Currently tracking 1110 active AI roles, down 11% 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 |
|---|---|---|
| Applied Scientist, Tallent Intellgience This role focuses on building and deploying AI systems and machine learning models to optimize Amazon's global campus recruiting process. Key responsibilities include developing models for school recommendations, talent supply projections, and matching candidates to requisitions. The role involves creating data-driven models for sourcing strategies and recruiter decision-making, developing supply forecasting and school ranking algorithms, and leading the development of AI systems for automation and strategy recommendations. It also includes planning and implementing controlled experiments to test and optimize these systems. | AgentData | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building and designing next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models, including LLMs and GenAI, and leveraging AWS infrastructure for distributed systems at scale. |
| Ship |
| 7 |
| Senior Software Development Engineer, Autonomous AI Security Senior Software Development Engineer to create autonomous AI security solutions for Amazon, leveraging AI/ML to automate threat detection, analysis, and remediation. The role involves architecting, designing, and developing these systems, building scalable applications, and mentoring a new team to enhance Amazon's security posture. | Agent | 7 |
| Head of Learning Architecture, AWS Training and Certifications This role leads the Learning Architecture team at AWS Training & Certification, focusing on building the knowledge layer for AI agents that power personalized learning experiences. The team owns strategy, roadmap, and execution for systems like persona frameworks, skills, assessment architecture, and quality rubrics. The role involves managing a team of Learning Architects and collaborating with Applied Science and Engineering to define AI capabilities, drive quality at scale through a Quality & Rubric Engine, and govern the AWS skill taxonomy. Experience in people management and building products with Agentic AI is required. | AgentEval Gate | 7 |
| Principal Applied Scientist, Amazon Ads Management Principal Applied Scientist role at Amazon Ads Management focusing on developing and deploying ML solutions for full-funnel advertising campaigns. The role involves working with leadership on AI/ML strategy, adopting SOTA technologies, and shipping large-scale recommender systems. Requires significant applied ML experience and a track record of delivering customer-facing ML products. | Ship | 7 |
| Data Scientist- Finance AI Transformation, Global FP&A Technology, GFT, Corp FP&A Data Scientist role focused on building AI capabilities for financial planning and analysis (FP&A) at Amazon. The role involves developing forecasting models and AI systems, including agents, to automate repetitive finance tasks. The models ship to production and influence key financial decisions like stock-based compensation and headcount planning. Responsibilities include applying data science methodologies, leading model lifecycles from research to production, conducting experiments, and partnering with stakeholders. | AgentPost-train | 7 |
| Software Development Engineer, WHS Data-Tech Software Development Engineer role focused on building and deploying AI and computer vision systems for workplace safety at Amazon. The role involves designing, developing, and maintaining production services, optimizing data pipelines, integrating ML model outputs, and collaborating with applied scientists to productionize models. It emphasizes end-to-end ownership from data ingestion to edge deployment and operational maintenance. | ServePost-train | 7 |
| Software Development Engineer, WHS Data-Tech Software Development Engineer to build AI and computer vision systems for workplace safety, focusing on real-time inference, ML model deployment at the edge, and integrating ML outputs into internal tools. The role involves end-to-end software development, from data ingestion to production services. | ServePost-train | 7 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations Product Manager for AWS FinOps Agent, focusing on building agentic workflows and defining the strategy for generative AI in cloud financial management. The role involves understanding customer needs, defining product vision, and collaborating with engineering and applied science teams to deliver autonomous FinOps experiences. | Agent | 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 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment This role focuses on research and development of speech and audio generation technology, including end-to-end speech-to-speech architecture and audio processing solutions. The scientist will define research roadmaps, publish findings, and develop deep learning algorithms, with a focus on computer vision algorithms. The role involves building models for business applications and potentially mentoring/hiring other scientists. | Post-trainData | 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 |
| Applied Scientist II, Customer360 Research and develop new AI technologies for personalization using recommendations, information retrieval, and large language models. Build large-scale ML solutions for customer experiences. | Ship | 7 |
| Principal Product Manager – Technical, Amazon Music Agent Experience, Amazon Music - CX Infrastructure Principal Product Manager, Technical for Amazon Music's Agent Experience and Music Intelligence. This role defines the strategic vision for AI-powered music experiences across all Amazon Music product surfaces, focusing on cross-platform strategy, intelligence layer utilization, and emerging technologies like generative AI. The PM will influence senior leadership, partner across organizations, and translate complex technical capabilities into customer-facing product strategies with clear business cases. | Agent | 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 |