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 |
|---|---|---|
| Sr Software Development Manager, Generative AI for AWS Neuron This role is for a Senior Software Development Manager leading a team to build AI agents and tools that simplify and accelerate customer adoption of AWS Neuron, a software stack for Amazon's Machine Learning silicon (Trainium). The focus is on applying Generative AI to improve the process of porting and optimizing ML workloads on Neuron, involving collaboration with scientists, engineers, and customers. | AgentServe | 8 |
| Member of Technical Staff, AGI Autonomy This role focuses on developing training environments, tasks, and integrations for scaling RL environments and core model capabilities for browser-based agents. The primary responsibility is to architect and deliver robust software solutions, including agentic harnesses, and engineer high-performance systems using TypeScript and Python. |
| AgentData |
| 8 |
| Sr. Machine Learning Engineer, AWS Applied AI Solution Senior Machine Learning Engineer at AWS Applied AI Solutions focused on building a new agentic product. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for model development, validation, and serving. Requires expertise in agentic systems, production ML, and scalable deployment architectures, bridging research and customer-facing products. | AgentServe | 8 |
| Applied Scientist, Last Mile Delivery Automation Applied Scientist role focused on developing AI/ML solutions for Last Mile Delivery Automation, combining expertise in machine learning, computer vision, and robotics for perception, navigation, and path planning. The role involves transforming research into production-ready solutions and collaborating with engineering teams. | AgentServe | 8 |
| Applied Scientist II, Business Data Technologies This role focuses on designing and deploying GenAI, NLP, and Computer Vision solutions for Amazon's retail business services, aiming to enhance customer experience and operational efficiency. The scientist will develop novel ML techniques for task automation, text and image processing, and anomaly detection, with a strong emphasis on LLM Agents and multi-modal understanding. | AgentPost-train | 8 |
| Sr Business Research Scientist, RBS Senior technical leader to architect an intelligent decision-making platform using advanced AI/ML models for dynamic, context-aware decisions at scale. Focuses on generalized analytical patterns, multi-tenant processing, real-time context, and automated discovery within a large-scale, distributed system. The role involves building platform-level capabilities and ensuring pattern sharing while maintaining tenant isolation. | Agent | 8 |
| Applied Scientist II, Amazon Smart Vehicles The Amazon Smart Vehicles (ASV) science team is seeking an Applied Scientist with expertise in advanced LLM technologies to create personalized services for drivers and passengers, enhancing their experience on the road. The role involves innovating in AI research, developing novel algorithms, and applying theoretical models in an applied environment, with direct application to Amazon products. The scientist will leverage Amazon's data and computing resources to advance generative AI and work closely with other teams to drive impact. | Agent | 8 |
| Senior Applied Science Manager, Amazon Sponsored Products & Brands Lead a team to invent and build the SPB-Agent, a GenAI platform transforming retail-media advertising for Amazon advertisers. This agent will act as an intelligent advisor integrated into Amazon Ad Console and Seller/Vendor portals, using conversational interfaces and deep reasoning to help advertisers discover growth opportunities, optimize campaigns, and execute strategies at scale. | Agent | 8 |
| Senior Applied Scientist , RBS Tech This role focuses on designing and deploying GenAI, NLP, and Computer Vision solutions to enhance customer experience and automate operations within Amazon's retail business. It involves developing novel ML models for task automation, text and image processing, and anomaly detection, with a strong emphasis on multi-modal LLM agents and retrieval systems. | AgentPost-train | 8 |
| Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands This role leads the development of generative AI applications for advertisers, focusing on agentic experiences for recommendations and guidance. It involves fine-tuning, reinforcement learning, and preference optimization, with a strong emphasis on creating customer-facing products and mentoring AI talent. | AgentPost-train | 8 |
| Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more) This role is for a PhD student intern/co-op focused on robotics research, specifically in areas like manipulation, perception, motion planning, and autonomous mobile robots. The role involves applying machine learning, computer vision, and potentially LLMs to solve real-world robotics problems, with a focus on developing research prototypes and seeing them through from concept to working prototype. The work touches on data collection/preparation for training and research. | AgentData | 8 |
| Sr. Applied Science , AWS Agentic AI This role focuses on building next-generation models for intelligent automation within AWS Agentic AI. The scientist will develop innovative solutions for complex problems, focusing on areas like autonomous agents, API orchestration, planning, large multimodal models (especially vision-language), reinforcement learning, and sequential decision making. The role involves partnering with technology and business teams, utilizing extensive data and computational resources, and collaborating with engineers. There's an expectation to publish findings at peer-reviewed conferences. | Agent | 8 |
| Sr. Manager Applied Science, MLA Lead a team of scientists to research and prototype Machine Learning applications, focusing on Agentic AI and LLM solutions for seller experience, trust, and safety. The role involves designing and implementing large-scale, end-to-end business solutions and influencing technical strategy. | Agent | 8 |
| Senior Applied Scientist, Last Mile Delivery Automation Senior Applied Scientist role focused on developing and deploying machine learning models for Amazon's autonomous delivery systems, specifically in perception, prediction, and decision-making for autonomous vehicles. The role involves designing algorithms, leading research, transforming concepts into production, creating evaluation frameworks, and collaborating with engineering teams. | AgentServe | 8 |
| Principal Applied Scientist, Console Science Principal Applied Scientist role focused on building industry-leading Conversational AI Systems using Generative AI, LLMs, NLU, Dialog Systems, and Applied ML. The role involves developing novel algorithms and modeling techniques to advance human language technology, impacting millions of customers through products and services. It requires a PhD, extensive experience in ML model building for business applications, and a strong publication/patent record. The team uses generative AI and foundation models to reimagine customer experiences on AWS. | AgentPost-train | 8 |
| Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies Senior Software Development Engineer to lead the design and implementation of generative AI applications for data center design automation, integrating BIM platforms and AWS services. The role involves productionizing ML models, mentoring junior engineers, and building scalable systems in a greenfield opportunity. | Agent | 7 |
| Applied Scientist, TSI Science The role focuses on building and deploying end-to-end machine learning solutions to prevent eCommerce fraud, leveraging GenAI/LLM/VLM technology for risk evaluation and automated operations. It involves analyzing large datasets, developing and validating models, and impacting business profitability. | Agent | 7 |
| Director, Engineering Redshift, Analytics Engines Director of Engineering for Amazon Redshift's core query processing engine, focusing on SQL analytics for humans and AI agents at massive scale. The role involves defining technical strategy, leading a global team, and driving innovation in areas like AI-driven scaling, serverless processing, and natural-language analytics integration. | AgentServe | 7 |
| Software Development Engineer II, Selling Partner Trust & Compliance Software Development Engineer II on the Selling Partner Trust team at Amazon, building systems and AI-powered experiences to make selling on Amazon clearer, fairer, and more trustworthy. The role involves leveraging foundation models, building harnesses and pipelines for seller issue resolution, and working on GenAI-powered seller experiences at scale, including retrieval, output evaluation, and safety guardrails. | Agent | 7 |
| Sr. Software Development Engineer, Guidance & Personalization Senior Software Development Engineer role focused on building AI-native systems for advertising personalization and guidance. The role emphasizes explainable AI, multi-agent coordination, and real-time ML inference within a large-scale distributed systems context, integrating LLM-powered agents into production workflows. | AgentServe | 7 |
| Senior Product Manager - Technical, Audible Fraud Defense Senior Technical Product Manager for Audible's Fraud Defense team, owning product strategy and roadmap for fraud prevention and anti-piracy capabilities. This role involves defining and driving technical product strategy to combat evolving threats in creator fraud, customer fraud, and content piracy, working closely with engineering, data science, legal, and security teams. | Agent | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. The role involves defining technical vision, advising senior executives, establishing architectural standards, and driving AI-native delivery transformations, including agentic AI systems, governance, and responsible AI practices. | AgentServe | 7 |
| Principal Delivery Consultant – Data, Professional Services, AWSI HCLS This role is for a Principal Delivery Consultant at AWS Professional Services, focusing on Healthcare and Life Sciences (HCLS) transformation programs. The consultant will act as a technical leader, defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. The role involves advising senior customer executives, driving cross-team alignment, and championing responsible AI practices. A key focus is on AI-Native Delivery Transformation, including implementing AI-DLC methodologies and managing multi-agent systems at scale. | AgentServe | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer role focused on building agentic services and applications powered by large language models for Amazon's shopping experience. The role involves architecting, designing, and developing back-end systems, online services, service orchestration patterns, and agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team is working on an AI-first initiative to improve search using foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer to architect, design, and develop agentic services and applications powered by large language models for Amazon Shopping. The role focuses on building expertise in online service architecture, API development, and distributed systems for responsive agentic AI applications at scale, including service orchestration, agent frameworks, and real-time processing. The goal is to establish best practices, enable new agentic AI features, and contribute to the technical roadmap for intelligent agents that reason, plan, and execute complex tasks. | Agent | 7 |
| AWS Cloud Architect, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth This role involves architecting and designing cloud solutions for enterprise customers, with a specific focus on AI and Agentic AI architectures within the AWS Professional Services team. The role requires collaboration across Amazon business units and engagement with customers in pre-sales and implementation phases, translating technical concepts into business value. Fluency in Japanese is essential. | Agent | 7 |
| Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. This role involves defining technical vision, setting architectural standards, advising senior executives, and driving AI-native delivery transformation. The consultant will establish operational foundations for agentic AI, including governance, observability, guardrails, and orchestration, while championing responsible AI practices. | Agent | 7 |
| Senior Delivery Consultant – Modernization, Professional Services, AWSI HCLS Senior Delivery Consultant for AWS Professional Services focusing on Healthcare and Life Sciences (HCLS) transformation programs. The role involves defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. Key responsibilities include establishing enterprise architecture, providing executive technical advisory, driving cross-team alignment, architecting AI/ML and data solutions, and transforming delivery models using AI-native methodologies and multi-agent systems. | AgentServe | 7 |
| Software Dev Engineer II, Enterprise Security Products Software Development Engineer II role focused on building AI-powered security products for enterprise customers. The role involves owning the full lifecycle of large-scale, multi-tiered distributed systems, leveraging agentic AI development practices, and engineering end-to-end full-stack experiences. Key responsibilities include designing and implementing intelligent systems like agentic architectures and conversational interfaces, using AI tools to accelerate development, and partnering with researchers and product managers. The team emphasizes startup speed with Amazon scale, building AI and building with AI. | Agent | 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining vision, roadmaps, driving execution, and partnering with cross-functional teams on AI capabilities including Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 7 |
| Principal Technical Program Manager, Ad Measurements Science This role is for a Principal Technical Program Manager at Amazon Ads, focused on driving AI initiatives within the Ads Measurement Science team. The role involves managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, with a focus on AI tools like an Analyst Agent and a Customer Journey Model. The TPM will work across Product, Science, and Engineering to ensure successful execution and delivery of these strategic initiatives. | Agent | 7 |
| Data Scientist II, FinAuto This role focuses on building and deploying machine learning models for fraud, theft, abuse, and waste detection in financial transactions within Amazon's FinAuto team. It involves research, development, and implementation of novel ML approaches, partnering with engineering teams for production deployment, and mentoring other scientists. | Agent | 7 |
| Partner Solutions Architect, Agentic Business Processes, AWS Partner Field EMEA Partner Solutions Architect focused on Agentic AI, working with AWS partners across EMEA to help them build and deliver AI agent solutions that automate and augment complex workflows. This involves enabling partners on Agentic Orchestration, Amazon Bedrock, and Frontier Agents, and guiding them through the Agentic Process Transformation (APT) methodology. | Agent | 7 |
| Forward Deployed AI Integrator , Field Engineering This role focuses on integrating AI-assisted workflows within regional Field Engineering teams at AWS. The Forward Deployed AI Integrator will identify opportunities, drive adoption of AI tools, and convert experiments into repeatable standards, aiming to deliver measurable productivity outcomes. It's a hands-on execution role measured by transformed workflows and engineering hours saved. | Agent | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Software Development Engineer II role focused on building the platform and infrastructure for AI agents and skills within Amazon's builder experience. The role involves designing and developing scalable services, APIs, and systems for agent access to internal resources, and implementing benchmarking and prompt trace analysis for quality improvement. The goal is to integrate GenAI into the daily workflows of thousands of Amazon engineers. | Agent | 7 |
| AI Solution Architect AWS seeks an AI Specialist Solution Architect to guide customers in adopting GenAI/ML and Agentic technologies, focusing on converting AI ambitions into scalable production programs. The role involves building technical relationships, recommending architectures, and creating technical content. | Agent | 7 |
| Applied Scientist II, SCOT OSS - Sourcing Execution & Performance This role focuses on building agentic GenAI workflows for supply chain optimization, specifically for vendor coaching, evaluation, and collaborative inventory planning. It involves developing and deploying algorithms, collaborating with engineering teams on training and inference pipelines, and driving technical standards. | Agent | 7 |
| Applied Scientist, Amazon Precision Match The Applied Scientist will design, develop, and optimize ML-based matching algorithms for a high-scale customer service routing system. This involves feature engineering, running simulations and A/B tests, building real-time inference systems, and developing retraining infrastructure. The role focuses on connecting customers with the best service options using recommendation and real-time ML inference techniques. | AgentServe | 7 |
| Software Development Manager, Traffic Quality Software Development Manager for Amazon Ads Traffic Quality team, focusing on detecting sophisticated invalid traffic (IVT) using deep learning, generative modeling, and anomaly detection. The role involves defining engineering vision, overseeing production code development for billions of ad requests, and collaborating with scientists and product managers to solve complex detection problems at scale and under strict latency constraints. | AgentData | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - Agentic Conversations Software Development Engineer II role focused on building the infrastructure layer for managing agentic conversations and AI capabilities at Amazon scale. This involves designing and building scalable platform services for AI skills, agents, and tool integrations, developing APIs for autonomous agents, and creating systems for measuring agent quality and driving improvements. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Principal Product Mgr - Tech, Alexa 3P Experiences Principal Product Manager - Tech for Alexa+ 3P Experiences, focusing on defining the vision, roadmap, and features for conversational AI experiences leveraging LLMs and spoken language technologies. The role involves enabling internal teams and external partners to create engaging Alexa experiences, with a strong emphasis on developer platforms and ecosystems. The goal is to expand third-party capabilities on Alexa+ at massive scale. | Agent | 7 |
| Sr. Data Scientist , Companion Product & Servi (ComPAS) Senior Data Scientist to build advanced ML models and AI-powered tools for pricing, marketing, and consumer science within Amazon's Companion Products & Services portfolio. The role involves full model lifecycle ownership, leveraging generative AI and LLMs to automate insights and workflows, and designing experiments to measure impact. The goal is to create intelligent, self-improving systems for decision science at scale. | Agent | 7 |
| Analytics Solutions Architect Specialist Solutions Architect focused on designing and building agent-ready data platforms that leverage generative AI, RAG, semantic search, and real-time streaming for customers. The role involves providing best practices, designing reference architectures, and influencing service roadmaps. | AgentData | 7 |
| Senior Customer Solutions Manager, Aerospace and Satellite This role is for a Senior Customer Solutions Manager at Amazon Web Services (AWS) within the Aerospace & Satellite team. The primary focus is to act as a trusted advisor to senior stakeholders in aerospace and satellite organizations, guiding them on cloud technology and AI adoption to accelerate their missions. The role involves leading complex customer engagements, driving strategic execution of cloud adoption roadmaps, and accelerating value through modernization, generative AI, and agentic AI. It also includes enabling customers for responsible AI adoption and navigating ambiguity in dynamic situations. The role emphasizes understanding customer goals and driving end-to-end execution across AWS teams to deliver business outcomes. | Agent | 7 |
| Senior Deep Learning Architect, AWS Gen AI Innovation Center Senior architect role focused on designing and implementing generative AI solutions for AWS customers, with a strong emphasis on customer interaction, solution scaling, and best practices. | Agent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, HCLS This role focuses on designing and implementing cloud architectures for Healthcare & Life Sciences customers, with a significant emphasis on leveraging AI/ML and Generative AI. The Solutions Architect will build prototypes, proofs of concept, and reference architectures, and educate customers on AWS capabilities. The role requires staying current on emerging AI/ML technologies and translating that knowledge into actionable guidance. | Agent | 7 |
| 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 |
