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 |
|---|---|---|
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on frontier AI safety mitigations, defending against misuse domains like CBRNE and Harmful Manipulation. Responsibilities include building evaluations, red-teaming, deploying in-model and out-of-model mitigations, and monitoring risks for frontier models, particularly agentic AI systems. The role involves developing classifiers, monitoring systems, and advancing research in automated red-teaming and adversarial robustness. | AgentEval Gate | 9 |
| Research Engineer, Multi Agent Learning, DeepMind Research Engineer at Google DeepMind focused on developing novel multi-agent learning algorithms and frameworks. The role involves building and maintaining large-scale simulation platforms and research pipelines on cutting-edge infrastructure, partnering with Research Scientists to translate research into production-quality code, and optimizing the research workflow. Requires experience in deep learning frameworks, Python/C++, and distributed training on accelerators. A PhD in ML, RL, or Multi-Agent Systems and experience with language models are preferred. |
| AgentPost-train |
| 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud Forward Deployed Engineer (FDE) at Google Cloud, embedding with customers to build and ship bespoke agentic AI solutions. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Focuses on production-grade agentic workflows, evaluation pipelines, and observability. | AgentServe | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building safety mitigations for frontier AI models, defending against misuse in domains like CBRNE and Harmful Manipulation. Responsibilities include building classifiers, data pipelines, monitoring systems, and evaluating/securing agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness research. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, Generative AI (French, German) Google Cloud is seeking a Forward Deployed Engineer III specializing in Generative AI to lead complex AI application development, transitioning prototypes to production-grade agentic workflows. The role involves architecting the integration between Google's AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying improvements for Google's AI stack. Fluency in French and German is required. | AgentEval Gate | 8 |
| Software Engineer, Applied AI, Agent Building, Google Cloud Platform Software Engineer role focused on applying Google's Generative AI to build, deploy, and optimize AI agents for enterprise customers on the Google Cloud Platform. This role involves direct customer engagement, co-development of conversational AI agents, and contributing to core product improvements. | Agent | 8 |
| Software Engineer, Agent Building, Applied AI, Google Cloud Platform Software Engineer role focused on applying Google's Generative AI to build, deploy, and optimize AI agents on the customer engagement suite (CES) platform for enterprise clients. The role involves direct customer partnership, problem-solving, custom tooling development, and providing feedback to core product teams. | Agent | 8 |
| Senior Technical Program Manager, Customer Engagement, Applied AI Senior Technical Program Manager for Google Cloud Applied AI Solutions Consulting team, focusing on enterprise AI deployments. The role involves leading the delivery of production-ready agentic AI solutions for customers, managing cross-functional teams, defining agent behaviors, and ensuring technical roadmaps align with business goals. This includes overseeing the implementation of evaluation pipelines and monitoring agent health using specialized dashboards. | Agent | 8 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focusing on helping enterprise customers adopt and integrate Generative AI solutions, including architecting applications and agentic systems on Google Cloud Platform. | Agent | 8 |
| Product Manager, Math Agents, DeepMind (Fixed Term Contract) Product Manager for AI math agents at Google DeepMind, focusing on defining product strategy, requirements, and execution for agentic systems that bridge frontier research in automated reasoning with real-world mathematical problems. The role involves leading development and deployment, incubating new agentic capabilities, and collaborating with researchers and mathematicians. | Agent | 8 |
| Gameplay Programmer, Games, Inception, DeepMind Gameplay Programmer and Prototyper role focused on building interactive experiences that integrate generative models and agentic workflows as core game mechanics. The role involves creating 0-to-1 prototypes, building tools for designers and researchers, integrating streaming models into game environments, and solving technical bottlenecks in early-stage projects. Requires experience in game tech R&D, AI/ML, and architecting new systems. | AgentServe | 8 |
| Staff Applied AI Agent Engineer, Google Cloud Platform Staff Applied AI Agent Engineer for Google Cloud Platform, focusing on deploying and optimizing Generative AI agents for enterprise customers. The role involves partnering with customers, designing and co-developing AI solutions, creating reusable tools, and potentially contributing to the core product codebase. It requires significant software development experience and expertise in ML infrastructure, model deployment, and data processing. | Agent | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to bridge the gap between AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. Responsibilities include technical mentorship, managing alignment with Product/Engineering/Sales, resolving production-level obstacles (data readiness, integration, state-management), leading technical hiring, identifying skill gaps in emerging tech (MCP, tool-calling, foundation models), and collaborating with product/engineering to translate field insights into roadmaps. | Agent | 8 |
| Senior Staff Forward Deployed Developer, Google Cloud Platform, Applied AI Senior Staff Forward Deployed Developer role focused on applying Google's Generative AI to customer problems, building and deploying AI agents on the Customer Engagement Suite platform. Responsibilities include understanding customer needs, designing and co-developing AI solutions, creating reusable tools, and optimizing ML infrastructure. | Agent | 8 |
| Product Manager, Science Agents, DeepMind Product Manager role focused on developing and shipping AI systems, specifically science agents, that accelerate scientific discovery. The role involves bridging frontier research with product development, identifying impactful applications, and incubating new agentic capabilities. It requires technical depth, experience with LLMs, and familiarity with agent evaluation frameworks. | AgentEval Gate | 8 |
| Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind Lead an engineering team building an agent platform for an AI-first organization, focusing on orchestration, tool use, and sandboxing. This role involves significant technical contribution (30-50% coding) and team leadership, aiming to scale intelligent workflows. | Agent | 8 |
| Forward Deployed Engineer, GenAI, DACH, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases. | AgentServe | 8 |
| Staff Software Engineer, Games, Inception, DeepMind Staff Software Engineer at Google DeepMind's Inception group, focused on building AI-powered interactive experiences for games. The role involves designing and implementing generative models and agentic workflows into game mechanics, leading integration of streaming models into game engines, and architecting 0-to-1 systems. Requires strong technical leadership, game tech R&D experience, and experience with AI/ML integration. | AgentServe | 8 |
| Senior Software Engineering Manager, Cloud Applied AI, Agent Building This role is for a Senior Software Engineering Manager at Google's Cloud Applied AI team, focusing on developing AI customer support agents. The manager will lead a team, define technical roadmaps, and work with customers and partners to build and deploy generative AI solutions for chat and voice interfaces. The role requires strong technical leadership, people management, and experience with GenAI techniques and ML infrastructure. | Agent | 8 |
| Staff Software Engineer, Cloud Applied AI, Agent Building Staff Software Engineer role focused on building and deploying AI agents for enterprise customers within Google Cloud. The role involves direct customer partnership, co-development, and contributing to core product codebases, with a strong emphasis on taking product ideas from conception to full-scale production rapidly. Responsibilities include technical guidance on agent improvement, performance tuning, and CI/CD pipelines. | Agent | 8 |
| Senior Software Engineer, Developer and Agent Experience Senior Software Engineer role focused on enhancing developer workflows through AI-driven systems and Agentic platforms within Android, Chrome, and ChromeOS. The role involves leading design, development, and deployment of complex AI systems, architecting robust agentic components, and improving the performance and scalability of developer tools. | AgentServe | 7 |
| Game Designer, Games, Inception, DeepMind This role is for a Game Designer at DeepMind's Inception team, focusing on creating AI-native game experiences. The designer will translate AI capabilities into game mechanics and prototypes, working with researchers and engineers to build novel gameplay systems. The role involves architecting agentic workflows and implementing generative AI within game production. | Agent | 7 |
| Director, Strategic Projects, Public Engagement Lab Leadership role focused on strategic foresight and creative execution of AI/AGI futures, working with research teams to articulate capabilities, benefits, and risks, and overseeing the creation of experiences, simulations, and prototypes for external and internal stakeholders across various domains. | Agent | 7 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs. | Agent | 7 |
| Staff Software Engineer, Generative AI, Applied Innovation Factory Staff Software Engineer role focused on applying Generative AI and Machine Learning to solve real-world customer problems within Google Cloud. The role involves driving experiments, partnering with product/engineering teams and customers, and contributing to building practical solutions. Requires significant experience in ML design, infrastructure, training, and evaluation, with a focus on generative AI applications. | AgentServe | 7 |
| Senior Software Engineer, Agentic Infrastructure, GBO Engineering Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans. | Agent | 7 |
| Senior Software Engineer, Google Cloud, Agent Building Senior Software Engineer focused on building and deploying custom conversational AI agents for enterprise customers on Google Cloud's Customer Engagement Suite. This role involves direct customer partnership, designing, developing, and optimizing AI solutions, and contributing to core product improvements. The role emphasizes problem-solving, creating reusable tools, and potentially optimizing ML infrastructure and data processing. | Agent | 7 |