Currently tracking 1109 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 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 |
|---|---|---|
| Machine Learning Engineer II, Sponsored Products Search Sourcing, Amazon Advertising Machine Learning Engineer II at Amazon Advertising focused on building and optimizing ML systems for Sponsored Products and Brands search, handling billions of requests with low latency. The role involves developing scalable offline pipelines and online serving components, working with deep learning, NLP, and LLM training, and mentoring junior engineers. | ServePost-train | 7 |
| Sr. ASIC Engineer III, Annapurna Labs The Sr. ASIC Engineer III role at Amazon's Annapurna Labs focuses on the design and optimization of custom silicon (ASICs) and software that accelerate machine learning inference in AWS data centers, specifically for hardware like AWS Inferentia. This role is critical for enabling large-scale AI/ML workloads. |
| 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role 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, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role 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, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Sr. Software Development Engineer, Amazon Quick Senior Software Development Engineer role 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, with a focus on inference and serving infrastructure for AI services. | Serve | 7 |
| Software Engineer II, Quick, Amazon Quick Software Development Engineer II role at Amazon, focusing on building AWS AI services that leverage 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 on strategy and roadmap, and driving system architecture. It emphasizes working with new ML technologies on a high-visibility product. | Serve | 7 |
| Software Engineer II, Quick, Amazon Quick Software Development Engineer II role at Amazon, focusing on building AWS AI services that leverage 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 on strategy and roadmap, and driving system architecture. It emphasizes working with new ML technologies on a high-visibility product. | Serve | 7 |
| Software Engineer II, Quick, Amazon Quick Software Development Engineer II role at Amazon, focusing on building AWS AI services that leverage 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 on strategy and roadmap, and driving system architecture. It emphasizes working with new ML technologies on a high-visibility product. | Serve | 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 partners, integrating AI-driven automation, multi-cloud architectures, and LLM/agentic AI workflows. The engineer will design system architecture, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on enterprise workloads. | Agent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 7 |
| Machine Learning Engineer, AWS Applied AI Solution Machine Learning Engineer at AWS Applied AI Solutions focused on building and deploying agentic AI products. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for ML development and serving. | AgentServe | 7 |
| Senior Applied Scientist, Air Science & Tech Senior Applied Scientist role at Amazon Air Science & Tech focused on solving complex airline operations problems using machine learning. The role involves building end-to-end data pipelines, production code, and ML models to optimize operations and reduce costs. Requires experience in ML model building, deep learning, and programming languages, with a focus on business applications and decision support tools. | Ship | 7 |
| Applied Scientist II - AMZ9890756 Applied Scientist II role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML/NL applications. The role involves applying statistical modeling, optimization, and ML techniques, researching new approaches, and mentoring junior scientists. Requires a Master's degree and experience in ML model development and deployment. | ServePost-train | 7 |
| AI Platform Data Engineer, Ring Decision Science, Ring Decision Science The AI Platform Data Engineer will focus on developing Platforms and Agentic AI solutions, leveraging AI at every layer of the data stack. This role involves building and maintaining data pipelines, curated datasets for AI/ML, and AI-native self-service data platforms using an AI-first development methodology. The engineer will use AI to build AI infrastructure, automate processes, and create self-improving systems. | ServeAgent | 7 |
| AI/ML Specialist Solutions Architect, Telecom, AGS US Specialist SA, TMEGS AWS Solutions Architect focused on Generative AI and Machine Learning for telecom customers. The role involves designing customer solutions using AWS GenAI services (Bedrock, SageMaker, Q), enabling large-scale use cases, and driving adoption. It requires deep technical expertise in AI/ML, understanding customer needs, and acting as a liaison between customers and AWS service teams. | Agent | 7 |
| Security Engineering Manager, Security Analytics and AI Research Security Engineering Manager for AWS Security Analytics and AI Research group, focusing on developing and leading a team to build core detection and machine learning algorithms for services like AWS GuardDuty. The role involves collaborating with scientists and engineers to improve threat detection across various data domains and advancing detection coverage using frameworks like MITRE ATT&CK. | AgentData | 7 |
| Applied Scientist II This role focuses on developing advanced robotics systems by advancing physics-based simulation, sim-to-real transfer, and machine learning approaches. The primary goal is to create adaptable automation solutions for complex environments, with a secondary focus on data engineering for simulation. | ShipData | 7 |
| Security Engineer II, Threat Detection Security Engineer role focused on developing advanced threat detection capabilities using machine learning and generative AI. The role involves researching emerging threats, building high-confidence detections, and automating processes to identify and mitigate malicious activity at scale within Amazon's network. | Agent | 7 |
| Senior Software Engineer, Annapurna Labs Senior Software Engineer to lead the development of machine learning tools for AWS Inferentia and Trainium ML accelerators. The role involves designing, developing, and operating a next-generation AI workload orchestration platform on Kubernetes, enabling scalable job scheduling, distributed training, and artifact management. Responsibilities include architectural decisions across the full stack, collaboration with ML researchers and hardware teams, mentoring engineers, and improving developer velocity. The focus is on optimizing hardware utilization and enabling large-scale training and inference jobs on custom AI silicon. | ServeAgent | 7 |
| Software Development Engineer II, AWS Invoicing Software Development Engineer II role at AWS Invoicing focused on building generative AI-powered platforms for global expansion. The role involves designing and building agentic AI systems, LLM pipelines, and orchestration for market launches, aiming to automate and accelerate the AWS expansion process. | Agent | 7 |
| Manager, Applied Science, International Seller Services Manager for Applied Science team focused on International Seller Services at Amazon, leveraging generative AI, computer vision, and LLMs to solve e-commerce challenges and drive growth. The role involves leading end-to-end projects, providing technical direction, recruiting scientists, and launching AI models into production. | Ship | 7 |
| Senior Research Engineer, AWS Agentic AI Senior Research Engineer on the AWS Agentic AI team, focused on building a new Generative AI application (QuickSuite) for enterprises. The role involves defining, designing, and leading the development of tools to accelerate science experimentation, including scalable experiment frameworks, low-latency testing pipelines, and data collection/evaluation tools. It also bridges the gap between science and production, expediting the science-to-production paradigm. | AgentServe | 7 |
| Sr. PM-T, GenAI Experimentation, Selling Partner Communities (SPC) Senior Product Manager, Technical (PM-T) role focused on applying generative AI to reimagine community experiences for Amazon's Selling Partners. The role involves rapid experimentation, defining product strategy, and shipping AI-powered features for both seller-facing and internal tools, including intelligent moderation and insight generation. It requires assessing agentic AI capabilities and owning the end-to-end product lifecycle. | Agent | 7 |
| Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community The ARI-SciCom Engineering team builds and operates the software platform that powers scientific publishing and research collaboration across Amazon. The role involves leading a team of software development engineers to own the technical vision and execution for a portfolio of tools that directly enable scientific discovery and collaboration at Amazon scale, with a focus on AI-powered tools for reviewing and a comprehensive directory of scientists. | AgentServe | 7 |
| Applied Science Manager, Prime Video Personalization & Discovery Manager for a Prime Video personalization and recommendation science team, focusing on developing and launching AI solutions using deep learning, GenAI, and RL for customer experience. | Ship | 7 |
| Senior Data Scientist, Special Projects Senior Data Scientist role focused on applying machine learning and advanced analytics to develop innovative consumer products. Responsibilities include working with complex datasets, designing experiments, benchmarking models, applying MLOps practices, and delivering end-to-end analyses. Requires strong statistical and programming skills, with experience in ML and building automated analytical systems. | Ship | 7 |
| Applied Scientist II, Amazon - Vertical Ads Applied Scientist II role focused on building and deploying machine learning models for Amazon's Vertical Ads products, leveraging computer vision, NLP, and deep learning to enhance ad effectiveness and customer experience. | Ship | 7 |
| Senior Applied Scientist - SLAM and Perception, Amazon Robotics Senior Applied Scientist role focused on SLAM and Perception for Amazon's autonomous warehouse robots. The role involves researching, designing, and implementing scientific approaches for sensor calibration, SLAM, and optimizing runtime performance. It requires delivering production-level code and supporting systems in production, with a focus on large-scale deployment and analysis frameworks for sensor data. The position also involves collaboration with various engineering and operations teams. | ShipServe | 7 |
| Sr. Software Development Engineer, Defensive Security Senior Software Development Engineer for Amazon Defensive Security to architect and build an AI-first product from scratch. The role involves identifying opportunities to apply ML and generative AI to security workflows, making technical trade-offs, influencing the product roadmap, and setting engineering standards. It requires end-to-end delivery ownership and leadership in a greenfield environment. | 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 |
| 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 |
| 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 |
| 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, 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 |
