Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 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 |
|---|---|---|
| Member of Technical Staff - Reinforcement Learning, AGI Autonomy Research role focused on developing foundational capabilities for AI agents that can act in digital and physical worlds, with a focus on multimodal LLMs, automation agent systems, and applying GenAI to real-world problems. Involves rapid invention, experimentation, and collaboration. | AgentPost-train | 9 |
| Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy Develop training infrastructure for large-scale reinforcement learning on LLMs, working across the technology stack including ML systems, orchestration, and data management. Analyze, troubleshoot, and profile ML systems, and conduct MLSys research for new techniques and tooling. | Data |
| 9 |
| Senior Applied Scientist, Delivery Foundation Model Senior Applied Scientist role focused on developing and implementing novel deep learning foundation models, combining multiple modalities (image, video, geospatial) for logistics use cases. The role involves training models at scale, optimizing for inference, collaborating with other teams, guiding technical direction, and mentoring junior scientists. It spans the full spectrum from data preparation to model training, evaluation, and inference. | Post-trainServe | 9 |
| Sr. Principal Scientist, Secure Work Enablement Senior Principal Scientist role focused on pioneering AI technologies for secure enterprise collaboration, including novel AI architectures, human-AI interaction, AI agent orchestration, and privacy-preserving ML. The role involves translating business requirements into AI deliverables, inventing new product experiences, and bringing state-of-the-art LLM/GenAI models to production, while defining long-term science vision and collaborating with academic partners. | Agent | 9 |
| Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Senior Software Engineer role focused on developing, enabling, and performance tuning distributed training solutions for large-scale ML models (LLMs, Stable Diffusion, ViT) on AWS Neuron accelerators using PyTorch. The role involves building distributed training support into PyTorch, the Neuron compiler, and runtime stacks, with a focus on strategies like FSDP, PP, and Context parallel. Experience with post-training strategies is a plus. | PretrainPost-train | 9 |
| Sr. Applied Science Manager, Perfect Order Experience (POE) AI Senior Applied Science Manager leading a team to develop a domain-specific LLM, including pre-training, fine-tuning, and reinforcement learning. The role also involves architecting risk detection systems using multi-modal signals and influencing ranker models for product visibility. The focus is on building and scaling AI solutions for Amazon's Perfect Order Experience. | Post-trainPretrain | 9 |
| 2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics Internship role focused on developing novel algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics, tackling research problems in robotic perception, manipulation, and control. Involves collaboration with cross-functional teams and leveraging expertise in deep learning, reinforcement learning, computer vision, and motion planning. | ShipAgent | 9 |
| Member of Technical Staff, Applied Science - People Leader, AGI Autonomy Lead a research team focused on advancing foundational capabilities for useful AI agents by combining LLMs with RL. The role involves managing research, aligning roadmaps, mentoring, and hiring, with a focus on evolving agents for reasoning, planning, and world modeling. Experience with training large models, scaling foundational models, and applying post-training techniques is required. | AgentPost-train | 9 |
| Delivery Consultant- AI/ML, WWPS ProServe This role focuses on designing, implementing, and scaling AI/ML solutions for AWS customers, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, train, and fine-tune models, and deploy these solutions. The role involves architecting complex solutions, conducting experiments, and optimizing performance, acting as a trusted advisor on AI/ML advancements. | AgentPost-train | 8 |
| Manager Research Science, Last Mile Science and Analytics Manager Research Science role focused on optimizing Amazon's delivery network using advanced ML models, AI systems, and AI agents. The role involves developing algorithms for forecasting, resource allocation, and decision-making, with a focus on building and deploying AI-driven solutions for logistics. | AgentData | 8 |
| Senior Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect for AI Engineering at AWS ASEAN, focused on embedding with customers to architect, build, and deploy production-grade AI and Agentic solutions. This role involves hands-on delivery, technical leadership, and enabling customer teams on GenAI/ML technologies, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | AgentServe | 8 |
| Applied Scientist, Personalization, Personalization Seeking an Applied Scientist to build Amazon's next-generation customer memory and personalization systems. This role involves designing and building ML and LLM-powered solutions for extracting, validating, and applying customer knowledge in production systems, focusing on areas like fact extraction, memory quality, temporal reasoning, and grounded personalization. The work operates at scale and requires balancing quality, latency, and coverage. | AgentData | 8 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, emphasizing real-time solutions and end-to-end data excellence within a consumer product context. | Agent | 8 |
| SDE-II, AI Core Infra - AI Analytics and Insights Software Development Engineer II on the AI Core Infra team at Amazon Advertising, focused on building and scaling the backend systems for a conversational AI assistant (SpektrBot) that uses generative AI and RAG to help users query advertising data. The role involves designing services, engineering RAG pipelines, integrating LLMs, building evaluation loops, and developing SQL generation capabilities. | AgentServe | 8 |
| Senior Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect for AI Engineering at AWS ASEAN, focused on embedding with customers to architect, build, and deploy production-grade AI and Agentic solutions. This role involves hands-on delivery, technical leadership, and enabling customer teams on GenAI/ML technologies, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | AgentServe | 8 |
| Senior Data Scientist, Enterprise Security Products Senior Data Scientist role focused on building AI-first security products, with a strong emphasis on agentic AI, RAG, and evaluation frameworks. The role involves setting science strategy, architecting solutions, and driving adoption of AI tooling within an enterprise security context. | Agent | 8 |
| Software Development Engineer, Catalog Diagnostics (Agentic) & Analytics Software Development Engineer role focused on building agentic diagnostics and analytics services for Amazon's product catalog. The role involves using Generative AI, VLMs, and multimodal reasoning to understand product identity and relationships at a massive scale. Responsibilities include designing and implementing agentic frameworks, pioneering explainable AI, owning data pipelines, and defining product roadmaps. The team manages large data lakes and builds agentic solutions for catalog diagnostics, focusing on feedback loops, accuracy, and automated skill creation. | AgentData | 8 |
| Software Dev Engineer II, Stores Foundational AI -SFAI Software Development Engineer II role focused on building and improving generative AI for shopping using LLMs. Responsibilities include designing and implementing stable and efficient training systems for model training and reinforcement learning, developing scalable data infrastructure, and optimizing RL post-training pipelines. The role involves collaborating with scientists and engineers to accelerate innovation and translate research into production-ready systems. | Post-trainData | 8 |
| Software Dev Engineer II, Stores Foundational AI -SFAI Software Development Engineer II focused on building and optimizing generative AI training systems, specifically for LLMs and RL post-training pipelines, at Amazon's Stores Foundational AI team. The role involves designing scalable data infrastructure, improving training efficiency and reliability, and translating research algorithms into production-ready systems. | Post-trainData | 8 |
| Software Dev Engineer II, Stores Foundational AI -SFAI Software Development Engineer II role focused on building and improving generative AI for shopping using LLMs. Responsibilities include designing and implementing stable and efficient training systems for model training and reinforcement learning, developing scalable data infrastructure, and optimizing RL post-training pipelines. The role involves collaborating with scientists and engineers to accelerate innovation and translate research into production-ready systems. | Post-trainData | 8 |
| Software Dev Engineer II, Stores Foundational AI -SFAI Software Development Engineer II focused on building generative AI for shopping experiences at Amazon. The role involves designing and implementing stable and efficient training systems for model training and reinforcement learning, collaborating with applied scientists and engineers to improve training efficiency, and developing scalable data infrastructure for Amazon-scale data ingestion and processing across training and evaluation stages. Requires experience with ML and LLM fundamentals, transformer architecture, and training/inference lifecycles. | DataPost-train | 8 |
| Software Dev Engineer II, Stores Foundational AI -SFAI Software Development Engineer II at Amazon on the Stores Foundational AI team, focusing on building and optimizing large-scale LLM training infrastructure, including pretraining and RL post-training pipelines, data infrastructure, and observability systems for generative AI in shopping. | Post-trainData | 8 |
| Sr. Product Manager, SSC, Amazon Private Brands Product Manager role focused on AI-powered regulatory intelligence and AI agent lifecycle management within Amazon Private Brands. The role involves defining product strategy, roadmaps, and requirements for AI solutions that automate safety, sustainability, and compliance processes, aiming for autonomous operation and ensuring agents meet accuracy thresholds. | Agent | 8 |
| Sr Software Dev Engineer, Stores Foundational AI -SFAI Senior Software Development Engineer focused on building and scaling ML infrastructure for foundational LLMs in Amazon Stores, specifically involving RL post-training pipelines, stability, efficiency, and translating research into production systems. | Post-trainServe | 8 |
| Sr Applied Scientist Sr. Applied Scientist at Amazon Ring focused on computer vision and machine learning to improve customer experience and neighborhood safety. The role involves developing and deploying data-driven models, researching state-of-the-art algorithms, and collaborating with product and engineering teams. Requires experience with Multi-modal LLMs/Vision Language Models and experience in building ML models for business applications. | ShipPost-train | 8 |
| Applied Scientist, Ring AI Applied Scientist role focused on computer vision and machine learning for consumer products (Ring devices). The role involves research, development, evaluation, and deployment of models, with a specific emphasis on Multi-modal LLMs and Vision Language Models. Collaboration with product and engineering teams is key. | Post-trainAgent | 8 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves technical leadership, architectural design, customer advisory, and content creation for AI/ML solutions on AWS, with a strong emphasis on production deployment and scaling. | AgentServe | 8 |
| 2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning Internship role focused on Computer Vision and Machine Learning research, developing novel solutions and prototypes with potential impact on customer-facing products. Involves collaboration with researchers and publication in top-tier conferences. | Post-train | 8 |
| Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries Principal Delivery Consultant for AWS Professional Services, focusing on large-scale Healthcare and Life Sciences (HCLS) transformation programs. The role involves defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. Key responsibilities include setting technical standards for agentic AI, providing executive technical advisory, driving cross-team alignment, and transforming delivery models using AI-native methodologies and multi-agent systems. | Agent | 8 |
| Applied Scientist, Conversational AI ModEling and Learning Research and develop novel algorithms and modeling techniques for conversational AI using LLMs, focusing on prompt engineering, fine-tuning, and learning from human feedback to improve user experience and enable natural conversations. | Post-trainAgent | 8 |
| Applied Scientist II, Demand Science Applied Scientist II role focused on developing and deploying state-of-the-art ML/AI solutions for demand forecasting and supply optimization for Amazon Devices. The role involves full lifecycle ownership from research to production, including building forecasting models, exploring data, developing new approaches with AI-native experimentation and agent-driven automation, and partnering with engineering for deployment. Experience with transformer architectures, LLM-powered agents, and deep learning is required. | ShipAgent | 8 |
| Senior Manager Software Development, AWS Systems Manager Senior Manager Software Development role leading three engineering teams in AWS Systems Manager's Automation suite. The role focuses on building the execution layer for AI agents to safely take actions on cloud infrastructure at scale, including pre-execution impact analysis, safety frameworks, and intelligent orchestration. The teams will ship capabilities that enable customers to trust AI agents for autonomous operations. | AgentServe | 8 |
| Applied Scientist, AWS Applied AI Solutions Core Services This role focuses on developing and productizing AI solutions for enterprise customers within AWS Applied AI Solutions. The scientist will design and implement machine learning systems for diverse applications like video understanding, geospatial optimization, fraud detection, and anomaly detection, creating scalable algorithms and models. They will conduct experiments with LLMs, computer vision, and agentic AI systems, collaborate with engineering teams to integrate science components into production, and establish evaluation frameworks for performance measurement. The role involves working with product teams to frame problems and validate approaches, with opportunities for publication. | ShipAgent | 8 |
| Sr. Software Development Engineer, Amazon Shopping (Rufus) Senior Software Development Engineer role focused on building and scaling agentic AI 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 efficient agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The position emphasizes improving LLM application efficiency and enabling new agentic AI features. | AgentServe | 8 |
| Sr. GenAI Specialist SA , Solutions Architecture Senior Specialist Solutions Architect focused on Generative AI at AWS. This role involves working with enterprise customers to design and implement production-ready GenAI solutions, including LLM-powered applications, agentic systems, and multi-modal AI. Responsibilities include technical advisory, hands-on implementation guidance, solution design, and customer engagement, with a focus on converting AI ambition into scalable, production-ready solutions. | AgentServe | 8 |
| Applied Scientist, International Machine Learning The Applied Scientist will use machine learning and statistical techniques to create state-of-the-art solutions for Amazon's customers, focusing on building and deploying advanced ML systems to optimize transactions and analyze large datasets. The role involves end-to-end ownership of business problems, developing ML solutions for India Consumer Businesses, and working closely with engineering and business partners to implement and maintain models in production. | Ship | 8 |
| Sr. Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Senior Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and collaborating with cross-functional teams. The position also emphasizes mentoring junior engineers and publishing research findings. | Ship | 8 |
| Applied Scientist, Trustworthy Shopping Experience (TSE) Applied Scientist role focused on building agentic AI systems for Amazon's Trustworthy Shopping Experience. The role involves developing multi-step reasoning, autonomous task execution, and multimodal intelligence, with a focus on productionizing models and contributing to end-to-end AI development from research to deployment. Responsibilities include designing experiments, writing production code, evaluating models, and potentially publishing research. | AgentServe | 8 |
| Sr Applied Scientist, ML Codesign, Edge AI Platform This role focuses on the joint optimization of model compression and silicon architecture for Amazon's edge and cloud inference accelerators. The scientist will define the hardware-aware compression roadmap, own the optimization of compression algorithms with hardware, and represent applied science in silicon architecture reviews. The goal is to ship advanced quantization and distillation techniques in production for large language models. | ServePost-train | 8 |
| Sr. GenAI Specialist SA, Solutions Architecture Senior Specialist Solutions Architect for Generative AI at AWS, focusing on helping enterprise customers build and scale production-ready GenAI solutions. This role involves technical advisory, hands-on implementation guidance, and solution design for LLM-powered applications, agentic systems, and multi-modal AI. Requires deep expertise in model selection, fine-tuning, RAG, agentic workflows, MLOps, and inference optimization, with a strong emphasis on shipping GenAI solutions in real-world settings. | AgentServe | 8 |
| AI Language Engineer, Alexa for Shopping AI Language Engineer for Amazon's Conversational Shopping team, focusing on developing and implementing LLM-assisted evaluation tools and processes to improve AI-driven shopping experiences. The role involves creating automated verification scripts, annotation guidelines, and quality metrics, collaborating with cross-functional teams to ensure high-quality editorial data and product outcomes. | Eval GateData | 8 |
| Senior Applied Scientist, Amazon Ads, Demand Tech , Amazon Advertising, Demand Tech Senior Applied Scientist role focused on building and improving deep learning models for response prediction and incrementality in Amazon's advertising platform. The role involves end-to-end ownership from design to production deployment, with a strong emphasis on low-latency, high-throughput inference and online A/B testing. Collaboration with engineers on serving infrastructure and mentoring junior scientists are also key aspects. | ServePost-train | 8 |
| Applied Scientist, AICE - AI Center of Excellence Research Scientist role focused on building and hardening AI primitives for enterprise-wide consumption at Amazon, translating research into production-ready solutions and driving scientific direction. | ShipData | 8 |
| Applied Scientist - LLM, Alexa Applied Scientist role focused on training and deploying LLMs for conversational AI systems like Alexa. The role involves end-to-end ownership from research and algorithm development to production deployment and inference infrastructure. | Post-trainServe | 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on developing novel solutions and prototypes in Deep Learning and Generative AI, with potential to deliver to production. Collaborates with R&D scientists and aims to publish research in top ML conferences. | Ship | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer II to design and build AI-powered advertiser controls, including bidding systems, agentic architectures, and experimentation systems. The role involves developing AI engineering infrastructure, interfacing agentic architectures, and designing experimentation systems to optimize ad campaigns on Amazon. | AgentServe | 8 |
| Senior Applied Scientist, Perimeter Protection Applied Science Senior Applied Scientist role at AWS Perimeter Protection team, focusing on designing, building, and scaling AI-driven security solutions for AWS customers. The role involves the full ML lifecycle, from research to production deployment, with a focus on high-impact security challenges like WAF, DDoS, Bot Management, and Infrastructure Protection. It requires experience with production ML systems at scale, low-latency inference, and protecting services handling trillions of requests weekly. | ShipServe | 8 |
| Senior Solution Architect, AI Engineering, ASEAN Tech Senior Solution Architect focused on building and deploying AI and Agentic solutions for AWS customers in ASEAN. This role involves hands-on delivery, architecture design, and technical leadership to turn AI ambitions into production systems, leveraging AWS services like Bedrock, AgentCore, and SageMaker. | AgentServe | 8 |
| Senior Applied Scientist, AWS Marketplace Science Senior Applied Scientist role at AWS Marketplace focusing on building advanced AI/ML systems for information retrieval and agentic systems. The role involves translating scientific research into practical, scalable solutions, driving evaluation, and collaborating with product and engineering teams. It emphasizes experience in large-scale B2B platforms, generative AI, and agentic systems, with a focus on shaping purchasing decisions. | AgentServe | 8 |
| Software Development Manager, AWS Neuron SDK - Distributed Training This role focuses on engineering and optimizing distributed training for large-scale ML models, particularly LLMs with multi-modal inputs/outputs, on AWS Neuron accelerators. The primary goal is to enhance training resiliency and performance across thousands of nodes, ensuring Trainium devices are first-class citizens for ML acceleration. | DataServe | 8 |
