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, Amazon Search Applied Scientist role focused on building machine learning models for Amazon Search, developing new ranking features, and improving the ML framework for training and offline evaluation. The role involves designing, developing, and implementing production-level code for billions of search requests, with an emphasis on low-latency predictions and high throughput systems. | Ship | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and deploying computer vision and machine learning systems for Amazon's global fulfillment network. The role involves end-to-end ownership of systems that provide vision-based insights for item identification, defect detection, and decision-making in manual and robotic operations, supporting downstream business processes and flagship devices. | Ship |
| 7 |
| Prototyping Architect, PACE AWS Solutions Architect role focused on prototyping with Agentic AI, Machine Learning, Deep Learning, Generative IA, IoT, and Serverless Architectures. The role involves architecting and developing solutions to demonstrate the art of the possible to customers, with a focus on rapid, time-boxed prototyping engagements. | Agent | 7 |
| Applied Science Manager , Stores Foundation AI (SFAI) Manager for a team working on LLM and/or VLM post-training and alignment for new personalized shopping experiences, leveraging customer behavioral data. | Post-trainAgent | 7 |
| Applied Scientist II, Sponsored Products Marketplace Intelligence Applied Scientist II role at Amazon Ads focused on building production ML and bandit solutions to customize the Sponsored Products search experience. The role involves determining ad placement, quantity, and targeting using machine learning, causal inference, and optimization techniques. It emphasizes improving shopper discovery and advertiser reach by modeling shopper responses and optimizing ad allocation and ranking on the search page, with a recent focus on integrating LLMs/GenAI for production use cases. | ShipServe | 7 |
| Expert Consultant- STEM (Contract), AGI - Data Services This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines, ensuring data quality for LLM training and evaluations. The consultant will collaborate with AI teams, optimize data collection, and develop benchmarks for GenAI model performance. | DataEval Gate | 7 |
| Sr. Software Dev Engineer, Amazon Leo OISL Senior Software Engineer to lead a team building the operational backbone of a satellite laser communication network. The role involves architecting and delivering mission-critical tools and services for network operations, including systems that leverage machine learning and generative AI for anomaly detection, root cause analysis, and impact prediction. The engineer will also lead automation initiatives, collaborate with cross-functional teams, and mentor junior engineers. | Agent | 7 |
| Senior Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Delivery Consultant (GenAI FullStack SDE) at AWS Professional Services, focusing on building end-to-end Generative AI applications for enterprise customers. The role involves full-stack development, designing and implementing AI agent architectures, and leveraging AI-powered development tools. The primary focus is on delivering solutions using AWS services, with a secondary emphasis on the underlying inference infrastructure. | AgentServe | 7 |
| Data Scientist, Amazon FinAuto - Lantern Data Scientist role focused on building AI/ML-powered procurement applications using machine learning, NLP, and predictive analytics. The role involves designing, developing, and deploying models and data pipelines, translating business requirements into data-driven solutions, and impacting daily operations for Amazon's global workforce. | Ship | 7 |
| Applied Scientist, Amazon Transportation Applied Scientist role focused on building machine learning and optimization models for Amazon's large-scale transportation planning systems, including dynamic pricing and network planning. The role involves designing, building, and implementing scalable products and algorithms within production systems, with a focus on external freight and marketplace operations. | Ship | 7 |
| Software Dev Engineer II, AWS Elemental Inference Software Development Engineer II on the AWS Elemental Inference team, focused on building and shipping production code for AI-driven video processing systems. The role involves translating research into scalable services, improving performance, and implementing MLOps best practices for AI-enhanced systems. | ServeData | 7 |
| Sr. Applied Scientist, PXT Central Science This role focuses on building causal predictive models that go beyond traditional forecasting, integrating modern machine learning techniques like LLMs and computer vision to understand and predict workforce outcomes. The scientist will write production-quality code for implementation into decision-making tools, bridging causal rigor with ML innovation. | Agent | 7 |
| Senior Applied Scientist, Amazon Q Developer Science The Senior Applied Scientist will build AI-based services for Amazon Q Developer, focusing on redefining developer work. This role involves building AI agents and machine learning models, working closely with software engineers to deliver end-to-end modeling solutions, and driving discussions with customers and peers on modeling approaches. The work is expected to require scientific breakthroughs in ambiguous problem areas. | Agent | 7 |
| Sr. Data Scientist, Alexa Connections This role focuses on developing and deploying machine learning models for communication experiences within Alexa. Responsibilities include end-to-end model development, experimentation, and leveraging LLMs to build applications, aiming to improve customer engagement and product performance. | Agent | 7 |
| Software Dev Engineer, Alexa Connections Software Development Engineer role at Amazon Alexa Connections, focusing on integrating generative AI and machine learning into communication features to enhance customer experiences. The role involves designing and building scalable, fault-tolerant systems for AI/ML workloads, including Gen AI inference and training pipelines, within an agile environment. | ShipServe | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer role focused on building agentic APIs and integrating advanced AI systems (Generative, Agentic, Real-time AI) into Alexa's communication features, aiming for low latency, high reliability, and scalability. | Agent | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer role focused on building agentic APIs and integrating advanced AI technologies (Generative, Agentic, Real-time AI) into Alexa's communication features. The role involves influencing product strategy, optimizing for low latency and scalability, and ensuring high-quality software delivery within an Agile environment. | Agent | 7 |
| Data Scientist, Alexa Connections This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers. | Agent | 7 |
| Applied Scientist, Central Machine Learning Applied Scientist role focused on using machine learning and statistical techniques to create and deploy advanced algorithmic systems for optimizing business operations and customer value within Amazon's consumer businesses. The role involves end-to-end ownership of business problems, from data analysis and model development to real-time implementation and scaling. | Serve | 7 |
| Applied Scientist, Books Reading & Discovery Experiences Applied Scientist II role focused on enhancing book reading and discovery experiences at Amazon by building models and/or agentic systems. Responsibilities include research, design, implementation, and delivery of novel solutions, collaborating with cross-functional teams, and writing production-ready code. Requires experience in programming languages and SQL, with a preference for publications at top-tier conferences. | Agent | 7 |
| Software Engineer II, Search Science Data Infra Software Engineer II, Search Science Data Infra at Amazon, focusing on building and managing ML training data pipelines, feature stores, and infrastructure for Amazon Search. This role involves working with big data, distributed systems, and AWS AI services to support ML model training and inference for search ranking, matching, and personalization. | DataServe | 7 |
| Software Dev Engineer II, Customer Service Security Software Development Engineer II on the Customer Service Application Security team at Amazon. This role focuses on building innovative security solutions using Generative AI and LLMs to automate security processes, improve security posture, and increase developer productivity. The engineer will architect and develop native AWS solutions, including prompt engineering, security frameworks, and threat detection mechanisms, to create paved path solutions for developers. | Agent | 7 |
| Sr. Software Development Manager, Compliance Safety Services Lead a team building and scaling AI-powered compliance automation solutions using ML and LLMs for document processing at Amazon scale. Focus on driving technical strategy, developing advanced systems, and managing engineering and science teams. | Agent | 7 |
| Software Development Engineer, Amazon Photos Software Development Engineer role focused on building and scaling foundational services for computer vision and AI capabilities within Amazon Photos. The role involves architecting and developing solutions for processing large volumes of photo and video data, optimizing ML model serving infrastructure, and collaborating with ML scientists to productionize models. | Serve | 7 |
| Mgr SecEng, AGI/AI Security This role is for a Security Engineering Manager within Amazon's AGI organization, focusing on securing Generative AI technologies. The manager will lead a team of security engineers and technical program managers to address novel security challenges like prompt injection, model poisoning, and data leakage. Key responsibilities include setting strategic direction for GenAI security processes, influencing stakeholders, developing team culture, and driving the adoption of GenAI-specific security practices and tooling. The role requires staying current with emerging GenAI security threats and mentoring team members. | Agent | 7 |
| Principal DevAx Solutions Architect, AGS Tech Field LATAM PACE This role focuses on accelerating customer adoption of AI/Agentic applications by helping them build and scale solutions using AWS services like Amazon Bedrock and Frontier Agents. The Principal DevAx Solutions Architect acts as a trusted advisor, guiding customers through the full AI development lifecycle and influencing AWS service roadmaps based on customer needs and market trends. | Agent | 7 |
| Software Development Engineer, Sidewalk Cloud, Sidewalk Cloud Software Development Engineer role focused on building core cloud services for Amazon's Sidewalk network, with a significant emphasis on developing and integrating generative AI solutions to enhance operational efficiency, automate debugging, improve testing, and generate documentation. The role also involves building AI-powered support systems for device behavior analysis and triage, creating AI-assisted development tools, and designing AI-driven analytics for service health monitoring. | Agent | 7 |
| Software Dev Engineer Intern, OpenSearch, 2026 Shanghai Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems. | AgentServe | 7 |
| Software Development Engineer , Amazon Robotics (AR) Sortation Planning Software Development Engineer role focused on designing, developing, and deploying full-stack robotic planning, tracking, and workcell solutions using AWS and AI-driven sortation optimization. The role involves building software for sortation at scale, improving safety, and optimizing package flow and fleet orchestration through ML-powered algorithms and intelligent systems. | Agent | 7 |
| Principal Software Development Engineer, Compliance & Safety Services Principal Software Development Engineer to architect and drive technical strategy for regulatory compliance and product safety, leading AI-powered initiatives to automate compliance workflows at massive scale. The role involves leading Zero-Touch Compliance, Unified Content Processing Pipeline, and Compliance Assist (conversational AI agents). | Agent | 7 |
| Applied Scientist I, Search Relevance International Applied Scientist role focused on building and deploying machine learning models for Amazon's Product Search, with an emphasis on developing new ranking features, ensuring low-latency predictions, and scaling systems to handle billions of search requests. The role involves full development cycle ownership, from design and implementation to A/B testing and production deployment, leveraging academic research and contributing to the search experience in new and existing markets. | ServePost-train | 7 |
| Principal Technical Program Manager, Ads Core AI Infra This role leads strategic programs for Amazon Ads' AI infrastructure core services that accelerate agentic AI development. The TPM will define and execute the agentic AI core infra product roadmap, drive agent builder adoption, and ensure the core services scale to support multi-agent workflows and production-grade reliability for advertiser-facing and internal agents. | Agent | 7 |
| Software Dev Engineer II, TSE Ops Tech Software Development Engineer II role focused on building AI-powered systems for compliance and safety in e-commerce, integrating generative AI with traditional software engineering. The role involves developing AI systems for product safety assessment, catalog management, and seller safety, requiring experience in AI model deployment and scalable architectures. | AgentServe | 7 |
| Applied Scientist, Amazon Kids Personalization Applied Scientist role focused on designing and deploying state-of-the-art recommendation models for Amazon Kids+. The role involves research into customer behavior, model development, and production deployment, with a focus on personalization for children's content across various devices. It emphasizes building and shipping AI-powered products to millions of customers. | Ship | 7 |
| Applied Scientist Manager, Worldwide Returns & ReCommerce Manager for an Applied Scientist team focused on optimizing the returns and re-commerce process using ML, NLP, and Information Retrieval. The role involves managing scientists and engineers, developing ML models for business applications, and building scalable software systems. | Ship | 7 |
| Software Dev Engineer, AWS Identity Analytics Platform Software Development Engineer role focused on building and operating the data platform infrastructure for an AI-driven analytics platform at AWS Identity. This involves designing and managing ingestion, transformation, and serving pipelines for petabyte-scale data to feed ML models and LLM agents. The role also includes productionizing ML models, building feature engineering infrastructure, and ensuring platform resilience and scalability. | ServeData | 7 |
| Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability. | ShipAgent | 7 |
| Security Consultant - GenAI, AWS GenAI Innovation and Delivery This role focuses on delivering secure Generative AI solutions to enterprise customers, acting as both a security leader and hands-on practitioner. It involves conducting security assessments, architecting and implementing security controls for GenAI applications, and building reusable security patterns and accelerators. The role also involves developing innovative GenAI-powered security solutions and contributing to thought leadership. | ShipAgent | 7 |
| Senior Applied Scientist, AWS Marketplace Discovery Senior Applied Scientist role focused on developing AI-powered Discovery systems for AWS Marketplace, specializing in personalization, search, and recommendation systems. The role involves leading research, design, and development, translating scientific techniques into scalable solutions, and mentoring other scientists. It aims to accelerate cloud migrations and support partner growth. | ShipAgent | 7 |
| Applied Scientist II, Books Science (Reading & Discovery) Applied Scientist II on the Amazon Books team focused on enhancing reading and discovery experiences by building and delivering AI models or agentic systems. Responsibilities include research, design, implementation, and collaboration with engineering teams to productionize solutions. Requires experience in building models, programming, and a strong understanding of algorithms and data structures. | Agent | 7 |
| Applied Scientist , TSI Science Applied Scientist role focused on building and deploying end-to-end machine learning solutions to prevent eCommerce fraud and manage transaction safety within Amazon's production environment. The role involves innovating with GenAI/LLM/VLM technologies, analyzing large datasets, and creating automated risk evaluation and operational systems. | Ship | 7 |
| Applied Scientist, Prime Video - Title Lifecycle Presentation Applied Scientist role at Amazon Prime Video focused on building machine learning systems for content presentation and discovery. The role involves working with multi-modal embeddings, contextualized ranking, reinforcement learning, and recommender systems to improve customer engagement with the Prime Video catalog. | Ship | 7 |
| Senior AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations This role focuses on the operational excellence and reliability of a fleet of ML accelerators and server products, specifically Amazon's Trainium chips. The engineer will be responsible for debugging hardware and software issues, developing automation, analyzing fleet data, and ensuring the health and performance of the ML hardware infrastructure. This is an engineering role focused on the operational aspects of serving ML hardware. | Serve | 7 |
| Applied Scientist, Vertical Search This role focuses on building and improving machine learning models for Amazon's vertical search, specifically developing new ranking features and techniques. The scientist will be responsible for the full development cycle, from design and implementation to A/B testing and production deployment, aiming to enhance search quality and effectiveness across Amazon's product ecosystem. | Ship | 7 |
| Applied Scientist II, Search Relevance International Amazon Search team is looking for an Applied Scientist II to build machine learning models for Product Search, develop new ranking features, and implement production-level code for search systems. The role involves owning the full development cycle from design to deployment and A/B testing, with a focus on customer experience and scalability. | Ship | 7 |
| Senior Data Engineer, WW FBA Central Analytics Senior Data Engineer role focused on building and maintaining data infrastructure for AI-powered insights within Amazon's Fulfillment by Amazon (FBA) division. The role involves architecting data lakes, migrating architectures, establishing metadata management, designing data ingestion patterns, creating a centralized metrics repository, implementing data quality frameworks, designing semantic data models optimized for AI retrieval, developing intelligent orchestration, implementing federated query capabilities, architecting vector database infrastructure, integrating AI-accessible data contracts, and building monitoring frameworks. The position emphasizes the intersection of data engineering and AI, ensuring trustworthy, fast, and scalable GenAI insights. | AgentData | 7 |
| Applied Scientist II, Seller Fee Science This role focuses on applying machine learning and AI to predict and reconcile product measurements for Amazon's third-party marketplace, impacting fee strategy and seller experience. The scientist will design, develop, and deploy AI/ML models, working closely with engineering and product teams to productionize solutions and validate their business impact through rigorous experimentation. | Ship | 7 |
| Software Development Manager, Ads Agent Fabric (Ads AI Core Infrastructure) Software Development Manager leading a team to build and deliver core infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, development tools, and a managed runtime, focusing on scalability, low-latency, and integration with Ads services and foundational models. The role bridges distributed systems, ML infrastructure, and developer tooling. | AgentServe | 7 |
| Senior Data Scientist, MAPLE - Recommender System Develops and deploys data-driven models for shopping personalization and recommendation systems, leveraging GenAI techniques and causal machine learning. Focuses on improving customer experience through supervised and uplift learning, A/B testing, and harnessing large-scale data. The role involves publishing research and mentoring junior scientists. | Ship | 7 |
| Sr. Robotics Software Engineer, Amazon Robotics This role involves architecting, designing, and implementing robotic software applications and infrastructure, with a focus on integrating machine learning models and optimizing system performance for Amazon's robotic systems. The engineer will collaborate with various teams to deliver end-to-end robotic solutions. | Agent | 7 |
