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 |
|---|---|---|
| Manager, Applied AI Engineering, DeepMind Manager for an Applied AI Engineering team at Google DeepMind, focused on leading the development and deployment of generative AI applications, translating research into products, and shipping software features for billions of users. | Ship | 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 |
| Senior Staff Software Engineer, Agentic Data Tooling, DeepMind Senior Staff Software Engineer focused on building agentic data tooling for Gemini, including evaluation frameworks (SmithBench, RE-Bench), data collection pipelines for agent interactions, and human-in-the-loop annotation systems to accelerate AI capabilities and agent development. | Eval GateAgent | 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 |
| Software Engineer III, GenAI Data Operations Research, XR Software Engineer III role focused on GenAI Data Operations Research for XR and Platforms & Devices. Responsibilities include leading synthetic dataset deliveries, building toolkits for GenAI inference and metadata extraction, and developing pipelines for fine-tuning foundational models. Requires experience in software development, ML infrastructure, and data processing, with a focus on speech/audio, reinforcement learning, or other ML specializations. | DataPost-train | 8 |
| AI/ML Senior Software Engineer, Data Optimization and Platform This role focuses on improving the time to model quality for users by applying data optimization techniques through integrated tools and platforms. The engineer will scale data optimization techniques, establish technical relationships with product areas, leverage Google Research assets, and collaborate with Research teams and ML practitioners to build and iterate on engineering tools, processing pipelines, and data optimization techniques. The goal is to make AI helpful for everyone by advancing Google's AI capabilities. | DataPost-train | 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 |
| 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 |
| 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 |
| Research Engineer, Deployment Performance, Robotics, DeepMind Research Engineer focused on optimizing and maintaining serving infrastructure for robotics models, including performance analysis and inference optimization on TPUs, to accelerate research and deployment in a fast-paced environment. | ServeEval Gate | 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 |
| Software Engineer III, Tensor Processing Units, AI/ML Software Engineer III role focused on developing and supporting AI/ML frameworks and compilers for Google Cloud's Tensor Processing Units (TPUs) and Google Processing Units (GPUs). The role involves enabling large-scale training and inference of advanced ML models, including generative models, computer vision, NLP, and speech, with a focus on PyTorch. Collaboration with internal teams and external researchers is key to advancing the PyTorch-in-Cloud offering. | ServePost-train | 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 |
| Software Engineer, AI/ML, PhD, Early Career Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization. | Data | 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 |
| Technical Lead Manager, TorchTPU Technical Lead Manager for TorchTPU at Google, responsible for leading a team of software engineers to develop and optimize frameworks and compilers for Cloud TPUs, enabling large-scale training and inference of ML models, particularly for generative AI and LLMs, in collaboration with customers and open-source communities. | Serve | 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 |
| Software Engineer, TPU Compiler, PhD, Early Careers Software Engineer role focused on developing and optimizing the TPU compiler for large-scale machine learning models. This involves writing C++ code, designing performance optimizations, and applying AI techniques to the compiler itself. The role supports both internal Google teams (like DeepMind) and external Google Cloud customers. | Serve | 7 |