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 |
|---|---|---|
| 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. 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 |
| 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 |
| 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 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 Scientist, Regulatory, Intelligence, Safety and Compliance (RISC) Applied Scientist role focused on agentic AI, GenAI, and Machine Learning for regulatory compliance at Amazon. The role involves designing and evaluating state-of-the-art algorithms for content generation, multi-modal classification, intent detection, information retrieval, anomaly detection, and agentic systems. It requires developing and deploying ML models at scale, with an emphasis on scientific innovation and publication. | AgentPost-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 |
| 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 |
| 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, 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 |
| Applied Scientist, FinTelligence This role focuses on building and scaling generative AI applications for finance teams, involving the development of autonomous agents, efficient inference systems, and robust evaluation frameworks. The position emphasizes shipping production-ready AI systems that handle sensitive financial data and require high precision and reliability. | AgentServe | 8 |
| Sr. Software Development Engineer, Products and Solutions Senior Software Development Engineer to own the architecture and delivery of production systems for AI-powered enterprise cloud migration products. The role involves building agentic AI solutions where AI agents and human consultants collaborate, focusing on orchestration, workflow, and platform infrastructure within the AWS ecosystem. | Agent | 8 |
| Software Development Engineer, Products and Solutions Software Development Engineer to build AI-powered agentic solutions for enterprise cloud migrations, acting as a platform where AI agents and human consultants collaborate. The role involves designing and delivering production features end-to-end within a product engineering team, focusing on agent logic, orchestration, and integration with AWS services. | Agent | 8 |
| Software Development Engineer, Products and Solutions Software Development Engineer to build AI-powered agentic solutions for enterprise cloud migrations, acting as a platform where AI agents and human consultants collaborate. The role involves designing and delivering production features end-to-end within a product engineering team, focusing on agent logic, orchestration, and integration with AWS services. | Agent | 8 |
| Software Development Manager, AWS Neuron SDK - Distributed Training Software Development Manager for AWS Neuron SDK, focusing on distributed training for ML accelerators. The role involves leading a team to design and deploy new products, optimize performance of ML models at scale, and ensure support for key ML functionality. Responsibilities include customer onboarding, maximizing model FLOPS utilization, building tooling, partnering with other teams, and driving technical strategy for frontier model architectures. | Post-trainServe | 8 |
| Applied Scientist, WHS Data-Tech Develop and deploy computer vision and machine learning models for workplace safety applications, impacting millions globally. Collaborate with engineers to productionize models and analyze data for safety risk identification. Focus on shipping models with measurable safety outcomes. | ShipServe | 8 |
| Principal UX Designer, Prime Video Experience Design (PVXD) This role is for a Principal UX Designer in an experimental lab focused on generative AI and conversational experiences for Prime Video. The designer will explore the frontier of AI in entertainment, creating experiences like AI characters and generative video, and will be hands-on with prototyping and emergent generative tools. The role requires a blend of moonshot thinking and practical craft, with a focus on designing human-like conversational AI and advocating for bold AI-driven product directions. | Agent | 8 |
| Applied Scientist II - GenAI/LLM, Translation Services Applied Scientist II role at Amazon focusing on designing and developing scalable machine learning solutions for language translation services using GenAI/LLMs. The role involves applying expertise in LLM models, collaborating with cross-functional teams, conducting data analysis, and evaluating state-of-the-art modeling techniques to improve translation accuracy and efficiency. The team has a startup mindset and aims to build scalable solutions from scratch. | Post-train | 8 |
| Applied Science Manager , C360 Manager for a team working on LLM and VLM post-training and alignment for personalized shopping experiences, leveraging customer behavioral data. | Post-trainAgent | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and shipping the SPB Agent platform, which powers agentic AI experiences for advertisers on Amazon. The role involves architecting and developing generative AI systems that reason over campaign performance, make autonomous decisions, and deliver personalized guidance at scale, integrating LLMs and distributed systems within the advertising domain. | Agent | 8 |
| Applied Scientist, Amazon Robotics, Compass Team Applied Scientist role focused on developing and deploying AI-driven manipulation algorithms for robots in unstructured environments, with a strong emphasis on safety, contact-rich tasks, and sim-to-real transfer. The role involves designing learning-based and model-based approaches, integrating with safety software, and deploying on physical hardware. | ShipData | 8 |
| Postdoctoral Researcher – Visual Localization & Navigation | Amazon Last Mile Research scientist role focused on visual localization and navigation for robotics and logistics platforms, involving metric-semantic mapping, relocalization, and monocular localization using geometric and learning-based approaches. | Agent | 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 |
| Applied Scientist II, Demand Enablement, Product Analytics and Operations This role focuses on designing and building intelligent multi-agent systems for automating root cause analysis in advertising campaign delivery at scale. It involves architecting agentic orchestration, developing hierarchical analysis frameworks, and creating self-learning feedback loops. The goal is to significantly reduce advertiser escalation time by leveraging LLM-based agent architectures and retrieval-augmented generation. | Agent | 8 |
| Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Solutions Architect III for AWS Healthcare & Life Sciences, focusing on architecting production AI/ML systems, including generative AI and agentic architectures, for healthcare organizations. The role involves leading technical engagements, defining reference architectures, influencing stakeholders, and producing thought leadership content, with a strong emphasis on regulated environments. | AgentData | 8 |
| Public Sector Partner SA - OpenAI , WWPS Global ISV Partners This role focuses on being a technical partner lead for OpenAI within AWS's public sector, designing, prototyping, and deploying generative AI solutions. It requires hands-on engineering skills to build prototypes, evangelize capabilities, publish reference architectures, and work with both developers and executives in regulated and classified environments. The role involves deep collaboration with OpenAI and government customers, focusing on RAG, agentic workflows, fine-tuning, and multi-modal deployments on AWS. | AgentServe | 8 |
| Sr. Applied Scientist, C360 Senior Applied Scientist role focused on advancing Information Retrieval, NLP, and Large Language Models for e-commerce personalization. The role involves post-training LLMs (instruction tuning, reward modeling, RL, multi-modal alignment), designing large-scale experiments, analyzing model behavior, and developing training recipes to improve capabilities like reasoning and personalization. It also includes owning the scientific roadmap, leading end-to-end systems, driving technical decisions, mentoring, and publishing research. | Post-trainAgent | 8 |
| Senior Applied Scientist, C360 Senior Applied Scientist role focused on improving shopping experiences using LLMs. The role involves post-training activities like instruction tuning, reward modeling, reinforcement learning, and aligning LLMs with embedding modalities. Responsibilities include designing and running large-scale experiments, analyzing model behavior, and developing new training recipes to enhance reasoning and personalization. | Post-trainPretrain | 8 |
| Applied Scientist , Personalization & Ranking Research Scientist focused on developing and launching new AI technologies for personalization and recommendation systems, utilizing deep learning, LLMs, and reinforcement learning, with a strong emphasis on experimentation and A/B testing. | ShipPost-train | 8 |
| Sr Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer to architect and lead the AI bidding platform for Amazon Sponsored Products and Brands. This role involves owning the technical strategy for real-time inference, GenAI agents, and experimentation infrastructure, focusing on sub-millisecond latency and autonomous learning at scale. Responsibilities include designing bidding engines, agentic intelligence layers using LLMs and RL, and experimentation systems, while also leading engineering efforts and mentoring teams. | AgentServe | 8 |
| Applied Scientist, Prime Video - Generative AI Applied Scientist role focused on Generative AI for Prime Video, involving research and development of generative models for synthesis across images, video, and multimedia. The role will innovate in diffusion and flow-based methods, advance visual grounding and 3D estimation, and design multimodal GenAI workflows including agentic pipelines. | Post-trainAgent | 8 |
| Robotics/AI Motor Control Scientist, Fauna Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots, focusing on creating and optimizing intelligent motor control strategies for complex, whole-body tasks. The role involves using RL/IL, integrating with hardware, simulation/testing, and bridging research with practical implementation. | ShipData | 8 |
| Postdoctoral Scientist, Amazon Robotics Research and AI Development Postdoctoral Scientist role focused on AI-driven optimization for robotic fulfillment operations, involving automated optimization formulation, intelligent solver configuration, and fleet-level AI for dynamic task allocation. The role emphasizes research, publication in top-tier venues, and developing scalable solutions for robotic warehouses. | Agent | 8 |
| Senior PMT ES - Reinforcement Learning, SageMaker AI Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. The role involves shaping how customers leverage RL for foundation model alignment, customization, and improvement, making RL more accessible for a broad range of customers. | Post-trainAgent | 8 |
| Applied Scientist II, Visual Search Science Applied Scientist II role focused on building generative AI and multimodal search systems for Amazon's visual search experience. The role involves designing, training, and optimizing text-to-image generation models, developing multimodal retrieval systems, building LLM-based classifiers for intent and safety, and architecting GPU-intensive inference pipelines. It operates at Amazon scale, serving hundreds of millions of customers. | AgentServe | 8 |
| Member of Technical Staff - Data Platform Engineer, Frontier AI Robotics The role is for a Data Platform Engineer focused on building and maintaining the data infrastructure for robotics manipulation research at Amazon's Frontier AI Robotics team. This involves creating systems to process raw robot data into trainable datasets, including streaming ingestion, data curation, quality controls, and tools for researchers. The role requires full-stack development experience in a cloud-native environment and collaboration with researchers. | Data | 8 |