Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, Health Data Foundations and Analytics Staff Software Engineer on the Health Data Foundations and Analytics team at Google, focusing on organizing and transforming health and fitness data to support AI innovation. The role involves technical leadership, software development, and integrating generative AI tools and LLMs into workflows. This position is crucial for high-impact projects within Google Health, aiming to improve personal health outcomes globally. | Data | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. |
| Data |
| 5 |