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. Product Manager, Alexa Canada Senior Product Manager for Alexa Canada, focusing on expanding Alexa's presence in the Canadian market. This role involves defining user needs, creating product roadmaps, understanding market dynamics (including emerging AI/ML), developing requirements, leading cross-functional teams, owning the customer experience, tracking launches, managing trade-offs, monitoring performance, and working closely with engineering. The role requires technical depth to evaluate AI model behavior and technical approaches, and a proactive exploration of new AI capabilities like large language models and agentic AI. | Agent | 7 |
| Senior Program Manager, Intellectual Property Protection Senior Program Manager to drive ML-powered brand protection detection systems at Amazon, focusing on end-to-end program lifecycle, root cause analysis of false positives, and translating findings into engineering specifications. The role involves partnering with applied scientists and engineering teams to improve detection accuracy and scale solutions globally. |
| Eval Gate |
| 7 |
| AI Principal Product Manager - Technical, Amazon Customer Service Principal Product Manager - Technical for Amazon Customer Service, focusing on end-to-end lifecycle of large-scale AI products. The role involves defining strategy, driving execution, and collaborating with cross-functional teams on Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures to improve customer experience. | Agent | 7 |
| Technical Program Manager III, AWS Prototyping and AI Customer Engineering (PACE) Technical Program Manager for AWS PACE team, focusing on accelerating AI innovation for customers by building Generative AI and Agentic AI prototypes. The role involves end-to-end ownership of customer engagements, partnering with architects and designers, and working with technologies like LLMs, RAG, and autonomous agents. The TPM will apply Amazon's Working Backwards methodology, manage risks, and ensure responsible AI practices and production readiness. | Agent | 7 |