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 |
|---|---|---|
| Sr. Security Consultant - GenAI, AWS GenAI Innovation and Delivery This role is for a Senior GenAI Security Consultant who will embed directly with Forward Deployed Engineering (FDE) teams to build and implement secure GenAI solutions. The focus is on hands-on coding and architecture to ensure security by design, rather than a strategy role. Responsibilities include co-developing solutions, enforcing security standards, architecting and implementing controls, translating requirements into code, and serving as a technical security authority. The role also involves building innovative GenAI-powered security solutions and contributing to thought leadership. | Agent | 8 |
| Data Scientist II, RufusX Science UK This role focuses on developing and optimizing AI-driven conversational shopping experiences using ML, NLP, and multimodal technologies. The Data Scientist will work on agentic systems, information retrieval, recommender systems, and multimodal LLMs to improve customer journeys, analyze experiments, and collaborate on deploying production systems. The role involves handling large-scale data and contributing to both agent capabilities and the underlying inference infrastructure. |
| AgentServe |
| 8 |
| Applied Scientist II, Strategic Account Services (SAS) Applied Scientist II role focused on developing and deploying sophisticated AI solutions for Amazon's Strategic Account Services (SAS) organization, leveraging deep learning, LLMs, and advanced ML techniques to improve seller operations and internal consultancy. The role involves end-to-end development from research to production, including architecting recommendation and optimization systems, pioneering applications of foundation models, and conducting rigorous A/B experiments. | ShipServe | 8 |
| Data Scientist II, Intelligent Talent Acquisition This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent. | AgentServe | 7 |
| Senior Applied Scientist, Insights, Prime Video Senior Applied Scientist role focused on developing machine learning algorithms for high-scale recommendations problems within Prime Video. The role involves designing, prototyping, and integrating ML models into production systems, with a focus on generative AI and large models to reduce operational load and deliver personalized recommendations. | Ship | 7 |
| Software Development Engineer, Rufus on Detail Page Software Development Engineer to build and improve a generative AI-powered shopping assistant (Rufus) for millions of Amazon customers, focusing on product research, comparisons, and recommendations. | Ship | 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, 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 |
| 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 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required. | DataAgent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required. | DataAgent | 7 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required. | DataAgent | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication. | Ship | 7 |