Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| Software Dev Engineer - Full Stack, GenAIUX The role focuses on building Generative AIUX products for AWS customers, specifically an AI-powered internal prototyping tool (Venue) and an external version (Arena). It involves integrating with LLMs, optimizing AI-driven interfaces, and designing end-to-end GenAI-powered services for design generation, validation, and automation. | Agent | 7 |
| Applied Scientist II, Secure Tool Foundations This role focuses on designing and building agentic AI systems for security automation within Amazon. The scientist will reason about code, produce security intelligence, and adapt AI/ML techniques to solve security problems, ultimately contributing to the development of secure software at scale. | Agent | 7 |
| Agent |
| 7 |
| Senior Applied Scientist, Last Mile Senior Applied Scientist role focused on developing and optimizing machine learning models and algorithms for Amazon's Last Mile delivery network. The role involves building solutions for capacity management, system policies, and optimizing delivery operations, with a strong emphasis on operations research and analytical skills. Candidates will be responsible for end-to-end model development, from data analysis to production system implementation, and will also mentor junior scientists. | Ship | 7 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role is for a Builder Solution Architect on the AWS Product Marketing Demo Engineering team. The primary responsibility is to design and implement production-quality technical demonstrations, sample code, and starter projects for AWS services, particularly focusing on Generative AI and Machine Learning. The role involves collaborating with various teams (field, GTM, service, cross-functional stakeholders) to understand use cases and develop demonstration solutions. The architect will also contribute to demo standards, best practices, and knowledge sharing through blogs and reference architectures. The role emphasizes software development skills to create showcases for new products and features, working in ambiguous environments and learning new concepts quickly. | Ship | 7 |
| Senior Robotics SDE III, Amazon Robotics - Vulcan Senior Software Development Engineer for Amazon Robotics' Vulcan program, focusing on motion behaviors for robotic manipulation. The role involves designing and building software infrastructure, observability tools, and ML training/deployment pipelines for production robot systems. It sits at the intersection of robotics, ML systems, and production engineering, requiring experience in C++, Python, and building reliable, scalable systems in complex real-time domains. | AgentServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science This role is for a Delivery Consultant on the AWS Professional Services team, focusing on implementing end-to-end AI/ML and Generative AI solutions for enterprise customers in the life sciences industry. The consultant will design, implement, and manage AWS AI/ML and GenAI solutions, working closely with customers to understand their needs, architect scalable solutions, and ensure successful adoption. Responsibilities include data preparation, model development, deployment, monitoring, MLOps, and acting as a trusted advisor. | ShipServe | 7 |
| Applied Science Manager, Stores-Ads Science Applied Science Manager to lead a team focused on understanding and optimizing how advertising creates value for shoppers and selling partners, particularly as the shopping experience evolves towards agentic commerce. The role involves leading research, designing experiments, developing optimization algorithms, and translating research into production systems, with a strong emphasis on causal inference, economic modeling, and applied ML. | AgentData | 7 |
| Sr Applied Scientist, Amazon Fulfillment Tech - Science Sr. Applied Scientist role focused on developing and deploying optimization, ML, and GenAI/LLM solutions for Amazon's fulfillment network. The role involves understanding operational processes, designing mathematical models, creating prototypes, partnering with engineers for production integration, and monitoring performance. Requires experience in building and deploying optimization and ML models at scale. | Ship | 7 |
| Software Development Manager , EC2 Nitro This role leads a performance engineering group focused on optimizing ML infrastructure for EC2, covering diverse workloads like LLMs and multimodal models. The responsibilities include building and managing a team, driving architectural decisions, developing performance measurement infrastructure, and establishing regression coverage across the ML systems stack from low-level optimization to serving layers. | Serve | 7 |
| Data Scientist I, SCOT-Inbound, Planning Optimization This role focuses on developing and enhancing mathematical optimization models for supply chain planning, specifically for Amazon's North American network. It involves building intelligent agents using Agentic and Generative AI to automate planning workflows, make model outputs interpretable, and run network simulations. The role also includes collaborating with software engineering to productionalize models on AWS infrastructure and designing metrics for performance evaluation. | Agent | 7 |
| Software Development Engineer, Sponsored Products Off-Search Homepage Team Software Development Engineer role focused on applying Generative AI and Large Language Models to enhance advertising experiences on Amazon's shopping surfaces at massive scale. The role involves designing, developing, and operating large-scale distributed systems, optimizing data pipelines, and collaborating with scientists and product managers to deliver personalized, context-aware advertising solutions. | Agent | 7 |
| Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM Senior Solutions Architect focused on Generative AI (GenAI) and Amazon Bedrock, responsible for designing and optimizing customer solutions, driving adoption, providing technical guidance, and acting as a liaison between customers and product teams. This role involves thought leadership, creating enablement materials, and building prototypes/PoCs for GenAI systems. | ShipPost-train | 7 |
| Sr. Prototyping Architect, AGS Security Engineering Senior Prototyping Architect for a new AGS Security Engineering team focused on building secure solutions and prototypes for customers adopting generative AI and agentic architectures. The role involves hands-on building of security capabilities, developing secure reference patterns, and enabling the broader field to build securely. It emphasizes working with emerging technologies and evolving secure engagement practices. | Agent | 7 |
| Software Development Manager, Worldwide Returns & ReCommerce This role is for a Software Development Manager on the Worldwide Returns & ReCommerce team at Amazon. The team builds AI and machine learning infrastructure for global reverse logistics, focusing on automating decision-making, maximizing financial recovery, and optimizing processing efficiency. The manager will lead teams in developing and deploying NLP, Computer Vision, and Classical ML models, as well as the associated infrastructure for model hosting, grading pipelines, and low-latency inference. | ServeData | 7 |
| Senior Business Intelligence Engineer, Devices Demand Science Optimization Senior Business Intelligence Engineer to build AI-native data products for Amazon Devices, architecting semantic and contextual layers for AI agents to reason over business data. Responsibilities include data pipelines, MCP servers, semantic layers for AI agents, AI-powered automation for business workflows, and evaluating/integrating emerging AI/ML capabilities. | AgentData | 7 |
| Applied Scientist, TSI - Science PhD or Master's level scientist with 3+ years of experience building models for business applications, focusing on machine learning, NLP, computer vision, automated reasoning, robotics, or quantum technologies. The role involves owning the design and development of end-to-end systems, creating technical roadmaps, and driving production-level projects for Amazon Science. Requires experience in patents or publications at top-tier conferences/journals and programming in Java, C++, or Python. | Ship | 7 |
| Sr Manager, Software Dev, Design Technologies This role is for a Sr. Manager of Software Development focused on building and delivering next-generation agentic AI technologies within Amazon's Devices organization. The role involves leading a team to create intelligent, scalable systems that unify enterprise tools and streamline data-driven decision-making, bringing AI-powered efficiency to the engineering ecosystem. The focus is on building and launching new AI services from the ground up, with a strong emphasis on agentic AI and its application in hardware engineering. | Agent | 7 |
| Applied Scientist, Amazon Customer Service This role focuses on applying Generative AI, ML, and NLP to enhance customer service experiences within Amazon. The Applied Scientist will own the definition and implementation of AI-driven innovations, transforming business requirements into technology solutions. Key responsibilities include developing novel algorithms, analyzing data for insights, and collaborating with cross-functional teams to integrate models into production systems. | Agent | 7 |
| Software Development Engineer II, AMX Learn Software Development Engineer II role focused on building AI-powered learning solutions and content creation tools using generative AI and an agentic AI framework for Amazon's talent development ecosystem. | Agent | 7 |
| Software Development Engineer III, Unified Intelligent Matching Systems (UIMS) Software Development Engineer III role focused on building and owning end-to-end large-scale distributed systems and AI/ML-powered applications for Amazon's product catalog. The role involves designing, implementing, and operating systems for product identity, matching, and relationship management, leveraging AI/ML solutions including multimodal LLMs, embedding-based systems, and agentic systems. Key responsibilities include leading architecture decisions, building and optimizing inference infrastructure, and partnering with Applied Scientists to productionize ML research. | ServeAgent | 7 |
| Sr. Software Development Engineer, Amazon Robotics Manipulation Senior Software Development Engineer role focused on building the intelligence layer for Amazon Robotics manipulation workcells. This involves designing, building, and operating distributed systems for work selection, data processing, ML lifecycle management, and predictive modeling. The role operates across the full ML and data lifecycle, impacting millions of packages and directly influencing fulfillment cost. | ServeData | 7 |
| Principal Applied Scientist, Agentic Automated Reasoning Group This role focuses on building the next generation of software verification tools by combining advances in AI, cloud computing, and formal verification techniques. The Principal Applied Scientist will define roadmaps, lead delivery of AI solutions, identify and implement new analysis capabilities, and explore generative AI for tasks like requirement formalization, test generation, and proof repair. The role involves using a combination of traditional formal methods and generative AI to solve complex code analysis problems. | Agent | 7 |
| Software Development Engineer, Data Analytics Integration AI and Platform Excellence Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows within Amazon's AWS Utility Computing organization. The role involves designing, developing, and optimizing AI/ML systems, collaborating with data scientists, and contributing to the full software development lifecycle. | Serve | 7 |
| Software Development Engineer, Data Analytics Integration AI and Platform Excellence Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows within Amazon's AWS Utility Computing organization. The role involves designing, developing, and optimizing AI/ML systems, collaborating with data scientists, and contributing to the full software development lifecycle. | Serve | 7 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services This role focuses on designing, implementing, and deploying GenAI and ML applications and models on AWS for customers. It involves providing technical guidance, gathering requirements, and advising on model training and deployment strategies, with a strong emphasis on AWS AI/ML services. | ServePost-train | 7 |
| Software Development Engineer, Amazon Search Autocomplete and Navigation AI Software Development Engineer for Amazon Search Autocomplete and Navigation AI. This role focuses on building next-generation mission understanding models and data collection frameworks, integrating models into large-scale, real-time production systems, and analyzing data to optimize system design and model performance. The position involves developing scalable data pipelines, designing and executing experiments, and managing ML initiatives. | ServeAgent | 7 |
| Senior Machine Learning Engineer, Sponsored Products and Brands Relevance Senior Machine Learning Engineer responsible for building and owning real-time ML serving systems for ad selection in Sponsored Products and Brands at Amazon. The role involves driving technical direction, designing scalable pipelines, optimizing model performance, and mentoring engineers, operating at massive scale with strict latency SLAs. It touches on deep learning, NLP, LLMs, and distributed systems, impacting shopper experience and advertiser ROI. | ServeAgent | 7 |
| Senior Applied Scientist, Workplace Health & Safety Senior Applied Scientist focused on transforming research into scalable, real-world solutions for Workplace Health & Safety, leading end-to-end design, development, and deployment of large-scale scientific systems, and mentoring junior scientists. | Ship | 7 |
| Customer Engineer, Advanced Customer Engineering, Global Financial Services Customer Engineer focused on building Agentic AI and multi-modal Generative AI applications and workflows for financial services customers on AWS. This role involves creating end-to-end solutions, prototypes, and modern data applications, with a strong emphasis on hands-on development with AWS AI services. | Agent | 7 |
| Software Development Engineer, Data Integration AI and Platform Excellence (APEX) Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows at Amazon. The role involves designing, developing, and optimizing systems, collaborating with data scientists, and contributing to the full software development lifecycle. Requires experience with ML/LLM fundamentals and optimization of model execution. | Serve | 7 |
| Sr. Technical Program Manager, AI Studios Sr. Technical Program Manager to drive the delivery of AI-powered production capabilities for Prime Video and Amazon MGM Studios. The role involves managing end-to-end delivery across Engineering, Product, Applied Science, UX, and creative production teams, translating production requirements into technical execution plans, managing dependencies, and ensuring delivery against ambitious milestones for an AI-native production platform called Nara. | Ship | 7 |
| Software Dev Engineer, Machine Learning Compilers Software Development Engineer focused on building the compiler infrastructure and software stack for custom neural accelerator silicon designed for edge AI capabilities. The role involves optimizing deep learning workloads, model quantization, and compression for efficient execution on hardware with limited memory, ultimately enabling large AI models to run on edge devices. | Serve | 7 |
| Applied Scientist, Safe Control, Amazon Robotics, Compass This role focuses on developing and implementing Control Barrier Function (CBF) algorithms for Amazon's robot fleet, ensuring safety and reliability in real-world conditions. The scientist will bridge the gap between theoretical mathematics and practical hardware implementation, addressing challenges like sensor noise and computational budgets, with the goal of achieving third-party safety certification. | Ship | 7 |
| Professional Services II - AMZ19475.5 This role focuses on building and delivering Generative AI solutions for customer-facing business problems using AWS services and open-source technology. Responsibilities include designing, developing, and evaluating solutions like RAG, multi-agent systems, and model fine-tuning, as well as providing guidance and creating best practices for customers. The role also involves analyzing data to optimize processes and identify investment opportunities. | AgentPost-train | 7 |
| Software Development Engineer, Amazon Marketing Cloud Assistant Software Development Engineer II role focused on building the backend services for an AI-powered conversational agent (Amazon Marketing Cloud Assistant) that allows advertisers to interact with data using natural language. The role involves designing and building scalable data pipelines, LLM orchestration, prompt engineering, tool use, agent workflows, and contributing to the evaluation framework for agent accuracy. It operates at the intersection of LLMs, distributed systems, and large-scale advertising data. | Agent | 7 |
| Research Engineer, Prime Video - Content Understanding Research Engineer role focused on building experiment frameworks, infrastructure, and deployment packages for Generative AI models within Prime Video. Responsibilities include managing GPU clusters, containerizing models, and developing monitoring pipelines for production deployment. The role supports applied scientists and involves end-to-end ownership of model training and deployment. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate on requirements, and advise on industry trends, ultimately helping customers achieve their business outcomes through AWS AI/ML services. The role involves working with customers to build and deploy models, with a focus on the end-to-end solution. | ShipServe | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. The role emphasizes using AWS AI/ML services and involves working with customers to achieve their business outcomes. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML applications and models on AWS for customers, acting as a trusted advisor and providing technical guidance throughout the project lifecycle. It involves understanding customer needs, proposing solutions, and ensuring successful deployment and optimization of AI/ML services. | ShipServe | 7 |
| Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and delivering GenAI and ML applications for enterprise customers on AWS. The consultant will act as a trusted advisor, providing technical guidance and collaborating with stakeholders to build custom AI tools and solutions, with a strong emphasis on customer success and project delivery. | Ship | 7 |
| SDE II - Scanless Tech, AR Scanless Technology Software Development Engineer II (SDE II) for Amazon Robotics Scanless Tech team, focusing on developing and deploying machine learning and computer vision based software technologies for robotics applications. The role involves building edge and cloud CV applications, leveraging AWS ML, optimizing fulfillment infrastructure, and partnering with Applied Scientists to develop ML applications. The team's solutions are core to the business and deployed at scale. | AgentServe | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS, covering the entire vertical stack from silicon to system. The engineer will work on hardware and software validation, ensuring performance, accuracy, and reliability of ML accelerators used in AWS data centers. Responsibilities include developing validation strategies, executing test plans, debugging hardware and software issues, and collaborating with cross-functional teams. | Serve | 7 |
| Applied Scientist II, Sponsored Products Applied Scientist II role focused on building and deploying generative AI technologies for Amazon's Sponsored Products and Brands advertising platform, with a focus on video content. The role involves developing new solutions, evaluating technologies, and mentoring other scientists, while working with LLMs and production environments. | ShipServe | 7 |
| Applied Scientist, NA Stores Expansion This Applied Scientist role focuses on building and deploying AI/ML models and LLM-powered systems for Amazon's North America Stores. The role involves developing workflows that combine ML models with optimization engines and human-in-the-loop capabilities, building scalable data and inference pipelines, and designing experimentation frameworks. The goal is to automate complex business processes and serve real-time predictions in production, impacting areas like supply chain, customer engagement, and inventory management. | AgentServe | 7 |
| Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML This role is for a Senior System Development Engineer focused on high-performance accelerator servers for AI/ML at AWS. The engineer will be responsible for designing, delivering, and operating next-generation infrastructure for AI training and inference, focusing on performance, efficiency, and scalability. The role involves deep technical understanding of the full stack from hardware to software, systems debugging, and leading complex projects. | Serve | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing GenAI and ML solutions on AWS for customers. The consultant will provide technical guidance, collaborate with stakeholders on model training and deployment strategies, and act as a trusted advisor on emerging technologies. The role requires experience in hosting and deploying GenAI/ML solutions, including pre-processing, training, fine-tuning, and inference. | ServePost-train | 7 |
| Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and managing AWS GenAI/ML solutions for customers, providing technical guidance, and acting as a trusted advisor. It involves working with customers to understand their needs and proposing effective strategies for model training, building, and deployment, with a strong emphasis on using AWS AI/ML services. | ServePost-train | 7 |
| Applied Scientist, Stores Economics & Science (SEAS) Applied Scientist role focused on economics and science within Amazon's Stores organization, applying expertise in machine learning, NLP, IR, statistics, and economics to solve business problems related to cost-to-serve, selection optimization, and emerging machine learning. The role involves leading initiatives from research to production, developing and maintaining scientific models, and designing algorithms and mechanisms for supply chain and marketplace challenges. | Ship | 7 |
| Applied Scientist II, Conversational Ad Experiences The role focuses on applying generative AI and LLMs to create conversational ad experiences for Amazon. Responsibilities include defining science roadmaps, building and deploying models, running experiments, and collaborating with engineers and product managers. The goal is to enhance customer experience and advertiser reach through innovative AI solutions in the advertising domain. | ShipPost-train | 7 |
