Currently tracking 1072 active AI roles, with 1266 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (983 roles), Canada (56 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 613 new AI-related roles. That is a -23% change versus the prior 30 days (793 → 613).
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.
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer II, EFA Network - Annapurna Labs Software Development Engineer II role focused on the user-space software for Elastic Fabric Adapter (EFA) network cards, crucial for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. The role involves writing high-performance C code for open-source projects, inventing new networking APIs, optimizing for low latency and high bandwidth, and supporting major AI companies. The team is part of Annapurna Labs and focuses on enabling next-generation ML in the cloud. | — | 5 |
| Network Development Manager III, Opstech IT Networking Access Technologies This role manages a team responsible for the deployment automation of Wireless and Access networks within Amazon's Operations Technology. The focus is on transforming innovative network designs into production-ready implementations that support a wide range of technologies including robotics, industrial IoT, sensors, drones, and mobile devices. The role involves setting technical vision, driving operational excellence through automation, partnering with internal and external teams for innovation, and establishing engineering metrics for service health and performance. While AI and ML are mentioned as tools to enhance network automation and operations, the core function is network engineering and management, not direct AI/ML model development. |
| — |
| 5 |
| Senior Product Manager, Retail Operations and Initiatives This role is for a Senior Product Manager focused on driving profitability and regionalization initiatives within Amazon's retail business. While the role involves using and identifying opportunities for generative AI tools to enhance workflows and customer experiences, the core responsibilities are product management, strategy, and execution for retail operations, not direct AI/ML model development or research. The role aims to improve business results through data analysis, process optimization, and cross-functional collaboration. | — | 5 |
| Sr. Worldwide Partner GTM Specialist - Agentic AI, Data & AI GTM This role focuses on developing and executing go-to-market strategies for AWS partners in the Agentic AI and AI Security space. It involves collaborating with partners to implement agent-based solutions, driving adoption, and providing thought leadership on business model transformation. The role also includes building enablement programs and analyzing market trends to inform AWS's AI strategy. | — | 5 |
| Business Intel Engineer, WW Promotions and Events Data and Insights This role focuses on business intelligence and data analysis for Amazon's promotions and events. The engineer will develop analytical reporting, conduct deep dives, and leverage LLMs to generate insights and drive growth discussions. The role also involves improving data sources and ensuring data quality. While the role uses LLMs, its core function is business intelligence and data engineering, not direct AI model development. | — | 5 |
| Lead Software Development Engineer, Playback Team Lead Software Development Engineer for Audible's Playback team, focusing on core playback logic, services, and audio ad systems. The role involves designing, architecting, and implementing machine learning solutions for audio advertising at scale, optimizing ad serving, and integrating conversational AI. Requires strong software development, system design, and leadership skills. | Agent | 5 |
| Human Vision Engineer, Optical Metrology & Vision Science This role focuses on applying expertise in human visual perception to guide the design, evaluation, and optimization of next-generation display systems and visual experiences for Amazon's device portfolio. It involves developing computational models of human vision, designing psychophysical experiments, analyzing data, and building perceptual simulation pipelines to inform display hardware and software decisions. The role bridges vision science, computational modeling, display engineering, and user experience, translating perceptual principles into product specifications. | — | 5 |
| Associate Support Engineer, Region Services Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on troubleshooting and resolving technical issues within AWS Region Services, leveraging Linux and distributed systems expertise. The role involves interacting with engineers, providing feedback on services, driving process improvements, and using internal AI systems for problem-solving. Requires experience with Linux, scripting, and distributed systems, with a preference for cloud computing and networking knowledge. A government security clearance is mandatory. | — | 5 |
| AI Data Associate with German, AGI Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality. | Data | 5 |
| Data Scientist I, Customer Delivery Excellence Science This role focuses on improving global logistics and delivery experiences by building and validating predictive and classification models using machine learning techniques. It involves feature engineering, exploratory data analysis, and partnering with operations teams to implement ML solutions within Amazon's fulfillment and delivery network. | Ship | 5 |
| Economist , Economic Decision Science Economist role focused on product assortment, using econometrics, machine learning, and experimentation to build innovative solutions and influence business decisions. | — | 5 |
| Senior Product Manager, Amazon Product Manager for Amazon Pay's Customer Trust team, focusing on fraud and abuse prevention using machine learning and advanced analytics. Responsibilities include defining product features, partnering with engineering, and delivering complex product solutions to protect customer trust and business growth. | Agent | 5 |
| Senior Product Manager - Tech, AWS Payments and Fraud Prevention Senior Product Manager for AWS Payments and Fraud Prevention team, focusing on developing innovative payment solutions, reducing financial losses, and managing past-due balances for AWS customers. The role involves defining strategy, roadmap, influencing cross-functional teams, and driving product delivery in a complex, regulated financial domain. | — | 5 |
| Sr. Manager of Colocation, Machine Learning, Data Center Supply Solutions This role manages a team responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation partnerships. It involves managing the lifecycle of ML-focused colocation deals, ensuring operational excellence, contractual compliance, and infrastructure reliability for ML workloads. The role collaborates with various internal teams and external partners to optimize colocation strategies supporting AWS' ML service scaling. | — | 5 |
| Sr. BIE, JWO Tech The Senior Business Intelligence Engineer (Sr. BIE) on the Amazon Just Walk Out (JWO) team is a strategic technical leader responsible for designing and delivering scalable business intelligence solutions that drive data-informed decision-making across the JWO organization. This role combines deep technical expertise in data engineering, analytics, and visualization with strong business acumen to transform complex data into actionable insights. The Sr. BIE partners with leadership, product teams, operations, and engineering to build robust reporting frameworks, automate data pipelines, and enable self-service analytics that support the growth and optimization of Amazon's cashierless retail technology platform. | — | 5 |
| Senior National Account Manager, Ring & Blink This role is for a Senior National Account Manager at Amazon's Ring and Blink division, focusing on driving retail growth through strategic account management and leveraging AI/ML tools for sales analysis, trend prediction, and inventory optimization. The role involves cross-functional collaboration with retailers and internal teams, developing promotional and marketing strategies, and driving the adoption of AI-enabled analytics for product placement and pricing. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data, detecting anomalies, and preventing fraudulent activity on Amazon's platform by deploying rules and leveraging machine learning systems. It involves working with large datasets, identifying patterns, and collaborating with product managers, scientists, and engineers to maintain customer trust and prevent bad actors. | — | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Principal Enterprise Account Manager, AI Models, HiTech This role is for a Principal Enterprise Account Manager focused on AI Model Providers within the HiTech industry. The primary responsibility is to manage strategic relationships with AI companies, driving revenue, adoption, and market penetration on AWS. The role requires a blend of sales and technical expertise to engage with C-level executives, developers, and engineers, and to lead cross-functional teams in shaping strategies for partners, professional services, and training. The goal is to help enterprise AI-native companies scale their infrastructure and go-to-market efforts. | — | 5 |
| Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo This role focuses on building business intelligence and analytics solutions for Amazon's satellite broadband network (Amazon Leo). The Senior Business Intelligence Engineer will architect and deliver data-driven insights to streamline production operations, develop key metrics, build self-service reporting, and create data pipelines. While the role requires staying current with AI/ML advancements and evangelizing new technologies, its core function is data engineering and business intelligence, not direct AI/ML model development or deployment. | — | 5 |
| Business Intelligence Engineer II, Alexa Enterprise Data This role is for a Business Intelligence Engineer on the Alexa Enterprise Data team. The primary focus is on defining metrics and KPIs, and performing deep-dive analyses on large datasets to provide actionable insights to business stakeholders. The role involves building and maintaining automated reporting solutions and data pipelines, with a strong emphasis on SQL, ETL, and data wrangling. While the team works with Generative AI and LLM capabilities, this role is primarily focused on the data infrastructure and insights generation rather than direct AI/ML model development. | — | 5 |
| Senior Enterprise Account Manager, AI Models, HiTech This role is for a Senior Enterprise Account Manager focused on AI Models and Foundation Model Providers on AWS. The primary responsibilities include managing strategic relationships, driving revenue and adoption, and acting as a trusted advisor to AI companies. The role requires a blend of sales and technical expertise to engage with C-level executives and AI developers. | — | 5 |
| Senior Sales Specialist, GenAI/ML, Enterprise Senior Sales Specialist for GenAI/ML on AWS, focusing on driving customer adoption and revenue growth for AWS Generative AI services within a specific territory. This role involves identifying customer opportunities, understanding their needs, positioning AWS solutions, and acting as a trusted advisor to embed and deploy GenAI services. Responsibilities include developing GTM strategies, engaging with C-suite leaders, creating value propositions, and gathering customer insights to inform product roadmaps. | — | 5 |
| Sr. Worldwide Specialist – GenAI/ML, Accelerate Compute, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Generative AI (GenAI) solutions on AWS. The specialist will engage with customers, product owners, and GenAI model providers to influence product direction, develop proofs-of-concept, and drive the adoption of GenAI services. The role requires a blend of business and technical expertise to articulate the value of GenAI solutions and market trends to diverse audiences, including C-level executives. | — | 5 |
| Senior Product Manager - Technical, Selling Partner Services - Next Gen Selling Senior Technical Product Manager for Amazon's Selling Partner Services, focusing on the front-end seller experience. The role involves defining product strategy, roadmap planning, and requirements definition for a platform used by millions of sellers. While the role leverages and identifies opportunities for AI tools, its core function is product management for a customer-facing platform, not direct AI/ML model development or research. | — | 5 |
| Sr. BIE, Amazon Global Selling -AIT This role focuses on designing, developing, and maintaining data infrastructure and ETL pipelines to support business intelligence initiatives, with a specific emphasis on implementing AI/LLM-powered solutions for task automation and statistical analysis for business decision-making. The role involves collaborating with cross-functional teams to build AI-ready foundational capabilities within the Global Selling organization. | Data | 5 |
| Solutions Architect, Benelux, Benelux Solutions Architecture Solutions Architect role focused on guiding enterprise customers in the Benelux region on their Generative AI transformation, helping them adopt agile operation models and build modern SaaS architectures using AWS services. The role involves building technical relationships, acting as a trusted advisor, and sharing customer needs internally to inform AWS roadmaps. It also includes creating and sharing best practices, technical content, and reference architectures, as well as evangelizing AWS technology. | — | 5 |
| Startup Account Manager, AWS for Software Startups Account Manager for AWS, focusing on helping software startups grow and scale on the AWS cloud platform. The role involves driving revenue, promoting AWS services, and understanding customer needs, including trends like AI/ML. | — | 5 |
| Sr Risk Manager, Lending, ABPL This role is for a Sr. Risk Manager in Amazon's lending portfolio, focusing on adverse risk actions and building a credit program. It involves strategic planning, cross-functional leadership, data-driven innovation, and leveraging AI/ML tools, specifically an AI Agent, to automate tasks and improve decision-making. The role requires partnering with Science teams to design features and build automated credit decisioning systems, acting as a power user for AI-enabled tools. | Agent | 5 |
| Sr. Software Engineer, EFA Network ML Software Team - Annapurna Labs This role is for a Sr. Software Engineer on the EFA Network ML Software Team at Amazon. The team owns the user-space software for the Elastic Fabric Adapter (EFA) network card, enabling customers to network thousands of GPU and CPU instances for ML and HPC workloads. The engineer will write high-performance C code for open-source projects, invent new networking APIs, and provide expert support to AI customers. The role involves leading design and architecture, focusing on performance, low latency, and high bandwidth in clustered environments. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Director, Sales Operations, Japan, Global Sales Operations Director of Sales Operations for AWS Japan, focusing on driving long-term business growth through data analysis, forecasting, and optimizing business processes. The role involves supporting Generative AI initiatives to unlock data-driven insights and customer innovation, but the core function is sales operations and strategy, not direct AI/ML model development. | — | 5 |
| Risk Manager III - AMZ19105.3 This role focuses on managing risks associated with AI and machine learning models and processes, ensuring compliance with regulatory requirements and internal standards. It involves working with stakeholders to identify risks, manage use cases, maintain inventories, and provide training on AI/ML risk management. | — | 5 |
| Sr. Analytics/AI Specialist Soultions Architect This role is for a Sr. Analytics/AI Specialist Solutions Architect at Amazon Web Services (AWS). The primary focus is on helping customers leverage AWS services, particularly in analytics and Generative AI, to solve complex business problems. The role involves deep technical expertise, customer collaboration, architectural reviews, and thought leadership. While AI is mentioned as a differentiator and a tool used by Amazon for over 20 years, the core function of this role is to enable customer adoption and growth of AWS services, acting as a trusted advisor and subject matter expert in analytics and cloud computing. | — | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and optimizing machine learning data workflows, acting as a deep expert in 1-2 workflows and leading quality audit teams. It involves hands-on audit execution, analysis of data quality, and providing insights for workflow improvement. | Data | 5 |
| Account Manager, Startups , Early Stage Startups Account Manager for AWS Startups, focusing on driving adoption and revenue for AWS cloud services among early-stage, high-potential startups. The role involves advising founders on technical innovations like generative AI and machine learning, and working with various internal and external stakeholders to ensure customer success and business growth. | — | 5 |
| AV-ADAS Technical GTM Specialist, WWSO HPC Team This role is a Technical Go-To-Market (GTM) Specialist for AWS's automotive compute portfolio, focusing on Autonomous Vehicles (AV), Advanced Driver Assistance Systems (ADAS), Software-Defined Vehicles (SDV), and Electrical/Electronic (E/E) architecture workloads. The specialist will own the end-to-end GTM strategy, drive revenue pipeline acceleration, build mechanisms for business outcomes, and work directly with customers and partners. A key responsibility is articulating the value of Generative AI in accelerating automotive software development. | — | 5 |
| Product Marketing Manager Tech, Amazon Quick Product Marketing Manager for an enterprise AI platform combining generative AI search, research, agents, and business intelligence. The role involves shaping go-to-market strategy, influencing product strategy, understanding customer needs, and developing messaging for AI chat, research agents, workflow automation, and analytics capabilities. | — | 5 |
| Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics Senior Financial Analyst role focused on competitive intelligence and sales analytics for AWS. The role involves building financial models, analyzing public company disclosures, and supporting sales pipeline analysis. A key aspect is leveraging Generative AI as a daily production tool to build and maintain scalable mechanisms for executive-quality outputs, including co-producing a GenAI-powered intelligence newsletter. | — | 5 |
| Sr. TPM, AWS Builder Acceleration This role is for a Sr. TPM at Amazon, AWS Builder Acceleration (AWSBA) team, focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The goal is to reduce toil, increase building efficiency, and eliminate friction in the software development and operational lifecycle through AI-based automated solutions. | Agent | 5 |
| Software Development Engineer, AFT - Safety and Compliance Software Development Engineer role focused on building and integrating AI/ML solutions within Amazon's Fulfillment Technologies to automate workflows and ensure safety and compliance across product selection and delivery. The role involves designing, developing, and delivering scalable software services that interact with ML technologies, contributing to architecture, and mentoring junior developers. | Agent | 5 |
| Sr Product Manager - Technical, Amazon Music Growth and Partnerships Senior Product Manager, Technical for Amazon Music Growth and Partnerships. This role focuses on leading product development for third-party partner integrations, including ticketing, Gen AI, automotive, and wearables. The PM will drive product strategy and execution, working cross-functionally with engineering, business development, and other teams. A key aspect is leveraging AI/ML for experimentation and personalization to enhance customer engagement and acquisition. The role requires end-to-end product ownership in a fast-paced, ambiguous environment. | — | 5 |
| Neuron Runtime Software Development Engineer , Neuron Runtime Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership. | Serve | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on using advanced data analysis, including Machine Learning and AI tools, to identify and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, scale findings through technology and analytics, and develop systematic solutions to endemic problems. A key responsibility includes utilizing agentic AI systems to automate workflows and accelerate investigations. | Agent | 5 |
| Risk Specialist I, SPIV This role focuses on identifying and disrupting sophisticated tax fraud schemes within Amazon's marketplace. The specialist will own fraud investigations, extract generalizable patterns for automation, and collaborate with Science, Product, and Tax teams to improve prevention and detection systems. The role involves analyzing investigations to identify technical controls, data signals, and model features for early detection, and leading incident response for high-impact fraud events. | — | 5 |
| Principal Technical Program Manager, Sponsored Products and Brands The Principal Technical Program Manager will lead the development and strategy for Sponsored Products and Brands at Amazon Ads, leveraging generative AI to revolutionize advertising experiences. This role involves managing large-scale global products, defining roadmaps, and driving cross-functional initiatives to enhance ad creation, optimization, and performance analysis. The focus is on building next-generation brand advertising products and platforms, impacting millions of creators and viewers daily, and delivering significant revenue and growth for Amazon. | Ship | 5 |
| Associate II, ML Data Operations, GO-AI Operations This role is for an Associate II, ML Data Operations at Amazon Robotics, focusing on human-in-the-loop data annotation for training and validating machine learning models. It's a non-technical role that involves precise annotation of text, video, and image data, identifying operational friction, and ensuring data quality for LLM capabilities. The role supports the development of robotics and fulfillment technologies. | Data | 5 |
| Annual Planning Lead, ASP , ASP Planning & Business Operations This role leads annual planning mechanisms for the AWS Specialists and Partners (ASP) organization, leveraging AI/ML to enhance planning processes and decision-making. The Annual Planning Lead develops and implements planning processes, systems, and metrics that increase revenue growth and organizational effectiveness, analyzing data to identify improvement opportunities and providing recommendations. The role orchestrates AI-human collaboration, manages AI planning intelligence tools, and implements automated workflows. | — | 5 |
