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 |
|---|---|---|
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on taking frontier AI products and making them production-grade for enterprise customers. This involves solving integration complexities, data readiness, and state management for agentic workflows, and acting as a feedback loop to product teams. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on bridging frontier AI products with production-grade reality for enterprise customers. Responsibilities include leading development of agentic workflows, architecting integrations, building evaluation and observability pipelines, and acting as a feedback loop for product roadmap. Requires experience with GenAI, foundation models, RAG, and cloud platforms, with a focus on deploying AI systems into complex customer environments. |
| AgentServe |
| 9 |
| Forward Deployed Engineer, Google Cloud Forward Deployed Architect for Google Cloud's Generative AI team, focused on building and deploying reference agentic solutions for enterprise customers. This role involves integrating AI models with customer infrastructure, addressing data readiness and state management, and developing evaluation and observability frameworks. The position also acts as a feedback loop to the product roadmap. | AgentServe | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship and strategic alignment with Product, Engineering, and Sales leadership. | Agent | 8 |
| Software Engineer, AI Application and Agentic Development Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools. | AgentServe | 8 |
| 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 |
| Software Engineer, Android User Experience, Pixel Software Engineer role focused on integrating AI models into the Android User Experience for Pixel devices, specifically for an attention management feature. Responsibilities include designing and implementing the AI feature, optimizing performance and latency in collaboration with hardware teams, and building the application UI. | Agent | 7 |
| Software Engineer, Engineering Productivity, Pixel Tools Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions. | Agent | 7 |