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 |
|---|---|---|
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy bespoke agentic AI solutions for enterprise customers. This role involves coding, debugging, and integrating AI products into customer environments, addressing integration, data readiness, and state-management challenges. The FDE will also act as a feedback loop to Google Cloud's product roadmap and co-build with customer engineering teams to instill best practices. | AgentServe | 9 |
| Research Scientist, Stitch Research Scientist focused on advancing LLMs for complex software engineering tasks, specifically in long-horizon reasoning, planning, and tool use. The role involves designing novel agentic architectures, exploring scalable memory/context management, leading research in synthetic data generation and verification for model improvement, and developing high-fidelity evaluation frameworks for agent impact on software quality and developer productivity. | AgentData | 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will integrate Google's AI products with customer infrastructure, address integration complexities, data readiness, and state management issues. They will also build evaluation pipelines and observability frameworks, and act as a feedback loop to product teams. The role requires strong software development skills, experience with cloud platforms, and building production-grade AI solutions, including RAG and multi-agent systems. | AgentEval Gate | 9 |
| Forward Deployed Engineer II, Generative AI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will code, debug, and integrate AI products into customer environments, focusing on agentic workflows, data readiness, and state management. Responsibilities include developing AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, and building AI systems using RAG and vector databases, with a preference for multi-agent systems experience. | AgentServe | 9 |
| Senior Software Engineer, Applied AI, Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent for commerce, leveraging foundational AI models like Gemini and Vertex AI. The role involves defining quality metrics, implementing evaluation pipelines, testing agentic actions, and ensuring seamless integration with other AI platforms, with a focus on 0-to-1 product development. | AgentEval Gate | 9 |
| Research Scientist/Engineer, Autonomous Security, DeepMind Research Scientist/Engineer at Google DeepMind focused on building AI agents for autonomous security operations. The role involves designing training pipelines, reward functions, and evaluation benchmarks for realistic security scenarios, and deploying these systems. Responsibilities include fine-tuning foundation models, designing reward functions, building RL environments, and architecting evaluation harnesses for offensive and defensive security tasks. The role requires a PhD and experience in ML, cybersecurity, and software engineering, with a focus on autonomous agent systems. | AgentPost-train | 9 |
| Senior Software Engineer, Applied AI Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent, embedding intelligence into retail infrastructure. This role involves defining quality metrics, designing evaluation pipelines, collaborating with model builders, and ensuring seamless integration with other AI platforms, focusing on a 0-to-1 product launch. | AgentEval Gate | 9 |
| Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Staff Software Engineer focused on building Google's next-generation AI assistant, a personal AI that continuously absorbs, organizes, and recalls user context to amplify their thinking. Responsibilities include designing and building features for the Gemini App stack, analyzing user feedback and logs, developing evaluation techniques for safety and quality, owning model output safety, and contributing to a data flywheel. The role involves working with cutting-edge AI agents, creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. | AgentEval Gate | 9 |
| Staff Software Engineer, Generative AI, Search Developer Tools Staff Software Engineer focused on Generative AI for Search Developer Tools, specifically leveraging agentic development to improve product velocity for AI Overviews and AI Mode. The role involves leading the architecture, design, and development of scalable agentic solutions, improving human-AI collaboration, and integrating tools and skills within the Google ecosystem. | Agent | 9 |
| Staff Software Engineer, Machine Learning, Google Chat Staff Software Engineer, Machine Learning for Google Chat, focusing on building and scaling AI infrastructure for enterprise collaboration. The role involves architecting agents, developing GenAI capabilities like RAG and personalized assistants, and optimizing inference costs. Key responsibilities include leading AI-scaled evaluation loops, owning the RAG roadmap, automating NLU bug resolution, and optimizing the AI stack for performance and cost efficiency, with a strong emphasis on bridging AI research and production systems. | 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, specifically powering business growth with Gemini Enterprise. The role involves taking ownership of AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. Collaboration with model builders and contribution to the research community through publications are also key aspects. | AgentEval Gate | 9 |
| Senior Software Engineer, Generative AI, Safety Classifiers, Agentic Systems, Google Ads The Actor Safety Foundational Modeling (ASFM) team is looking for a Senior Software Engineer to build core ML models and infrastructure for detecting and preventing abusive behavior in Google Ads. This role involves developing AI/ML models, leveraging LLMs and agent infrastructures, building and deploying AI agents for investigation and threat hunting, and creating scalable infrastructure for safety operations. The position emphasizes innovation and rapid deployment of generative AI solutions to stay ahead of adversarial tactics. | AgentServe | 9 |
| Senior Staff Software Engineer, Applied AI Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale AI solutions, with a specific emphasis on language models and agentic systems. The role involves technical leadership, ML infrastructure optimization, and applying the latest AI technologies to create impactful products. Requires extensive experience in software development, ML design, and industry ML infrastructure. | AgentServe | 9 |
| Research Scientist, Gemini Retrieval and Agera, DeepMind Research Scientist at Google DeepMind focused on advancing Gemini's capabilities in autonomous knowledge acquisition, reasoning, and retrieval. The role involves designing modeling innovations, improving retrieval architectures, building self-improving models, and collaborating with product teams to scale research into production. Emphasis on next-generation retrieval, multimodal representations, and autonomous reflection/self-improvement. | AgentData | 9 |
| Staff Software Engineer, YouTube Ads, Agentic Video Staff Software Engineer role focused on leading the technical strategy, architecture, and delivery of a new agentic video creation application for YouTube Ads. The role involves developing multi-modal agentic systems using Generative AI to produce high-fidelity video creatives at scale, adapting frontier AI capabilities to the Ads domain, and designing scalable APIs and microservices. This position bridges frontier AI with business impact and requires experience in leading applied AI/ML products and shipping AI applications. | AgentShip | 9 |
| Staff Software Engineer, GeminiApp Personalization, DeepMind Staff Software Engineer at Google DeepMind on the Gemini App Personalization team, focused on building a next-generation AI assistant that deeply personalizes products for users. The role involves designing and building scalable features for capturing, organizing, and surfacing personal context, performing data analysis, developing evaluation techniques for contextual recall, owning model output quality, and contributing to a data flywheel. The position requires significant software development experience, particularly with big data, ML, LLMs, and data analysis, with a focus on creating a seamless cognitive extension for users. | AgentEval Gate | 9 |
| Staff Datacloud Blackbelt Engineer, Data and AI Staff Datacloud Blackbelt Engineer role focused on building and deploying sophisticated Data and AI agents and solutions for enterprise customers, leveraging Google's AI technologies. The role involves architecting, optimizing inference latency, and transforming bespoke solutions into reusable assets, acting as a technical lead and mentor. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud Forward Deployed Engineer (FDE) role focused on building and deploying generative AI agentic solutions for Google Cloud customers in the telecommunications sector. This role involves coding, debugging, and integrating AI products into customer environments, managing integration complexities, and providing feedback to product teams. It requires a blend of engineering, customer engagement, and problem-solving skills to deliver bespoke AI applications and reusable assets. | AgentServe | 9 |
| Forward Deployed Engineer IV, Applied AI, Google Cloud Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions for customers, owning the end-to-end engineering lifecycle. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and ensuring best practices for customer projects. Requires experience with AI systems on cloud platforms, deploying conversational agents, and full-stack application development interacting with enterprise IT. | AgentServe | 9 |
| Forward Deployed Engineer, Core, DevAI Google is seeking a Forward Deployed Engineer for the DevAI team to accelerate its transformation into an AI-native company. This role involves partnering with Product Areas to build and elevate AI capabilities, focusing on the technical foundation of Google's flagship products. The engineer will lead the design and implementation of autonomous, agentic workflows, deliver production-grade agent components, and re-engineer isolated solutions into scalable capabilities. | AgentServe | 9 |
| Technical Program Manager, Agents Innovation, DeepMind Technical Program Manager at Google DeepMind focused on driving the execution of agentic capabilities from research to production, specifically for Gemini and other Google products. This role involves managing the lifecycle of agentic innovations, building pathways between research and product teams, and understanding the AI model development lifecycle. | AgentPost-train | 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 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves creating novel evaluations, red-teaming, implementing robust defenses, and monitoring risks, with a strong emphasis on agentic AI systems and adversarial robustness. | AgentEval Gate | 9 |