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 |
|---|---|---|
| Forward Deployed Development Manager, Generative AI, Google Cloud Lead a team of AI/ML developers to deploy bespoke agentic solutions for enterprise customers on Google Cloud, providing technical mentorship, resolving production obstacles, and driving AI adoption. Responsibilities include establishing best practices, technical hiring, identifying skill gaps, and collaborating with product teams. | Agent | 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. | Agent |
| 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (Spanish, English) 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, integrating AI products with customer infrastructure, and developing evaluation pipelines. The FDE acts as a bridge between frontier AI and production reality, providing deployment expertise and feeding back field insights to Google's product roadmap. Requires strong software development skills, experience with AI systems, RAG, vector databases, and fluency in Spanish and English. | AgentEval Gate | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying agentic AI solutions with strategic partners on Google Cloud. Responsibilities include coding, debugging, and shipping agentic workflows, building evaluation pipelines and observability frameworks, and identifying patterns to inform product roadmaps. The role requires experience in architecting AI systems, building data pipelines with vector databases and RAG, and taking AI solutions from conception to launch. | AgentEval Gate | 9 |
| Partner Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team who acts as an embedded builder, bridging the gap between frontier AI products and production-grade reality within partners. The role involves coding, debugging, and jointly shipping bespoke and scalable agentic solutions directly with partners, addressing integration complexities, data readiness, and state-management issues. The role also involves providing white-glove deployment of complex AI systems and acting as a feedback loop for Google's product roadmap. The manager will also build evaluation pipelines and observability frameworks, and co-build with partner FDE teams to instill best practices. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves developing complex AI applications, architecting integrations, building evaluation pipelines, and identifying product feedback. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, Gen AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer III, Gen AI, to build and deploy bespoke agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products, addressing production blockers, and providing feedback to product roadmaps. Responsibilities include developing AI applications, architecting integrations, building evaluation pipelines and observability frameworks, and co-building with customer teams. | AgentEval Gate | 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 |
| Forward Deployed Engineer I, GenAI, Google Cloud This role focuses on building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will bridge the gap between frontier AI products and customer environments, managing integration complexities, data readiness, and state management. Responsibilities include leading AI application development, architecting integrations, building evaluation and observability pipelines, identifying field patterns for product feedback, and mentoring teams. Requires experience in shipping production AI, cloud platforms, and data pipelines with RAG/vector databases. | AgentServe | 9 |
| Pretraining codebase SWE, DeepMind Software Engineer at Google DeepMind focused on the pretraining codebase for a specific model (Cider), involving handover with Apple, IP obfuscation, eval correctness, and integration with Apple's deployment. The role involves writing and testing code, contributing to documentation, and code reviews, with a focus on enabling research and deploying promising ideas. | Pretrain | 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 |
| Senior Staff Software Engineer, Agent Data Quality, DeepMind Senior Staff Software Engineer focused on Agent Data Quality within DeepMind, responsible for building data processing pipelines, experiment frameworks, and evaluation benchmarks for AI agents. The role involves analyzing agent behavior, identifying failure modes, and providing feedback for GenAI model improvement and product development, with a focus on reasoning, planning, and tool use. | Eval GateAgent | 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 |
| Staff Software Engineer, Gemini Evals, GenAI, DeepMind Staff Software Engineer focused on designing and optimizing distributed evaluation execution engines for AI agents. This role involves building systems for agent testing, developing test problems, creating visualizations, building leaderboards, and testing algorithms on robots. The engineer will also build abstractions for LLM agent loops, tool use, and automated rating systems, and design error classification, retry policies, and observability dashboards to meet SLOs. Collaboration with research scientists and data science teams is key, as is mentoring other engineers and advocating for code quality and system design. | Eval GateAgent | 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 |
| Managing Director, Head of Americas AI Blackbelts Managing Director to lead Google Cloud's AI Blackbelt team in the Americas, focusing on bridging frontier AI research with enterprise production reality for strategic customers. This role involves leading a global team, acting as an executive advisor, and driving the incubation and market validation of next-generation AI platforms and capabilities. | ShipPretrain | 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, AI/ML GenAI, Google Cloud Applications AI Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying large-scale GenAI solutions. The role involves technical leadership, optimizing ML infrastructure, guiding data preparation and model optimization, and working with LLMs, Multi-Modal, and Large Vision Models. Experience with ML design, infrastructure, and GenAI techniques is required. | ServePost-train | 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 |
| 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 Software Engineer, Acceleration Platform Senior Software Engineer to architect next-generation AI-native agentic systems for eliminating developer toil. Focus on defining paradigms for self-sustaining AI to resolve engineering issues, establishing AI engineering excellence and security-by-design, and scaling technical capabilities. Responsibilities include leading design of multi-agent networks, defining best practices blending distributed systems with LLM orchestration and RAG, establishing AI quality/safety strategy with automated evaluation, managing edge cases with advanced telemetry, and driving technical alignment and mentorship. | AgentEval Gate | 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 |
| 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 Software Engineer, Applied Research, Foundation User Models Staff Software Engineer, Applied Research, Foundation User Models at Google. This role focuses on defining and executing the applied research roadmap for Large User Models, translating business goals into technical formulations, optimizing model performance with adaptation techniques, driving architectural improvements by influencing pre-training teams, and productionizing fine-tuning pipelines for recommendation engines. The role requires experience with Transformer-based models and ML design, with a focus on balancing quality output with strict inference latency requirements. | Post-trainServe | 9 |
| Staff Software Engineer, User AI Flywheel, Search Intelligence Staff Software Engineer focused on the User AI Flywheel for Google Search, aiming to enhance LLM performance, quality, and capabilities through user signals and advanced modeling techniques. The role involves innovating on LLM improvements, partnering with research teams, and integrating LLM technologies into products. Responsibilities include advocating for modeling/tuning/optimization, designing user signal-driven improvements, collaborating with research, and demonstrating expertise in system design, ML modeling, and coding for LLMs. The role requires experience in software development, ML design, ML infrastructure optimization, and GenAI techniques, with preferred experience in RLHF, fine-tuning, and ML systems production. | Post-trainServe | 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 |
| Staff Software Engineer, AI/ML, Search Ads Staff Software Engineer focused on leveraging AI/ML, including LLMs and Agentic AI, to enhance search ads experiences, optimize ad performance, and build AI-first systems. The role involves designing, developing, and deploying AI/ML models and evaluation methods for data quality assessment within the Google Ads product. | ShipAgent | 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 II, GenAI, Google Cloud Forward Deployed Engineer II, GenAI, Google Cloud - This role involves building and deploying bespoke agentic AI solutions for enterprise customers, managing integration complexities, data readiness, and state management. The engineer will act as a builder-consultant, transitioning prototypes to production, architecting connective tissue between AI products and customer infrastructure, and building evaluation and observability pipelines. The role also involves identifying field patterns to inform product roadmaps and mentoring talent. | 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 |
| Forward Deployed Developer Manager, Gen AI, Google Cloud This role involves leading a team of developers to build and deploy agentic AI solutions within customer environments on Google Cloud. The focus is on bridging the gap between AI products and production realities, solving integration and data issues, and acting as a feedback loop for product development. The role requires coding, debugging, and shipping solutions, with responsibilities including building evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Senior Research Engineer, On-Device Inference, Robotics, DeepMind Senior Research Engineer focused on optimizing Gemini Robotics models for low-latency on-device inference, driving alignment between model architectures and edge device constraints, and influencing research and engineering teams for robust solutions. Requires deep knowledge of inference techniques across GPU, TPU, and CPU architectures. | ServeAgent | 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 |
| Senior Forward Deployed Developer, Applied AI Senior Forward Deployed Developer focused on applying Google's Generative AI, specifically building and deploying AI agents on the Customer Engagement Suite platform for enterprise clients. The role involves direct customer interaction, co-development, debugging, and optimizing AI solutions, acting as a bridge between product teams and customer needs to accelerate customer success and influence product strategy. | Agent | 9 |
| Senior Machine Learning Engineer, GenAI, Google Cloud Senior Machine Learning Engineer focused on building and optimizing generative AI solutions for Google Cloud customers. This role involves working across the full stack of AI, from models and APIs to agent building blocks and specialized applications, with a strong emphasis on production environments and technical leadership. | AgentServe | 9 |
| Power and Performance Architect, TPU This role focuses on defining and driving the power architecture roadmap for Google's next-generation TPUs, which are AI/ML hardware accelerators. The architect will bridge the gap between high-level concepts and silicon execution, optimizing for performance-per-watt for ML workloads and ensuring successful implementation of power management features. This involves collaboration with various teams, including SOC implementation, hardware/software validation, and data center operations, to align silicon capabilities with system-level power constraints. The role requires deep expertise in computer chip design, performance analysis, and power analysis, with a strong emphasis on machine learning accelerator architecture and workload characterization for power optimization. | Serve | 9 |
| Staff Software Engineer, Gemini App Personalization, DeepMind Staff Software Engineer on the Gemini App Personalization team, building next-generation personal AI assistants using Gemini models. Responsibilities include developing personalization capabilities, model post-training, evaluation, data handling, serving, and production deployment. Also involves creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. | AgentPost-train | 9 |
| Software Engineer, AI System Hacker, GenAI, DeepMind Software Engineer role at Google DeepMind focused on building and testing AI agents. Responsibilities include developing agent testing systems, creating test problems in simulators, visualizing results, building leaderboards, and testing algorithms on robots. The role involves working on both frontend and backend infrastructure for AI tools, improving LLMs, and integrating AI into Google products. Requires strong software engineering skills and experience with Generative AI Agents. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI (GenMedia), Google Cloud Forward Deployed Engineer for Generative AI in the Media & Entertainment sector on Google Cloud. This role involves building, debugging, and shipping bespoke agentic solutions directly within customer environments, bridging the gap between frontier AI products and production reality. Responsibilities include developing complex AI applications, architecting integrations, building evaluation pipelines, and providing feedback to product teams. Requires experience in production-grade AI solutions, cloud platforms, data pipelines with vector databases and RAG, and leading technical discovery. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI Go-To-Market organization, focusing on building and deploying end-to-end GenAI solutions for customers. This role involves rapid prototyping, integrating AI/ML with the broader cloud stack, and translating customer needs into scalable assets. | AgentServe | 9 |
| Senior Software Engineering Manager, Emergent AI Infrastructure Senior Software Engineering Manager for Emergent AI Infrastructure, leading teams to build next-generation on-prem AI infrastructure for frontier models and AI solutions. Role involves technical leadership, team management, strategic guidance, and cross-functional collaboration across global sites to deliver high-impact AI infrastructure products. | Serve | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Forward Deployed Engineer for Google Cloud, focused on building and deploying bespoke agentic AI solutions within customer environments. This role involves managing the full lifecycle from prototyping to production, including integration, data readiness, state management, and evaluation. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking an AI Forward Deployed Engineer to act as an embedded builder, bridging frontier AI products with production-grade reality for customers. This role involves coding, debugging, and shipping bespoke agentic solutions within customer environments, managing integration complexities, data readiness, and state-management challenges. The engineer will also deploy complex AI systems, provide feedback to the product roadmap, and co-build with customer teams to instill best practices. | AgentEval Gate | 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, vision, audio) for XR devices. Responsibilities include leading development, creating evaluation plans, implementing innovations in agent architectures and multimodality, rapid prototyping, and collaborating with research and product teams. Requires strong software development experience with C++, Python, and Generative AI, along with ML/AI experience. | AgentServe | 9 |
| Staff Research Engineer, Gemini Audio, DeepMind Staff Research Engineer focused on Gemini Audio at DeepMind, developing multimodal models (audio/audio-visual) and driving end-to-end development from pretraining to production systems, utilizing RL frameworks for training infrastructure and model training. | Post-trainServe | 9 |
| Staff Software Developer, AI/ML, Safety and Security Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications. | AgentServe | 9 |