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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| Applied Scientist, Prime Video Commerce Insights Applied Scientist role focused on building and deploying ML-driven personalization and recommendation systems for Prime Video's commerce journey. The role involves researching, designing, and implementing models at scale, collaborating with engineers for production deployment, and contributing to the science roadmap with a focus on reinforcement learning and customer behavior. | AgentServe | 8 |
| Applied Scientist, Edge AI and Science Applied Scientist role focused on compressing generative AI models (LLMs, VLMs, speech, audio, omni) for edge and cloud deployment. The role involves applying and extending state-of-the-art compression techniques (knowledge distillation, pruning, quantization), designing healing recipes (fine-tuning) to recover accuracy, building reference implementations for partner teams, and defining benchmarks for evaluating trade-offs (accuracy, latency, memory, cost). The goal is to make training-to-deployment seamless. | ServePost-train | 8 |
| Applied Science Manager, Personalization Lead a team of scientists building next-generation LLM-based personalization systems for e-commerce, focusing on research and production deployment at Amazon scale. | 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 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 |
| Applied Science Manager, Alexa International Manager for a team of Applied Scientists focused on building and enhancing multilingual speech models (understanding and generation) for Alexa. The role involves leading the team, setting technical direction, driving scientific strategy, and ensuring end-to-end delivery of speech quality improvements from research to production. Key areas include speech-to-speech models, text-to-speech synthesis, multilingual systems, and leveraging large-scale data and computing resources. | Post-trainServe | 8 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building an AI-native shopping partner that understands customer intent and needs. The role involves defining science strategy, pioneering LLM-based reasoning systems, designing transformer architectures for preference modeling, and inventing real-time ranking systems at massive scale. The work directly impacts hundreds of millions of customers. | ShipAgent | 8 |
| Sr. Manager, Applied Science, Prime Video Personalization & Discovery Sr. Manager, Applied Science for Prime Video Personalization & Discovery, focusing on optimizing customer experience through AI/ML and Generative AI solutions for recommendations, search, and marketing. This role involves managing science and engineering teams, setting technical strategy, and driving product definition and execution for large-scale AI systems. | ShipAgent | 8 |
| Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center This role focuses on researching, designing, and developing generative AI algorithms and ML techniques to solve real-world challenges for AWS customers. The scientist will collaborate with internal teams and directly with customers to understand business problems, implement AI solutions, and provide feedback to product and engineering teams. Key responsibilities include working with deep learning, deploying ML solutions, and understanding generative AI and foundational models. | Serve | 8 |
| Senior Machine Learning Engineer, AWS Generative AI Innovation Center Senior Machine Learning Engineer at AWS Generative AI Innovation Center focused on designing, implementing, and optimizing generative AI solutions for AWS customers. The role involves working with customers to develop bespoke solutions, including fine-tuning and optimizing SLM/LLM models, and addressing complexities in distributed training and low-latency model hosting. | Post-trainServe | 8 |
| Sr. AI Partner Solution Architect, ANZ Partner Team This role focuses on accelerating Generative AI, Agentic AI, and ML adoption by acting as a trusted technical advisor to AWS partners. The Senior AI Partner Solutions Architect will design and implement scalable AI/ML solutions using AWS services, guide partners on architectural patterns including agentic workflows and RAG, and deliver enablement programs. The ideal candidate has extensive hands-on experience with production AI systems and influencing technical and business decision-makers. | Agent | 8 |
| Software Dev Engineer II, EU INTech Partner Growth Experience, EU INTech Partner Growth Experience Software Development Engineer II role focused on building Agentic AI solutions for Selling Partners and Retail users, leveraging LLMs and specialized agents to improve user experience. The role involves working with Amazon's native/partnered LLMs and technologies like AgentCore, AgentMemory, Strands, and MCPs, with a focus on large-scale and high-performing systems. | Agent | 8 |
| Senior Applied Scientist, Amazon Robotics - Vulcan Senior Applied Scientist role focused on developing and deploying learned controllers and manipulation behaviors for robotic systems in Amazon fulfillment centers, utilizing reinforcement learning and behavior cloning. The role involves research, design, implementation, and production deployment of ML models, with a strong emphasis on sim-to-real transfer and leveraging operational data for continuous improvement. The scientist will also mentor junior team members and contribute to publications. | ShipData | 8 |
| SDE, AI Infrastructure, AFT AI Software Development Engineer to lead engineering efforts in developing infrastructure for agentic AI solutions in Amazon warehouses, including training and inference pipelines, and transforming research artifacts into scalable systems. | AgentServe | 8 |
| Senior Machine Learning Software Development Engineer, AI Ops Integration Senior Machine Learning Engineer role focused on designing and deploying production ML/LLM systems and agentic AI solutions for Amazon Operations & Supply Chain. The role involves end-to-end system design, data pipelines, model serving, orchestration of complex workflows, and ensuring safe and reliable operation of AI systems. It requires leadership in technical design, architecture, and engineering excellence across the ML lifecycle, with a focus on automating operational decisions at scale. | AgentServe | 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 Applied Scientist , Buyer Risk Prevention (BRP) Senior Applied Scientist role focused on building and deploying large-scale machine learning systems for fraud and risk prevention in an e-commerce environment. The role involves leading scientific strategy, designing and developing ML solutions, and leveraging GenAI/LLMs for next-generation platforms. Emphasis on real-time production, scalability, and innovation. | Ship | 8 |
| Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect This role is for a Sr. Applied AI Solutions Architect focused on Amazon Connect's AI capabilities, specifically guiding customers in selecting foundation models, configuring AI prompts and agents, and architecting tool integrations for agentic AI systems. A key aspect is ensuring customer data readiness for AI agents and RAG. The role involves hands-on coding, building integrations, and configuring agents to move customers from proof-of-concept to pre-production. | Agent | 8 |
| Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect This role is for a Sr. Applied AI Solutions Architect focused on Amazon Connect's AI capabilities, specifically guiding customers in selecting foundation models, configuring AI prompts and agents, and architecting tool integrations for agentic AI systems. A key aspect is ensuring customer data readiness for AI agents and RAG. The role involves hands-on coding, building integrations, and configuring agents to move customers from proof-of-concept to pre-production. | Agent | 8 |
| Data Scientist, PPE Product Intelligence Data Scientist to build and scale a self-learning scientific price estimation and product understanding system, generating customer-relevant prices on billions of products. Role involves designing and running experiments, developing production-grade models, and translating research findings for stakeholders. | ShipPost-train | 8 |
| Senior Applied Scientist, Last Mile Delivery Senior Applied Scientist role focused on developing computer vision and perception systems for AI agents in last-mile delivery logistics. The role involves designing and implementing deep learning models for visual perception, building algorithms for decision-making, and creating robust systems for AI agents to operate safely in complex environments. It emphasizes end-to-end science from object detection to path planning and control, with a focus on real-world impact and scale. | AgentServe | 8 |
| Applied Scientist II, Perimeter Protection Applied Science This role focuses on designing, developing, and deploying AI/ML models for cybersecurity threats within AWS. It involves leveraging LLMs, generative AI, and agentic AI systems to build production-grade security solutions at scale, processing trillions of requests weekly. The role spans the entire ML lifecycle from data exploration to deployment and requires collaboration with engineers for integration into low-latency systems. | AgentServe | 8 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focusing on designing, implementing, and managing GenAI and ML solutions for customers. Requires strong experience in building, training, fine-tuning, evaluating, and deploying ML models, with a focus on AWS AI/ML services and generative AI applications. Experience with AI agents and orchestration is preferred. | ShipServe | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Software Development Engineer, Conversational AI Modeling and Learning Software Development Engineer/Machine Learning Engineer role focused on building and maintaining platforms for developing, evaluating, and deploying large language models for conversational agents. The role involves working with massive data, scaling ML models, optimizing latency and cost, and driving system architecture for high-performance, low-latency modeling solutions. | AgentServe | 8 |
| Applied Scientist - ML and Robotics Applied Scientist at Amazon Robotics focused on developing ML-based manipulation controllers for robotic systems. The role involves integrating learning with control, estimation, and planning, leveraging simulation and real-world data to create robust policies for grasping, insertion, and object handling. The scientist will collaborate with cross-functional teams to transition research prototypes into production systems for large-scale deployment in fulfillment centers. | ShipData | 8 |
| Sr Software Development Engineer, Neuron Collectives, Annapurna Labs Software Engineer role focused on optimizing collective operations for AWS Trainium, a purpose-built AI training chip. The role involves enhancing collective algorithms and topologies, identifying bottlenecks, and optimizing communication patterns to scale AI compute across the data center, working closely with hardware teams. | Data | 8 |
| Applied Scientist II, GenAI Evaluation Media (GEM) Applied Scientist II focused on GenAI Evaluation Media (GEM) for visual shopping experiences. The role involves research and development of agentic AI capabilities for visual understanding, content generation, personalization (virtual try-on), and automated quality assurance. It emphasizes multimodal understanding, real-time generation, and scalable personalization, integrating computer vision, NLP, and generative AI to create agentic shopping experiences. Success requires defining metrics, cross-functional collaboration, and staying at the forefront of AI advancements. The role requires rigorous research and practical engineering skills for production deployment. | AgentPost-train | 8 |
| Senior Security Engineer, Ads Security Senior Security Engineer focused on building AI-powered security automation solutions and agentic AI workflows for Amazon Ads. The role involves designing, developing, and evaluating AI systems for security use cases like anomaly detection and log analysis, with a focus on production deployment and continuous improvement. | AgentData | 8 |
| Principal Security Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation Principal Security Solutions Architect focused on defining and driving strategic vision for security-focused architectural guidance best practices across AI workloads on AWS. The role operates at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes with a deep focus on security. Responsibilities include setting technical direction, providing thought leadership on securing AI architectures (model security, data pipelines, prompt injection, inference endpoint hardening, secure agentic workflows), influencing service roadmaps, engaging with enterprise customers, driving innovation in content delivery, and hands-on technical validation. | Agent | 8 |
| Senior Applied Scientist (Computer Vision), Camera and Sensors Senior Applied Scientist focused on computer vision and multimodal perception models for Amazon devices, involving algorithm development, experimentation, and implementation with large-scale data and computing resources. | Ship | 8 |
| Principal AI Compute SA, AGS Namer Tech This role is for a Principal AI Compute SA at Amazon Web Services (AWS), focusing on designing and architecting scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions for strategic enterprise accounts. The role involves acting as a subject matter expert and trusted advisor to customers, guiding them through their AI transformation journey, developing technical content, and collaborating with internal AWS teams to drive adoption of AWS AI services. The focus is on production-grade, responsible AI practices and enabling customers to leverage advanced AI capabilities on AWS. | Agent | 8 |
| Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI Sr. Applied Science Manager to lead a team of scientists in building and scaling AI systems for deep product understanding, metadata organization, and generation within Amazon's e-commerce catalog. The role involves driving ML, NLP, and GenAI initiatives, creating agents, and delivering models into production. | AgentPost-train | 8 |
| Deep Learning Architect, AWS Gen AI Innovation Center This role focuses on designing, implementing, and scaling generative AI solutions for AWS customers, acting as a bridge between customer needs and AWS AI capabilities. It involves customer engagement, solution architecture, and providing guidance on best practices for responsible and cost-efficient AI deployment. | AgentPost-train | 8 |