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 |
|---|---|---|
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud This role focuses on taking conversational AI prototypes and transforming them into production-ready, scalable, and secure AI systems for enterprise customers. The FDE will lead technical delivery for Conversational AI pilots, establish customer user journeys, and architect/code agentic workflows, evaluation pipelines, and observability frameworks. The role requires strong software engineering, ML operations, and cloud infrastructure skills, with an emphasis on building full-stack applications that integrate with enterprise IT. |
| AgentServe |
| 8 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
| Data Scientist, Chrome Data Scientist for Chrome responsible for defining success metrics, designing testing environments, and launching intelligent features that enhance user experience by anticipating user intent and streamlining tasks. The role involves leveraging advanced statistical and machine learning techniques to pioneer behavioral insights and experimentation frameworks for AI capabilities and agentic experiences. | AgentEval Gate | 7 |
| Software Engineer III, AI Powered Rust Software Engineer III role focused on building and leveraging AI, specifically agentic workflows, to automate the migration of C/C++ codebases to Rust. The role involves optimizing AI-generated code, implementing verification workflows, and designing multi-agent harnesses for code translation and analysis. | Agent | 7 |
| Software Engineer, AI Powered Rust Software Engineer role focused on building and leveraging AI, specifically agentic workflows and multi-agent systems, to automate the large-scale migration of C/C++ code to Rust. The role involves designing evaluation strategies for AI-generated code, optimizing the output, and collaborating with AI and programming language teams. | Agent | 7 |