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 |
|---|---|---|
| Sr Risk Manager, Amazon Business Payments & Lending The Sr. Risk Manager will drive the strategy and performance of lending portfolios within Amazon Business Payments & Lending. This role involves product management, data analytics, and portfolio strategy, with a unique focus on leveraging and shaping an AI Agent for portfolio management. Responsibilities include defining metrics, identifying trends, driving strategic initiatives, cross-functional leadership, data-driven innovation, and operational excellence, all while working with a generative AI tool to automate analysis and generate insights. | Agent | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. |
| Agent |
| 7 |
| Applied Scientist II, Amzn Shipping-Prd & Tech Applied Scientist II at Amazon Shipping focused on building production-quality ML models for transportation logistics. This role involves improving package movement planning and execution by addressing challenges in cost auditing, financial data quality, delivery delay prediction, and first-mile shipping cost reduction. The scientist will utilize various ML paradigms, ensure scalability across regions, and contribute to the ML community through publications and mentorship. | Agent | 7 |
| Software Development Engineer, Amazon Ads Software Development Engineer role focused on applying Generative AI and LLMs to enhance Amazon Ads, improving ad retrieval, allocation, and recommendations for a personalized shopping experience. The role involves building large-scale distributed systems and data pipelines, collaborating with scientists and product managers, and driving operational excellence. | AgentServe | 7 |
| Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science This role is for an AI Platform Builder, a Data Engineer focused on developing Platforms and Agentic AI solutions. The role involves designing, implementing, and maintaining data pipelines and platforms that power AI/ML initiatives, using AI for code generation, optimization, and building AI-native self-service data platforms. It emphasizes prompt-driven development and creating self-improving systems. | AgentData | 7 |
| Sr. Data Scientist, Amazon Pay Data Products Senior Data Scientist at Amazon Pay to lead innovation in machine learning and artificial intelligence solutions, focusing on multi-agent systems and Generative AI applications. The role involves end-to-end ML project leadership, MLOps pipeline development, and deployment of ML solutions, with a secondary focus on inference infrastructure. | AgentServe | 7 |
| Senior Software Development Engineer, Luna Gen AI Senior Software Development Engineer role focused on building Gen AI native games and gameplay experiences, and enhancing internal team productivity through agentic solutions. The role involves architecting, developing, and operating infrastructure for proprietary and third-party models, building intelligent agents, and optimizing AI solutions for performance and cost. It also includes leading internal GenAI adoption and ensuring enterprise-grade security and responsible AI. | AgentServe | 7 |
| Senior SDE, Luna Gen AI Senior Software Development Engineer to join the Gen AI & Strategic Initiatives team for Amazon Luna. The role involves architecting and building next-generation tools and platform infrastructure to support proprietary and third-party AI models, enabling Gen AI native games and enhancing internal team productivity through agents. Responsibilities include driving platform architecture, building scalable API infrastructure, launching cross-functional agents, optimizing performance, supporting developer experience, implementing observability, designing throttling systems, ensuring security and compliance, and driving operational excellence. | Agent | 7 |
| Sr. AI ML Consultant, Tech & Industry, Tech & Industry This role involves designing, implementing, and managing AWS solutions, with a focus on AI/ML and GenAI models. The consultant will act as a trusted advisor to customers, providing technical expertise and guidance on cloud journeys, including migrating to AWS and deploying production-grade ML solutions. The role requires hands-on experience with building, validating, and deploying GenAI models, as well as serving ML models through real-time APIs. | AgentServe | 7 |
| Software Development Engineer III, Annapurna Labs Software Development Engineer III at Amazon Annapurna Labs, focusing on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Inferentia and Trainium). The role involves solving complex technical problems, designing and implementing innovative software solutions, and working with external and internal customers to identify adoption obstacles and opportunities in the Generative AI space. | Agent | 7 |
