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 |
|---|---|---|
| Software Engineer, Apps, Pixel Software Engineer role focused on building AI-native experiences for Pixel apps, integrating Gemini and agentic engineering principles into the Android ecosystem. The role involves end-to-end development of both Android and server components, with a strong emphasis on partnering with AI/ML teams to leverage cutting-edge model capabilities and create personalized, innovative user experiences. | AgentServe | 7 |
| Software Engineer, Generative AI Agent, Pixel Quality Software Engineer role focused on building AI-powered quality infrastructure for Pixel devices. The role involves driving innovation, end-to-end ownership, and cross-functional collaboration, with a specific emphasis on generative AI agents and agentic workflows. | Agent |
| 7 |
| Software Engineering Manager, XR Engineering Productivity Software Engineering Manager for XR Engineering Productivity, focusing on building AI tools and agents to optimize developer workflows, triage bugs, and perform RCA. The role involves managing engineers, setting expectations, developing automated test frameworks, and optimizing system-level performance, with a focus on the convergence of AI and XR. | AgentData | 7 |