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 |
|---|---|---|
| Delivery Consultant- AI/ML, WWPS ProServe Delivery Team This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and provide technical guidance throughout the project lifecycle. | Post-trainAgent | 7 |
| Director, Engineering Redshift, Analytics Engines Director of Engineering for Amazon Redshift's core query processing engine, focusing on SQL analytics for humans and AI agents at massive scale. The role involves defining technical strategy, leading a global team, and driving innovation in areas like AI-driven scaling, serverless processing, and natural-language analytics integration. | Agent |
| 7 |
| Software Development Engineer II, Selling Partner Trust & Compliance Software Development Engineer II on the Selling Partner Trust team at Amazon, building systems and AI-powered experiences to make selling on Amazon clearer, fairer, and more trustworthy. The role involves leveraging foundation models, building harnesses and pipelines for seller issue resolution, and working on GenAI-powered seller experiences at scale, including retrieval, output evaluation, and safety guardrails. | Agent | 7 |
| Sr Data Scientist, Amazon - Vertical Ads Seeking an experienced Sr Data Scientist to drive innovation in Amazon's Ads Foundational Model. This role involves developing and deploying ML models using computer vision, NLP, and deep learning to enhance ad effectiveness and customer experience, leveraging Amazon's data to create predictive models and actionable recommendations for advertising solutions. | Ship | 7 |
| Sr. Software Development Engineer, Guidance & Personalization Senior Software Development Engineer role focused on building AI-native systems for advertising personalization and guidance. The role emphasizes explainable AI, multi-agent coordination, and real-time ML inference within a large-scale distributed systems context, integrating LLM-powered agents into production workflows. | AgentServe | 7 |
| Senior Product Manager - Technical, Audible Fraud Defense Senior Technical Product Manager for Audible's Fraud Defense team, owning product strategy and roadmap for fraud prevention and anti-piracy capabilities. This role involves defining and driving technical product strategy to combat evolving threats in creator fraud, customer fraud, and content piracy, working closely with engineering, data science, legal, and security teams. | Agent | 7 |
| Sr. Applied Scientist, Global Hiring Science This role focuses on applying machine learning and AI to reinvent the hiring process at Amazon, aiming for scale, sophistication, and accuracy in talent acquisition. The scientist will work on state-of-the-art research, advanced software tools, new AI systems, and ML algorithms, leveraging Amazon's tech stack to deliver innovative solutions for hiring. | Ship | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Machine Learning Engineer, Neuro-Symbolic AI Labs Machine Learning Engineer responsible for designing the training and data pipeline strategy for ARG's ML efforts. | Data | 7 |
| Applied Scientist II, Amazon Search Applied Scientist II role focused on developing and improving large-scale machine learning systems for Amazon Search, specifically in ranking, reinforcement learning, and LLMs to enhance the customer shopping experience. The role involves building systems that generate content and assemble coherent page experiences, directly impacting millions of customers. | ShipServe | 7 |
| Applied Scientist, SCOT Forecasting and Labs - CIV Team Applied Scientist role focused on developing and prototyping new statistical, causal, and machine learning techniques for inventory availability and delivery speed estimations in Amazon's retail supply chain. The role involves collaborating with software teams for production implementation and analyzing business metrics. | Post-train | 7 |
| Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. The role involves defining technical vision, advising senior executives, establishing architectural standards, and driving AI-native delivery transformations, including agentic AI systems, governance, and responsible AI practices. | AgentServe | 7 |
| Principal Delivery Consultant – Data, Professional Services, AWSI HCLS This role is for a Principal Delivery Consultant at AWS Professional Services, focusing on Healthcare and Life Sciences (HCLS) transformation programs. The consultant will act as a technical leader, defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. The role involves advising senior customer executives, driving cross-team alignment, and championing responsible AI practices. A key focus is on AI-Native Delivery Transformation, including implementing AI-DLC methodologies and managing multi-agent systems at scale. | AgentServe | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the healthcare and life sciences sector. The goal is to transform raw data into governed, AI-ready assets that support AI/ML model training and agentic AI systems, with a strong emphasis on regulatory compliance. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the healthcare and life sciences sector. The goal is to transform raw data into governed, AI-ready assets that support AI/ML model training and agentic AI systems, with a strong emphasis on regulatory compliance. | DataAgent | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer role focused on building agentic services and 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 agent frameworks. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team is working on an AI-first initiative to improve search using foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Software Development Engineer, Amazon Shopping Software Development Engineer to architect, design, and develop agentic services and applications powered by large language models for Amazon Shopping. The role focuses on building expertise in online service architecture, API development, and distributed systems for responsive agentic AI applications at scale, including service orchestration, agent frameworks, and real-time processing. The goal is to establish best practices, enable new agentic AI features, and contribute to the technical roadmap for intelligent agents that reason, plan, and execute complex tasks. | Agent | 7 |
| Software Dev Engineer II, Alexa for Shopping Software Development Engineer II role focused on developing generative AI for shopping on Amazon, involving design and implementation of stable and efficient training systems for model training and reinforcement learning, collaboration with applied scientists and engineers to improve training efficiency and reliability, and design/implementation of scalable data infrastructure for Amazon-scale data ingestion, processing, and delivery across training and evaluation stages. Requires ML and LLM fundamentals. | DataPost-train | 7 |
| Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS Principal Delivery Consultant for AWS Professional Services in Healthcare and Life Sciences (HCLS), focusing on large-scale AI/ML and data platform modernization. This role involves defining technical vision, setting architectural standards, advising senior executives, and driving AI-native delivery transformation. The consultant will establish operational foundations for agentic AI, including governance, observability, guardrails, and orchestration, while championing responsible AI practices. | Agent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, and knowledge graphs to enable AI agents and foundation models within the healthcare and life sciences industry. The consultant will work with complex data, regulatory requirements, and legacy systems to deliver production-grade data products for AI/ML model training and agentic systems. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, and knowledge graphs to enable AI agents and foundation models to reason accurately within regulated healthcare environments. The goal is to ship production-grade data products for ML model training and agentic orchestration. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, data pipelines, and enterprise RAG architectures within the Healthcare and Life Sciences (HCLS) sector. The goal is to transform raw data into governed, AI-ready assets that support downstream applications like ML model training and agentic AI systems, all within regulated environments. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS Senior Delivery Consultant specializing in Data for AWS Professional Services within the Healthcare and Life Sciences (HCLS) practice. The role focuses on building the data layer for AI-ready organizations, including designing and implementing modern data platforms, architecting data pipelines, and creating enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs. The consultant will work within regulated HCLS customer environments with complex data lineage and regulatory overlays, shipping production-grade data products for downstream consumers like ML model training and agentic orchestration. | DataAgent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs. The goal is to enable foundation models and AI agents to reason accurately and execute autonomously within regulated healthcare and life sciences environments. The role involves shipping production-grade data products for ML model training and agentic orchestration layers. | DataAgent | 7 |
| Senior Delivery Consultant – Modernization, Professional Services, AWSI HCLS Senior Delivery Consultant for AWS Professional Services focusing on 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 establishing enterprise architecture, providing executive technical advisory, driving cross-team alignment, architecting AI/ML and data solutions, and transforming delivery models using AI-native methodologies and multi-agent systems. | AgentServe | 7 |
| Sr. Applied Scientist- P13N Amazon is seeking an Applied Scientist to build next-generation ML systems for personalization in their e-commerce platform. The role involves applying state-of-the-art science and research, including Generative AI, LLMs, transformers, sequence models, and reinforcement learning, into production to enhance customer shopping experiences. The scientist will work on large-scale machine learning systems, leverage petabytes of data, and contribute to the science roadmap of personalization. | Ship | 7 |
| Software Development Engineer, Health & Wellness, Health Tech Software Development Engineer role focused on architecting and implementing ML systems for health initiatives, integrating genomic, proteomic, and clinical data. The role involves building high-throughput pipelines, low-latency inference services for biological foundation models, and productionizing ML models for tasks like neoantigen prediction, with a strong emphasis on collaboration with researchers and biologists in an early-stage environment. | ServePost-train | 7 |
| Software Dev Engineer II, Enterprise Security Products Software Development Engineer II role focused on building AI-powered security products for enterprise customers. The role involves owning the full lifecycle of large-scale, multi-tiered distributed systems, leveraging agentic AI development practices, and engineering end-to-end full-stack experiences. Key responsibilities include designing and implementing intelligent systems like agentic architectures and conversational interfaces, using AI tools to accelerate development, and partnering with researchers and product managers. The team emphasizes startup speed with Amazon scale, building AI and building with AI. | Agent | 7 |
| Delivery Consultant- AI/ML, WWPS ProServe Delivery Team This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and optimize performance. The role involves a blend of customer advisory, technical implementation, and solution architecture. | ShipPost-train | 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining vision, roadmaps, driving execution, and partnering with cross-functional teams on AI capabilities including Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 7 |
| Sr. Applied Scientist, Silk Senior Applied Scientist role at Amazon Silk team focused on building AI-powered browsing experiences. This role involves defining and developing the future of web browsing using LLMs, generative AI, recommender systems, and NLP to create intelligent, personalized, and useful consumer software experiences. The position requires leading research, designing scalable AI solutions, driving data analysis, and collaborating with engineering teams to bring ML innovations to production, impacting millions of users. | Ship | 7 |
| Principal Technical Program Manager, Ad Measurements Science This role is for a Principal Technical Program Manager at Amazon Ads, focused on driving AI initiatives within the Ads Measurement Science team. The role involves managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, with a focus on AI tools like an Analyst Agent and a Customer Journey Model. The TPM will work across Product, Science, and Engineering to ensure successful execution and delivery of these strategic initiatives. | Agent | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Software Development Engineer II role focused on building the platform and infrastructure for AI agents and skills within Amazon's builder experience. The role involves designing and developing scalable services, APIs, and systems for agent access to internal resources, and implementing benchmarking and prompt trace analysis for quality improvement. The goal is to integrate GenAI into the daily workflows of thousands of Amazon engineers. | Agent | 7 |
| Software Development Manager, Healthcare AI Software Development Manager for AWS Healthcare AI, leading teams to build innovative AI-powered healthcare solutions using generative and agentic AI to transform clinical and administrative workflows. Focus on improving patient care and operational efficiency. | ShipAgent | 7 |
| Applied Scientist II, SCOT OSS - Sourcing Execution & Performance This role focuses on building agentic GenAI workflows for supply chain optimization, specifically for vendor coaching, evaluation, and collaborative inventory planning. It involves developing and deploying algorithms, collaborating with engineering teams on training and inference pipelines, and driving technical standards. | Agent | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed improvements to pricing algorithms for billions of Amazon products, leveraging large-scale multi-modal datasets and predictive modeling, causal evaluation, and optimization techniques. | Ship | 7 |
| Applied Scientist, Amazon Precision Match The Applied Scientist will design, develop, and optimize ML-based matching algorithms for a high-scale customer service routing system. This involves feature engineering, running simulations and A/B tests, building real-time inference systems, and developing retraining infrastructure. The role focuses on connecting customers with the best service options using recommendation and real-time ML inference techniques. | AgentServe | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - Agentic Conversations Software Development Engineer II role focused on building the infrastructure layer for managing agentic conversations and AI capabilities at Amazon scale. This involves designing and building scalable platform services for AI skills, agents, and tool integrations, developing APIs for autonomous agents, and creating systems for measuring agent quality and driving improvements. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Senior Applied Scientist, Sponsored Products and Brands -- Offsite Senior Applied Scientist role focused on building and launching end-to-end AI solutions for Sponsored Products and Brands, specifically extending campaigns beyond the Amazon store to third-party environments. The role involves designing and implementing large-scale, low-latency systems using advanced ML and AI, conducting A/B experiments, and identifying opportunities for GenAI acceleration. It also includes defining science vision, mentoring junior scientists, and staying updated on the latest modeling techniques. | Ship | 7 |
| Principal Product Mgr - Tech, Alexa 3P Experiences Principal Product Manager - Tech for Alexa+ 3P Experiences, focusing on defining the vision, roadmap, and features for conversational AI experiences leveraging LLMs and spoken language technologies. The role involves enabling internal teams and external partners to create engaging Alexa experiences, with a strong emphasis on developer platforms and ecosystems. The goal is to expand third-party capabilities on Alexa+ at massive scale. | Agent | 7 |
| Sr. Data Scientist , Companion Product & Servi (ComPAS) Senior Data Scientist to build advanced ML models and AI-powered tools for pricing, marketing, and consumer science within Amazon's Companion Products & Services portfolio. The role involves full model lifecycle ownership, leveraging generative AI and LLMs to automate insights and workflows, and designing experiments to measure impact. The goal is to create intelligent, self-improving systems for decision science at scale. | Agent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, HCLS This role focuses on designing and implementing cloud architectures for Healthcare & Life Sciences customers, with a significant emphasis on leveraging AI/ML and Generative AI. The Solutions Architect will build prototypes, proofs of concept, and reference architectures, and educate customers on AWS capabilities. The role requires staying current on emerging AI/ML technologies and translating that knowledge into actionable guidance. | Agent | 7 |
| Applied Scientist, Tallent Intellgience This role focuses on building and deploying AI systems and machine learning models to optimize Amazon's global campus recruiting process. Key responsibilities include developing models for school recommendations, talent supply projections, and matching candidates to requisitions. The role involves creating data-driven models for sourcing strategies and recruiter decision-making, developing supply forecasting and school ranking algorithms, and leading the development of AI systems for automation and strategy recommendations. It also includes planning and implementing controlled experiments to test and optimize these systems. | AgentData | 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role focused on developing and deploying generative AI solutions for Amazon's Sponsored Products and Brands advertising business. The role involves building monetization and optimization systems, defining science roadmaps, conducting A/B experiments, and staying updated on the latest modeling techniques. Requires experience in building models for business applications and digital advertising technology. | Ship | 7 |
| Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering This role focuses on building and operating AWS cloud infrastructure for AI training and inference, specifically targeting generative AI and large language models. The engineer will be responsible for designing, delivering, and optimizing server hardware and software systems to enable high performance and scalability for AI/ML workloads, with a focus on price-performance improvements. The role involves creating automation through agentic workflows and implementing AI-driven tools to enhance engineer productivity and influence AI implementation and core architecture. | Serve | 7 |
| Applied Scientist, WHS Data-Tech Applied Scientist role focused on developing and deploying computer vision and ML models for workplace safety applications in industrial settings. The role involves designing, training, and productionizing models for tasks like activity recognition, anomaly detection, and risk prediction using video, image, and sensor data. Collaboration with software engineers for deployment and optimization is key, with a focus on real-world impact and measurable safety outcomes. | ShipServe | 7 |
| Senior Applied Scientist , Sponsored Products Senior Applied Scientist role focused on leveraging generative AI and ML to revolutionize advertising experiences within Amazon Ads. The role involves leading full lifecycle ML projects, from research and development to deployment and scaling, with a focus on enhancing customer shopping experiences and driving business monetization through predictive modeling, reinforcement learning, and experimentation. | Ship | 7 |
| Sr Software Development Engineer, Brand Store Shopping Experience Senior Software Development Engineer to build GenAI-powered, agentic shopping experiences on Amazon Brand Stores, integrating conversational AI with traditional browsing. The role involves providing technical leadership, designing and delivering GenAI capabilities, building systems for accuracy and safety, owning scalable low-latency systems, partnering with applied scientists to productionize models, and establishing evaluation frameworks. The focus is on end-to-end ownership from architecture to production operation. | AgentServe | 7 |
