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 16% 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, AWS Neuron Science Team Applied Scientist role focused on enhancing AWS software stack for Trainium and Inferentia accelerators, involving ML/RL for kernel/code generation, ML compiler techniques, system robustness, and efficient kernel development. Collaborates with customers and engineering teams to optimize ML systems and adoption. | ServePost-train | 8 |
| Applied Science Manager III, RBKS AI Manager for an Applied Science team focused on innovating AI features for Ring and Blink cameras, combining computer vision and generative AI for home security. The role involves leading the team in developing and productizing advanced CV and GenAI models, driving technical strategy for privacy-preserving solutions, and ensuring delivery of high-quality science artifacts for customer-facing products. |
| ShipPost-train |
| 8 |
| Software Development Engineer, AI/ML, AWS Neuron, Model Inference Software Development Engineer focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium), working across the stack from frameworks like PyTorch/JAX to hardware-specific optimizations and kernel development. | Serve | 8 |
| Sr. Manager, Applied Science, Sponsored Products and Brands Senior Manager role leading a team of Applied Scientists and Engineers to develop and deploy generative AI solutions for Amazon's Sponsored Products and Brands advertising platform, focusing on multi-lingual and multi-modal applications to drive growth in non-US markets. | Ship | 8 |
| SDE- ML Engineer, Frontier AI Robotics Machine Learning Systems Engineer for Frontier AI Robotics team, focusing on building and optimizing distributed training infrastructure for large-scale deep learning and transformer models. Role involves engineering scalable, high-performance systems for AI research and applications, with a focus on robotics, multimodal perception, and manipulation strategies. Requires strong software development, ML infrastructure, and deep learning framework expertise. | Data | 8 |
| Senior Applied Science Manager, Amazon Sponsored Products & Brands Lead a team to invent and build the SPB-Agent, a GenAI platform transforming retail-media advertising for Amazon advertisers. This agent will act as an intelligent advisor integrated into Amazon Ad Console and Seller/Vendor portals, using conversational interfaces and deep reasoning to help advertisers discover growth opportunities, optimize campaigns, and execute strategies at scale. | Agent | 8 |
| Applied Scientist III, RBKS AI The RBKS AI team at Amazon is seeking Applied Scientists to innovate AI features for Ring and Blink cameras, focusing on the intersection of computer vision, generative AI, and ambient intelligence. The role involves productizing research into advanced computer vision and multimodal GenAI models for video understanding, object detection, and real-time applications, with an emphasis on privacy-preserving, efficient fine-tuning, and on-device/in-cloud inference. The goal is to ship AI solutions that enhance home security for millions of customers. | ShipPost-train | 8 |
| Senior Applied Scientist , RBS Tech This role focuses on designing and deploying GenAI, NLP, and Computer Vision solutions to enhance customer experience and automate operations within Amazon's retail business. It involves developing novel ML models for task automation, text and image processing, and anomaly detection, with a strong emphasis on multi-modal LLM agents and retrieval systems. | AgentPost-train | 8 |
| Senior Applied Scientist, Translation Services Senior Applied Scientist role focused on applying advanced NLP and LLM techniques to improve machine translation quality and pipeline efficiency for Amazon's e-commerce platform. The role involves architecting and implementing scalable ML solutions, driving data analysis, and pioneering modeling techniques for translation quality assessment and optimization. The scientist will also serve as an expert in LLM applications for translation and mentor team members. | Post-train | 8 |
| Sr. Software Engineer- AI/ML, AWS Neuron Apps Senior Software Engineer role focused on optimizing and deploying large AI models (LLMs, vision generative AI) on AWS's custom AI accelerators (Inferentia, Trainium). The role involves architecting distributed inference solutions, optimizing performance from high-level frameworks to hardware implementations, and developing tools for LLM accuracy and efficiency. It bridges ML frameworks (PyTorch, JAX) with AI hardware, focusing on inference performance and scaling. | Serve | 8 |
| Sr. Applied Scientist, SSG Science This role focuses on optimizing and fine-tuning Generative AI models for edge platforms, working closely with custom ML hardware. The scientist will train custom models, analyze deep learning workloads, and collaborate with cross-functional teams to build ML-centric solutions for consumer devices. The role also involves publishing research and presenting at ML conferences. | Post-trainServe | 8 |
| Applied Scientist II, Strategic Account Services (SAS) Applied Scientist II role focused on developing and deploying sophisticated AI solutions for Amazon's Strategic Account Services (SAS) organization, leveraging deep learning, LLMs, and advanced ML techniques to improve seller operations and internal consultancy. The role involves end-to-end development from research to production, including architecting recommendation and optimization systems, pioneering applications of foundation models, and conducting rigorous A/B experiments. | ShipServe | 8 |
| Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands This role leads the development of generative AI applications for advertisers, focusing on agentic experiences for recommendations and guidance. It involves fine-tuning, reinforcement learning, and preference optimization, with a strong emphasis on creating customer-facing products and mentoring AI talent. | AgentPost-train | 8 |
| Software Engineer- AI/ML, AWS Neuron Software Engineer role focused on building and tuning distributed training solutions for AWS Inferentia and Trainium accelerators, specifically for large language models and other ML model families. The role involves working with PyTorch, Jax, XLA, and the Neuron compiler/runtime to maximize performance and efficiency on AWS Trainium. | PretrainServe | 8 |
| Sr. SDE- ML Data Infrastructure, Frontier AI Robotics Senior Software Development Engineer focused on ML Data Infrastructure for Frontier AI Robotics at Amazon. The role involves building and maintaining scalable data infrastructure, designing dataset management systems, developing visualization tools, and implementing advanced data filtering techniques to support cutting-edge AI robotics research. Collaboration with science teams is key, requiring both infrastructure development and hands-on technical contribution to data preparation. | Data | 8 |
| Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Senior Software Development Engineer role focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium) through the Neuron SDK. The role involves system-level optimizations, performance tuning for latency and throughput, building infrastructure for model onboarding, and collaborating across hardware, software, and framework teams to ensure optimal performance for customers running large language models and other GenAI workloads. | Serve | 8 |
| Software Development Engineer AI/ML, Inference Serving, AWS Neuron Software Development Engineer to lead and architect next-generation model serving infrastructure for generative AI applications on AWS Inferentia and Trainium accelerators, focusing on performance, reliability, and scalability of inference serving systems. | Serve | 8 |
| Senior Applied Scientist, Last Mile Delivery Automation Senior Applied Scientist role focused on developing and deploying machine learning models for Amazon's autonomous delivery systems, specifically in perception, prediction, and decision-making for autonomous vehicles. The role involves designing algorithms, leading research, transforming concepts into production, creating evaluation frameworks, and collaborating with engineering teams. | AgentServe | 8 |
| Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs The Annapurna Labs team at AWS is seeking an Engineering Manager to lead a team focused on optimizing ML kernel performance for AWS Neuron, their custom ML accelerators (Inferentia and Trainium). The role involves designing and implementing high-performance kernels, optimizing compiler and runtime performance, and working closely with customers to enable their ML models. This position operates at the hardware-software boundary, combining deep hardware knowledge with ML expertise to accelerate deep learning and GenAI workloads. | Serve | 8 |
| Software Development Engineer, AI/ML, AWS Neuron, Model Inference Software Development Engineer focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium), working across the stack from frameworks like PyTorch/JAX to hardware-specific optimizations and kernel development. | Serve | 8 |
| Sr. SDE, Simulation, Frontier AI Robotics Seeking a Simulation Engineer to join an AI robotics research team, focusing on developing 3D physics-based simulation frameworks and tools to enable large-scale machine learning model training for robotics. The role involves developing simulations for reinforcement learning, closed-loop simulations, synthetic data generation, implementing robotics features, building real-to-sim workflows, and collaborating with ML researchers. | DataPost-train | 8 |
| Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies Senior Software Development Engineer to lead the design and implementation of generative AI applications for data center design automation, integrating BIM platforms and AWS services. The role involves productionizing ML models, mentoring junior engineers, and building scalable systems in a greenfield opportunity. | Agent | 7 |
| SDE II, ML Infra Services, Annapurna Labs Software Engineer to lead the development of machine learning tools to run, optimize, and analyze machine learning workloads on AWS Neuron ML accelerators. Focus on ML infrastructure platform, capacity management, workload scheduling, and fleet orchestration. | Serve | 7 |
| Senior Delivery Consultant - Data, Professional Services, AWSI, Healthcare and Life Sciences This role focuses on designing and implementing modern data platforms, pipelines, and RAG architectures for AI and agentic systems within the Healthcare and Life Sciences industry. The consultant will work with complex data, regulatory requirements, and legacy systems to deliver production-grade data products that support ML model training and agent orchestration. | DataAgent | 7 |
| Applied Scientist, TSI Science The role focuses on building and deploying end-to-end machine learning solutions to prevent eCommerce fraud, leveraging GenAI/LLM/VLM technology for risk evaluation and automated operations. It involves analyzing large datasets, developing and validating models, and impacting business profitability. | Agent | 7 |
| Sr. Delivery Consultant - AI/ML, WWPS ProServe Senior Delivery Consultant for AI/ML within AWS Professional Services, focusing on designing, implementing, and scaling Generative AI solutions for enterprise customers. The role involves working directly with clients to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. Requires a Top Secret security clearance. | ShipPost-train | 7 |
| Delivery Consultant- AI/ML, WWPS ProServe Delivery Team This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and provide technical guidance throughout the project lifecycle. | Post-trainAgent | 7 |
| Director, Engineering Redshift, Analytics Engines Director of Engineering for Amazon Redshift's core query processing engine, focusing on SQL analytics for humans and AI agents at massive scale. The role involves defining technical strategy, leading a global team, and driving innovation in areas like AI-driven scaling, serverless processing, and natural-language analytics integration. | AgentServe | 7 |
| Software Development Engineer II, Selling Partner Trust & Compliance Software Development Engineer II on the Selling Partner Trust team at Amazon, building systems and AI-powered experiences to make selling on Amazon clearer, fairer, and more trustworthy. The role involves leveraging foundation models, building harnesses and pipelines for seller issue resolution, and working on GenAI-powered seller experiences at scale, including retrieval, output evaluation, and safety guardrails. | Agent | 7 |
| Sr Data Scientist, Amazon - Vertical Ads Seeking an experienced Sr Data Scientist to drive innovation in Amazon's Ads Foundational Model. This role involves developing and deploying ML models using computer vision, NLP, and deep learning to enhance ad effectiveness and customer experience, leveraging Amazon's data to create predictive models and actionable recommendations for advertising solutions. | Ship | 7 |
| Sr. Software Development Engineer, Guidance & Personalization Senior Software Development Engineer role focused on building AI-native systems for advertising personalization and guidance. The role emphasizes explainable AI, multi-agent coordination, and real-time ML inference within a large-scale distributed systems context, integrating LLM-powered agents into production workflows. | AgentServe | 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 customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Senior Security Engineer, AI Security Senior Security Engineer focused on designing and implementing security controls for Amazon's AI/ML services and applications, ensuring they meet high security standards throughout the SDLC. Responsibilities include security reviews, threat modeling, penetration testing, automation development, and influencing stakeholders. | Ship | 7 |
| Software Development Engineer - II, FinTech - Machine Learning Software Development Engineer II role in Amazon's FinTech group, focusing on building and deploying machine learning applications for transaction analysis, fraud detection, and financial process optimization. The role involves working with large datasets, collaborating with scientists and business teams, and utilizing Generative AI and LLMs to drive efficiencies and insights in finance operations. | Ship | 7 |
| Machine Learning Engineer, Neuro-Symbolic AI Labs Machine Learning Engineer responsible for designing the training and data pipeline strategy for ARG's ML efforts. | Data | 7 |
| Applied Scientist II, Amazon Search Applied Scientist II role focused on developing and improving large-scale machine learning systems for Amazon Search, specifically in ranking, reinforcement learning, and LLMs to enhance the customer shopping experience. The role involves building systems that generate content and assemble coherent page experiences, directly impacting millions of customers. | ShipServe | 7 |
| Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. The role involves defining technical vision, advising senior executives, establishing architectural standards, and driving AI-native delivery transformations, including agentic AI systems, governance, and responsible AI practices. | AgentServe | 7 |
| Principal Delivery Consultant – Data, Professional Services, AWSI HCLS This role is for a Principal Delivery Consultant at AWS Professional Services, focusing on Healthcare and Life Sciences (HCLS) transformation programs. The consultant will act as a technical leader, defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. The role involves advising senior customer executives, driving cross-team alignment, and championing responsible AI practices. A key focus is on AI-Native Delivery Transformation, including implementing AI-DLC methodologies and managing multi-agent systems at scale. | AgentServe | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the healthcare and life sciences sector. The goal is to transform raw data into governed, AI-ready assets that support AI/ML model training and agentic AI systems, with a strong emphasis on regulatory compliance. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the healthcare and life sciences sector. The goal is to transform raw data into governed, AI-ready assets that support AI/ML model training and agentic AI systems, with a strong emphasis on regulatory compliance. | DataAgent | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer role focused on building agentic services and applications powered by large language models for Amazon's shopping experience. The role involves architecting, designing, and developing back-end systems, online services, service orchestration patterns, and agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team is working on an AI-first initiative to improve search using foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer to architect, design, and develop agentic services and applications powered by large language models for Amazon Shopping. The role focuses on building expertise in online service architecture, API development, and distributed systems for responsive agentic AI applications at scale, including service orchestration, agent frameworks, and real-time processing. The goal is to establish best practices, enable new agentic AI features, and contribute to the technical roadmap for intelligent agents that reason, plan, and execute complex tasks. | Agent | 7 |
| Software Dev Engineer II, Alexa for Shopping Software Development Engineer II role focused on developing generative AI for shopping on Amazon, involving design and implementation of stable and efficient training systems for model training and reinforcement learning, collaboration with applied scientists and engineers to improve training efficiency and reliability, and design/implementation of scalable data infrastructure for Amazon-scale data ingestion, processing, and delivery across training and evaluation stages. Requires ML and LLM fundamentals. | DataPost-train | 7 |
| AWS Cloud Architect, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth This role involves architecting and designing cloud solutions for enterprise customers, with a specific focus on AI and Agentic AI architectures within the AWS Professional Services team. The role requires collaboration across Amazon business units and engagement with customers in pre-sales and implementation phases, translating technical concepts into business value. Fluency in Japanese is essential. | Agent | 7 |
| Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. This role involves defining technical vision, setting architectural standards, advising senior executives, and driving AI-native delivery transformation. The consultant will establish operational foundations for agentic AI, including governance, observability, guardrails, and orchestration, while championing responsible AI practices. | Agent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, and knowledge graphs to enable AI agents and foundation models within the healthcare and life sciences industry. The consultant will work with complex data, regulatory requirements, and legacy systems to deliver production-grade data products for AI/ML model training and agentic systems. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, and knowledge graphs to enable AI agents and foundation models to reason accurately within regulated healthcare environments. The goal is to ship production-grade data products for ML model training and agentic orchestration. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the Healthcare and Life Sciences (HCLS) sector. The goal is to transform raw data into governed, AI-ready assets that support downstream applications like ML model training and agentic AI systems, all within regulated environments. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS Senior Delivery Consultant specializing in Data for AWS Professional Services within the Healthcare and Life Sciences (HCLS) practice. The role focuses on building the data layer for AI-ready organizations, including designing and implementing modern data platforms, architecting data pipelines, and creating enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs. The consultant will work within regulated HCLS customer environments with complex data lineage and regulatory overlays, shipping production-grade data products for downstream consumers like ML model training and agentic orchestration. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs. The goal is to enable foundation models and AI agents to reason accurately and execute autonomously within regulated healthcare and life sciences environments. The role involves shipping production-grade data products for ML model training and agentic orchestration layers. | DataAgent | 7 |
