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 |
|---|---|---|
| AI Solution Architect AWS is seeking an AI Specialist Solution Architect to guide customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, crafting scalable architectures, and providing expert advice on security, cost, performance, and operational efficiency for AI/ML projects. The architect will also contribute to AWS's roadmap by sharing customer needs and creating technical content like whitepapers and reference architectures. | AgentServe | 8 |
| Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Senior Deep Learning Architect focused on implementing and fine-tuning Generative AI solutions for AWS customers, involving customer interaction, solution design, experimentation, and providing guidance on adoption and best practices. The role bridges customer needs with technical implementation and feedback to product teams. |
| ShipPost-train |
| 8 |
| Sr. Data Analytics SA, WWSO This role focuses on designing and building "agent-ready" data platforms that enable AI agents to autonomously search, process, and analyze data. It involves advising customers on modern data strategies including RAG, semantic search, and natural language data exploration, while also leveraging traditional data analytics, search, and streaming services. The role requires deep technical expertise in the data lifecycle and adjacent domains like ML and security, with a strong emphasis on cloud-native and generative AI-native reference architectures. | AgentData | 7 |
| Senior AI Solution Architect This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI/ML and Agentic technologies. The architect will build technical relationships, provide architectural guidance on security, cost, performance, and operational efficiency, and act as a voice of the customer internally. Responsibilities include crafting scalable architectures, creating technical content, and leading deep dives and workshops. The role requires experience in designing and implementing production AI systems, including LLMs, multi-modal FMs, fine-tuning, inference, RAG, FM evaluation, Vector DBs, Agentic workflows, and MLOps, with hands-on experience in AWS ecosystems like Bedrock, AgentCore, and SageMaker. Experience in regulated environments is preferred. | Agent | 7 |