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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 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 (1022 roles), Canada (59 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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Senior Sofware Development Manager, Core Shopping Senior Software Development Manager to lead a new 0→1 initiative focused on reinventing how customers discover, organize, and share across Amazon Lists, applying state-of-the-art AI. The role involves leading a team of engineers, transforming systems with AI-native development, owning technical strategy and delivery, and integrating Generative AI/LLM technologies. | Ship |
| 7 |
| Data Science I, SCOT Forecasting & Lab This role focuses on improving existing machine learning methodologies within Amazon's supply chain optimization team. The Data Scientist will analyze large datasets, develop and test model enhancements, fine-tune parameters, and formalize assumptions about model behavior. They will also contribute to the research community by publishing papers and collaborating with other scientists and academic researchers. The role requires strong analytical and communication skills to interface with business customers and stakeholders. | Post-train | 7 |
| Software Dev Engineer II, AWS Web Toolkit, Platform Experience Software Development Engineer II for AWS User Experience Products & Platform team, focusing on building an intelligent, agent-powered system to automate and accelerate AWS Management Console development. The role involves designing and architecting a multi-agent system leveraging LLMs, tool-use, and autonomous reasoning to generate, validate, and deploy console experiences. | Agent | 7 |
| Sr. Mgr, GenAI/ML Specialist Solutions Architects This role is for a Sr. Manager, GenAI/ML Specialist Solutions Architects at AWS, focusing on scaling the GenAI/ML business within specific industry segments (Auto/Mfg, Media & Entertainment). The individual will lead a team of Solutions Architects, define technical strategy, and partner with sales and product teams to drive customer adoption and growth of AWS's GenAI/ML services. The role requires strong leadership, deep technical understanding of AI/ML services, and experience in enterprise customer-facing roles. | Ship | 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 |
| Research Scientist, Safety-Critical Control, Robotics, SAF Lab Research Scientist focused on developing Control Barrier Function (CBF) theory and algorithms for safety-critical control in robotics. The role involves creating algorithms with formal safety guarantees, integrating them with learned control policies, and deploying them on next-generation robots. Key responsibilities include developing novel CBF algorithms, framing safety filtering within layered architectures involving learning-based components, designing multi-layer CBF filters, and formalizing the interplay between models and system dynamics. The role also requires implementing real-time optimization solvers, validating algorithms through simulation and hardware experiments, and contributing to theoretical foundations through publications. Collaboration with various teams and product leaders is essential for setting a science roadmap. | ShipServe | 7 |
| Applied Scientist, Amazon Redshift Research scientist to build deep learning models for predicting query resource consumption in Amazon Redshift, covering the full ML lifecycle from data analysis to production deployment and publication. | Post-trainServe | 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 Product Manager, Amazon Business India Senior Product Manager for Amazon Business India, focusing on new customer acquisition and traffic. The role involves defining product strategy and roadmap, leveraging ML and Generative AI for targeting, personalization, and conversational experiences. It also includes building verification systems and a cross-store shopping experience, requiring close collaboration with engineering, science, and marketing teams. | AgentData | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure. The engineer will be responsible for the complete vertical stack, from silicon to system-to-system interfaces, ensuring the quality and performance of AI/ML accelerators. This involves developing validation strategies, executing test plans, debugging hardware, and collaborating with various engineering teams throughout the product development lifecycle. | ServeAgent | 7 |
| Applied Scientist II, Amazon Private Brands Applied Scientist II role focused on building and deploying Generative AI and Machine Learning solutions for Amazon Private Brands' product assortment, pricing, and merchandising. The role involves adapting state-of-the-art research, inventing novel solutions, developing prototypes, and implementing production software, with a focus on agentic AI and large language models. Responsibilities include partnering with business stakeholders, adapting ML solutions, inventing and deploying novel science solutions, reviewing team's work, and publishing research. | Agent | 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 |
| Data Scientist, Network Fabric Engineering The Data Scientist will develop risk and reliability models for network availability using telemetry data, build operational analytics and dashboards, and design experiments to evaluate automation, including agentic systems. The role focuses on providing evidence for decisions, measuring outcomes of operational changes, and improving data quality for availability programs. | AgentEval Gate | 7 |
| Principal Product Manager - Technical, Amazon Lists Principal Product Manager - Technical to lead a new 0->1 initiative shaping how customers discover, organize, and share across Amazon, leveraging Generative AI and LLMs for transformative customer experiences. This role requires creative product thinking, deep technical fluency, and influencing senior leadership to drive execution across engineering, science, and design teams. | Ship | 7 |
| Business Research Analyst, ARTS This role involves developing and implementing ML/LLM solutions for business needs within Amazon's Global Stores division. The analyst will collaborate with experts, drive product pilots, build scalable solutions, write code, develop ML/LLM models, and optimize solutions by coordinating between science and software teams. The role requires working independently in ambiguous, fast-paced environments with ML/LLM models. | Post-train | 7 |
| Customer Solutions Manager, Aerospace and Satellite The Customer Solutions Manager (CSM) for AWS's Aerospace & Satellite team advises aerospace and satellite organizations on cloud adoption and AI transformation. The role involves guiding customers through multi-year cloud adoption, migration, modernization, and AI transformation initiatives, focusing on deploying agentic AI workflows, building generative AI assistants, modernizing telemetry and command platforms, and accelerating launch readiness with intelligent automation. The CSM acts as a trusted advisor and central connector between customers and AWS teams, driving execution and identifying opportunities for AI/ML capabilities in space data processing and autonomous operations. | Agent | 7 |
| Software Development Engineer II, 3P Seller Tools and Gen AI Solutions, ISS Software Development Engineer II on the 3P Seller Tools and Gen AI Solutions team, building internal tools and external solutions powered by cloud computing and generative AI for 3P Sellers. The role focuses on agentic AI and distributed systems, creating new products and services from the ground up. | Agent | 7 |
| Data Scientist II, ROW AOP, Analytics Operations and Programs This role focuses on developing AI/ML products and scalable analytics applications for operations optimization. Key responsibilities include AI Agent development for data analytics, applying statistical and ML techniques, developing science-based Supply Chain solutions, and working with LLMs to automate processes. The role involves creating and maintaining data infrastructure for advanced analytics and ML solutions, with a focus on optimizing operations across various global regions. | AgentData | 7 |
| Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery The Principal PMT will drive the vision, strategy, and execution of a Machine Learning platform and infrastructure for Prime Video, powering personalization, discovery, and customer/content intelligence at a global scale. This role owns the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize ML solutions. Key responsibilities include defining the multi-year vision for ML platform and infrastructure, developing data platform strategy, building end-to-end ML tooling, supporting large-scale model training and real-time inference, defining feature store strategy, owning the developer experience for ML builders, enhancing the measurement platform, influencing senior leadership, and driving adoption of platform capabilities. | ServeData | 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 |
| Senior Applied Scientist, AWS Automated Reasoning Senior Applied Scientist role at AWS focused on automated reasoning, privacy, and sovereignty solutions. The role involves solving complex problems, designing and implementing solutions with long-term impact, providing technical influence, developing strategic plans for new solutions, and mentoring others. Requires a Master's degree, programming experience, and experience with neural deep learning, machine learning, building ML models for business applications, and applied research. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy, reduce latency, and enhance customer features. The role involves designing, implementing, and delivering software, creating infrastructure for LLMs in audio, and influencing the operational roadmap for core audio services. | ServePost-train | 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, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 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 |
| Principal Transformation Strategist, AI Engineering This role focuses on helping AWS customers design, build, and productionize AI agentic systems using services like Amazon Bedrock and AgentCore. It involves direct customer engagements, developing reusable assets and open-source contributions, and influencing AWS service roadmaps. The role requires a blend of engineering, advisory, and product influence, with a strong emphasis on customer outcomes and responsible AI practices. | 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 |
| Software Development Engineer , Amazon Core Search Software Development Engineer to work on improving Amazon Search using LLMs, NLP, ML, and DL technology. The role involves developing high throughput and low latency solutions for query-product matching at scale, with a focus on building products with LLMs/NLP/ML/DL at their core. | ServeAgent | 7 |
| Applied Scientist II, On Road Experience Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile delivery experience, involving mapping, location, sensor data pattern detection, and computer vision. The role requires driving designs from ideation to production, with an emphasis on building v1 products autonomously. | Agent | 7 |
| Software Dev Engineer II, IDEAS Software Development Engineer II role at AWS focused on building foundational customer intelligence for go-to-market teams. The role involves designing and delivering solutions that combine distributed big data technologies and agentic AI development, with a focus on data ingestion, scalable systems, and ML-optimized data foundations for RAG, recommendation engines, and predictive models. The engineer will also work with inference capabilities and apply ML to solve data problems. | AgentData | 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, Intelligent Talent Acquisition - Lead Generation & Detection Services Design and implement machine learning models for recommendation systems in talent acquisition at Amazon, focusing on fairness and explainability. The role involves full software development lifecycle, collaboration with cross-functional teams, and staying current with scientific literature to improve hiring processes. | ShipAgent | 7 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS), AWSI Sales Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. The role involves translating business objectives into technical solutions, guiding customers on industry trends and agentic AI, and collaborating with internal AWS teams to drive innovation and successful solution implementations. | Agent | 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 |
| Software Development Engineer, RecsAI Software Development Engineer role focused on building and operating features for Amazon's next-generation recommendation system (RecsAI), which is built on a custom-trained LLM for shopping. The role involves designing and delivering end-to-end solutions at Amazon scale, integrating LLMs into real-time recommendation experiences, and collaborating with product and science teams. | Ship | 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, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 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 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
