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 |
|---|---|---|
| Software Development Engineer, Finance Technology, ATARI Software Development Engineer role in Amazon's Finance Technology group, focusing on building big data and ML systems for fraud detection using Generative AI and LLMs. The role involves developing ML pipelines to process large transaction volumes and collaborating with scientists and finance teams. | Agent | 7 |
| Senior Specialist Solutions Architect - Agentic AI, AGS Specialist Solutions Architects Senior Specialist Solutions Architect focused on Agentic AI and Generative AI/ML workloads for enterprise customers on AWS. This role involves translating customer business challenges into technical solutions, designing and deploying architectures, engaging with senior stakeholders, and providing feedback to product teams. The role requires hands-on expertise in traditional ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps. | Agent |
| 7 |
| Director, Energy Solutions Architecture, AWS Industries Director of Solutions Architecture for AWS Energy, leading a global team to define technical strategy for energy customers, focusing on embedding AI and generative AI into enterprise processes and workloads. The role involves advising C-level executives, building reference architectures, and guiding customers through cloud and AI adoption, with a focus on scaling AI solutions. | Agent | 7 |
| Principal Firmware Engineer, Annapurna Labs ML Acceleration Systems Software This role is for a Principal Firmware Engineer focused on ML acceleration systems software within Amazon's Annapurna Labs. The engineer will lead a team in developing and deploying server firmware for millions of accelerators, using AI-driven tooling to diagnose and mitigate failures. The role involves close collaboration with hardware and software teams, establishing scalable operational procedures, and ensuring the reliability of systems used for machine learning workloads. | Serve | 7 |
| Data Science Manager, PXT Central Science Amazon is seeking a Data Science Manager to lead a team focused on developing causal predictive models for workforce decisions. This role involves building structural and predictive models, leveraging data science workflows, and exploring emerging techniques like LLMs and computer vision to improve operational efficiency and associate well-being. The manager will be responsible for team leadership, technical direction, strategic planning, and communication, with a focus on bringing research to production. | Agent | 7 |
| ML Compiler Engineer, Annapurna Labs Seeking a skilled compiler engineer to develop and optimize a deep learning compiler stack for AWS ML accelerators (Inferentia/Trainium), supporting frameworks like PyTorch, TensorFlow, and JAX for domains including LLMs and Vision. Responsibilities include compiler feature design, optimization, and collaboration with hardware, runtime, and framework teams. | Serve | 7 |
| AI Editor, Alexa for Shopping Content and Marketing Experiences This role focuses on improving AI model fluency through human-in-the-loop evaluations and LLM judge audits, developing prompting strategies, creating alignment data for LLMs in shopping use cases, and identifying/mitigating biases through fine-tuning. It involves cross-functional collaboration with Product, Science, and Design teams to enhance customer experience metrics and ensure model improvements for Alexa for Shopping. | Post-trainAgent | 7 |
| Senior Applied Scientist, Kuiper Data Science Platform Senior Applied Scientist role focused on building and productionalizing machine learning models for fraud detection and customer experience monitoring within the Project Kuiper satellite broadband initiative. The role involves data extraction, model building, evaluation, and deployment, with a focus on preventing fraud and abuse in customer terminal usage. | Agent | 7 |
| Applied Scientist II - AMZ9735083 Applied Scientist II role at Amazon focusing on the design, development, evaluation, and deployment of data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques, researching and implementing novel approaches, and mentoring junior scientists. Requires a Master's degree and one year of experience in ML model development or a related field, with proficiency in programming languages like Python and experience with supervised and unsupervised learning. | Serve | 7 |
| Sr. Software Development Manager - Performance and Tooling, AWS Neuron, Annapurna Labs This role is for a Sr. Software Development Manager leading a team of compiler engineers to develop, deploy, and scale a compiler targeting AWS Inferentia and Trainium chips. The focus is on optimizing performance, cost, and ease of use for the Neuron SDK, involving deep knowledge of resource management, scheduling, code generation, and optimization for various compute architectures. Experience with toolchains like LLVM/GCC and compiler internals is preferred. | Serve | 7 |
| Data Scientist II - AMZ9890779 Data Scientist II role focused on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models using large datasets. Requires experience with SQL, ETL, and modeling software like R, Python, or MATLAB. | Data | 7 |
| Applied Scientist III - AMZ9898484 Applied Scientist III at Amazon to participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. | ServePost-train | 7 |
| Data Scientist II - AMZ9803565 Data Scientist II role focused on designing and implementing scalable data science approaches, acquiring data via SQL/ETL, building various types of models (statistical, ML, NLP, neural networks), and validating/implementing them for production. Requires a Master's degree and one year of experience or a Bachelor's degree and five years of experience in building models, writing SQL, and applying modeling software like R, Python, or MATLAB. | Data | 7 |
| Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence Data Scientist II role focused on Demand Planning and Workforce Intelligence within Amazon's Customer and Partner Trust team. The role involves using machine learning and statistical techniques to forecast investigations, identify risks and abuse patterns, build predictive models for capacity planning, and optimize operations. The goal is to safeguard financial transactions and enhance trust in the e-commerce marketplace. | Agent | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II on the Digital Pricing team at Amazon, focusing on building and designing next-generation AI-powered pricing systems for digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, making real-time pricing decisions, and working with AWS infrastructure and distributed systems at scale. | Ship | 7 |
| Senior SDE, Machine Learning, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Personalization & Discovery team, responsible for building and operating ML systems that deliver millions of personalized recommendations per second. The role involves driving innovation through experimentation, leading engineering teams, system design, prototyping ML solutions, and planning A/B experiments to demonstrate customer value. The team focuses on ML-driven understanding of customer preferences to power video discovery experiences. | Ship | 7 |
| Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation Software Development Engineer focused on ML Systems Integration and Validation for next-generation ML accelerator servers. The role involves owning CI/CD pipelines, test frameworks, and system-level validation for an ML inference accelerator platform, with a focus on LLM inference workloads. | Serve | 7 |
| AI Language Engineer I, Artificial General Intelligence - Data Services The AI Language Engineer will develop diverse datasets for training and evaluating Amazon's AI models, using methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. This role involves designing data collections, analyzing data, building tools, and collaborating with cross-functional teams. | Data | 7 |
| Senior Specialist Solutions Architect, Agentic Engineering / Kiro Senior Specialist Solutions Architect focused on driving adoption of AWS Agentic Engineering offerings, including Kiro, Claude Code on Bedrock, and AWS Frontier Agents, within the startup ecosystem. The role involves technical thought leadership, go-to-market program execution, and collaboration with engineering teams to influence product roadmaps. Requires experience in customer-facing roles, AI/ML or generative AI, and modern SDLC automation. | Agent | 7 |
| Global Cash Application and Automation Senior Manager, Global AWS Accounts Receivable Senior Manager role leading global cash application and driving automation across the Order-to-Cash (O2C) ecosystem using AI, machine learning, and agentic solutions. Focuses on transforming manual processes into scalable, intelligent solutions within Amazon's finance operations, specifically for Accounts Receivable. | Agent | 7 |
| Applied Scientist II - AMZ9935275 Applied Scientist II role at Amazon Advertising focusing on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques to business and engineering problems, researching new approaches, and mentoring junior scientists. Requires a Master's degree and one year of experience (or Bachelor's with five years) in ML/related fields, with experience in programming (Java, C++, Python) and developing supervised/unsupervised ML models. | Ship | 7 |
| Applied Scientist, SCOT-Inbound Systems This role focuses on designing, developing, and deploying advanced mathematical optimization and machine learning solutions for Amazon's supply chain problems. The scientist will work on inventory and distribution optimization, network design, and control theory, implementing solutions in Java/Python and collaborating with software engineering teams. The role involves research, prototyping, simulation, and production deployment, with a focus on improving code quality and potentially publishing work internally or externally. | ShipData | 7 |
| Machine Learning Engineer, Sponsored Products and Brands Relevance Machine Learning Engineer on the Search Relevance team within Amazon Ads, focusing on using generative AI to improve product discovery and advertising relevance for millions of customers. The role involves designing and building scalable services and data pipelines for ML and LLMs, collaborating with scientists, and providing technical leadership. | Ship | 7 |
| Applied Scientist II - AMZ9970940 Applied Scientist II role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, researching novel approaches, and building/deploying ML models. The role also includes mentoring junior engineers and scientists. | Serve | 7 |
| Senior Delivery Consultant - Customer Experience AI Agents, and Conversational AI Senior Delivery Consultant for AWS ProServe focusing on designing and implementing AI-powered customer experience solutions using conversational AI, generative AI, and AI agents. The role involves consulting on AI agent architecture, prompt engineering, guardrail configuration, and integrating generative AI into contact center operations. | Agent | 7 |
| Applied Scientist II, Last Mile Applied Scientist II role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. This role involves building models for business applications, improving algorithms, and optimizing system policies to enhance delivery capacity, customer experience, and operational efficiency. Requires strong research experience in ML, Computer Vision, or GenAI, with a focus on production systems and data analysis. | Ship | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role at Amazon focused on building AWS AI services using ML and LLM technologies within the Information Retrieval space. The role involves designing, developing, testing, and deploying distributed ML systems and large-scale solutions, collaborating with experienced engineers and scientists, and influencing strategy and roadmap. It emphasizes working with the newest ML technologies on a high-visibility product. | Serve | 7 |
| Software Development Engineer II, Everywhere and External Team Software Development Engineer II role focused on applying AI/ML to logistics and customer problems within Amazon's Locker team. The role involves building AI-driven workflows, intelligent automation, predictive systems, and conversational experiences, integrating emerging AI technologies into customer-facing features and operational tooling. The team is scaling its locker network and aims to leverage AI for a tenfold increase in scale. | Agent | 7 |
| Senior Partner Solutions Architect, SAP Innovation GTM, APJ, AWS Partner Field APJ This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on generative AI and agentic systems. The individual will architect and build solutions, proofs of concept, and reference architectures, combining AWS services with SAP technologies. They will engage with customers and partners to solve complex business challenges, influence the product roadmap, and build partner capabilities. The role requires deep SAP functional expertise, hands-on AWS cloud and AI skills, and experience in customer-facing roles. | Agent | 7 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalised recommendation systems for millions of customers across European marketplaces. The role involves developing custom models (embeddings, persona matching) using Python and Spark, building production-grade Python services and serverless infrastructure (AWS Lambda, CDK) with APIs (FastAPI), and owning reporting and measurement for personalised marketing campaigns. It sits at the intersection of BI, data engineering, and data science, leveraging Amazon's global recommendation infrastructure and EU-specific data. | AgentData | 7 |
| AI Language Engineer , Artificial General Intelligence - Data Services This role focuses on developing diverse datasets for training and evaluating Amazon's AI models, utilizing methods like synthetic data generation, model-supported generation, and human-in-the-loop collections. The Language Engineer will design data collections, analyze data, build tools for data creation, and collaborate with scientists and engineers to evaluate AI model performance. | Data | 7 |
| AI Language Engineer II , Artificial General Intelligence - Data Services The AI Language Engineer II role focuses on developing diverse datasets for training and evaluating Amazon's AI models. This involves designing and executing complex data collection projects using synthetic data generation, model-supported methods, and human-in-the-loop approaches. The role requires analyzing data, building tools for data analysis and creation, and collaborating with cross-functional teams to evaluate AI model performance. | Data | 7 |
| Software Development Engineer, Amazon Quick Suite Software Development Engineer for AWS Quick RAG team, focusing on building and optimizing scalable ingestion pipelines for multi-modal content (PDF, audio, video, tables) using computer vision and machine learning to power intelligent document processing and search capabilities within Amazon Quick Suite. The role involves system optimization, collaboration with applied scientists, and integration of retrieval models, impacting customer experience. | AgentData | 7 |
| Software Development Engineer, Amazon Quick Suite Software Development Engineer role focused on building and optimizing retrieval-augmented generation (RAG) systems for intelligent document processing and search within Amazon Quick Suite. The role involves designing scalable ingestion pipelines for multi-modal content, optimizing system performance, and collaborating on feature delivery, leveraging AWS technologies. | AgentData | 7 |
| Principal Specialist SA, AI Security, AWS WWSO Security Services This role focuses on AI security within AWS, guiding enterprise customers on secure AI architectures, including Bedrock guardrails, agentic identity and access, and AI governance. The specialist will help customers deploy and operationalize AWS AI-powered security services, design security architectures for generative AI and agentic workloads, and develop the AI security practice across the AWS field community. Responsibilities include creating training, enablement content, reference architectures, and collaborating with service teams and partners to address complex AI security challenges. | Agent | 7 |
| Applied Scientist, Full-funnel Agentic Intelligence and Models Applied Scientist role focused on developing core models for Full-funnel Agentic Intelligence and Models within Amazon Advertising. The role involves understanding shopping journeys across ad products and publishers, and partnering with engineers and product managers to productize the work. Requires experience in building models for business applications and a strong publication or patent record. | Post-train | 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 scalable services, developing APIs for agent access to internal resources, and creating systems for measuring agent quality and improvement. | Agent | 7 |
| Senior Manager, Applied Science, Prime Video - Content Generation Team Senior Manager role focused on leading applied science teams in developing state-of-the-art generative AI, graphics, audio, and computer vision research for Prime Video's content generation. The role involves creating research roadmaps, recruiting and developing talent, and applying ML/NLP/IR knowledge to business applications. Requires significant experience in applied research, management, and building ML models. | Ship | 7 |
| FinOps QC Program Manager, Healthcare This role focuses on designing and implementing AI-driven automation solutions for quality control in accounts receivable operations. It involves leveraging machine learning tools for audit efficiency, developing defect reduction programs, building anomaly detection systems, and creating predictive models. The role also encompasses program management for these initiatives. | AgentData | 7 |
| Data Engineer II, AAE Data Engineer II, AAE at Amazon AWS AI Services. This role focuses on building data platforms and intelligence infrastructure for AI services, including agentic AI. Responsibilities include designing and building end-to-end data platforms, ETL/ELT pipelines, agentic data workflows for automated reporting and insights, and executive dashboards. The role emphasizes data accuracy for revenue and financial reporting, and collaboration with various teams. It operates at the intersection of data engineering and agentic AI, supporting S-Team level visibility into AI revenue, adoption, and growth. | DataAgent | 7 |
| Sr. Developer Experience Engineer, Kiro This role focuses on developer experience for an agentic AI system called Kiro, which helps developers build software. The engineer will work with customers to triage issues, provide specialist assistance, define features, and partner with engineering teams. They will also build tools and agents to automate workflows and support new launches through testing and QA. The role requires experience with agentic AI patterns and a strong understanding of ML fundamentals and Generative AI. | Agent | 7 |
| Senior Software Engineer - AI/ML, AWS Neuron Inference Senior Software Engineer focused on optimizing LLM inference performance on AWS Neuron accelerators, working on core building blocks like Attention, MLP, Quantization, and Speculative Decoding. Collaborates with chip architects and compiler engineers to extract maximum performance and accuracy. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale systems for AWS AI services, focusing on ML and LLM technologies, Generative AI, and RAG. | Data | 7 |
| Software Development Engineer, Amazon Seller Assistant Software Development Engineer to build the next generation of Amazon Seller Assistant, a GenAI-first, multi-agent system that reimagines seller experience by providing a proactive, autonomous assistant. The role involves owning problem spaces end-to-end, from customer insight to shipped product at Amazon's scale. | Agent | 7 |
| Software Development Engineer, Ring Software Development Engineer role at Amazon Ring focused on defining, building, and supporting system design, architecture, and software for IoT products, with a specific emphasis on developing GenAI platforms & agents and understanding ML model architecture and inference. | Agent | 7 |
| Applied Scientist III, Sponsored Products Marketplace Intelligence The Sponsored Products and Brands team at Amazon Ads is seeking an Applied Scientist to build production ML and bandit solutions for customizing the search experience. This role involves determining ad placement, quantity, and targeting on Amazon search pages using machine learning, causal inference, and optimization techniques. The scientist will focus on improving the Sponsored Products experience by understanding shopper pain points and developing innovative solutions, with a mandate to experiment and innovate to grow Sponsored Products using LLMs/GenAI for ranking and allocation. The role requires designing and running experiments, analyzing large datasets, and developing real-time ML algorithms for ad auctions and multi-objective optimization. | ShipAgent | 7 |
| Software Development Manager, Amazon Quick Software Development Manager for a new generative AI-powered assistant initiative within Amazon Quick, focusing on enterprise systems. The role involves leading a team to define, build, and ship AI solutions that enhance user productivity and creativity. | Ship | 7 |
| Software Development Engineer, Ads Campaign Management Software Development Engineer role focused on building AI-powered solutions for Amazon Advertising. The role involves designing and implementing scalable architectures for APIs, building infrastructure for AI agent-data interaction (Model Context Protocol), and inventing new techniques for agent orchestration and context optimization. The team uses generative AI and agentic systems to provide strategic advice to advertisers, with a focus on low latency and minimal token consumption. The role also involves creating feedback loops for continuous improvement. | Agent | 7 |
| Principal Technical Program Manager, DC Power Utilization Management The Principal Technical Program Manager will lead data science and software initiatives within the DC power utilization management organization at AWS Infrastructure Services. This role focuses on driving high utilization in data centers through data science and machine learning, managing complex projects, and collaborating with various engineering teams to achieve capex efficiency and maintain high availability. | DataPost-train | 7 |
| Design Technologist, Agentic AI & Marketing Automation This role focuses on designing and implementing agentic AI workflows for marketing automation, bridging UX design and technical delivery. The Design Technologist will prototype AI-driven automation experiences, build integrations between systems, and serve as a technical and UX bridge between marketing stakeholders and AI engineering teams. Responsibilities include hands-on technical execution, creating reusable prototyping frameworks, and developing reference implementations for AI-powered solutions. | Agent | 7 |
