Currently tracking 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1500 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
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 |
|---|---|---|
| Senior Startup Investor Manager, VC (or Angel) , AWS Worldwide Startups This role focuses on identifying and working with early-stage startups and venture capital firms to accelerate their success on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies like generative AI, combined with business acumen, to help startups innovate and scale on AWS infrastructure. | — | 5 |
| Solutions Architect, SMB Solutions Architect for AWS SMB group, providing technical design guidance and thought leadership to customers on AWS platform, including AI/ML scenarios. Focuses on customer success and adoption. | — | 5 |
| Senior Technical Program Manager, GEM The role is a Senior Technical Program Manager for the North America Stores GenAI Evaluation Media (GEM) team, focusing on visual shopping experiences. The team owns Trust, Governance, Quality, and Generation of visual assets for customers. The TPM will work with cross-functional teams (Software Development Managers, Applied Scientists, Product Managers, Senior Engineers) to drive the technical vision and execution of AI capabilities that guide customer shopping journeys through visuals. Success involves establishing robust mechanisms, metrics, and collaborating with partners to navigate AI advancements. The role requires strategic thinking, technical depth, and a focus on delivering practical, scalable solutions. Key responsibilities include partnering with stakeholders, influencing roadmaps, ensuring operational excellence, defining metrics, and driving adoption of solutions. Experience with GenAI technologies and using generative AI tools is preferred. |
| Ship |
| 5 |
| Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team This role is for a Sr. Manager to lead a team of SOC integration engineers responsible for critical deliverables in ML accelerator chips. The focus is on designing and optimizing hardware for AWS Machine Learning servers, specifically mentioning AWS Inferentia for inference. The role involves driving technical decisions, ensuring on-time delivery, and establishing best practices for top-level integration. While the role is in AI hardware acceleration, it's not directly building ML models but rather the infrastructure that runs them. | Serve | 5 |
| PD Engineer, Annapurna Labs This role focuses on the design and optimization of hardware for AWS data centers, specifically for machine learning inference products like AWS Inferentia. The engineer will drive physical implementation, develop cloud infrastructure for physical design work, and improve RTL2GDS flows for performance and TAT. While the role supports ML inference hardware, the core craft is hardware/physical design engineering, not AI model development or research. | — | 5 |
| Embedded Software Engineer, Annapurna ML Software This role focuses on developing and architecting mission-critical software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches that form the interconnect fabric for Trainium chips. The work involves low-level systems programming, hardware bring-up, device driver development, and optimizing data paths to ensure high-speed data movement for AI workloads. It operates at the hardware-software boundary, enabling the underlying infrastructure for advanced ML products. | Serve | 5 |
| Program Manager II, Applied AI, Applied AI Program Manager II for Applied AI at Amazon, focusing on delivering Generative AI products and accelerating AI adoption within the eCommerce business. The role involves working with stakeholders, defining and executing solutions, leading cross-functional teams, and ensuring high-quality deliverables at Amazon scale. | — | 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 |
| Sr Product Manager-Technical, SCOT Forecasting & Labs This role is for a Sr. Product Manager-Technical at Amazon, focusing on defining and driving the vision for forecasting products within their supply chain. The role involves partnering with scientists and engineers to build and scale deep learning-based systems, bringing advanced AI/ML technologies like Foundation Models and LLMs from research into production. The primary focus is on shipping AI-powered products that optimize the supply chain. | Ship | 5 |
| Training Specialist, Last Mile Delivery This role focuses on designing training materials and delivering AI-related training to internal teams, leveraging AI tools for design productivity and innovation. The primary responsibility is to create visually compelling learning content and facilitate AI awareness sessions for frontline associates and leaders in Last Mile operations. | — | 5 |
| Software Development Manager, Alexa Audio Software Development Manager for Alexa Audio, focusing on building and scaling audio experiences for Alexa-enabled devices. The role involves leading a team of software engineers, setting technical vision, and partnering with product management to leverage Generative AI and LLM capabilities for customer-facing audio features. | Ship | 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 |
| Sr. Technical Program Manager, Sponsored Products and Brands This role is for a Senior Technical Program Manager on the Amazon Ads Sponsored Products and Brands team. The primary focus is on managing projects related to generative AI technologies in advertising, from inception to deployment and improvement. The role involves coordinating across product, science, and engineering teams, driving efficient project execution, and recommending technical approaches. While the team works with GenAI and the role involves using GenAI tools, the core responsibilities are in program management and product delivery, 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 |
| Sr. Principal Scientist, Stores Economics and Science This role is for a Sr. Principal Scientist focused on Stores Economics and Science at Amazon. The scientist will work with ML scientists to validate models, translate analysis into business actions, and manage data analysis and modeling. The team uses economics, statistics, and ML to understand Amazon's economy and aims to drive AI adoption across the company. | Data | 5 |
| Data Engineer I, Amazon Publisher Monetization, Analytics Data Engineer role focused on building and optimizing data models and end-to-end data pipelines using AWS services for Amazon Publisher Monetization. The role involves implementing data solutions for human analysts and AI-powered tools, ensuring data quality, and collaborating with stakeholders to deliver data products. It also mentions leveraging LLMs and generative AI for development workflows and contributing to automated data infrastructure. | — | 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 |
| AI & Data Specialist, WWSO This role advises enterprise customers on AI and data adoption, shapes go-to-market strategies, and acts as a liaison between customers and global service/product teams to channel feedback for product roadmap prioritization. The role requires deep subject-matter expertise in AI and data technologies and the ability to translate technical trends into business insights. | — | 5 |
| AI Data Associate (NL), Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon. | Data | 5 |
| Software Development Engineer II, Managed Operations, COMET Development Team This role focuses on building solutions to support the governance and security of agents, and converting the platform to an agentic-first interface. It emphasizes leveraging Generative AI tools and AI-assisted development environments to accelerate various stages of the software development lifecycle, including prototyping, development, validation, testing, and documentation synthesis. The role also requires an understanding of the responsible use of GenAI in security-sensitive environments. | Agent | 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 |
| Senior Product Manager - Pricing, Amazon Global Logistics Senior Product Manager for Amazon Global Logistics, focusing on pricing and revenue management systems. The role involves defining product strategy, designing pricing mechanisms, partnering with data science on ML models, and driving cross-functional initiatives to deliver end-to-end pricing solutions. The team is building pricing systems from the ground up. | — | 5 |
| Principal ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales This role focuses on designing and implementing AI solutions for pharmaceutical customers within AWS, specifically leveraging agentic AI applications across the clinical trial lifecycle. The role involves collaborating with sales and delivery teams to ensure successful solution implementations and acting as a trusted advisor on emerging technologies. While AI is mentioned, the core function is solution architecture and customer engagement within the healthcare domain, not direct AI model development. | — | 5 |
| AI Design Technologist, Marketing Productivity, Amazon Ads Marketing This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks. | Agent | 5 |
| Technical Program Manager, PXT Central Science The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. PXTCS is seeking a Sr. Technical Program Manager (TPM) to own and drive large, critical programs that span multiple teams and organizations at Amazon. You will manage complex technical programs involving machine learning models, artificial intelligence systems, and causal econometric models that improve employee experience for over 1.5 million Amazonians worldwide. | Agent | 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 |
| Sr. Machine Learning Engineer, Amazon Traffic Engineering This role focuses on building and operating critical infrastructure services for Amazon's retail platform, dealing with massive traffic volumes in real-time using advanced machine learning systems and distributed infrastructure. The core responsibility involves improving operational excellence, performance, and monitoring of these services. | 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 |
| Business Intel Engineer, GO-AI This role is for a Business Intelligence Engineer on the GO-AI team within Amazon Robotics. The primary focus is on developing foundation models for complex visual reasoning tasks, but the role itself is centered around data analysis, ETL pipeline design, and dashboard creation to support leadership decision-making. While the team works with AI and foundation models, this specific role is more on the BI/data engineering side, using AI tools and insights rather than directly building or shipping AI models. | — | 5 |
| Software Development Manager, AWS Builder Acceleration Seeking an experienced software development manager to lead a new organization focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The role involves building services and tools to reduce friction, developing a strategic roadmap, and pioneering AI-powered builder experiences. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Solutions Architect, Singapore Public Sector Solutions Architecture Team Senior Solutions Architect for AWS Public Sector in Singapore, focusing on designing and implementing cloud-based solutions that meet customer business needs. The role involves collaborating with customers and internal teams to accelerate the adoption of AWS technologies, including AI/ML, microservices, and containers. Key responsibilities include acting as a trusted technical advisor, evangelizing AWS services through presentations and content creation, and shaping product direction based on customer feedback. The role requires strong technical and interpersonal skills, with an emphasis on learning new technologies and conveying business value. | — | 5 |
| Sr. Solutions Architect, Enterprise Energy Solutions Architect role focused on driving enterprise AI and agentic adoption by helping customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS. This role involves guiding organizations through cloud migration and modernization, accelerating deployment from experimentation to enterprise-wide, and working with sales and partner networks. | Agent | 5 |
| Data Engineer II, Supply Chain Analytics This role is for a Back End Data Engineer focused on designing, developing, testing, and deploying Supply Chain Application and Process Automation within AWS Infrastructure Services. The engineer will collaborate with business leaders, BI engineers, and data scientists to architect solutions, identify automation opportunities, and build scalable applications using AWS technologies. A key responsibility is enhancing analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques, and designing data pipelines for ETL/ELT processes. | — | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses. | Data | 5 |
| Customer Solutions Manager / カスタマーソリューションマネージャー, AWS This role is a Customer Solutions Manager at AWS, responsible for leading cloud transformational programs and driving AI adoption for customers. The role involves understanding customer business objectives, translating them into executable plans, and collaborating with various AWS teams and partners to ensure successful implementation and adoption of AWS services, including AI solutions. The manager will also contribute to shaping the Customer Solutions Management function by leveraging generative AI. | Ship | 5 |
| Principal Product Manager, US Prime This role is for a Principal Product Manager at Amazon US Prime, focusing on developing and executing strategies to drive early engagement and long-term retention for Prime members. The PM will define the vision, partner with various teams to launch experiments, measure performance across customer cohorts, and set up mechanisms for tracking execution. While the role mentions using generative AI tools to enhance workflow efficiency, the core responsibilities are product management, strategy, and roadmap execution for a consumer membership program, not direct AI/ML model development or deployment. | — | 5 |
| AI Data Associate (NL), Artificial General Intelligence Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, and analyzing data to improve labeling tasks. The associate will also identify process issues and provide floor support. | Data | 5 |
| Solutions Architect, LATAM CSC Solutions Architect role focused on helping SMB and Enterprise customers across LATAM with their cloud journey, including migration, modernization, and building cloud-native solutions. The role involves exploring and demonstrating how GenAI and Agentic AI can drive business value, turning ideas into prototypes and production-ready architectures. It requires strong technical depth, customer partnership, and the ability to communicate complex ideas. | — | 5 |
| Software Development Manager, Prime Video - Title Lifecycle Presentation & Science Software Development Manager for Prime Video's Title Lifecycle Presentation & Science team. This role leads a team of engineers and applied scientists responsible for presenting content to customers, using applied science, experimentation, and data signals. The manager will own team execution, delivery, technical direction, drive experimentation, manage ML-powered feature delivery, and navigate cross-team dependencies. Requires experience leading combined engineering/science teams, delivering through experimentation, managing dependencies, and strong technical judgment in distributed systems and ML productionization. | Ship | 5 |
| AI Data Associate (NL), Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and processes. This position is crucial for the responsible development and deployment of AI at Amazon. | Data | 5 |
| Senior Product Manager, Alexa UK and Ireland Senior Product Manager for Alexa, focusing on localizing its personality for UK and Ireland customers using generative AI and prompt engineering tools. The role involves shaping conversational behavior, adapting personality frameworks, prototyping, experimenting, and defining quality/safety frameworks, but not writing production code. | — | 5 |
| Data Engineer II, Sales Planning and Compensation (SPC) Data Engineer II role focused on designing, building, and evolving data capabilities for Sales Planning and Compensation (SPC) within AWS. The role involves end-to-end data solutions, including ingestion, transformation, and analytics, with an emphasis on incorporating generative AI practices to enhance efficiency and decision-making. Key responsibilities include developing data pipelines, building data models, optimizing infrastructure, and leveraging AWS GenAI services like Amazon Bedrock and Amazon Q. | — | 5 |
| AI Data Associate with Dutch , Artificial General Intelligence Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency. | Data | 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 |