using AI tools and methodologies to accelerate content creation and transform learning experiences for associates. The primary goal is to create AI-enhanced learning solutions that impact a large number of users. | — | 5 |
| Senior Solutions Architect - AWS WWPS DOD - Air Force, WWPS SOLUTIONS ARCHITECTS This role is for a Senior Solutions Architect within Amazon's AWS WWPS DOD sector, focusing on the Air Force. The primary responsibility is to help U.S. Department of War customers implement innovative cloud computing solutions using AWS services. The role involves owning technical engagements, defining architectures, responding to RFPs, and acting as a subject matter expert on security. While generative AI is mentioned as a helpful experience area, the core of the role is cloud architecture and consulting for defense clients, not direct AI/ML model development. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| AI & Emerging Tech Specialist , Emerging Technology This role is for an AI & Emerging Tech Specialist within Amazon Web Services (AWS) National Security Emerging Technology team. The primary focus is on sales and customer engagement, developing use cases, driving adoption, and shaping go-to-market strategies for emerging technologies like generative AI and ML within US Defense and Intelligence agencies. The role requires a strong understanding of customer mission needs and the ability to leverage AWS services to create solutions. It involves collaboration with account teams, engineering leaders, and product teams, and requires a high-level security clearance. | — | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling. | Agent | 5 |
| Data Scientist II - AMZ24268.1 Data Scientist II role focused on designing and implementing scalable approaches for business decision-making, involving data acquisition via SQL/ETL, analysis, and building models using various statistical and machine learning techniques. Requires experience with large datasets, SQL scripting, and modeling software like R, Python, or MATLAB. | Data | 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 for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions. | — | 5 |
| Principal Product Manager, Technical Product Strategy & Operations, Amazon Customer Service Principal Product Manager, Technical Product Strategy & Operations for Amazon Customer Service's Data & Context Intelligence team. This role drives technical product strategy and operations for AI-native solutions, acting as chief of staff to senior leadership. Responsibilities include aligning product strategy, operational priorities, and cross-functional execution, defining product portfolio strategy, orchestrating cross-functional execution, and building operational excellence. The team builds data solutions and contextual intelligence using Agentic AI, Generative AI, NLP, RL, Knowledge Graphs, and Multi-Agent Architectures to improve customer experiences. | — | 5 |
| Software Development Engineer, CreativeX Software Development Engineer role focused on building AI-powered creative tools for advertisers. The role involves full-stack development, designing and implementing scalable services, and leveraging AI throughout the development lifecycle. Requires understanding of AI agent concepts, LLMs, and ML fundamentals. | Agent | 5 |
| Principal Product Manager - Tech, Devices Decision Science Principal Technical Product Manager for quantitative analysis products within Decision Science at Amazon Devices. This role bridges science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate has scientific fluency, product management excellence, and business acumen to shape how Amazon Devices uses quantitative science for decision-making, from forecasting to portfolio optimization. | Ship | 5 |
| Data Scientist III - AMZ9803634 This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy. | Data | 5 |
| Research Scientist, WWGS Real Estate & Store Development Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership. | Ship | 5 |
| Principal, Design Technologist , Agentic AI, Velocity Labs This role is for a Principal Design Technologist focused on designing and building AI-native experiences using generative AI and LLMs. The role involves hands-on prototyping, strategic technical leadership, and cross-functional collaboration to shape the future of AI-powered user experiences within Amazon's Velocity Labs. | Agent | 5 |
| Actuary, Data Science, Global Risk Management &Claims Actuary role focused on building underwriting and claims models, developing forecasts, and creating cloud-based modeling tools for risk management and insurance programs within Amazon's global operations. Requires strong data science and machine learning modeling experience. | Ship | 5 |
| Principal Data Scientist, Prime Video Principal Data Scientist for Prime Video Personalization and Discovery team, focusing on developing next-generation measurement and experimentation systems to influence customer content discovery. Requires experience in building large-scale experiment-based measurement systems, strong stakeholder communication, and balancing technical rigor with delivery speed. | — | 5 |