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 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| Senior AI/ML Solution Architect, ANZ Public Sector Senior AI/ML Solution Architect for AWS Public Sector in ANZ, focusing on driving AI/ML adoption and modernization for government and education customers. The role involves deep technical engagement across agentic AI, traditional AI/ML, and MLOps, partnering with sales specialists to achieve technical and sales outcomes. | 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 |
| 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, 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 |
| 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 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 |
| Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development from weeks to hours using GenAI. | 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 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 |