Currently tracking 1110 active AI roles, down 16% versus the prior 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 1573 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), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (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 (1023 roles), Canada (59 roles), United Kingdom (47 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 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal AI Creative Director, POD This role is for a Principal AI Creative Director focused on building a generative AI system for Amazon Ads. The core responsibility is to act as the 'human judgment layer', defining and decomposing creative direction, brand intelligence, and quality standards into machine-readable primitives. This involves leading the systemization of taste, defining aesthetic moderation frameworks, and building prototypes to shape AI-powered creative experiences for advertisers. The role requires deep fluency in AI creation tools and the ability to translate creative vision into system requirements, influencing design, engineering, and product leadership. | AgentPost-train | 7 |
| Applied Scientist, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on Playback Intelligence. The role involves using applied machine learning and data science, with specializations in video streaming optimization, information retrieval, anomaly detection, root-causing systems, large language models, and generative AI across various modalities. Responsibilities include translating business requirements into deliverables, improving customer playback quality, reducing time/cost/effort for optimization and defect mitigation, and integrating new algorithms into modeling stacks. The role emphasizes working backwards from desired outcomes to determine ideal solutions. |
| Agent |
| 7 |
| Sr. Software Development Engineer, Workshop Studio, Catalog & Events Senior Software Development Engineer to drive the technical direction of the Catalog & Events services within the Workshop Studio platform, focusing on building AI-powered agentic systems for content discovery, participant guidance, automated summaries, and agent-assisted authoring. The role also involves developing multi-tenant platform infrastructure, integration APIs, and evolving the authentication architecture, with a strong emphasis on technical leadership and operational excellence. | Agent | 7 |
| Software Development Engineer III, Alexa 3P Experiences Software Development Engineer III on the Alexa 3P Experiences team, focusing on building consumer-facing generative AI experiences with third-party partners using LLMs and agentic capabilities. The role involves leading design and architecture, owning technical vision for SDKs, and driving engineering best practices. | Agent | 7 |
| Software Development Engineer II, Alexa 3P Experiences Software Development Engineer II on the Alexa 3P Experiences team, focused on building consumer-facing generative AI experiences using LLMs and agentic capabilities with third-party partners. The role involves designing and developing scalable solutions, contributing to category scaling frameworks, and driving engineering best practices. | Agent | 7 |
| Software Development Engineer III, Alexa 3P Experiences Software Development Engineer III on the Alexa 3P Experiences team, focusing on building consumer-facing experiences with third-party partners using generative AI, LLMs, and agentic capabilities. The role involves leading design and architecture of experiences and SDKs, taking a long-term system view, and mentoring engineers. | Agent | 7 |
| Machine Learning Engineer, AWS Applied AI Solution Machine Learning Engineer to build and deploy agentic AI products within AWS Applied AI Solutions. The role involves transforming research into production systems, owning end-to-end deployment, and establishing scalable ML processes. | AgentServe | 7 |
| Senior AI Solution Architect This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | Agent | 7 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on guiding customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, recommending architectures for GenAI/ML and Agentic projects, influencing roadmaps, defining cloud-native architectural patterns, and creating technical content. The role requires hands-on experience with AWS AI services, LLM integration, fine-tuning, inference, RAG, evaluation, vector databases, agentic workflows, and MLOps. | AgentServe | 7 |
| Sr. AI Specialist SA This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, designing scalable architectures, advising on best practices, and contributing to the development of AWS AI services. It requires hands-on experience with AWS AI services, implementing solutions like RAG, LLMs, and agentic workflows, and translating customer needs into technical solutions. | AgentServe | 7 |
| Applied Scientist II, Central Machine Learning This role focuses on building and deploying advanced machine learning models for consumer business applications, optimizing business operations and profitability. It involves end-to-end ownership from data analysis and model development to implementation and scaling, with a strong emphasis on creating automated processes for model lifecycle management. | AgentServe | 7 |
| Senior AI Solution Architect This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments, acting as a trusted advisor to customers on adopting GenAI/ML and Agentic technologies. The Senior AI Solution Architect will manage technical relationships, make recommendations on architecture, and influence roadmap enhancements. Responsibilities include building technical relationships, advising on security, cost, performance, and operational efficiency for GenAI/ML and Agentic projects, and acting as the voice of the customer internally. The role involves defining cloud-native GenAI/ML and Agentic architectural patterns, creating and sharing best practices, technical content, and reference architectures, and evangelizing AWS technology for GenAI/ML and Agentic workloads through various channels. Additionally, it requires leading hands-on deep dives and technical workshops, contributing reusable code and assets. | Agent | 7 |
| Solutions Architect, Consumer Packaged Goods Solutions Architect role focused on driving adoption of AWS cloud solutions for Consumer Packaged Goods (CPG) companies, with a specific emphasis on Generative AI and Agentic AI. The role involves understanding CPG business challenges, architecting cloud solutions, educating customers on AWS capabilities, and helping them navigate the shift towards AI-driven operations and autonomous agents. This includes driving adoption of GenAI for demand forecasting, agentic ERP exception handling, and supply chain analytics, as well as building relationships with stakeholders and advocating for CPG-specific product needs. | Agent | 7 |
| Sr. Product Manager, Progression Intelligence Senior Product Manager to own the product vision and execution roadmap for Progression Intelligence, a charter at the intersection of machine learning, real-time decisioning, and customer lifecycle strategy. The role involves leading the technical integration of various systems onto a unified agentic orchestration platform to enable faster experimentation and more personalized interventions. Requires comfort with ML systems, API architecture, and product strategy, working closely with applied scientists and engineers to ship systems delighting millions of customers. | AgentPost-train | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs. | AgentServe | 7 |
| Principal AI Solution Architect, Data & AI Specialist Solutions Architect team This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | AgentServe | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps. | Agent | 7 |
| Principal Solutions Architect, CEE Enterprise, FSI Principal Solutions Architect for AWS, focusing on financial services in Central Eastern Europe. The role involves leading technical strategy, architecting and implementing cloud solutions, and guiding customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. Key responsibilities include designing scalable, secure, and compliant architectures, championing innovation with agentic architecture patterns and AI-SDLC methodologies, and translating business challenges into cloud-native solutions. The role also involves thought leadership, mentoring other Solutions Architects, and contributing to the AWS knowledge base. | Agent | 7 |
| Software Development Engineer III, Sponsored Products and Brands Software Development Engineer III for Amazon's Sponsored Products and Brands team, focusing on building conversational ad experiences powered by LLMs. The role involves developing large-scale, low-latency distributed systems, ML infrastructure, LLM-based AI workflows, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | AgentServe | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities. | Agent | 7 |
| Sr. Applied Scientist, Amazon Books This role focuses on developing and implementing novel algorithms and agentic systems at the intersection of AI, LLMs, NLP, search, and deep learning for the Amazon Books team. The goal is to advance the state-of-the-art and build technologies that enhance customer discovery experiences for millions of users. | Agent | 7 |
| Principal Solutions Developer , Prototyping and Customer Engineering (PACE) Principal Solutions Developer role focused on building prototypes and customer engineering solutions using AI, Agentic Design, Serverless, and multimodal Generative AI. The role involves partnering with customers to explore new technical grounds, craft scalable solutions, and accelerate AWS adoption. It requires a builder's mentality, technical depth, business acumen, and the ability to operate independently in ambiguous environments. | Agent | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior GenAI & ML Specialist Solutions Architect for AWS, focusing on Automotive & Manufacturing. This role involves customer-facing pre-sales, designing and deploying Generative AI and ML solutions on AWS, and engaging with enterprise customers and partners. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps, along with strong software engineering and cloud architecture skills. | Agent | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on building AI/ML solutions for Amazon's Advertising Sales business. The role involves developing and implementing models for insights, recommendations, and generative AI-powered workflows to improve sales team efficiency and customer success. It requires expertise in quantitative modeling, deep learning, RL, and NLP, with a focus on production deployment and A/B experimentation. | AgentPost-train | 7 |
| Applied Scientist, Sales AI This role focuses on building AI agents to optimize end-to-end workflows for Amazon's Advertising Sales organization. It involves applying expertise in NLP, LLMs, Deep Learning, Reinforcement Learning, and Recommender Systems to create and refine production-ready models, with a strong emphasis on autonomous agents operating at scale. The scientist will also collaborate with engineering and product teams, conduct A/B experiments, and contribute to scientific publications. | Agent | 7 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models to enhance last-mile delivery operations within Amazon Logistics. The Process Analyst will work at the intersection of operations, analytics, and automation, developing and deploying intelligent systems for forecasting, capacity management, and decision support. The role involves translating operational challenges into automated solutions using SQL, Python/R, and AI/ML capabilities, creating intelligent dashboards, predictive models, and automated reporting systems. It requires partnering with Data Science and Engineering teams to deploy AI/ML solutions into production and evaluating emerging AI technologies. The position emphasizes leading AI/automation projects from conception to scaling, balancing business requirements with technical feasibility, and influencing cross-functional teams. | Agent | 7 |
| Sr. Generative AI Specialist Solutions Architect, Brazil Senior Generative AI Specialist Solutions Architect for AWS Brazil. The role involves helping clients build and deploy GenAI applications using Amazon Bedrock and SageMaker, fine-tuning and creating GenAI models, and enabling enterprise clients to leverage these models for end-user applications. The position also includes influencing product direction and helping clients enter new markets with GenAI. The role requires deep technical expertise in multimodal generative image technologies, fine-tuning, and prompt engineering, with a preference for strong ML development experience and experience building applications and designing architectures. The individual will act as a subject matter expert, evangelize AWS GenAI services, partner with internal teams, and provide customer feedback to product and engineering teams. | AgentPost-train | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Detection and Execution Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders. | Agent | 7 |
| Principal, PMT, Selling Partner Identity Verification Product Manager for a team focused on seller identity verification and fraud detection within Amazon's Selling Partner Trust and Store Integrity organization. The role involves owning products that authenticate seller identities, detect changes, orchestrate workflows, and route sellers based on risk. It requires defining product strategy, working with engineering and science teams on ML models, and influencing cross-functional stakeholders in a complex, adversarial domain. | AgentData | 7 |
| Software Development Engineer II, Ads AI Core Infrastructure Software Development Engineer II role focused on building AI agent infrastructure for Amazon Advertising. The role involves designing and implementing scalable real-time data ingestion and processing pipelines to provide advertiser context to AI agents with sub-second latency. Key responsibilities include architecting data services, optimizing performance, and leveraging AI coding agents for development. The role operates at the intersection of real-time data engineering and AI agent infrastructure, aiming to deliver immediate, strategic advice to advertisers. | AgentData | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior Solutions Architect for Generative AI and ML workloads in the Automotive & Manufacturing sector, focusing on customer adoption of AWS services. This role involves translating business challenges into technical solutions, designing and deploying architectures, engaging with enterprise customers and partners, and providing feedback to product teams. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, agents, and AIOps, along with strong business acumen for customer engagements. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Management Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team. | Agent | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. | Agent | 7 |
| Applied Scientist II, FinAuto Applied Scientist II role focused on building and implementing machine learning models for financial fraud, theft, abuse, and waste detection within Amazon's financial systems. The role involves research, development, and production deployment of ML solutions, with a focus on analyzing large datasets and creating scalable solutions. | Agent | 7 |
| Senior Software Development Engineer, Ads Agent Fabric (Ads AI Core Infrastructure) Senior Software Development Engineer role focused on building and owning the design and delivery of critical infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, agent-builder tools, and a managed runtime, enabling advertisers to build and deploy AI agents at scale. The role involves working at the intersection of distributed systems, ML infrastructure, and developer tooling, defining technical strategy for scalable platforms in an emerging space. | AgentServe | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications, with a significant emphasis on integrating AI/ML technologies to enhance design processes. The engineer will lead the customization and extension of Cadence applications, explore AI-based design review and generation capabilities, and collaborate with AI/ML teams to integrate LLMs and ML into ECAD workflows. The goal is to enable intelligent automation and design assistance in hardware engineering. | Agent | 7 |
| Sr. Software Development Engineer. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on building innovative solutions for brand measurement in Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and deliver AI-driven insights to advertisers. | Agent | 7 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience. | Agent | 7 |
| Sr Software Dev Engineer, Customer Behavior Analytics This role focuses on building and operating Amazon's customer behavior analytics and targeting systems, specifically inventing and scaling agentic analytics and targeting. The goal is to create an AI-powered content targeting ecosystem where human and AI agents collaborate, driving efficiency across the entire lifecycle. The role involves building at scale, ensuring customer experience, safety, security, data integrity, and implementing correctness and accuracy measurements and guardrails for agentic actions. | Agent | 7 |
| Sr. Data Scientist, WWPS ProServe Data and Machine Learning Senior Data Scientist role at AWS ProServe focused on designing, implementing, and scaling AI/ML and Generative AI solutions for enterprise customers. The role involves working directly with clients to understand their needs, develop statistical models, select and train models, and guide them through their AI transformation journey. Requires strong expertise in data science, ML, generative AI, and AWS cloud services, with a focus on delivering customer success and business value through AI. | Agent | 7 |
| Software Dev Engineer Intern, OpenSearch, 2026 Shanghai Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems. | AgentServe | 7 |
| Sr. Applied Scientist, Amazon Transportation Senior Applied Scientist role focused on designing and evaluating algorithms for predictive modeling and optimization in large-scale transportation planning systems. This involves developing novel machine learning and AI techniques to improve marketplace optimization solutions, working closely with business leaders and engineers to build scalable products, and implementing models within production systems. | Agent | 7 |
| Sr. Software Engineer, Mobile Manipulation Robotics Senior Software Engineer role focused on architecting and building next-generation robotic systems for warehouse automation. The role involves designing motion planning algorithms, developing vision-guided manipulation systems, and orchestrating complex multi-step workflows using behavior trees or state machines. Experience with robotics middleware (ROS/ROS2) and ML frameworks is preferred. | Agent | 7 |
| Applied Scientist II, Selection Monitoring, Selection Monitoring This role focuses on developing and deploying advanced ML/AI technologies for Amazon's catalog expansion, involving information extraction, web crawling, and comprehension using deep learning, NLP, and image processing. The scientist will build scalable systems to extract and structure information from the web, including visually rich documents, and work with LLMs/SLMs and agentic systems. The role requires a strong foundation in ML model development, deployment, and collaboration with software engineering teams. | AgentData | 7 |
| Private Equity AI Solutions Architect, AWS Private Equity This role focuses on enabling Private Equity (PE) firms and their portfolio companies to leverage Generative AI and Machine Learning to solve business challenges. The Solutions Architect will design and architect end-to-end AI/ML solutions, including AI agents and RAG applications, using AWS AI services. The role involves partnering with PE firms, understanding business requirements, and guiding customers in architecting enterprise-grade GenAI solutions. | AgentServe | 7 |
| Sr Risk Manager, Amazon Business Payments & Lending The Sr. Risk Manager will drive the strategy and performance of lending portfolios within Amazon Business Payments & Lending. This role involves product management, data analytics, and portfolio strategy, with a unique focus on leveraging and shaping an AI Agent for portfolio management. Responsibilities include defining metrics, identifying trends, driving strategic initiatives, cross-functional leadership, data-driven innovation, and operational excellence, all while working with a generative AI tool to automate analysis and generate insights. | Agent | 7 |
| Senior Generative AI Solutions Architect, LATAM Cloud AI and Innovation This role focuses on designing and implementing generative AI solutions for enterprise customers in Mexico, leveraging AWS technologies. The Senior Generative AI Solutions Architect will guide customers on AI architecture, security, data governance, and operational best practices, while also creating technical artifacts, workshops, and content. Key responsibilities include architecting solutions for multi-agent orchestration, RAG, and chat-based assistants, and helping customers navigate regulatory frameworks and achieve production readiness. | Agent | 7 |
| Sr. Prompt Engineer, TSE This role focuses on prompt engineering for Generative AI and LLMs, involving the full prompt lifecycle from concept to production. Responsibilities include developing Python code, managing CI/CD pipelines, architecting contextual frameworks, and testing prompts to enhance AI performance and address real-world challenges like counterfeit detection within the Trustworthy Shopping Experience team. | Agent | 7 |
| Data Scientist II, Amazon Private Brands Data Scientist II at Amazon Private Brands focused on applying Generative AI, Machine Learning, Statistics, and Economics to product assortment, business decisions, and product inputs. The role involves investigating business problems, inventing novel solutions, prototyping, and deploying production software, with research areas including NER, product substitutes, pricing optimization, agentic AI, and LLMs. The Data Scientist will also guide other scientists and publish research. | Agent | 7 |