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 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). 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 (388 roles), India (50 roles), Singapore (43 roles), Poland (23 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 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| AI/ML Engineer, National Security, Google Public Sector AI/ML Engineer for Google Public Sector, focusing on productionizing AI solutions for national security customers. The role involves acting as a technical advisor, designing and implementing AI architectures, and coaching customers on ML systems. Requires experience with ML frameworks, coding, and a Top Secret/SCI clearance. | ShipAgent | 8 |
| Group Product Manager, Agentic Search Product Manager for Agentic Search at Google, focusing on building agentic features to handle complex user journeys and enable users to accomplish tasks seamlessly across sites and services. The role involves defining product strategy, guiding development from conception to launch, and managing cross-functional teams in a rapidly evolving AI landscape. |
| Agent |
| 8 |
| Staff Applied AI Agent Developer Staff Applied AI Agent Developer role focused on applying Generative AI (Gemini Enterprise) to solve real-world challenges for strategic customers. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing technical guidance to customers. The role also involves creating reusable tools, building documentation, and influencing product strategy based on field insights. | Agent | 8 |
| Staff Software Engineer, Discover AI Transformation, GenAI Personalization Staff Software Engineer focused on integrating Generative AI into Google Discover's personalization feed. The role involves architecting LLM integration layers, owning prompt engineering, evaluation, observability, and leading model selection/fine-tuning. The goal is to evolve Discover into a conversational and co-creative personal companion, impacting billions of users. | AgentPost-train | 8 |
| Senior Staff Forward Deployed Developer, Google Cloud Platform, Applied AI Senior Staff Forward Deployed Developer role focused on applying Google's Generative AI to customer problems, building and deploying AI agents on the Customer Engagement Suite platform. Responsibilities include understanding customer needs, designing and co-developing AI solutions, creating reusable tools, and optimizing ML infrastructure. | Agent | 8 |
| Research Data Scientist, Cybersecurity, Google Cloud Research Data Scientist role focused on applying ML, statistics, and Generative AI to cybersecurity problems within Google Cloud. The role involves developing and deploying innovative data-driven solutions, including agentic security operations and LLM tuning, with an emphasis on research and publication. | AgentPost-train | 8 |
| Senior Blackbelt Engineer, Gemini Cloud Assist (English) Senior engineer to architect and build Generative AI solutions for enterprise customers using Gemini and Vertex AI, focusing on agentic workflows and semantic data layers. The role involves resolving technical hurdles, optimizing latency, bridging systems, and transforming bespoke solutions into reusable assets and reference architectures. This includes mentoring engineers and advising customer CTOs, with a strong emphasis on customer engagement and product incubation. | AgentServe | 8 |
| Senior Software Engineer, AI/ML, Search Quality Senior Software Engineer focused on AI/ML for Google Search Quality, involving development of ML models, leveraging ML infrastructure, and working with large-scale data processing and serving systems, particularly for abuse detection and search ranking. | ShipServe | 8 |
| Senior Software Engineering Manager, AI/ML Senior Software Engineering Manager for Google's AI and Infrastructure team, focusing on leading teams, setting technical direction, and overseeing the development and deployment of large-scale AI and ML infrastructure. The role involves managing engineers, defining product strategy, optimizing ML infrastructure, and driving technical projects across various ML specializations. | Serve | 8 |
| Staff Software Engineer, Machine Learning, Discover Ads Retrieval Staff Software Engineer, Machine Learning, Discover Ads Retrieval. This role focuses on innovating and defining the retrieval strategy for Google's Discover Ads, connecting users with relevant ads in their feed. The engineer will lead ML engineers to explore frontiers in embedding-based retrieval, deep learning architectures, and multi-objective optimization, impacting billions of users globally. The work involves moving beyond legacy retrieval methods to design next-generation applicant generation strategies and integrate fresh signals into retrieval models. | AgentServe | 8 |
| Group Product Manager, AI/ML Google is seeking a Group Product Manager for their AI and Infrastructure team. This role involves guiding AI/ML products from conception to launch, defining product roadmaps, and developing strategic goals for agentic applications. The position requires extensive experience in product management within the AI/ML domain, with a focus on cross-functional collaboration and delivering AI/ML products at scale. | Agent | 8 |
| Senior Engineering Analyst, Safe Browsing, Applied AI This role focuses on building and evaluating AI agents to classify web pages and reduce operational costs for Google's Safe Browsing system. It involves data analysis to identify harmful entities, understanding malicious website behavior using LLMs, and collaborating with anti-abuse teams to fight phishing and malware at scale. The role requires experience with AI agentic workflows and a strong background in data analysis and programming. | AgentData | 8 |
| Product Manager, Science Agents, DeepMind Product Manager role focused on developing and shipping AI systems, specifically science agents, that accelerate scientific discovery. The role involves bridging frontier research with product development, identifying impactful applications, and incubating new agentic capabilities. It requires technical depth, experience with LLMs, and familiarity with agent evaluation frameworks. | AgentEval Gate | 8 |
| Staff Software Engineer, AI/ML, Google Cloud Staff Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include designing, developing, and maintaining large-scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design optimization. | ServePost-train | 8 |
| Software Engineering Manager II, Agentic Planning and Memory Google is seeking an Engineering Manager for their Agentic Planning and Memory team, focused on transforming Google Workspace into a proactive digital partner. The role involves leading teams to develop advanced function-calling capabilities for autonomous workflow execution and building an agentic memory layer for improved context retention and utilization. This position requires strong technical leadership, experience in ML infrastructure, and expertise in GenAI techniques to impact billions of users. | Agent | 8 |
| Android Staff Software Engineer, Gemini Live, DeepMind Staff Software Engineer for Gemini Live, a multi-modal AI assistant aiming to be a daily habit for users seeking advice, information, and learning experiences. The role focuses on defining and driving the front-end architecture, engineering an intuitive multi-modal experience, and ensuring low-latency performance for a responsive and natural AI interaction. This involves partnering with GenAI and Model teams to integrate advanced capabilities and establish quality metrics. | Agent | 8 |
| Tech Lead, YouTube Shorts Discovery, ML Recommendations Tech Lead for YouTube Shorts Discovery, focusing on ML Recommendations. This role involves designing, developing, and deploying large-scale software solutions and ML infrastructure to drive the success of YouTube Shorts. The primary focus is on building audience identification systems within the recommendation stack, leveraging advanced modeling techniques. The role requires technical leadership, managing project priorities, and guiding the development of ML models and data processing strategies. | AgentServe | 8 |
| Distinguished Engineer and UTL, Google Cloud Security Distinguished Engineer and Uber Tech Lead for Google Cloud Security's Unified and Security Operations organization (GUSTO). Responsible for defining and driving the long-term vision at the intersection of AI and cybersecurity, addressing complex security threats with AI, and conducting groundbreaking research. This role involves technical leadership, mentorship, and collaboration to shape Google Cloud security products. | Agent | 8 |
| Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind Lead an engineering team building an agent platform for an AI-first organization, focusing on orchestration, tool use, and sandboxing. This role involves significant technical contribution (30-50% coding) and team leadership, aiming to scale intelligent workflows. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager of a Generative AI Forward Deployed Engineering team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship, and managing hiring. The role involves resolving production-level obstacles and collaborating with sales, product, and engineering leadership. | Agent | 8 |
| Senior Software Engineer, TPU Performance, Hardware, Software Co-Design This role focuses on the co-design and optimization of ML systems with hardware (HW) and software (SW), specifically for TPUs. The engineer will analyze and improve the performance, power, and energy efficiency of ML workloads, including large-language models and large embedding models, by optimizing model architecture, software systems, and hardware architecture. The role involves exploring and defining future ML accelerator architectures. | Serve | 8 |
| Leadership Technical Program Manager, Gemini for Home Technical Program Manager for Google's Gemini for Home initiative, focusing on orchestrating roadmaps and technical execution for agentic workflows that transform the home ecosystem into a proactive partner. The role involves managing complex AI launches, connecting engineering teams with AI research breakthroughs, and leading a team of TPgMs in navigating generative AI development. | Agent | 8 |
| Senior Software Engineering Manager, AI/ML, Compute Infrastructure Senior Software Engineering Manager for Google's Cloud GPU team, focusing on building and maintaining an industry-leading GPU fleet and AI Platform. The role involves managing engineering talent, executing technical roadmaps for GPU infrastructure, integrating new GPU architectures, and overseeing the lifecycle of accelerator solutions for AI workloads. This position is critical for enabling Google's AI innovation and supporting large-scale AI models and services. | Serve | 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the ML Frontiers team, collaborating on LLM agents and decision forests. The role involves feature development, research exploration, and client collaboration, bridging pioneering models with enterprise solutions. | Post-train | 8 |
| Manager, Forward Deployed Engineering, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on Generative AI within Google Cloud. The role involves leading AI/ML engineers to integrate AI products into customer production environments, providing technical mentorship, managing strategic alignment, and resolving production obstacles related to data, integration, and state management. Responsibilities include establishing engineering standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tech, and translating field insights into product roadmaps. The team deploys experts to key accounts and builds internal tools for efficiency. The role requires experience in developing AI/GenAI solutions, designing multi-agent workflows and RAG systems, and architecting AI solutions with a focus on data sovereignty, governance, and user trust through transparent and explainable interfaces. Experience in designing secure, observable multi-agent systems with state management and tool-calling protocols is also key. | Agent | 8 |
| Staff Software Engineer, Content Safety, Productionization Staff Software Engineer at Google focused on Content Safety, Productionization. This role involves safeguarding business-critical products, including GenAI experiences, by designing, building, and scaling content safety solutions like classifiers and multimodal understanding. Key responsibilities include working on agentic workflows for threat understanding and content moderation, leading ML solution design, optimizing ML infrastructure, and guiding model optimization and data processing strategies. The role requires significant experience in software development, ML infrastructure, and ML design, with a focus on productionizing AI for safety. | AgentServe | 8 |
| Senior Staff Software Engineer, AI/ML, Security Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products. | AgentEval Gate | 8 |
| Research Engineer, Deployment Performance, Robotics, DeepMind Research Engineer focused on optimizing and maintaining serving infrastructure for robotics models, including performance analysis and inference optimization on TPUs, to accelerate research and deployment in a fast-paced environment. | ServeEval Gate | 8 |
| Staff Software Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | AgentServe | 8 |
| Senior Staff Software Engineer, Infrastructure, Agents Infra Senior Staff Software Engineer focused on building and scaling infrastructure for Generative AI agents, including LLMs and Multi-Modal models. The role involves leading technical strategy, designing and implementing large-scale ML infrastructure, and overseeing the deployment and maintenance of these solutions. | AgentServe | 8 |
| Software Engineer III, Machine Learning, Research and Products Software Engineer III, Machine Learning, Research and Products at Google Cloud, focusing on developing and scaling LLM & RAG agents. This role involves writing product/system code, implementing ML solutions, optimizing models, and contributing to data processing, with a minimum of 1 year of experience in Generative AI, Agents, or LLMs. | AgentData | 8 |
| Forward Deployed Engineer II, Generative AI, Google Cloud Forward Deployed Engineer II, Generative AI, Google Cloud. This role involves building and shipping production-grade agentic AI solutions within customer environments, managing integration complexities, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to product roadmaps. Requires experience with Python/Typescript, building AI solutions, data pipelines with vector databases/RAG, and cloud platforms. Preferred experience with multi-agent frameworks and LLM optimization techniques. | AgentServe | 8 |
| Senior Staff Data Scientist Manager, AI Data This role focuses on improving the quality of data used for training Machine Learning models, particularly Large Language Models (LLMs). The responsibilities include analyzing large datasets, defining data quality metrics, researching methods to enhance data quality, and influencing product direction through data insights. The role requires significant experience in data analysis and a background in quantitative fields. | Data | 8 |
| Software Engineering Manager, Cloud ML Compute Services (Mandarin, English) Software Engineering Manager for Google Cloud's ML Compute Services, focusing on optimizing customer AI/ML models on Google Cloud infrastructure. The role involves leading a team, providing technical guidance, partnering with customers on performance, and collaborating with internal teams to enhance AI workload support. | ServePost-train | 8 |
| Forward Deployed Engineer, GenAI, DACH, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases. | AgentServe | 8 |
| Product Manager, Gemini App, DeepMind Product Manager role focused on defining and leading the product strategy for user interaction with AI, specifically integrating LLM capabilities into products like intelligent assistants. The role involves defining roadmaps, prioritizing requirements, leading cross-functional teams, driving go-to-market strategies, and staying knowledgeable about advanced AI technologies and their emerging capabilities. Experience with AI model evaluation and user perspectives for AI products is preferred. | Ship | 8 |
| Staff Software Developer, ML Infrastructure, Core Infra Staff Software Developer focused on ML Infrastructure for Core Infra, specifically for conversational AI agents. The role involves driving technical direction for data systems, implementing scalable data solutions on GCP, and leading critical infrastructure investments to support Generative AI development. | Data | 8 |
| Senior Software Engineer, Robotic Test Automation Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams. | Agent | 8 |
| Software Engineer, Applied AI Software Engineer, Applied AI at Google, focusing on developing and deploying production-grade AI agents for business growth. The role involves executing experiments, managing the full lifecycle of AI agent code (prompt engineering, fine-tuning, CI/CD, monitoring), and working with cross-functional teams. Experience with speech/audio, reinforcement learning, or ML infrastructure is required, with preferred experience in LLM orchestration, RAG, and model evaluation. | AgentData | 8 |
| Senior Software Engineer, Generative AI Senior Software Engineer role focused on implementing Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, leveraging MLOps practices. Requires experience with GenAI techniques, LLMs, Multi-Modal, Large Vision Models, and Agent Development Kit (ADK). | AgentServe | 8 |
| Senior Staff Technical Program Manager, AI Innovation and Research Technical Program Manager to drive strategy and execution for AI agent initiatives transforming the software development lifecycle. This role involves leading complex, cross-functional programs at the intersection of AI and product, focusing on democratizing app creation and building a virtual software engineering workforce. Requires navigating ambiguity from 0-to-1 product phases and partnering with various Google teams to bring self-sustaining agents to life. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Role focuses on taking conversational AI prototypes and transforming them into production-ready agentic workflows for enterprise customers. Responsibilities include architecting conversational flows, building evaluation pipelines and observability frameworks for agents, and collaborating with customer engineering teams. Requires experience in Python, AI systems on cloud platforms, full-stack development, and conversational agent frameworks. | AgentServe | 8 |
| Software Engineer III, Tensor Processing Units, AI/ML Software Engineer III role focused on developing and supporting AI/ML frameworks and compilers for Google Cloud's Tensor Processing Units (TPUs) and Google Processing Units (GPUs). The role involves enabling large-scale training and inference of advanced ML models, including generative models, computer vision, NLP, and speech, with a focus on PyTorch. Collaboration with internal teams and external researchers is key to advancing the PyTorch-in-Cloud offering. | ServePost-train | 8 |
| Software Engineer III, AI/ML GenAI, Google Ads Software Engineer III at Google Ads focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts like LLMs, Multi-Modal, and Large Vision Models, and generation across text, image, video, or audio. | Serve | 8 |
| Software Engineer III, AI/ML, YouTube Shopping Google is seeking a Software Engineer III, AI/ML for their YouTube Shopping team in Zurich. The role involves designing, implementing, and deploying ML models for tasks like Product Detection and Video Classification, building training data pipelines, and ensuring model performance through evaluation frameworks. The engineer will also contribute to the back-end infrastructure for efficient model serving at scale and implement solutions in specialized ML areas. | Post-trainServe | 8 |
| Staff Software Engineer, AI/ML, Agent Assist Staff Software Engineer at Google working on Agent Assist, a Generative AI product for customer experience. The role involves building foundational infrastructure and capabilities for companion AI agents that can reason, use tools, and automate complex tasks at scale, leveraging the latest Agentic AI technologies. The position is focused on developing scalable infrastructure and advanced GenAI features for a core pillar of Gemini Enterprise. | AgentServe | 8 |
| Forward Deployed Full Stack Group Product Manager The Forward Deployed Full Stack Group Product Manager will embed with strategic partner teams to co-build production-ready AI agents and ML efficiency solutions. This hybrid role combines product engineering and orchestration, using AI-native tools and agentic engineering to rapidly prototype and deliver bespoke, high-impact solutions in high-velocity environments. | Agent | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing challenges in integration, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to the product roadmap. | AgentEval Gate | 8 |
| Staff Software Engineer, On-Device Machine Learning Infrastructure Staff Software Engineer focused on building and optimizing on-device ML infrastructure for Google's flagship products, enabling the deployment of models like Gemini Nano and Gemma across various hardware accelerators on Android, Chrome, and more. The role involves creating roadmaps for developer-facing APIs/SDKs, solving complex performance optimization problems for Generative AI on heterogeneous hardware, designing resilient systems, and coordinating efforts across multiple internal teams. | ServePost-train | 8 |
| Software Engineering Manager, Automotive AI Agent Google is seeking a Software Engineering Manager for their Automotive AI Agent team in Zurich, Switzerland. This role involves leading a team to architect and deploy a Gemini-native platform for AI-defined vehicles, focusing on LLM-native orchestration, bidirectional streaming, and omnichannel SDKs. The manager will drive production reliability, partner with OEMs to translate requirements like multi-agent orchestration, and use a data-driven approach to improve driver experience. The role requires strong experience in managing software engineering teams, distributed systems, cloud APIs, and AI/ML technologies, particularly LLMs. | AgentServe | 8 |
