Currently tracking 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon 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.
Amazon currently has 1550 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (996 roles), Canada (60 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance NLP and ML. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models. | Data | 5 |
| Senior Product Manager - Technical, ES , AWS Payments and Fraud Prevention Product Manager for AWS Payments and Fraud Prevention, focusing on defining and driving large-scale, cross-company initiatives. The role involves managing the complete payment lifecycle, protecting against fraud, and leveraging AI to enhance customer experience and operations, including autonomous systems, fraud investigation acceleration, real-time decision-making, and personalized payment experiences. The role requires developing strategy, driving roadmap, and working with engineering and cross-functional teams to deliver platform improvements and new products. |
| Ship |
| 5 |
| Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions, particularly with Amazon Connect and Lex. The role involves acting as a trusted advisor to customers, guiding them through their cloud journey, providing technical expertise, and ensuring successful project delivery. Requires experience in cloud architecture, contact center technology, and conversational AI frameworks. | — | 5 |
| Sr. Technical Program Manager, Alexa Excellence AI Ops The Sr. Technical Program Manager will drive programs focused on AI-powered operations for Alexa, ensuring availability and reliability. This role involves managing initiatives for intelligent anomaly detection, automated incident response, and predictive reliability systems, as well as supporting Alexa's international expansion. The TPM will partner with scientists, engineers, and business leaders to deliver programs that advance operational intelligence at scale. | Ship | 5 |
| Robotics - Software Development Engineer Software Development Engineer role focused on robotics at Amazon, involving the design, development, and testing of software components that interact with fulfillment center technologies like robotics, material handling equipment, computer vision, and cloud services. The role also involves leveraging GenAI and AI-powered tools to enhance development productivity. | Ship | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| Software Development Engineer-II (SDE 2), Worldwide Returns & ReCommerce - OpsEval Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases. | Data | 5 |
| Sr. Product Manager, Pricing & SX, Amazon Business Marketplace The Senior Product Manager will define the product strategy and roadmap for strategic initiatives impacting top and bottom line growth for Amazon Business, with a focus on pricing innovation and transforming the seller experience through generative AI and next-generation tooling. This role involves understanding seller needs, leveraging their capabilities, and optimizing the seller journey. The position requires interaction with senior management and co-ownership of global initiatives, aiming to enable sellers' success on Amazon. Key responsibilities include developing pricing strategies, launching global initiatives, writing business cases, and conducting competitive analysis. The role emphasizes applying emerging technologies, including generative AI, to reimagine seller operations and growth. | Agent | 5 |
| AI Data Associate (Dutch-English Bilingual), 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. This role involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The associate will also provide floor support and identify process improvements. | Data | 5 |
| Principal PMT, Creative Intelligence Product Manager role focused on defining the vision and strategy for AI-powered creative intelligence and optimization systems within Amazon Ads. The role involves owning the product definition for closed-loop systems that improve creative performance, establishing quality frameworks, and driving cross-organizational alignment. The goal is to make personalized, high-performing creative a foundational layer of advertising. | Ship | 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 |
| Software Dev Engineer II, Creative X Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features. | Ship | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Sr Business Intelligence Engineer, FBA Analytics This role is for a Sr. Business Intelligence Engineer focused on FBA Analytics at Amazon. The primary responsibilities involve developing analytical methods, KPIs, and dashboards, and building AI workflows to support data-driven strategic decisions. The role requires strong SQL, data processing, and statistical analysis skills, with experience in AWS technologies and scripting for automation. While it mentions building AI workflows and using machine learning, the core focus is on business intelligence and analytics rather than core 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 |
| Banking & Payments Specialist, EMEA Financial Services Industry Development This role focuses on guiding EMEA's leading Banking and Payments customers in accelerating their adoption of AI and Cloud technologies within the AWS Financial Services Industry Business Unit. The specialist will act as a strategic partner, lead pre-sales activities, identify requirements for new offerings, and conduct executive workshops. The role emphasizes business development and domain expertise, ensuring financial institutions innovate while meeting strict security and compliance standards, with a focus on Generative AI and customer experience transformation. | — | 5 |
| Senior Product Manager - Tech, Selection Monitoring This role is for a Senior Product Manager on Amazon's Selection Monitoring team, focusing on improving customer experience by enabling agentic shopping experiences, growing brand and product selection, and enriching catalog information. The role involves leading product strategy, defining roadmaps, working with engineering teams, and applying ML/GenAI solutions to manage a massive product catalog. The primary focus is on delivering customer-facing products and features related to product selection and information enrichment. | — | 5 |
| Sr. Customer Solutions Manager, UKI Customer Solutions Management, Field-AGS-UKI-ENT-CS This role is for a Sr. Customer Solutions Manager at Amazon Web Services (AWS) in the UK & Ireland. The primary responsibility is to guide large and complex customers through their cloud adoption journey, ensuring effective collaboration between AWS teams and the customer. The role involves acting as a trusted partner, leveraging transformation expertise, and driving customer education, governance, and migration planning. A key aspect is proactively solving customer challenges with new ideas and providing guidance on their Generative AI strategy. The role requires strong delivery and change management background, excellent problem-solving abilities, and exemplary communication skills. | — | 5 |
| Sr. Solutions Architect, Solutions Architecture This role is for a Senior Solutions Architect at AWS who will help customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with AI technologies, focusing on migration, modernization, and security. | — | 5 |
| Principal HRBP, International Tax and CCR, G&A This role is for a Principal HR Business Partner at Amazon, focusing on the International Tax and Communications & Corporate Responsibility (CCR) organizations. The position involves leading people strategy, organizational design, executive development, and HR excellence for globally dispersed functions. The role requires partnering with executive leaders, driving change management, providing leadership coaching, and leveraging data for HR priorities. A key aspect is the demonstration and strategic application of AI tools, including generative AI, within the HR function to enhance effectiveness, streamline processes, and improve decision-making. The role also involves coaching others on AI applications and building AI fluency within the HR community. | — | 5 |
| Research Scientist, Amazon Music - DISCO Research Scientist role focused on measuring and optimizing marketing activities for Amazon Music using causal models and RCTs. The role involves designing, building, and validating causal models, conducting randomized controlled trials, performing statistical analysis, and providing data-driven recommendations to marketing teams. It requires a strong background in consumer research, causal inference, and statistical analysis, with the ability to translate complex data into actionable insights. | — | 5 |
| Sr. Technical Business Development Manager, AWS Cloud Innovation Centers This role supports the AWS Cloud Innovation Center (CIC) by building and maintaining a pipeline of technical prototyping engagements for student workers, organizing executive innovation events, and contributing to the program's broader growth strategy. The goal is to enable student developers to build scalable solutions for public sector organizations, accelerating their cloud and AI journey. | — | 5 |
| Solution Architect, Startups Solution Architect role focused on helping early-stage startup companies build and deploy scalable and secure architectures on AWS, with a focus on cloud computing and Generative AI. The role involves technical decision-making, customer relationship building, and advocating for product needs. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services, focusing on helping enterprise customers migrate sensitive workloads to the cloud by addressing risk, regulatory, and compliance requirements. The role involves designing and implementing scalable security and compliance solutions, educating customers on AWS services, and contributing to the security assurance practice. While the role interacts with generative AI and security assurance services, its core function is not building AI models but rather ensuring customer compliance and security in the cloud environment. | — | 5 |
| Solutions Architect, Financial Services, Solutions Architecture Solutions Architect for Financial Services customers on AWS, focusing on designing and implementing cloud-native architectures, accelerating adoption of AWS services, and connecting technology with business value. Requires broad technical competence and deep expertise in 2-3 areas, including AI/ML and Generative AI. | — | 5 |
| AWS AI Specialist Sales – ISV This role is for a Senior AI Specialist Sales professional at AWS, focused on driving the adoption of AWS's AI services, particularly Generative AI and Agentic AI, within ISV/DNB sectors. The individual will engage with C-level executives to bridge business strategy with technical implementation, develop business cases, and own revenue targets. While the role involves deep AI/ML expertise and understanding of the AI value chain, its core function is sales and driving adoption, not direct AI/ML model development or research. | — | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| Senior Product Manager - Technical, Seller Fees Science & Tech Senior Product Manager, Technical role focused on leveraging Generative AI to improve the experience of enabling fee changes for millions of sellers worldwide within Amazon's Selling Partner Services. The role involves envisioning and executing projects, engaging with stakeholders, managing roadmaps, and defining product requirements, with a focus on automating manual processes and enhancing seller experience. | — | 5 |
| Applied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science This role focuses on applying Operations Research, Optimization, and Supply Chain principles, with an integration of Gen AI, to solve large-scale problems in inventory management, sales planning, and distribution for Amazon Devices. The scientist will design, develop, and deploy mathematical and simulation models, and work with cross-functional teams to optimize business operations and drive financial impact. | Ship | 5 |
| 2026 Data Scientist Internship , Amazon University Talent Acquisition Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects. | Data | 5 |
| Software Development Engineer, Amazon Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale. | Data | 5 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Associate Assurance Solution Architect, AWS Security Assurance Services LLC This role is a customer-facing Assurance Solution Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves translating compliance needs into scalable solutions and demonstrating how AWS services can achieve these objectives. While the role mentions Generative AI and responsible AI practices for productivity augmentation, its core function is not AI/ML model development but rather applying security and compliance expertise to cloud architectures, including those that may utilize AI services. | — | 5 |
| US NatSec BD/Capture Manager - Intelligence Community, US NatSec Federal Strategic Pursuits This role is a Business Development/Capture Manager for AWS National Security, focusing on selling cloud services and advanced AI capabilities to the US Government. The primary responsibility is to develop and manage a pipeline of cloud-related opportunities, create bid strategies, and oversee proposal development for government contracts. While AI/ML and GenAI are mentioned as capabilities to be sold, the core function of the role is business development and sales within the enterprise AI domain, not direct AI/ML development. | — | 5 |
| Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Senior Business Intelligence Engineer role focused on managing and optimizing the cloud infrastructure for AI technologies within Amazon's Alexa division. The role involves owning the BI strategy, designing and implementing dashboards and data models, building data pipelines, defining metrics, and collaborating with engineers to automate analytical processes. The goal is to provide visibility into infrastructure spend, GPU utilization, and identify cost savings, ultimately informing infrastructure investment decisions. | — | 5 |
| Software Development Engineer, Public Sector Customer Engineering Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies. | — | 5 |
| Senior Financial Analyst, Amazon Advertising Senior Financial Analyst role supporting the finance team for Amazon Advertising's AI Core Infrastructure (ACI) organization, which builds foundational AI/ML infrastructure. Responsibilities include financial modeling, business opportunity evaluation, financial reporting, and cost optimization for inference infrastructure. Requires strong financial modeling, problem-solving, and communication skills, with experience in fast-paced and ambiguous environments. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| 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 |
| Software Develpment Engineer II, Physical Stores Payments Software Development Engineer II role focused on building the future of retail payments for Amazon's Physical Stores. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. The team works on innovative payment acceptance, processor integrations, and risk management, shaping the future of retail payments. | Ship | 5 |
| Senior Product Manager-Monetization, Japan Monetization Team Senior Product Manager for Amazon Japan's Monetization team, focusing on developing and launching innovative solutions for Incentives & Monetization growth. This role involves defining product strategy, driving 0 to 1 initiatives, and working cross-functionally with engineering, data science, and marketing teams to enhance customer and selling partner experiences, with a focus on personalization and incentive programs. The role leverages AI/ML tools and platforms to achieve business objectives. | — | 5 |
| AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement This role owns the AI and Surge Inference enablement strategy and program roadmap for the EMEA AGS Sales organization. The focus is on equipping sales teams with the skills, knowledge, and tools to lead AI conversations with customers and accelerate AI outcomes. It involves developing and delivering enablement programs across various AI domains, building relationships with sales leadership and AI stakeholders, and measuring program impact. | — | 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 |