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. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE) This role focuses on architecting and building Generative AI and Agentic AI prototypes for AWS customers, leveraging LLMs, RAG, function calling, autonomous agents, and multi-agent orchestration. The emphasis is on rapid development and demonstrating the potential of these technologies to influence customer adoption. | Agent | 9 |
| Principal Applied Scientist, Ring AI Principal Applied Scientist role focused on computer vision and multimodal LLMs, involving research, algorithm development, and translating research into practice for consumer products. Requires PhD, 10+ years of ML experience, and expertise in computer vision, VLM, and deep learning. The role involves defining research directions, developing long-term strategies, and mentoring junior scientists. | Post-train |
| 9 |
| 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 |
| 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, 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 |
| 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 |
| 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 for Amazon's Sponsored Products and Brands. The role involves owning platform capabilities, developing AI engineering infrastructure, interfacing agentic architectures, and designing experimentation systems. Requires strong software engineering skills, experience with Gen AI/LLMs, fine-tuning, RLHF, and RAG, with a focus on delivering customer-facing AI products. | AgentServe | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building an Agent platform using Generative AI and ML technologies for Amazon Ads. The role involves designing and developing scalable systems for personalized ad experiences, optimizing for cost and latency, and pioneering new approaches to conversational AI. The team owns the SPB Agent, which powers reasoning behind agentic experiences in Ads Console, Sales, and Seller Central. | Agent | 8 |
| Applied Scientist II, Brand Registry The Applied Scientist II role on the Brand Registry team at Amazon focuses on designing, developing, and deploying AI solutions, specifically leveraging LLMs and agentic AI frameworks to create intelligent automation and autonomous outcomes for brand protection and seller experience. The role involves owning the end-to-end ML lifecycle, from problem formulation to production deployment, and collaborating with product managers and engineering teams. | Agent | 8 |
| Principal Software Engineer, Agentic AI DevOps This Principal Software Engineer role focuses on building agentic AI solutions for AWS DevOps, aiming to accelerate incident response and improve operational efficiency for production systems. The role involves working with information retrieval systems, knowledge graphs, and LLMs to create a frontier agent that resolves incidents and learns from them for systemic improvements. | Agent | 8 |
| Applied Scientist, Sales AI This role focuses on building AI/ML solutions for the Ad Sales business, specifically creating customer-facing recommendations and enhancing end-to-end workflows with Generative AI. The scientist will leverage quantitative modeling techniques like Sequential Recommender Systems, Deep Learning, and Reinforcement Learning, and use NLP and Generative AI for explainability. The role involves research, model development, A/B testing, and collaboration with engineering and product teams to deliver production-ready solutions. | AgentPost-train | 8 |
| Compiler Engineer II - Machine Learning, Annapurna Labs The role involves developing and scaling a deep learning compiler stack for AWS Machine Learning accelerators (Inferentia and Trainium chips). The engineer will architect and implement features for the AWS Neuron SDK, focusing on making LLM and Vision models run performantly on accelerators. This includes compiler development, optimization, and integration with ML frameworks like PyTorch, TensorFlow, and JAX. | Serve | 8 |
| Sr Manager, Applied Science, Alexa Connections Senior Manager of Applied Science for Alexa Connections, leading a team to build LLM-powered communication features for millions of users. Focuses on end-to-end applied science projects, from ideation to deployment and monitoring, with an emphasis on scaling ML models and AGI/LLM systems for consumer applications. | ShipPost-train | 8 |
| Applied Science Manager III, RBKS AI Manager for an Applied Science team focused on innovating AI features for Ring and Blink cameras, combining computer vision and generative AI for home security. The role involves leading the team in developing and productizing advanced CV and GenAI models, driving technical strategy for privacy-preserving solutions, and ensuring delivery of high-quality science artifacts for customer-facing products. | ShipPost-train | 8 |
| Applied Scientist III, RBKS AI The RBKS AI team at Amazon is seeking Applied Scientists to innovate AI features for Ring and Blink cameras, focusing on the intersection of computer vision, generative AI, and ambient intelligence. The role involves productizing research into advanced computer vision and multimodal GenAI models for video understanding, object detection, and real-time applications, with an emphasis on privacy-preserving, efficient fine-tuning, and on-device/in-cloud inference. The goal is to ship AI solutions that enhance home security for millions of customers. | ShipPost-train | 8 |
| Senior Security Engineer, AI Security Senior Security Engineer focused on designing and implementing security controls for Amazon's AI/ML services and applications, ensuring they meet high security standards throughout the SDLC. Responsibilities include security reviews, threat modeling, penetration testing, automation development, and influencing stakeholders. | Ship | 7 |
| Machine Learning Engineer, AICE - AI Center of Excellence Machine Learning Engineer at Amazon's AI Center of Excellence (AICE) responsible for the end-to-end development and deployment of AI/ML primitives that power Amazon's intelligent systems. This role involves ideation, experimentation, architecture, implementation, testing, and production deployment of reusable AI capabilities for enterprise-wide consumption, with a focus on reliability, scalability, and operational excellence. | Ship | 7 |
| Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI This role involves designing, implementing, and managing end-to-end AI/ML and Generative AI solutions for enterprise clients on AWS. The engineer will prepare data, develop models, deploy solutions, and architect scalable ML pipelines and MLOps using AWS services, focusing on delivering business value through AI adoption. | ShipServe | 7 |
| Architecte IA/ML | AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services AWS Professional Services is seeking an AI/ML Architect to help public sector clients in Canada adopt and implement ML and Generative AI solutions. The role involves understanding business challenges, designing and building solutions using AWS ML services, and collaborating with engineering teams to bring them to production. Experience with ML/GenAI development, AWS ML services, and project lifecycle support is required. | AgentServe | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure. The engineer will be responsible for the complete vertical stack, from silicon to system-to-system interfaces, ensuring the quality and performance of AI/ML accelerators. This involves developing validation strategies, executing test plans, debugging hardware, and collaborating with various engineering teams throughout the product development lifecycle. | ServeAgent | 7 |
| Applied Scientist II, Amazon Private Brands Applied Scientist II role focused on building and deploying Generative AI and Machine Learning solutions for Amazon Private Brands' product assortment, pricing, and merchandising. The role involves adapting state-of-the-art research, inventing novel solutions, developing prototypes, and implementing production software, with a focus on agentic AI and large language models. Responsibilities include partnering with business stakeholders, adapting ML solutions, inventing and deploying novel science solutions, reviewing team's work, and publishing research. | Agent | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
| Sr. Product Manager, Alexa Canada Senior Product Manager for Alexa Canada, focusing on expanding Alexa's presence in the Canadian market. This role involves defining user needs, creating product roadmaps, understanding market dynamics (including emerging AI/ML), developing requirements, leading cross-functional teams, owning the customer experience, tracking launches, managing trade-offs, monitoring performance, and working closely with engineering. The role requires technical depth to evaluate AI model behavior and technical approaches, and a proactive exploration of new AI capabilities like large language models and agentic AI. | Agent | 7 |
| Software Development Engineer, RDS Security Monitoring, RDS Security Monitoring Software Development Engineer role focused on building and operating agentic AI solutions for security monitoring of relational databases (Aurora and RDS) at massive scale. The role involves capturing and analyzing security telemetry to identify and mitigate threats, requiring strong distributed systems engineering skills and operational excellence. | Agent | 7 |
| Applied Scientist, Alexa Smart Home Applied Scientist role focused on building end-to-end AI systems for Alexa Smart Home, leveraging ML, NLP, and computer vision. Requires PhD or Master's with significant experience in model building, publications, and knowledge of LLMs, RAG, multi-modal LLMs, and recommender systems. The role involves owning system design, development, and driving production-level projects. | Agent | 7 |
| Software Development Engineer , Amazon Customer Service Software Development Engineer role focused on building and maintaining data infrastructure and ML platform infrastructure to support the complete AI model lifecycle, from development to production deployment, within Amazon Customer Service. | ServeData | 7 |
| Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Sr. Applied Scientist role focused on building and deploying scalable ML models and optimization solutions for Amazon's Private Brands retail business. The role involves translating business requirements into concrete deliverables, working with large-scale datasets, and applying expertise in ML, Optimization, Statistics, Causal Inference, and Reinforcement Learning to drive business decisions and improve operations. Experience with distributed systems and Operations Research is highly valued. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Generative AI and LLM capabilities into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reducing latency, and influencing operational excellence for audio services. It also includes mentoring junior engineers and contributing to hiring efforts. | ServePost-train | 7 |
| Senior Program Manager, Intellectual Property Protection Senior Program Manager to drive ML-powered brand protection detection systems at Amazon, focusing on end-to-end program lifecycle, root cause analysis of false positives, and translating findings into engineering specifications. The role involves partnering with applied scientists and engineering teams to improve detection accuracy and scale solutions globally. | Eval Gate | 7 |
| Software Dev Engineer , Amazon Customer Service Software Development Engineer role focused on building and scaling Agentic AI and Generative AI capabilities for customer service associates, involving full-stack development of distributed services and operationalizing these systems. | Agent | 7 |
| Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development from weeks to hours using GenAI. | Agent | 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Principal Product Manager - Technical for Amazon Customer Service, focusing on end-to-end lifecycle of large-scale AI products. The role involves defining strategy, driving execution, and collaborating with cross-functional teams on Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures to improve customer experience. | Agent | 7 |
| Architecte IA/ML | AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services AWS Professional Services is seeking an AI/ML Architect to help Canadian Public Sector clients adopt and implement ML and Generative AI solutions. The role involves understanding business challenges, designing and building ML/GenAI solutions using AWS services, and collaborating with engineering teams to bring them to production. | AgentServe | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. The role involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | Agent | 7 |
| Software Development Engineer, GenAI Software Development Engineer role focused on productizing Generative AI experiences for advertisers at Amazon Advertising. The role involves building customer-facing features, designing and deploying scalable distributed services, and working with various AI technologies like diffusion models, LLMs, computer vision, and reinforcement learning. It requires strong full-stack coding expertise and an understanding of AI agent concepts. | Agent | 7 |
| Applied Scientist Manager, Tax Engine Manage and mentor a team of scientists and engineers focused on applying AI/ML, including language models, for tax classification and calculation within Amazon's global Tax Engine platform. The role involves improving team processes, balancing experimentation with delivery, and partnering with stakeholders to build roadmaps for new products and services, with a focus on predictive and generative AI applications. | Post-trainAgent | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. This involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | AgentServe | 7 |
| Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development from weeks to hours using GenAI. | Agent | 7 |
| Technical Program Manager III, AWS Prototyping and AI Customer Engineering (PACE) Technical Program Manager for AWS PACE team, focusing on accelerating AI innovation for customers by building Generative AI and Agentic AI prototypes. The role involves end-to-end ownership of customer engagements, partnering with architects and designers, and working with technologies like LLMs, RAG, and autonomous agents. The TPM will apply Amazon's Working Backwards methodology, manage risks, and ensure responsible AI practices and production readiness. | Agent | 7 |
| Software Development Manager, Offers Platform, Catalog Systems, ASCS Software Development Manager leading a team to build next-generation offer diagnostic and insight capabilities, focusing on AI agents and autonomous shopping experiences within Amazon's large-scale catalog systems. The role involves defining the agentic diagnostic paradigm and owning critical Tier-1 aggregation services. | AgentServe | 7 |
| Sr Applied Scientist, Private Brands Discovery This role focuses on designing and building machine learning solutions to enhance customer awareness and product discovery for Amazon's Private Brands. It involves end-to-end project management from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will work closely with engineering and business teams to solve complex problems and drive measurable business impact. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Generative AI and LLM capabilities into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reducing latency, and influencing operational excellence for audio services. It also includes mentoring junior engineers and contributing to hiring efforts. | ServePost-train | 7 |
| Machine Learning Engineer, Amazon Customer Service Machine Learning Engineer at Amazon Customer Service focused on building and scaling Generative AI solutions to improve customer experiences and empower associates. The role involves end-to-end feature development, integrating LLMs into production systems, and contributing to architectural decisions. | Agent | 7 |
| Manager, AI Platform Engineering , Agent Platform Organization Manager of AI Platform Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for analytics, science, and AI initiatives. The role involves owning delivery and operational health, mentoring a team, and evolving self-service offerings towards agent-driven approaches. The team will build multi-agent solutions to automate data engineering and BI tasks, and develop/deploy agents for analytics use cases like monitoring and anomaly detection. Collaboration with business intelligence, applied science, and product teams is key. | AgentData | 7 |
| Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) Senior Applied Scientist role focused on developing and productionizing media planning models and solutions for Amazon Ads. The role involves leveraging various ML techniques, including deep learning, generative AI, causal inference, NLP, and computer vision, to provide measurement insights and optimize advertising outcomes. It requires collaboration with engineering, product management, and business teams, and includes mentoring junior scientists and engaging with the scientific community. | Ship | 7 |
| Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) This role focuses on developing and implementing innovative media planning and measurement solutions within Amazon Ads. It involves creating end-to-end ML/DL models, from inception to production, to provide insights and recommendations for advertisers. The role requires a strong foundation in ML/DL, experience with productionizing models, and the ability to work with large datasets and collaborate with cross-functional teams. | ShipAgent | 7 |
| Economist I, Promise Economist role focused on leading research, econometric modeling, and analysis to understand customer preferences and inform business operations. This involves developing analytic tools and economic models, including generative AI agents, to determine customer promise by considering inventory, fulfillment, carrier capabilities, customer preferences, and economic impacts. The role requires designing, building, and validating GenAI agents against traditional econometric models and production experiments, with the goal of driving changes in transportation and fulfillment networks. | Agent | 7 |
| Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting PhD student internship focused on applying machine learning, NLP, computer vision, automated reasoning, or robotics to solve complex business problems and deploy solutions into production at Amazon. | Ship | 7 |
| Software Development Engineer, Intellectual Property Protection Software Development Engineer to build and maintain large-scale, low-latency, high-throughput distributed software systems that identify, prevent, and act on product listing abuse on Amazon's catalog, utilizing image processing and machine learning solutions built on AWS. | Serve | 7 |
