Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery Amazon is seeking Applied Scientists to build software and machine learning models for customer discovery experiences, focusing on ranking, recommendations, and computer vision. The role involves developing and deploying state-of-the-art models, including text-to-image and image-to-text, to enhance customer engagement with the Amazon catalog. | Ship | 8 |
| Applied Scientist II, Amazon Business, Amazon Business - GTMO Science Applied Scientist II role at Amazon Business focused on revolutionizing sales productivity using AI-powered solutions. The role involves developing tools for Account Executives (AEs) to prioritize accounts, recommend products, and engage customers more effectively. It leverages machine learning and Generative AI to outreach customers based on their behavior and purchase history, and performs text mining on customer conversations to recommend solutions. The scientist will partner with product, tech, and sales teams to launch and scale global AI products, with a focus on improving customer experience and sales efficiency. |
| AgentData |
| 8 |
| Applied Scientist II, Amazon Business, Amazon Business - GTMO Science Applied Scientist II role at Amazon Business focused on revolutionizing sales productivity using AI-powered solutions. The role involves developing tools for Account Executives (AEs) to prioritize accounts, recommend products, and engage customers more effectively. It leverages machine learning and Generative AI to outreach customers based on their behavior and purchase history, and performs text mining on customer conversations to recommend solutions. The scientist will partner with product, tech, and sales teams to launch and scale global AI products, with a focus on improving customer experience and sales efficiency. | AgentData | 8 |
| Machine Learning Engineer, Amazon Tablets ML Engineer role focused on building and deploying AI/ML products for Amazon Tablets, specifically enhancing customer engagement through personalized recommendations and content ranking. The role involves end-to-end ML pipeline development, MLOps, and leveraging deep learning, LLMs, and generative AI for on-device experiences. It emphasizes shipping customer-facing ML solutions at Amazon scale. | ShipServe | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on developing and deploying 1P audience segments for Amazon's EU marketing campaigns, using causal inference and machine learning to measure incremental lift and optimize marketing spend. The goal is to move beyond platform-led optimization to more personalized customer experiences, building reusable frameworks for scalable experimentation and informing future marketing strategies. | Agent | 7 |
| Software Dev Engineer Machine Learning Software Development Engineer Machine Learning role focused on improving video and audio streaming experience for smart home devices. The role involves optimizing ML/AI frameworks for real-time inference, optimizing training pipelines, analyzing model performance, and leveraging GenAI tools for development productivity. It requires experience with video/image processing, computer vision, machine learning, and cloud computing, with a focus on scalable services and distributed systems. | Serve | 7 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models for logistics operations, aiming to enhance route planning, scheduling, and delivery execution. The analyst will leverage advanced SQL, Python/R, and AI technologies to create intelligent dashboards, predictive models, and automated reporting systems, working at the intersection of operations, analytics, and automation to drive efficiency and scale across the network. | Agent | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves owning the data lifecycle and building multi-agent solutions to automate data engineering tasks, with contributions to the shared data platform. | AgentData | 7 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers in EU marketplaces. The role involves developing custom models (embeddings, persona matching) using Python and Spark, building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI) for marketing teams. It also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns. | AgentData | 7 |
| Applied Scientist, EU INTech Consumer Selection Discovery, Tamale Applied Scientist role focused on building GenAI-powered data solutions, agentic systems for quality issue detection, and ranking/recommendation models for e-commerce. The role involves designing, developing, testing, and deploying scalable ML solutions, working with state-of-the-art models like LLMs and image-to-text. | AgentServe | 7 |
| Sr. Applied Scientist, Amazon Books This role focuses on developing and implementing novel algorithms and agentic systems at the intersection of AI, LLMs, NLP, search, and deep learning for the Amazon Books team. The goal is to advance the state-of-the-art and build technologies that enhance customer discovery experiences for millions of users. | Agent | 7 |
| Senior Software Development Engineer, Discovery Tech Senior Software Engineer to lead the design and evolution of AI-driven systems for generating, selecting, and optimizing marketing and merchandising assets at scale across Amazon worldwide. The role involves building systems that automatically produce and adapt images, text, and multimodal content, balancing creative flexibility, brand constraints, and performance. It requires end-to-end ownership across model integration, distributed services, and measurement frameworks, with a focus on architectural leadership and mentoring. | ShipAgent | 7 |
| Software Development Engineer, Ring Software Development Engineer role focused on building backend systems for Ring devices, with an emphasis on low-latency and high-uptime. The role involves designing, implementing, and testing distributed systems and microservices, with a secondary mention of leveraging generative AI tools for development productivity. | — | 5 |
| Software Development Engineer, RBKS DSO EU Software Development Engineer role focused on backend systems for consumer devices (Ring), emphasizing low-latency, high-uptime systems and iterative development. The role involves leveraging generative AI tools to improve development processes. | — | 5 |
| Data Engineering Manager, Ring Agent Platforms Manager of Data Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The team will build multi-agent solutions to automate data engineering tasks and use generative AI tooling daily. The role involves partnering with BI, applied science, and product teams, and contributing to shared platform infrastructure. | AgentData | 5 |
| Software Development Engineer (Java&AWS), Ring Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services. | — | 5 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on building measurement and experimentation frameworks for lifecycle marketing campaigns within Amazon's EU Prime and Marketing Analytics & Science (PRIMAS) team. The scientist will design and execute experiments to measure campaign effectiveness, establish experimental standards, and apply causal inference methods to guide marketing strategy and investment decisions. The role involves working with various marketing channels and platforms, analyzing results, and providing optimization recommendations. | Ship | 5 |
| System Engineer, Managed Operations System Engineer for AWS Managed Operations, focusing on building, operating, and evolving teams for the European Sovereign Cloud (ESC). Responsibilities include overseeing operations, collaborating with global teams, and ensuring high availability of services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. | — | 0 |
| Systems Engineer, Managed Operations This role is for a Systems Engineer on the AWS Managed Operations team, focusing on building, operating, and evolving operations for the European Sovereign Cloud (ESC). The role involves ensuring high availability and performance of AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers, with responsibilities including overseeing operations, collaborating with global teams, contributing to service evolution, and participating in on-call rotations. The focus is on operational excellence and scalability of cloud services. | — | 0 |
| AMOC Area Maintenance Manager, AMOC Area Maintenance Manager This role manages maintenance operations for Amazon's global facilities, focusing on monitoring, predicting performance issues, and planning maintenance activities. It involves leading a team, developing business strategies, and optimizing digital maintenance systems for remote monitoring of building infrastructure and cold rooms. | — | 0 |
| Systems Engineer/DevOps Eng, ESC Managed Operations This role is for a Systems Engineer/DevOps Engineer focused on building, operating, and evolving the European Sovereign Cloud (ESC) for AWS. It involves ensuring high availability, reliability, and performance of core AWS services for EU customers, with a strong emphasis on automation and operational excellence. The role requires collaboration with global AWS teams and occasional on-call rotations. | — | 0 |
| Software Development Engineer, EU INTech - EUIC - Tamale Software Development Engineer role focused on building and scaling software and ML models for Amazon's EU INTech customer discovery experience, involving ranking, computer vision, and recommender systems. | — | 0 |
| Sr Software Development Engineer, Amazon Business, Buy Journey Senior Software Development Engineer role focused on building and improving the buy journey for Amazon Business customers. This involves designing scalable software architecture, delivering personalized experiences using machine learning and data engineering, and applying software engineering best practices. The role emphasizes technical leadership, system design, and operational excellence within a fast-paced environment. | — | 0 |
| Software Developer Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for diverse languages, cultures, and regions. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies and machine learning. | — | 0 |
| Software Developper Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for multi-lingual and multi-cultural user experiences. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies including machine learning. | — | 0 |
