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 Science Manager, Sponsored Products and Brands Applied Science Manager to lead a team building and scaling a prompt generation pipeline for a conversational ad format powered by LLMs. The role involves developing prompt themes, quality frameworks, and driving coverage expansion, with a focus on personalization and experimentation to improve key metrics. Requires strong technical depth in NLP, LLMs, and information retrieval, along with management experience and the ability to influence product strategy. | AgentPost-train | 7 |
| Applied Scientist, Prime Video Applied Scientist role at Amazon Prime Video focusing on leveraging NLP and Computer Vision research to enhance video content understanding and customer experience. The role involves leading research direction, creating roadmaps, and developing models for business applications, with an emphasis on delivering state-of-the-art digital video experiences. |
| Ship |
| 7 |
| Senior Applied Scientist, AWS Central Economics and Science The role focuses on building ML systems with a causal modeling foundation for AWS sales optimization, designing seller incentive mechanisms, and developing intervention strategies. It involves developing rigorous causal measurement and modeling frameworks, designing programs and incentives, and building ML-based recommendation systems. | Agent | 7 |
| Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for AWS's generative AI (GenAI) infrastructure, specifically targeting large-scale model training and inference workloads. The individual will work with key customers (Frontier AI model builders) to accelerate their adoption of AWS services, understand their infrastructure needs, and influence product roadmaps. The role involves business development, customer engagement, evangelism, and collaboration with internal AWS teams. | ServePretrain | 7 |
| Software Development Engineer II, SP-Support-Operations Software Development Engineer II focused on building AI-powered solutions using LLMs to transform Amazon's Seller Support experience by developing scalable services for a next-generation support platform. | 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 |
| Sr. Software Development Engineer, Alexa Connections Senior Software Development Engineer role focused on building agentic APIs and cloud services for Alexa Connections, leveraging Generative, Agentic, and Real-time AI to enhance conversational experiences. The role involves influencing product strategy, optimizing software for performance, and leading integration of AI systems. | Agent | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer focused on building and scaling real-time agentic AI systems for Alexa's communication features, involving design, architecture, and full-stack development. | 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 |
| Principal Product Manager - Technical, Alexa Connections Principal Product Manager, Technical for Alexa Connections, focusing on building AI-native communication experiences using generative AI, LLMs, real-time communications, voice, and GUIs. The role involves strategizing, driving product roadmaps, and launching 0-1 product lines, working cross-functionally with engineering, science, and design teams to deliver delightful customer experiences. | ShipAgent | 7 |
| Sr. Manager, Software Dev, Next-Gen Security Automation The role is for a Senior Manager of Software Development focused on building next-generation Agentic security systems at Amazon. The position involves leading teams to create AI-powered security products from the ground up, working at the intersection of AI and security at a large scale. The manager will collaborate with security, engineering, and science leaders, and shape products that transform business security practices. | Agent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing and launching new AI technologies for personalization in e-commerce, leveraging LLMs, recommendation systems, and information retrieval. | 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 |
| 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 |
| 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, 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 |
| 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 |
| 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 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 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, 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 |
| 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 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying data-driven models for personalized shopping experiences using state-of-the-art recommendation systems and GenAI techniques. The scientist will design, develop, evaluate, and update models, create new signals, use supervised and uplift learning, design A/B tests, and work with large-scale distributed machine learning. The role also involves presenting and publishing research, mentoring junior scientists, and collaborating with business and engineering teams. Experience with causal machine learning and evaluating AI systems is required. | Ship | 7 |
| Applied Scientist, MAPLE - Recommender System Applied Scientist role focused on developing and deploying personalized recommendation systems using state-of-the-art modeling and GenAI techniques for Amazon's consumer shopping experience. The role involves building data-driven models, developing new signals, using supervised and uplift learning, contributing to production code and tooling, designing A/B tests, and publishing research. | Ship | 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 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying personalized recommendation systems for Amazon customers, integrating GenAI techniques, and conducting research. The primary deliverable is a customer-facing AI product. | Ship | 7 |
| Applied Scientist, Amazon Robotics R&D Applied Scientist role focused on researching, designing, and implementing computer vision and decision-making algorithms for robotic systems, with a strong emphasis on integrating machine learning and delivering customer-facing results. The role involves creating experiments, prototyping new algorithms, and collaborating with engineering teams for scalable, real-time implementations, ultimately shipping AI-powered robotic products. | ShipData | 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 |
| Software Development Engineer, Data Integration AI and Platform Excellence (APEX) Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows at Amazon. | Serve | 7 |
| Sr. AI Solution Architect This role is for a Sr. AI Solution Architect at AWS who will work with customers to design and implement production-ready generative AI and agentic AI solutions on the cloud. The role involves building technical relationships, advising on AI/ML adoption, and influencing the product roadmap. | Agent | 7 |
| Data Scientist, Digital Acceleration The Data Scientist, Digital Acceleration role at Amazon focuses on designing and delivering advanced analytics and machine learning models for Amazon's digital businesses. The role involves end-to-end project management, from ideation to deployment, with a strong emphasis on Generative AI solutions and LLMs to enhance data access and solve customer problems within the Digital Acceleration Analytics team. | Agent | 7 |
| Senior Robotics Engineer, Datacenter Robotic Products & Services Senior Robotics Engineer role focused on designing, deploying, and managing advanced robotic systems at scale within AWS data centers. This involves developing robust robotic solutions, collaborating with external partners, and ensuring reliability, efficiency, and scalability. The role requires experience with vision language actuation models and shipping production code. | Agent | 7 |
| Applied Scientist, Core Search This role focuses on building and improving ML-powered search ranking models at Amazon's scale, leveraging large datasets and exploring techniques like reinforcement learning to enhance customer experience. The primary deliverable is the shipped AI product (search ranking system). | Ship | 7 |
| Professional Services II - AMZ8484.11 This role focuses on designing and implementing enterprise-scale Generative AI solutions using AWS services, optimizing performance, and guiding teams in integration. It involves a mix of technical implementation and strategic guidance for AI applications. | Agent | 7 |
| Software Dev Engineer, EC2 Nitro Software Development Engineer to build and optimize performance measurement infrastructure for AI/ML workloads on AWS EC2 Nitro. The role involves low-level systems, ML frameworks, and serving layers to translate performance insights into technical requirements for platform designs. | Serve | 7 |
| Senior Software Dev Engineer, EC2 Nitro Senior Software Development Engineer to build and optimize infrastructure for AI/ML workloads on EC2 Nitro. Focus on performance measurement, benchmarking, regression testing, and influencing future hardware designs for LLMs, multimodal systems, and emerging architectures. Role involves both customer-facing performance problem-solving and foundational infrastructure development. | Serve | 7 |