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 Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on taking frontier AI products and making them production-grade for enterprise customers. This involves solving integration complexities, data readiness, and state management for agentic workflows, and acting as a feedback loop to product teams. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Korean, English) This role focuses on deploying and building generative AI solutions, specifically agentic systems, within customer environments on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, coding, debugging, and shipping bespoke solutions. Responsibilities include architecting integration, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, vector databases, and ideally multi-agent systems. |
| AgentServe |
| 9 |
| Forward Deployed Engineer, 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 integrate AI products with customer infrastructure, develop evaluation pipelines, and act as a feedback loop for product development. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. It acts as a bridge between frontier AI and production reality, with a feedback loop to product roadmaps. | AgentEval Gate | 9 |
| Staff Forward Deployed Developer, Generative AI, Google Cloud Staff Forward Deployed Developer, Generative AI, Google Cloud in Toronto, ON, Canada. This role involves embedding as a developer to build and ship bespoke agentic AI solutions within customer environments, bridging frontier AI products with production realities. Responsibilities include coding, debugging, addressing integration and data challenges, building evaluation pipelines, and providing feedback to product roadmaps. The role requires experience with cloud computing, customer-facing technical roles, data pipelines, vector databases, RAG, and architecting AI systems on cloud platforms. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| 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. | AgentServe | 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 |
| 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 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 |
| 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 |
| Research Scientist, Google Research, AI/ML Research Scientist role focused on utilizing LLMs for real-world tasks including rating scenarios, personalized evaluation, and simulating users to model preferences and behaviors. The role involves understanding academic literature, building and delivering functioning systems to Google products, and contributing to the wider research community through publications. The team's work is delivered in products like Search and Ads. | 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 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 |
| 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 Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building safety mitigations for frontier AI models, defending against misuse in domains like CBRNE and Harmful Manipulation. Responsibilities include building classifiers, data pipelines, monitoring systems, and evaluating/securing agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness research. | AgentEval Gate | 9 |
| 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 |
| 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 |
| 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 |
| Senior Product Manager, Gemini Agentic Capabilities, DeepMind Product Manager for Gemini's agentic capabilities, focusing on defining excellence, scaling evaluation frameworks, and driving research. The role involves bridging model research and ecosystem needs through data-driven methods, synthetic data generation, and loss analysis, with a specific emphasis on tool use and agentic evaluations. | AgentEval Gate | 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 |
| 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 |