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 |
| Cloud Engineer, Data and AI, Professional Services, Google Cloud (Multiple Languages) Google Cloud Professional Services role focused on designing and implementing ML solutions for enterprise customers, leveraging Google Cloud products like TensorFlow and Vertex AI. The role involves acting as a trusted technical advisor, providing architecture guidance, deploying solutions, and delivering workshops. | Agent | 5 |
| AI Sales Specialist Manager, Google Cloud (English, Mandarin) This role is for an AI Sales Specialist Manager at Google Cloud, responsible for leading a team to grow the AI business by building customer relationships and driving sales. The role involves working cross-functionally with internal teams and partners to identify AI use cases, articulate solution differentiators, and manage business pipelines to accelerate growth. The ideal candidate has extensive experience in enterprise software/cloud/AI sales, team leadership, and promoting cloud-based IT solutions, with fluency in English and Mandarin. | — | 5 |
| Customer Engineer, Practice AI, Google Cloud Customer Engineer for Google Cloud's Practice AI team, focusing on integrating Generative AI into enterprise environments. This role involves architecting secure, data-connected solutions, understanding customer needs, and demonstrating the value of Google Cloud's AI portfolio. Responsibilities include driving technical wins for Gemini Enterprise, recommending integration strategies, providing technical consultation, and prototyping solutions. Requires experience with cloud-native architecture, search systems, AI model integration patterns like RAG, and coding in relevant languages. | Agent | 5 |