Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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.
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 |
|---|---|---|
| Senior Software Developing Manager, ML Infrastructure, Core Infra Senior Software Development Manager for ML Infrastructure within Core Infra at Google, focusing on GenAI projects. The role involves leading teams, setting technical direction, and contributing to system design and code for GenAI-focused initiatives, including model deployment, evaluation, and fine-tuning. | ServePost-train | 8 |
| Software Developer III, Full Stack Software Developer III, Full Stack at Google, focusing on building and maintaining the mission-critical fraud detection system for Google Ads. The role involves developing infrastructure for ML model deployment, supporting modelers with new models (including LLMs), and ensuring real-time, low-latency, high-availability requirements for fraud detection at scale. This position requires collaboration with partner teams for comprehensive anti-abuse solutions. |
| ServeData |
| 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management Senior Technical Program Manager role focused on managing critical infrastructure capacity for Google Cloud Applied AI (AAI) products, including agent-based solutions and Gemini Enterprise. The role involves designing and operationalizing capacity planning processes, collaborating with cross-functional teams, and ensuring resource constraints do not hinder program velocity for enterprise customers. | ServeAgent | 7 |