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. Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE) Sr. Prototyping Architect for AWS PACE team, building functional Generative AI and Agentic AI prototypes with customers using AWS AI services. Focus on architecting, developing, and guiding customers through complex technical decisions on LLMs, agent design patterns, and AI adoption strategies, with a path to production. | Agent | 8 |
| Sr. Specialist Solution Architect - AI, AWS Mexico Commercial Senior Specialist Solutions Architect for AI at AWS Mexico, focusing on architecting enterprise-grade AI/ML and generative AI solutions for C-suite executives. Requires deep technical experience in ML, GenAI, and agentic capabilities, including LLM customization, fine-tuning, inference optimization, agentic frameworks, RAG, and prompt engineering, with a focus on delivering measurable business outcomes and adhering to governance and compliance standards. | Agent |
| 7 |
| Business Intelligence Engineer, Supply Chain Data Science This role focuses on designing and delivering AI-native data architectures and business intelligence solutions for supply chain operations, integrating with AI agents to provide self-service analytics and automated insights. The engineer will own cloud infrastructure strategy, technical budget optimization, and architect data pipelines for GenAI consumption, ensuring scalability and extensibility across global operations. | Agent | 7 |
| Sr. Startup Solution Architect, GenAI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models at scale. The individual will act as a trusted advisor, architecting solutions, supporting adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Senior Generative AI Solutions Architect, LATAM Cloud AI and Innovation This role focuses on designing and implementing generative AI solutions for enterprise customers in Mexico, leveraging AWS technologies. The Senior Generative AI Solutions Architect will guide customers on AI architecture, security, data governance, and operational best practices, while also creating technical artifacts, workshops, and content. Key responsibilities include architecting solutions for multi-agent orchestration, RAG, and chat-based assistants, and helping customers navigate regulatory frameworks and achieve production readiness. | Agent | 7 |