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 Engineering Manager III, GenAI, Google Cloud Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, hiring, identifying skill gaps, and collaborating with product/engineering. Focus on enterprise-grade AI maturity, leveraging Google Cloud's AI portfolio and Vertex AI platform. | AgentServe | 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud (English, Portuguese) This role involves building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will act as an embedded builder, addressing integration, data, and state management challenges, and providing feedback to product teams. Responsibilities include developing agentic workflows, architecting integrations, building evaluation pipelines, and identifying product improvements. |
| AgentServe |
| 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud This role involves leading the development and deployment of AI applications, specifically agentic solutions, within customer environments on Google Cloud. The engineer will bridge the gap between AI products and production systems, focusing on integration, data readiness, and state management. Responsibilities include architecting and coding connective tissue, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and Python, with a preference for experience in multi-agent systems and LLM-native metrics. | AgentServe | 9 |
| 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 transitioning prototypes to production, integrating AI products with customer infrastructure, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in building production-grade AI solutions, applied AI with a focus on systems around pretrained models (prompt engineering, fine-tuning, RAG, tool orchestration), and cloud platform deployment. | AgentServe | 9 |
| Senior Software Engineer, Applied AI/ML, CSP Senior Software Engineer role focused on Applied AI/ML within the Content Safety Platform at Google. The role involves technical leadership, designing and developing large-scale software solutions, and optimizing ML infrastructure. Key responsibilities include safeguarding users from harmful content, influencing technical direction, mentoring engineers, and leading the implementation of ML solutions, model optimization, and data processing strategies. Experience in speech/audio, reinforcement learning, or other ML fields, along with ML infrastructure experience, is required. | ServePost-train | 8 |
| Senior Software Engineer, Agentic Ecosystem Platform Senior Software Engineer to drive technical direction and architecture for an Agentic Ecosystem Platform. This role involves designing, developing, and scaling infrastructure for agentic operations, integrating with third-party and first-party systems. The engineer will build reliable platforms powering next-generation capabilities across major Google products, partnering with cross-functional teams to define strategy and best practices. Responsibilities include developing implementations on generalist models, designing tool orchestration, leading technical delivery of integrations, and mentoring engineers. | Agent | 8 |
| Software Engineering Manager II, AI Productivity Software Engineering Manager II for Google's AI Productivity team, focusing on internal AI products like go/sqlminer and go/agentflux. The role involves technical leadership, people management, and architecting solutions at the intersection of Generative AI, SQL pipelines, and AI agent evaluations, with a focus on integrating LLM capabilities and evolving agent evaluation pipelines. | AgentEval Gate | 8 |
| Forward Deployed Developer III, Generative AI, Google Cloud (English, Portuguese) This role involves acting as an embedded builder for Google Cloud, developing and deploying bespoke agentic AI solutions within customer environments. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, and vector databases, with a focus on transitioning AI from prototypes to production-grade agentic workflows. | AgentServe | 8 |
| Forward Deployed Engineer II, Applied AI, Google Cloud (English, Portuguese) Forward Deployed Engineer II for Google Cloud's Applied AI team, focusing on transforming conversational AI prototypes into production-ready, scalable, and secure agentic workflows for enterprise customers. This role involves end-to-end engineering, building Eval pipelines, and collaborating with customer teams. | AgentServe | 8 |
| Senior Software Engineer, Applied AI/ML, CSP Senior Software Engineer role focused on Applied AI/ML within the Content Safety Platform at Google. The role involves technical leadership, designing and developing large-scale software solutions, and optimizing ML infrastructure. Key responsibilities include safeguarding users from harmful content, influencing technical direction, mentoring engineers, and leading the implementation of ML solutions, model optimization, and data processing strategies. Experience in speech/audio, reinforcement learning, or other ML fields, along with ML infrastructure experience, is required. | ServePost-train | 8 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer II to build and deploy agentic AI solutions within customer environments. This role involves transitioning prototypes to production-grade workflows, architecting integrations, building evaluation and observability pipelines, and providing feedback to product teams. The ideal candidate has experience with Python, ML packages, applied AI, RAG, fine-tuning, and cloud platforms, with preferred experience in multi-agent systems and LLM optimization. | AgentServe | 8 |
| Senior Software Engineer, Information Agents Senior Software Engineer role focused on building the Electric Platform for Google's Information Agents, enabling proactive assistance through "informational journeys" and autonomous agents within Search and AI Mode. Responsibilities include designing multi-thread agent architecture, browser-use capabilities, and managing research signals for user-facing features. The role aims to redefine the Search stack by delegating complex information needs to autonomous agents, ensuring scalable delivery and high-quality, concise updates. | Agent | 7 |
| Software Engineer, Agentic Ecosystem Platform Software Engineer to build and scale core components of Google's Agentic Ecosystem Platform, focusing on third-party integrations and expanding to first-party systems. The role involves designing, developing, and maintaining infrastructure for agentic operations, translating technical requirements into reliable solutions that integrate across major Google products. Responsibilities include contributing to infrastructure design, building domain-specific features leveraging generalist models, executing tool orchestration, writing code for cross-product compatibility, and ensuring adherence to data governance policies. | Agent | 7 |
| Software Engineer III, Agentic Ecosystem Platform Software Engineer to build and scale core components of Google's Agentic Ecosystem Platform, focusing on third-party integrations and supporting agentic operations across major Google products like AIM and Gemini. The role involves designing, developing, and maintaining robust infrastructure for agentic operations, translating technical requirements into reliable solutions, and enhancing system scalability. | Agent | 7 |
| Staff Software Engineer, AI/ML, Contextual Suggest Staff Software Engineer at Google working on AI/ML for Contextual Suggest, focusing on recommendation systems, ML infrastructure, and integrating AI breakthroughs into user-facing features and backend systems for Google Search. The role involves technical leadership, design, implementation, and deployment of models in production. | ShipServe | 7 |
| Senior Software Engineer AI/ML, Content Safety Applications Senior Software Engineer focused on building and scaling AI/ML infrastructure for content safety applications, including classifiers and generative AI experiences. The role involves the full lifecycle from data acquisition to deployment and maintenance, with a focus on protecting users from harmful content. | ServeAgent | 7 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer specializing in Generative AI for Google Cloud, focusing on advising enterprise clients, developing AI solutions, conducting proofs-of-concept, and guiding the implementation of scalable AI applications. Requires strong technical, communication, and programming skills, with experience in agentic AI frameworks and integrating AI APIs. | Agent | 7 |
| Staff Software Engineer Staff Software Engineer at Google, leading a team to build the foundational text and multimodal understanding layer for AI relevance, grounding, and factuality in search experiences. The role involves people management and direct technical contributions to entity grounding systems and evaluation frameworks. | AgentEval Gate | 7 |
| Cloud AI Consultant II, Professional Services (English) This role involves consulting with customers to develop, deploy, and manage custom AI/ML solutions in production using Google Cloud technologies. The consultant will provide technical project management and guidance, working with client executives and technical leaders, as well as internal specialists and partners. | ShipAgent | 7 |
| Senior Software Engineer, AI/ML, Search Platforms Senior Software Engineer focused on AI/ML within Google Search Platforms, responsible for designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development and testing. Requires experience in software development, ML infrastructure, and specialized ML areas like speech/audio or reinforcement learning. | Serve | 7 |
