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. GenAI Specialist SA , Solutions Architecture Senior Specialist Solutions Architect focused on Generative AI at AWS. This role involves working with enterprise customers to design and implement production-ready GenAI solutions, including LLM-powered applications, agentic systems, and multi-modal AI. Responsibilities include technical advisory, hands-on implementation guidance, solution design, and customer engagement, with a focus on converting AI ambition into scalable, production-ready solutions. | AgentServe | 8 |
| Sr. GenAI Specialist SA, Solutions Architecture Senior Specialist Solutions Architect for Generative AI at AWS, focusing on helping enterprise customers build and scale production-ready GenAI solutions. This role involves technical advisory, hands-on implementation guidance, and solution design for LLM-powered applications, agentic systems, and multi-modal AI. Requires deep expertise in model selection, fine-tuning, RAG, agentic workflows, MLOps, and inference optimization, with a strong emphasis on shipping GenAI solutions in real-world settings. |
| AgentServe |
| 8 |
| Software Development Engineer, Ring AI Software Development Engineer on the AI Infrastructure Team at Ring, focusing on cloud services for machine learning operation pipelines that handle large-scale data and enable rapid model development and optimization. | Data | 7 |
| Data and AI Architect , Professional Services - Taiwan This role is for a Data and AI Cloud Architect on the AWS Professional Services team in Taiwan, focusing on the manufacturing and semiconductor industries. The architect will design and implement modern data platforms, analytics solutions, and AI/ML workloads on AWS, acting as a trusted technical advisor to enterprise customers. Key responsibilities include leading architecture design, building end-to-end data architectures, architecting AI/ML solutions using AWS services like SageMaker and Bedrock for industry-specific use cases, collaborating with stakeholders on data strategies, mentoring junior consultants, and developing reusable assets. The role also involves partnering with AWS teams, contributing to thought leadership, and staying current with data engineering, analytics, and generative AI trends. Basic qualifications include experience conveying technical concepts, a relevant degree or equivalent experience, 8+ years in data/cloud architecture with 5+ years on AWS, deep expertise in data platform technologies (Python, SQL, Spark, Scala), and fluency in Mandarin and English. Preferred qualifications include experience with large-scale transformation programs, domain expertise in manufacturing/semiconductor industries, knowledge of Industry 4.0, experience with generative AI architectures (RAG, fine-tuning, agents), and familiarity with Taiwan's data privacy regulations. | AgentData | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI/ML solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions, focusing on use cases like predictive maintenance and yield optimization. Experience with generative AI architectures, RAG, fine-tuning, and AI agents is preferred. | AgentData | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions using AWS services, with a specific emphasis on generative AI architectures like RAG, fine-tuning, and AI agents. The role involves collaborating with stakeholders, mentoring junior architects, and developing reusable assets. | AgentData | 7 |
| Sr. Software Development Engineer, Ring AI (Edge AI) Senior Software Development Engineer focused on developing and deploying edge AI solutions with a specialization in computer vision for consumer devices. The role involves designing and implementing efficient edge AI architectures, collaborating with applied science and cloud teams, and optimizing system performance. | ServePost-train | 7 |
