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 |
|---|---|---|
| Research Scientist, AQUA, DeepMind Research Scientist at DeepMind India focused on developing foundational capabilities in Large Models for Artificial General Intelligence (AGI) by advancing autonomous agents through reinforcement learning and ML optimization methods. The role involves designing, implementing, and evaluating models and agents, pushing the boundaries of RL, and collaborating with Responsible AI teams. Requires a PhD, experience with ML frameworks, deep learning, RL, and a publication record. | AgentPost-train | 10 |
| Senior Staff Software Engineer, Cognitive Architecture, Special Projects Senior Staff Software Engineer role focused on mechanistic interpretability research for AI safety and alignment. The role involves designing and implementing cognitive architecture primitives for future agentic AI systems, guiding their development using agentic programming tools, and serving as a technical leader. Experience in speech/audio, reinforcement learning, ML infrastructure, or other ML fields is required, along with ML design and infrastructure experience. |
| AgentPost-train |
| 10 |
| Research Scientist, Robotics, DeepMind Research Scientist at Google DeepMind Robotics focused on building foundation models, specifically vision-language-action (VLA) models, for physical agents to enable robots to perceive, plan, think, use tools, and act. The role involves advancing general-purpose robotics through research in areas like agentic reasoning, real-world understanding, and human-robot interaction, with the goal of deploying these innovations at scale. | AgentPost-train | 10 |
| Staff Software Engineer, BigQuery Agentic AI Staff Software Engineer at Google BigQuery focused on building agentic AI solutions for data processing. The role involves designing and developing systems that integrate LLMs with BigQuery, architecting agents for reasoning over large datasets, optimizing pipelines, and contributing to agentic frameworks with tool use and evaluation. This position is at the intersection of distributed systems and generative AI. | Agent | 9 |
| Forward Deployed Engineer II, GCC Forward Deployed Engineer II, GCC role focused on embedding with customers to build, deploy, and productionize bespoke agentic AI solutions using Google Cloud's AI portfolio. Responsibilities include architecting integrations, developing agentic workflows, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in software development, ML, NLP, generative AI agents, and DevOps, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, GCC (French, German) Google Cloud is seeking a Forward Deployed Engineer III to build and deploy agentic AI solutions for enterprise customers. This role involves bridging the gap between frontier AI products and production-grade reality, architecting and coding connective tissue, and building evaluation pipelines and observability frameworks. The engineer will also act as a product catalyst by identifying friction points and converting them into product feature requests. The role requires experience in designing and deploying NLP models and Generative AI agents, implementing MLOps pipelines, and building generative AI solutions in a customer-facing capacity. | AgentEval Gate | 9 |
| Senior Software Machine Learning Engineer, DeepMind Senior Software Machine Learning Engineer at Google DeepMind focused on building and testing advanced AI agents. Responsibilities include creating agentic workflows, engineering runtime infrastructure for LLMs, partnering with researchers, and designing evaluation frameworks. The role involves working with Gemini models, testing on robots, and ensuring production reliability. | Agent | 9 |
| Forward Deployed Engineer III, Applied AI, Google Cloud Forward Deployed Engineer III, Applied AI, Google Cloud. Role focuses on transforming conversational AI prototypes into production-ready, end-to-end engineered solutions for customers. This involves leading technical delivery for Conversational AI pilots, architecting and coding agentic workflows, building evaluation pipelines and observability frameworks, and ensuring customer success with Google's AI portfolio and Vertex AI platform. Requires strong software engineering, MLOps, and cloud infrastructure skills, with an emphasis on multi-agent systems, RAG, and optimizing inference. | AgentServe | 9 |
| AI Research Scientist, Applied AI, Google Cloud Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI division. The role involves taking ownership of AI quality, implementing and advancing AI techniques, and driving progress through experimentation. It requires a PhD, experience leading research, and applied ML experience, with a focus on enterprise AI solutions and collaboration with model builders. | AgentPost-train | 9 |
| Staff AI Research Scientist, Applied AI, Google Cloud Staff AI Research Scientist role focused on designing, developing, and deploying scalable and agentic AI solutions for enterprise use cases within Google Cloud's Applied AI team. The role involves taking ownership of AI quality for production systems, implementing evaluation frameworks, and advancing AI techniques through experimentation. It requires a PhD, experience with ML algorithms and LLMs, and a publication record, with a focus on applied research and product contribution. | AgentEval Gate | 9 |
| Software Engineer, Applied AI Software Engineer, Applied AI at Google, focusing on deploying and maintaining production-grade AI agents for Gemini Enterprise. Responsibilities include prompt engineering, fine-tuning, CI/CD, and monitoring agent performance. Requires experience with generative AI agents, ML infrastructure, and potentially speech/audio or reinforcement learning. | AgentPost-train | 9 |
| Research Scientist, Memory, Reasoning and Continual Learning, DeepMind Research Scientist at Google DeepMind focused on advancing AI in Memory, Reasoning, and Continual Learning. The role involves initiating novel research, designing and executing experiments on topics like RAG, continual learning, and multi-step reasoning, developing evaluations for complex capabilities, and building infrastructure for advanced AI systems. The position requires a PhD and experience in AI research, with a focus on publishing findings and contributing to the research community. | AgentPost-train | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud is an embedded builder responsible for developing and deploying production-grade agentic AI solutions within partner and customer environments. This role bridges the gap between AI prototypes and reality by coding, debugging, and shipping bespoke solutions, addressing integration, data readiness, and state management challenges. The FDE also builds evaluation pipelines and observability frameworks, acts as a feedback loop to Google's product roadmap, and helps partners build their own agentic delivery capabilities, focusing on ROI and customer success. | AgentEval Gate | 9 |
| Staff Research Engineer, Applied AI, DeepMind Research Engineer to lead development and deployment of novel applications using Google's generative AI models. Focus on rapidly developing new features, collaborating with partner teams, and delivering solutions to maximize impact for Google and its customers. Role involves translating AI research into real-world products, demonstrating model capabilities, and scaling products from concept to production in fast-paced, early-stage environments. | AgentPost-train | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud (English, Japanese) This role involves deploying and customizing Generative AI (GenAI) solutions for enterprise customers on Google Cloud. The engineer will build agentic workflows, integrate AI products with customer infrastructure, develop evaluation and observability pipelines, and provide feedback to product teams. The role requires strong software development skills, experience with AI systems, RAG, vector databases, and the ability to work with both technical and non-technical stakeholders in Japanese and English. | AgentEval Gate | 9 |
| Senior Software Engineer, Acceleration Platform Senior Software Engineer role focused on architecting and building AI-native agentic systems to automate developer tasks. The role involves leading the design of multi-agent networks, integrating LLM orchestration and RAG pipelines, establishing AI quality and safety standards, and developing evaluation frameworks and debugging tools. It emphasizes technical leadership, mentorship, and driving AI engineering excellence in complex, ambiguous initiatives. | AgentEval Gate | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on developing and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves building classifiers, data pipelines, monitoring systems, and evaluating agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness. | AgentEval Gate | 9 |
| 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 |
| Forward Deployed Engineer, Generative AI, Google Cloud Consulting Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management issues. Responsibilities include leading AI application development, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying friction points for product feedback, and co-building with customer teams. | AgentEval Gate | 9 |
| Senior Product Manager, AI Garage Senior Product Manager for AI Garage at Google, focusing on defining and delivering AI-powered agentic products for HR processes. The role involves shaping AI-native product strategy, writing PRDs for systems with non-deterministic behavior (including fine-tuning and RAG), partnering with researchers on model requirements, pioneering multi-agent execution frameworks, and implementing LLM evaluation systems. Requires deep technical fluency in generative AI and experience launching technical products. | AgentPost-train | 9 |
| Research Software Engineer, Multimodal AI This role focuses on developing and enhancing AI agents, particularly in the multimodal domain (audio, vision), for XR devices. The engineer will work on LLMs, agents, and their integration into next-generation computing products, involving algorithm development, production-quality coding, evaluation planning, and shipping AI innovations. The role requires experience in software development, generative AI, ML frameworks, and multimodal learning. | AgentPost-train | 9 |
| Staff Software Engineer, On-Device Hybrid Multimodal AI Staff Software Engineer role focused on developing and optimizing on-device and hybrid multimodal AI models (LLMs, agents) for XR devices, involving research, prototyping, production code (C++, Python), and shipping AI features. Requires experience in AI/ML, Generative AI, and Multimodal ML. | AgentServe | 9 |
| Research Scientist, Frontier Safety Loss of Control, DeepMind Research Scientist role focused on identifying and preventing harms from misaligned AI agents, developing and implementing technical controls, monitoring agent behavior, and conducting adversarial testing. The role involves working with internal product teams to ensure adoption of control systems on high-risk AI surfaces, with a background in frontier AI research and agentic assistance. | Agent | 9 |
| Staff Software Developer, AI/ML, Safety and Security This role involves leading AI/ML projects focused on safety and security within Google Workspace. The primary responsibilities include building LLM-based safety and security auto-raters, developing classifiers for prompt injection attacks, and implementing live traffic observability solutions. The role also requires collaboration with Google DeepMind on research-based defense techniques and with various Workspace product teams to protect AI features. The ultimate goal is to ensure the safety and security of AI features across Google's productivity tools. | AgentServe | 9 |
| Forward Deployed Engineer V, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, addressing integration, data readiness, and state-management challenges. Responsibilities include developing complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product feedback, and co-building with pre-sales and product teams. The role requires strong software development experience, experience with production-grade AI solutions, and building data pipelines using vector databases and RAG. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Staff Software Engineer, Quality, Google Cloud, Applied AI Staff Software Engineer focused on building and improving AI agents, specifically a meta-layer of agents that build, test, and refine other agents. The role involves developing multi-modal customer support agents with complex reasoning capabilities, embedding Gemini and Vertex AI into client-facing infrastructure, and establishing engineering benchmarks for automated optimization and AI quality assurance in production systems. | AgentEval Gate | 9 |
| Staff Software Engineer, AI Infrastructure, Google Cloud, Applied AI Staff Software Engineer focused on building and scaling high-performance, distributed infrastructure for agentic AI workflows in Google Cloud. The role involves transitioning experimental models into robust production services, ensuring low-latency and reliability for multi-agent systems, and iterating on customer needs for enterprise use cases. | AgentServe | 9 |
| Senior Software Engineer, Google Cloud, Applied AI Senior Software Engineer at Google Cloud focused on developing and deploying agentic AI solutions for enterprise use cases, leveraging Gemini Enterprise. The role involves algorithmic innovations for multi-agent systems, reinforcement learning, multimodal reasoning, and improving LLM reliability and tool use. | Agent | 9 |
| Research Scientist, Robotics, DeepMind Research Scientist at Google DeepMind Robotics focused on building foundation models like vision-language-action (VLA) models for physical agents, enabling robots to perceive, plan, think, use tools, and act. The role involves research into agentic reasoning, real-world understanding, and robot control, with a focus on publishing research and contributing to the AI research community. | AgentPost-train | 9 |
| Research Engineer, Embodied Agents, DeepMind Research Engineer at DeepMind focused on building AI agents that operate in physical environments, advancing physical AGI. The role involves designing learning infrastructure, collaborating with partners for deployment, and building developer tools for robotics capabilities. Key challenges include bridging the gap between simulation and real-world robot performance. | AgentServe | 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 |
| Senior Staff Technical Program Manager, AI Innovation and Research The Technical Program Manager will drive the strategy and execution of AI agent initiatives aimed at transforming the software development lifecycle, including democratizing app creation and building a virtual software engineering workforce. This role involves leading complex, cross-functional programs from 0-to-1, bridging foundational models with product applications, and ensuring safety and compliance. | Agent | 9 |
| Research Engineer, Frontier Safety Loss of Control, DeepMind Research Engineer focused on developing monitoring and control systems for potentially misaligned AI agents to mitigate risks of extreme harms. This involves designing, building, and testing monitors, implementing response policies, and conducting adversarial testing. The role emphasizes preparing for the internal use of advanced AI systems and ensuring safety and ethics. | AgentEval Gate | 9 |
| Senior Software Engineer Senior Software Engineer at Google DeepMind focused on building and improving agentic AI features using Gemini models. The role involves developing quantitative evaluations of agent performance, triaging production issues, and contributing to the technical vision and roadmap. Requires a PhD in a related field and experience in software development, algorithm design, systems architecture, Python for ML, and software testing. | AgentEval Gate | 9 |
| Staff Software Engineer, AAI Research Research role focused on building and improving next-generation AI agents for Google Cloud customers, involving dataset creation, agent design, metric definition, and quality iteration. | AgentData | 9 |
| 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 |
| Partner Forward Deployed Engineer IV, Generative AI, Google Cloud This role involves building and deploying agentic AI solutions for enterprise partners on Google Cloud. The engineer will bridge the gap between AI prototypes and production, focusing on integration, data readiness, and state management. Responsibilities include leading development, building evaluation pipelines, identifying patterns for product feedback, and instilling best practices. The role requires experience with AI system architecture, cloud platforms, data pipelines (vector databases, RAG), and taking AI solutions from conception to launch. | AgentEval Gate | 9 |
| Research Scientist, Manipulation for Robotics, DeepMind Research Scientist role focused on pioneering AI integration into robotics for physical agents, enabling robots to perceive, plan, think, use tools, and act. The role involves developing and training large foundation models for general-purpose dexterous manipulation tasks, aiming for human-level performance on real-world applications using frontier robotics models. This includes working with simulators, real robots, and various AI techniques like reinforcement learning and vision-language-action models. | AgentData | 9 |
| Software Engineer III, Multimodal Agentic AI, XR This role focuses on designing, developing, and deploying multimodal agentic AI solutions for smart glasses, leveraging Gemini Live and Astra. It involves enhancing multimodal tools, defining strategies for data, evaluation, and post-tuning of Gemini models, and optimizing agent architecture for inference cost. The role emphasizes AI quality for production systems, including evaluation frameworks and model improvements, with a focus on multimodal conversational quality, tool use, and goal-oriented reasoning. | AgentPost-train | 9 |
| 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 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) Google Cloud is seeking a Partner Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with strategic partners to build, debug, and ship bespoke, scalable agentic AI solutions directly within customer environments. The FDE will address production blockers, integration complexities, data readiness, and state-management challenges, aiming to bring AI to enterprise-grade maturity. Responsibilities include developing complex AI applications, building evaluation pipelines and observability frameworks, identifying patterns for product feature requests, and helping partners build their own agentic delivery capabilities. The role requires strong technical skills in cloud computing, AI systems architecture, data pipelines (vector databases, RAG), and communication in both Japanese and English. | AgentEval Gate | 9 |
| Research Scientist, Robotics, Embodied AI, DeepMind Research Scientist role focused on developing Vision Language Action (VLA) models and agentic systems for physical robots, enabling them to perceive, plan, think, use tools, and act in real-world environments. The role involves training embodied reasoning VLMs, working with simulators and real robots, and advancing areas like general-purpose robotics, human-robot interaction, and continual learning. | 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 |
| Staff Software Engineer, Generative AI Staff Software Engineer focused on bringing the performance of LiteRT-LM to agentic systems, building infrastructure for local LLMs, and enabling their use in first-party and third-party products. This involves full-stack development, API servers, agent harnesses, integration tests, and evals for a production-ready local LLM solution. | AgentServe | 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer to build and deploy generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. The engineer will also build evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing data readiness and state management challenges. The FDE will also build evaluation pipelines and observability frameworks, and provide feedback to Google's product roadmap. The role requires strong software development skills, experience with AI systems on cloud platforms, and familiarity with RAG and vector databases. | AgentServe | 9 |
| Senior Staff Software Engineer, AI/ML, Applied AI Senior Staff Software Engineer role focused on building the core logic for multimodal customer support agents that execute complex reasoning, developing automated systems for agent refinement, and architecting pathways to embed AI intelligence into client-facing cloud infrastructure. The role also involves establishing engineering benchmarks for optimization and partnering with clients to deploy customizable agent solutions. | Agent | 9 |
| Forward Deployed Developer III, Generative AI, Google Cloud Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management challenges. It involves coding, debugging, and deploying complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying product feature requests based on field insights. | AgentEval Gate | 9 |
| Research Scientist, Frontier Health, DeepMind Research Scientist at Google DeepMind's Frontier Health team focused on building agentic, multimodal AI systems for healthcare. The role involves developing novel methods at the intersection of LLMs, RL, and clinical medicine, with a focus on publications and real-world product impact. Responsibilities include developing RL pipelines, building evaluation frameworks, conducting experiments, and designing techniques for medical AI, including agentic clinical reasoning, tool use, and multimodal understanding. | AgentPost-train | 9 |
