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, Post Silicon Validation Software Development Engineer focused on validating next-generation machine learning accelerators for AWS, covering the full vertical stack from silicon to system-level ML workloads. This role involves hardware bring-up, debug, performance, and reliability testing in a fast-paced, cloud infrastructure environment. | Serve | 7 |
| 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. | Agent | 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 |
| Delivery Consultant , AWS Professional Services Full-stack software engineer role focused on building end-to-end applications powered by Generative AI and AI agents using AWS services. The role involves designing, developing, and delivering cloud-native applications, with a strong emphasis on leveraging AI-assisted development tools and agentic workflows. | AgentServe | 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 |
| Software Development Engineer, Developer Experience Software Development Engineer role focused on building foundational tooling for an internal AI platform at Amazon Ads. The role involves designing and developing scalable software systems for the full AI development lifecycle, including servers, skills, knowledge bases, and agents. It emphasizes enabling internal teams to build, deploy, and scale AI solutions from prototyping to production, with a focus on developer experience and platform infrastructure. | ServeAgent | 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 generative AI/ML for supply chain optimization, building intelligent infrastructure and enterprise-grade applications on AWS. | 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 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 |
| Software Development Engineer II, Q Business Software Development Engineer II on the Amazon Quick team, focusing on designing, developing, and optimizing core components of an AI-powered assistant for enterprise productivity. The role involves building an agentic AI system that leverages generative AI to answer questions, summarize content, generate text, and complete tasks using enterprise data. | Agent | 7 |
| Software Development Engineer, Amazon Advertising, Ads Sales Assistant Software Development Engineer role focused on building generative AI applications and agents for Amazon Advertising's sales teams. The role involves developing customer-facing UX, workflows, and web services, turning large datasets into actionable products. Requires experience with scalable production gen AI applications and addressing challenges like accuracy and hallucinations. | Agent | 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 |
| SDE II, ML Infra Services, Annapurna Labs Software Engineer to lead the development of machine learning tools for AWS Neuron accelerators, focusing on running, optimizing, and analyzing ML workloads. Requires experience in profiling, optimization, resource management, scheduling, code generation, and working with new instruction set architectures for AI accelerators. | Serve | 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 |
| Manager, Applied Science, Amazon Phamarcy Manager, Applied Science for Amazon Pharmacy's Supply Chain technology team in Bangalore. This role involves building and leading a team to architect ML-driven supply chain systems from scratch, focusing on demand forecasting, procurement, inventory placement, and resource planning. The position requires strong leadership in applied science and operations research, with a focus on productionizing ML models and managing the full system lifecycle. | AgentData | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain technology, including demand forecasting, procurement, and placement systems. The role involves designing and developing scalable, resilient services, owning systems end-to-end, and leveraging AI tools for development acceleration. It operates within a regulated healthcare environment with unique supply chain constraints. | Agent | 7 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation at Amazon's scale. The role involves research and implementation of deep learning and LLMs for robotic dexterous manipulation, locomotion, and human-robot interaction, bridging theoretical advancements with practical applications. | ShipAgent | 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 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 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 |
| 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 |
| 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 AI/ML Consultant, AWS Professional Services Senior AI/ML Consultant for AWS Professional Services, focusing on developing and deploying ML and Generative AI solutions for enterprise customers. This role involves understanding customer business challenges, designing and building solutions using AWS ML services, collaborating with engineering teams, and providing technical sales support and training. | AgentServe | 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 |
| Sr. Manager - Pay on Delivery Sr. Manager, Product Management - Technical to lead a multi-disciplinary team in transforming Pay on Delivery into a sustainable instrument by defining and executing product strategy, leading Generative AI-powered customer behavior shaping algorithms, and owning the technical bar for systems that ingest, enrich, and organize product data. | Agent | 7 |