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 |
|---|---|---|
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety within Amazon. The role involves evaluating existing algorithms, designing new ones, generating synthetic data, and potentially using active learning and grounding LLMs for business use cases. Collaboration with engineers and product managers is key, with an emphasis on publishing research. | Post-trainData | 8 |
| Applied Scientist, Amazon Compliance and Safety Services Research Scientist role focused on applying and extending state-of-the-art research in NLP, multi-modal modeling, domain adaptation, continuous learning, and large language models to improve product compliance and safety at Amazon. The role involves researching and evaluating algorithms, designing new algorithms for business impact (e.g., synthetic data generation, active learning, grounding LLMs), and collaborating with engineering and product teams to implement ML solutions across the product catalog. The team specializes in image and document understanding for compliance capabilities, with a focus on publishing research. |
| Post-train |
| 8 |
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety at Amazon. The role involves evaluating state-of-the-art algorithms, designing new ones, generating synthetic data, and improving grounding of LLMs for business use cases. It requires collaboration with engineers and product managers, and publishing research. | Post-trainData | 8 |
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety at Amazon. The role involves evaluating state-of-the-art algorithms, designing new ones, generating synthetic data, and improving grounding of LLMs for business use cases. It requires collaboration with engineers and product managers, and publishing research. | Post-trainData | 8 |
| Sr. Software Development Manager, Compliance Safety Services Lead a team building and scaling AI-powered compliance automation solutions using ML and LLMs for document processing at Amazon scale. Focus on driving technical strategy, developing advanced systems, and managing engineering and science teams. | Agent | 7 |
| Principal Software Development Engineer, Compliance & Safety Services Principal Software Development Engineer to architect and drive technical strategy for regulatory compliance and product safety, leading AI-powered initiatives to automate compliance workflows at massive scale. The role involves leading Zero-Touch Compliance, Unified Content Processing Pipeline, and Compliance Assist (conversational AI agents). | Agent | 7 |
| Sr Software Dev Engineer, Customer Behavior Analytics This role focuses on building and operating Amazon's customer behavior analytics and targeting systems, specifically inventing and scaling agentic analytics and targeting. The goal is to create an AI-powered content targeting ecosystem where human and AI agents collaborate, driving efficiency across the entire lifecycle. The role involves building at scale, ensuring customer experience, safety, security, data integrity, and implementing correctness and accuracy measurements and guardrails for agentic actions. | Agent | 7 |
| Senior Technical Program Manager - Security Products, IAM - SEL The Senior Technical Program Manager will drive the scoping and delivery of projects for Security Products, focusing on Access Policy Management systems and applying Machine Learning for abuse detection. The role involves identifying stakeholders, setting roadmaps, managing delivery, and bridging technical gaps across multiple Amazon organizations. | Agent | 5 |
| Cloud Operations Architect , AWS Enterprise Support CEE Role is for an AWS Cloud Operations Architect focused on helping enterprise customers maximize value from AWS services. This involves crafting and executing adoption strategies, providing architectural advice, and ensuring operational health while reducing cost and complexity. The role partners with customers to understand their needs and challenges, drives technical discussions, and collaborates with various AWS teams. | — | 0 |