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 1110 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 II, Amazon Shopping Personalization Research Scientist role focused on developing and launching AI solutions for Amazon's personalization and recommendation systems, utilizing large datasets and computational resources. The role involves adopting or inventing new ML techniques, including LLMs and RL, and publishing research findings. | ShipPost-train | 7 |
| Senior Software Developer Engineer, AWS Compliance & Security Assurance Senior Software Engineer role focused on building agentic AI solutions to automate and scale AWS compliance and security audit workflows. The role involves designing, implementing, and owning internal services that leverage Generative AI to enhance security and compliance capabilities. |
| 7 |
| Applied Scientist II, FinAuto Applied Scientist II role focused on building and deploying machine learning models for financial fraud, theft, abuse, and waste detection within Amazon's financial systems. The role involves research, development, and implementation of ML solutions, with a strong emphasis on productionizing these models and mentoring others. | Agent | 7 |
| Applied Scientist , Rufus Experience Science This role focuses on building next-generation conversational shopping experiences by developing and deploying data-driven solutions and models. It involves executing a science vision, collaborating cross-functionally, and leveraging Amazon's data and computational resources. | Ship | 7 |
| Software Development Engineer Test, Alexa Global quality The Software Development Engineer Test role on the Alexa Global Quality team focuses on building AI-powered automation tooling for evaluating Alexa's multilingual, conversational, and multimodal experiences across various device surfaces. This involves creating scalable testing frameworks, developing agentic automation for synthetic test generation and LLM-as-a-Judge evaluations, and ensuring cultural and linguistic relevance. | AgentEval Gate | 7 |
| Software Development Engineer Test, Alexa Global quality Software Development Engineer in Test focused on quality assurance automation and framework creation for Alexa's global, multilingual, and multimodal experiences. The role involves building agentic automation tooling for end-to-end quality evaluation, including synthetic test generation, LLM-as-a-Judge, and visual/cultural validation using ML. | Eval GateAgent | 7 |
| Business Intelligence Engineer, AHS Finance This role focuses on leveraging generative AI, LLMs, and ML to build intelligent analytics solutions for a finance team, replacing traditional reporting with AI-driven automation and insights. The engineer will build AI-powered tools, GenAI products, and AI agents for stakeholder self-service, aiming to transform data interaction and reporting workflows. | Agent | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | Ship | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | Ship | 7 |
| Software Engineer II, SCOT - Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform supply chain operations and build intelligent infrastructure. The role involves designing and deploying AI systems, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Software Engineer II, SCOT-Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents and Gen AI/ML technologies to transform Amazon's supply chain operations. The role involves designing and deploying AI systems/agents, collaborating with product managers and engineers, and contributing to the full software development lifecycle. | Agent | 7 |
| Data Scientist II, Middle Mile Transportation Science team Data Scientist II on the NASC & TOM Science team at Amazon, focusing on Operations Research, Machine Learning, and AI for middle mile transportation planning. The role involves designing, building, and shipping ML and optimization models end-to-end, from problem framing to deployment and integration with planning tools. Key responsibilities include developing forecasting and optimization solutions, building validation and monitoring pipelines, and partnering with engineering teams for productionization. | ShipData | 7 |
| Software Development Engineer, Item Identity Services (IIS) Software Development Engineer to help architect, build, and ship an AI-native matching platform that replaces legacy rule-based and classical ML matching algorithms with LLM-powered AI systems. The role involves serving LLM-based inference over petabyte-scale product data with sub-millisecond latency requirements, handling millions of requests per second, and solving novel computer science problems at the intersection of LLMs, retrieval, distributed systems, and large-scale data processing. | ServeAgent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences customers, with a significant emphasis on AI/ML and Generative AI solutions. The Solutions Architect will build prototypes, proofs of concept, and demonstration assets, educate customers on AWS capabilities, and translate emerging AI/ML technologies into actionable guidance and reference architectures. The role requires a strong understanding of cloud computing, data & AI technologies, and the ability to articulate technical value to various stakeholders. | Agent | 7 |
| Manager, Security Engineering, AWS Security Incident Response Manager for AWS Security Incident Response team, leading a transformation towards AI-native operations. The role involves managing security engineers, engaging with customer executives, and driving automation by leveraging AI investigation agents and feedback loops. The team aims to autonomously resolve routine investigations, allowing human analysts to focus on complex threats. | AgentData | 7 |
| Applied Scientist, AWS Neuron Science team Applied Scientist role focused on enhancing the AWS Neuron software stack for Trainium and Inferentia accelerators. The role involves working with customers to identify adoption barriers, collaborating with engineering teams on solutions, and engaging with research communities to advance ML systems. Key areas include AI for Systems (kernel/code generation, optimization), Machine Learning Compiler, System Robustness, and Efficient Kernel Development. | ServeData | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Senior Software Engineer role focused on building and optimizing the AWS Neuron compiler for AWS Inferentia and Trainium chips. The role involves transforming ML models (PyTorch, TensorFlow, JAX) into optimized implementations for deep learning workloads, with a focus on large language models and vision transformers. Responsibilities include compiler optimization, working with chip architects, and contributing to open-source communities. | Serve | 7 |
| Software Development Manager, Amazon Pharmacy, Amazon Phamarcy Seeking a founding engineering leader to build and manage a Supply Chain technology team at Amazon Pharmacy in Bangalore. The role involves architecting ML-driven supply chain systems from scratch, covering demand forecasting, procurement, inventory placement, and capacity planning. This is a greenfield opportunity to leverage cloud-native infrastructure and operations research best practices at Amazon scale, with a focus on AI-native development and integrating ML models into production systems. | DataServe | 7 |
| Automation & AI Integration PM, Prime Video This role focuses on defining and driving large-scale AI-driven initiatives within Prime Video's Content Acquisition & Prime Video Direct teams, with a strong focus on workflow automation, SOP generation, content quality, and acquisition. The candidate will develop and execute strategies leveraging AI technologies, agents, workflow automation tools, and prompt engineering techniques to build tools that accelerate and automate internal and external processes. | Agent | 7 |
| Software Development Manager, RBS - Tech, RBS Manage a team of engineers building ML and generative AI systems for Amazon's retail operations, focusing on automation and scalable platforms. | Ship | 7 |
| Applied Scientist II - P13N, Shopping Intent Applied Scientist II at Amazon's Personalization team, focusing on building the next-generation product recommendation engine for Amazon using LLM, Machine Learning, NLP, and Computer Vision. The role involves using big data and analytical techniques to create scalable solutions, designing and evaluating innovative models, and working closely with software engineers to drive model implementations and new feature creations. The scientist will also research and implement novel ML/statistical approaches and mentor junior scientists. | Ship | 7 |
| Sr. Software Development Engineer, Workshop Studio Senior Software Development Engineer to build AI-powered capabilities on Amazon Bedrock AgentCore, focusing on agentic systems for content discovery, participant guidance, and automated quality review within the Workshop Studio platform. | Agent | 7 |
| 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. | 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 |
| 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 |
| 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 |
| 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 |
| Senior Product Manager, GFS PPT Senior Product Manager to lead the vision, strategy, and delivery of AI-powered capacity planning solutions across Amazon's Last Mile and Customer Fulfillment networks. This role owns flagship initiatives deploying AI agents for autonomous planning, with human oversight for judgment and exceptions. Responsibilities include defining the product roadmap, orchestrating cross-functional teams, driving phased delivery, establishing governance for agentic systems, and owning success metrics related to efficiency and cost savings. | Agent | 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 |
| Software Development Engineer, Rufus Software Development Engineer to build and improve a generative AI-powered shopping assistant for millions of Amazon customers. The role involves full vertical end-to-end ownership of features, working with product and design teams, and contributing to architecture and design. | Ship | 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 |
| Principal Software Engineer, RBS - Tech Principal Software Engineer to lead the development of ML/GenAI-driven Agentic core platforms for automating manual business tasks within Amazon's e-commerce operations. The role involves defining and building scalable platforms that enable self-service, low-code/no-code automation, integrating with existing tools, and ensuring high quality for resilience, latency, accuracy, and efficiency. The engineer will provide technical leadership, architect solutions, and mentor other engineers. | 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 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models for logistics operations, aiming to enhance route planning, scheduling, and delivery execution. The analyst will leverage advanced SQL, Python/R, and AI technologies to create intelligent dashboards, predictive models, and automated reporting systems, working at the intersection of operations, analytics, and automation to drive efficiency and scale across the network. | Agent | 7 |
| Software Development Engineer, Advertising Software Engineer role focused on optimizing ad matching for Amazon's programmatic advertisement products. This involves working with machine learning models at high scale and low latency, applying MLOps and Software Engineering best practices to process large datasets, and integrating experimental results into production systems. The role emphasizes designing, testing, and delivering breakthroughs for Amazon's business, impacting multi-billion dollar businesses. | Ship | 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 |
| 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 |
| Principal AI Product Manager - Technical, Amazon Customer Service Experienced Technical Product Manager to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining strategic vision, driving execution, and collaborating with cross-functional teams on Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 7 |
| System Engineer (Generative AI - Salesforce Tech), COE Tech AI Engineer L4 role focused on designing, developing, and implementing scalable AI/GenAI solutions, integrating LLM capabilities into enterprise workflows, and building integrations between AI platforms, AWS, and Salesforce. The role involves working with prompt engineering, embeddings, vector databases, and orchestration frameworks, with a focus on cloud-native solutions on AWS. | Agent | 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 |