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 |
|---|---|---|
| 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 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 |
| 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 |
| 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 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 |
| 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 |
| Software Development Manager, Amazon Quick Software Development Manager for a new generative AI-powered assistant initiative within Amazon Quick. The role involves leading a team to define, drive, and execute product vision, invent and ship software impacting end customers, and collaborate with scientists and product managers. Requires experience in engineering team management, system design, and shipping production software, with a preference for Gen-AI development and LLM application engineering. | Agent | 8 |
| Applied Science Manager, Healthcare AI Applied Science Manager for Healthcare AI at AWS, leading teams to build innovative AI-powered healthcare solutions using generative and agentic AI. Focuses on transforming clinical and administrative workflows, improving patient care, and enhancing operational efficiency. The role involves technical leadership, people management, and driving innovation in areas like medical administration reasoning, AI agent design, and medical coding, with a goal of translating research into production for customer-facing products. | ShipAgent | 8 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role at Amazon Ads, focusing on developing and applying generative AI and LLM technologies to enhance sponsored products and brands advertising. The role involves inventing new advertiser and shopper experiences, building monetization and optimization systems, defining long-term science vision, and bringing state-of-the-art GenAI models to production. Requires strong ML, LLM, and GenAI expertise, with experience in model fine-tuning, prompt engineering, and digital advertising technology. The position also involves leading scientific rigor, mentoring talent, and communicating with leadership. | ShipPost-train | 8 |
| Applied Science Manager, Safe Autonomy, SAF Lab Manager for a team developing a universal safety layer for robotic systems, focusing on safe autonomy for dynamic robots. The role involves leading research, strategy, and ensuring innovations translate into production systems at Amazon scale, integrating control barrier functions with planning, perception, and learning. The team publishes research and collaborates with academic and industry partners. | ShipAgent | 8 |
| Senior Software Development Engineer, AWS Mantle Senior Software Development Engineer to build and scale the distributed inference engine for Amazon Bedrock, powering enterprise access to foundation models globally. The role involves designing, building, and operating high-performance systems for ML inference at massive scale, focusing on request routing, load balancing, model lifecycle management, and performance optimization across AWS regions. | Serve | 8 |
| Machine Learning Engineer , Amazon Customer Service Machine Learning Engineer on the Data Intelligence team within Amazon Customer Service, responsible for designing and building scalable AI/ML systems, end-to-end AI pipelines, and production-grade AI services including generative AI, LLMs, and intelligent agent systems. The role involves building infrastructure for the complete AI model lifecycle, handling high-volume inference, implementing AI governance, and developing AI-powered products. | AgentServe | 8 |
| Sr GenAI Infra Specialist SA, AWS WWSO Startup Senior GenAI Infrastructure Specialist SA for AWS WWSO Startup team, focusing on AI infrastructure for model training and inference optimization. The role involves advising startup customers on hardware, optimization techniques, and deploying strategies for large-scale AI workloads on AWS. | ServePost-train | 8 |
| Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice The Applied Scientist II will design, implement, and deploy AI-powered agentic solutions for Amazon's recruiting process. This role involves creating conversational AI agents using LLMs and GenAI, developing evaluation frameworks, and collaborating with cross-functional teams to integrate these solutions into candidate-facing platforms. The position also requires staying current with agentic AI research and contributing to the scientific community. | Agent | 8 |
| Senior Applied Scientist, AWS Security Senior Applied Scientist role focused on building and deploying AI/ML systems for cybersecurity threat detection and mitigation within AWS. The role involves analyzing threat data at scale, developing prototypes, and leading technical innovation to protect AWS customers. | ShipServe | 8 |
| Principal Solutions Developer , Prototyping and Customer Engineering (PACE) Principal Solutions Developer role focused on building prototypes and customer engineering solutions using AI, Generative AI, and Agentic Design within enterprise contexts on AWS. The role requires a strong builder mentality, technical depth, and customer-facing skills to explore new technical grounds and accelerate AWS adoption. | Agent | 8 |
| Data Scientist II, RufusX Science UK Data Scientist II role focused on developing and optimizing AI-driven conversational and multimodal shopping experiences using NLP, ML, and large language models. The role involves analyzing large datasets, building predictive models, designing experiments, and collaborating with scientists and engineers to launch features and systems. It touches on inference infrastructure and agentic systems for shopping tasks. | AgentServe | 8 |
| Data Scientist II, Alexa for Shopping Science UK Data Scientist II role focused on building and optimizing AI-driven conversational shopping experiences for Alexa. The role involves developing multimodal systems using NLP, ML, and LLMs, with a focus on agentic capabilities, information retrieval, recommender systems, and knowledge graphs. Responsibilities include data analysis, modeling, experimentation, A/B testing, metric development, and collaboration with scientists and engineers to launch features and systems. The role also touches on inference and serving infrastructure. | AgentServe | 8 |
| Applied Scientist II, Alexa Ads The Applied Scientist II role at Amazon's Alexa Ads team focuses on building Generative AI powered agentic advertising products and personalization models for the Alexa consumer assistant. This involves designing, developing, and evaluating ML models for NLP, recommendation systems, and personalization, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating with engineers to deploy models into production. The role is part of a greenfield team aiming to rethink ad ranking, pricing, and personalization for voice-first and screen-first surfaces, with opportunities for both production deployment and top-tier publications. | AgentServe | 8 |
| Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice This role focuses on designing, implementing, and deploying AI-powered agentic solutions for Amazon's talent acquisition process. The scientist will leverage LLM and GenAI technologies to create conversational AI agents that guide candidates through the hiring journey, and will develop evaluation frameworks to measure agent effectiveness and user experience. Collaboration with cross-functional teams and staying current with agentic AI research are also key responsibilities. | Agent | 8 |
| Software Development Manager, Analytics and Data Management Software Development Manager leading a team to build and scale a conversational AI assistant (SpektrBot) for interacting with a large advertising data lake. The role involves managing engineers, driving execution on core products like RAG pipelines and multi-agent architectures, ensuring operational excellence, and coordinating with various partner teams to deliver AI-powered data insights through natural language. | AgentServe | 8 |
| Senior Applied Scientist, Industrial Robotics Group Senior Applied Scientist role focused on developing AI and ML systems for industrial robotics and manufacturing. The role involves creating real-time decision systems, inventing new algorithms, and delivering complex solutions into production, with a strong emphasis on optimization and ML techniques applied to manufacturing flow and throughput. | ShipAgent | 8 |
| Sr Manager, Applied Science, Creative Intelligence This role leads a science organization focused on Dynamic Creative Optimization (DCO) and Creative Brain (CB) for Amazon Ads. The core responsibility is to own and drive the models, algorithms, and research that personalize ad creative in real-time to improve advertiser performance, focusing on conversion and long-term value. The role involves managing a team of applied scientists and data scientists to build a closed-loop system that continuously learns from each impression to improve creative decisions. Key objectives include compressing learning loops, expanding optimization coverage, solving cold-start problems, building persistent memory layers, developing causal inference for creative components, creating cross-advertiser priors, designing representation architectures for creative quality reasoning, and owning quality science (defect detection, compliance, aesthetics). The role also involves defining science strategy, leading competitive analysis, ensuring rapid translation of research to production, and managing a team of 8+ scientists. | ShipServe | 8 |
| Applied Scientist, EU INTech Consumer Selection Discovery, NintAI Applied Scientist role focused on building and deploying AI/ML models for Amazon's global search and discovery experiences, aiming to improve customer navigation and product discovery. The role involves end-to-end ownership from problem analysis and science plan design to production deployment, with a focus on ranking, computer vision, and generative AI. | Ship | 8 |
| Applied Scientist Applied Scientist role at Audible focusing on developing and productionizing ML/AI models for various applications including NLP, RL, and Generative AI. The role involves inventing scientific approaches, building scalable solutions, and collaborating with engineering and product teams to deliver customer-facing features and foundational capabilities. | Ship | 8 |
| Applied Scientist, FinTelligence This role focuses on building and deploying generative AI applications within Amazon's FinTech organization. The primary responsibility is to create AI systems and autonomous agents that process financial transactions, extract intelligence from documents, and learn from user interactions. The role involves solving inference at scale, developing robust evaluation frameworks, and ensuring the AI systems are trustworthy and compliant for finance teams. The work spans from model architecture to deployment and customer workflow impact, with a strong emphasis on shipping production-ready AI solutions. | AgentServe | 8 |
