Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
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 |
|---|---|---|
| Senior Software Engineer, Speech MLOps Senior Software Engineer focused on MLOps for speech synthesis and GenAI experiences, involving building and maintaining ML infrastructure for the entire lifecycle on AWS. | ServePost-train | 8 |
| Senior Security Engineer, AI Red Team, Threat Operations Senior Security Engineer for an AI Red Team, focusing on offensive security operations, research, and automation for AI systems and infrastructure. Responsibilities include conducting Red Team operations, performing security research on AI threats, discovering vulnerabilities, developing automated tools, and collaborating with engineering and research teams to improve AI security posture. | Agent |
| 7 |
| Software Development Engineer (Java/AWS), Alexa AI Software Development Engineer (Java/AWS) for Alexa AI team, focusing on building and delivering innovative consumer software products and industry-leading conversational assistant capabilities. The role involves owning large-scale customer-facing features, designing and architecting innovative consumer products, and contributing to the core runtime orchestration platform for conversational agents using LLMs and Gen AI. | AgentServe | 7 |
| Principal Solutions Architect, CEE Enterprise, FSI Principal Solutions Architect for AWS, focusing on financial services in Central Eastern Europe. The role involves leading technical strategy, architecting and implementing cloud solutions, and guiding customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. Key responsibilities include designing scalable, secure, and compliant architectures, championing innovation with agentic architecture patterns and AI-SDLC methodologies, and translating business challenges into cloud-native solutions. The role also involves thought leadership, mentoring other Solutions Architects, and contributing to the AWS knowledge base. | Agent | 7 |
| Software Development Engineer, Ring Cloud Computer Vision Software Development Engineer role focused on building and scaling AI-powered computer vision cloud services for Ring consumer electronics, serving tens of millions of users globally. Responsibilities include product definition, design, development, deployment, and operations of highly available and resilient cloud services. | Serve | 7 |
| Software Development Engineer, Alexa AI Software Development Engineer role focused on building and delivering consumer-facing conversational assistant features using advanced LLM techniques like fine-tuning and prompt optimization for Alexa AI. | Post-train | 7 |