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 |
|---|---|---|
| Forward Deployed Engineer, Generative AI, Google Cloud (Korean, English) This role focuses on deploying and building generative AI solutions, specifically agentic systems, within customer environments on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, coding, debugging, and shipping bespoke solutions. Responsibilities include architecting integration, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, vector databases, and ideally multi-agent systems. | AgentServe | 9 |
| Forward Deployed Engineer, Gen AI, Google Cloud Forward Deployed Engineer for Google Cloud's Gen AI offerings, focusing on integrating and productionizing AI systems (especially agentic workflows) for enterprise customers. This role involves managing integration complexities, data readiness, and state management, acting as a bridge between frontier AI and production reality, and providing feedback to the product roadmap. |
| AgentServe |
| 9 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (English, Korean) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy agentic solutions within customer environments. Focuses on technical mentorship, strategic alignment, and resolving production obstacles using Google's AI portfolio and Vertex AI platform. | Agent | 8 |
| AI Customer Engineer, Google Cloud (Korean, English) Customer Engineer specializing in Gemini Enterprise, partnering with technical Sales teams to integrate Generative AI into complex enterprise environments. Focuses on architecting robust, secure, and data-connected solutions, blending sales, market knowledge, and technical engagement to prove the value of Google Cloud's AI portfolio. | Agent | 7 |
