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 |
|---|---|---|
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying production-grade agentic AI solutions with strategic partners on Google Cloud. It focuses on integrating AI into customer environments, addressing production blockers, and providing feedback to Google's product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and mentor partner teams. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, GenAI Google Cloud GenAI Forward Deployed Engineer (FDE) role focused on building and deploying production-grade agentic AI solutions within customer environments. The role involves coding, debugging, integrating AI products with customer infrastructure, and building evaluation/observability pipelines. It also acts as a feedback loop to Google's product roadmap. |
| AgentServe |
| 9 |
| Forward Deployed Engineer III, Gen AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer III, Gen AI, to build and deploy bespoke agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products, addressing production blockers, and providing feedback to product roadmaps. Responsibilities include developing AI applications, architecting integrations, building evaluation pipelines and observability frameworks, and co-building with customer teams. | AgentEval Gate | 9 |
| Forward Deployed Engineering Manager, Gen AI Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with product and sales, and resolving production-level obstacles like data readiness, integration, and state management to achieve enterprise-grade AI maturity. | Agent | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud This role involves building and deploying bespoke agentic AI solutions within customer environments using Google Cloud's AI portfolio, including Gemini models and Vertex AI. The engineer will address integration, data readiness, and state management challenges, architect connective tissue between AI products and customer infrastructure, build evaluation pipelines, and provide feedback to the product roadmap. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. | AgentServe | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. Acts as a feedback loop to product roadmap and deploys AI systems. | AgentEval Gate | 8 |
| Forward Deployed Engineering Manager, Gen AI Manager of a GenAI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, strategic alignment with Product, Engineering, and Sales, and resolving production-level obstacles like data readiness, integration, and state management. The role involves leading technical hiring, identifying skill gaps in emerging AI tech, and collaborating with product/engineering to translate field insights into roadmaps. | Agent | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing challenges in integration, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to the product roadmap. | AgentEval Gate | 8 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, identifying new AI use cases, and resolving technical blockers to accelerate customer time-to-value. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Customer Engineer AI, Financial Services, Google Cloud Customer Engineer specializing in Gemini Enterprise, partnering with Technical Sales to integrate generative AI into enterprise environments. The role involves architecting secure, data-connected solutions beyond chat interfaces, engaging with customers to understand requirements, and presenting solutions on Google Cloud. It requires blending business expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud's AI portfolio. | Agent | 7 |
| Practice Customer Engineer, Artificial Intelligence, Google Cloud Customer Engineer specializing in Gemini enterprise, focusing on integrating Generative AI into enterprise environments by architecting secure, data-connected solutions using agents and patterns like RAG. The role involves technical consultation, solution architecture, and driving adoption of Google Cloud AI. | Agent | 7 |
| Solutions Architect, Google Forge, Google Cloud This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. It involves technical leadership, customer engagement, and guiding customers through the implementation of AI models, including fine-tuning and RAG. | AgentPost-train | 7 |