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, with 1186 new openings in the last 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 |
|---|---|---|
| AI/ML Infrastructure Software Engineer Software Engineer focused on building and maintaining the AI Flow Platform, a production service used by thousands of Googlers for various ML tasks including generative AI. The role involves developing end-to-end ML/AI features, incorporating prompt optimization, fine-tuning, and ML best practices into product development, and contributing to the platform's future direction. | ServePost-train | 8 |
| Software Engineer III, AI/ML, Image Recommendation Modeling Software Engineer III at Google on the Ember team, focused on building and scaling ML infrastructure for an AI-powered image recommendation and personalized feed platform. The role involves applying advanced ML and GenAI techniques to create new user experiences, manage the end-to-end ML lifecycle, and collaborate with cross-functional teams to deliver on the product roadmap for Google Images. |
| ShipData |
| 8 |
| Senior Software Engineer, AI/ML, AI and Infrastructure Senior Software Engineer role on the AI and Infrastructure team at Google, focusing on developing and scaling AI/ML capabilities and infrastructure. The role involves writing and testing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and designing/implementing ML solutions leveraging ML infrastructure. Requires experience in Python/C++, software development, ML infrastructure, and specialization in areas like speech/audio, reinforcement learning, or other ML fields. | ServePost-train | 8 |
| Applied AI and ML Engineer II This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within the finance domain. The engineer will build and scale AI agents, design system architectures for reliability and auditability, and implement evaluation frameworks and guardrails. The role requires experience in classical ML and LLMs, full-stack development, and working in regulated environments. | AgentServe | 8 |
| Forward Deployed Developer III, Generative AI, Google Cloud (English, Portuguese) This role involves acting as an embedded builder for Google Cloud, developing and deploying bespoke agentic AI solutions within customer environments. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, and vector databases, with a focus on transitioning AI from prototypes to production-grade agentic workflows. | AgentServe | 8 |
| Forward Deployed Engineer II, Applied AI, Google Cloud (English, Portuguese) Forward Deployed Engineer II for Google Cloud's Applied AI team, focusing on transforming conversational AI prototypes into production-ready, scalable, and secure agentic workflows for enterprise customers. This role involves end-to-end engineering, building Eval pipelines, and collaborating with customer teams. | AgentServe | 8 |
| Applied AI and ML Engineer This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within Google's finance organization. The engineer will build and scale AI agents, design system architectures prioritizing reliability and auditability, and implement evaluation frameworks and guardrails. The role involves translating finance problems into technical specifications and partnering with stakeholders to drive AI-native workflows and efficiency. | AgentServe | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud Forward Deployed Engineer III for Google Cloud's Generative AI team, focusing on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers. This role involves end-to-end engineering, MLOps, cloud infrastructure, and customer-facing technical delivery. | AgentServe | 8 |
| Senior Staff Software Engineer, Generative AI Senior Staff Software Engineer role focused on Generative AI within Google Cloud's Applied AI team, specifically powering business growth with Gemini Enterprise solutions like Shopping Agent and CX Agent Studio. The role involves technical leadership, influencing distributed teams, and designing/developing/deploying large-scale software solutions with a focus on GenAI techniques and ML infrastructure. | ShipServe | 8 |
| Forward Deployed Engineer II, Applied AI, Google Cloud Forward Deployed Engineer II, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers. Responsibilities include leading the end-to-end engineering lifecycle, architecting conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and identifying field patterns to improve the AI stack. Requires experience with software development, cloud platforms, and deploying resources via tools like Terraform. Preferred qualifications include experience with multi-agent systems, RAG, and troubleshooting live systems. | AgentServe | 8 |
| Staff Software Engineer, Ads in AI Experiences Staff Software Engineer role focused on developing AI-powered advertising experiences by translating product concepts into ML tasks within the core AI-mode model. The role involves guiding product direction, formulating technical strategy, exploring emerging technologies, and working with cross-functional teams across Ads, Search, Deep Mind, and Google Research. Requires experience with ML/AI tools, frameworks, platforms, and LLMs, with a focus on building user-visible features. | Ship | 8 |
| Forward Deployed Engineer III, Google Cloud, Applied AI The Forward Deployed Engineer III role focuses on transforming conversational AI prototypes into production-ready solutions for enterprise customers on Google Cloud. This role involves end-to-end engineering, including architecting agentic workflows, building evaluation pipelines, and ensuring scalability and security. It requires strong software engineering, MLOps, and cloud infrastructure skills, with a focus on customer success and leveraging Google's AI portfolio. | AgentServe | 8 |
| Software Engineer III, Generative AI, Agent Engineering Software Engineer III, Generative AI, Agent Engineering role focused on applying Google's Generative AI to solve real-world challenges for strategic customers. The role involves building, deploying, and optimizing AI agents on the CES platform, acting as a specialized software engineer embedded with key accounts. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing feedback to core product teams. The role also involves systematizing learnings into reusable tools and best practices, and guiding customers on agent performance and production readiness. | Agent | 8 |
| Software Engineer, Content Safety Software Engineer focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, for Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training and evaluation workflows, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on ensuring product safety and responsible AI principles. | AgentData | 8 |
| Senior Software Engineer, Generative AI, Core ML Senior Software Engineer role focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure for agents, including knowledge stores and self-reflection modules, to enable autonomous learning and improvement. Responsibilities include applying design principles to transition logic from prompts to code-based workflows, scaling automated prompt optimization, and implementing safety enforcements for agent reliability. The goal is to bridge the gap between prototypes and scalable production infrastructure for generative AI agents. | AgentServe | 8 |
| Technical Program Manager, Agentic Capabilities and Product Integration, DeepMind Technical Program Manager at Google DeepMind responsible for bridging core AI research with product integration, focusing on agentic capabilities and features. The role involves scoping, planning, and delivering complex technical programs, leading cross-functional collaborations, managing dependencies and risks, and evaluating API designs and agentic workflows to drive product launches. | Agent | 8 |
| Staff Software Engineer, Generative AI, Core Machine Learning Staff Software Engineer focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure, including Knowledge Store libraries and self-reflection modules, to improve the quality, reliability, and efficiency of AI agents. Key responsibilities include extracting deterministic logic from prompts into code-based workflows, scaling automated prompt optimization, and implementing code-level safety enforcements. | Agent | 8 |
| Forward Deployed Architect Manager, Generative AI, Google Cloud Manager for a Generative AI Forward Deployed Architect team in Google Cloud, responsible for leading architects in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment, and resolving production-level obstacles related to AI maturity. Key responsibilities include setting technical standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tools, and collaborating on roadmaps and internal tools. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI Manager of a GenAI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, strategic alignment with Product, Engineering, and Sales, and resolving production-level obstacles like data readiness, integration, and state management. The role involves leading technical hiring, identifying skill gaps in emerging AI tech, and collaborating with product/engineering to translate field insights into roadmaps. | Agent | 8 |
| Staff Software Engineer, CoreOS Agentic Engineering Staff Software Engineer role focused on Agentic Engineering within Google's CoreOS. The role involves conceptualizing, developing, and productionizing AI-driven strategies to optimize Google's global compute performance and operating system. Responsibilities include designing and building large-scale software solutions, leading teams, and developing tools for monitoring and testing. | Agent | 8 |
| Principal Engineer, YouTube Shorts, Viewer Feed Quality Principal Engineer for YouTube Shorts Viewer Growth team, focusing on improving viewer recommendations through advanced AI/ML. Responsibilities include setting technical strategy, building high-quality feeds, defining viewer metrics, and integrating user interests and real-time responsiveness. Collaborates with cross-functional teams on next-gen infrastructure and generative AI. | Ship | 8 |
| Staff Software Engineer, AI-Powered GRC Automation Staff Software Engineer to build an AI-powered platform for automating and scaling Governance, Risk, and Compliance (GRC) functions within Google Cloud and Technical Infrastructure. The role involves defining technical strategy, architecting scalable solutions, and leading the development of AI/ML models for continuous monitoring, privacy enforcement, audits, and risk reporting. Responsibilities include assessing data quality, building data pipelines, and understanding control objectives for AI-enhanced monitoring. | AgentData | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud AI Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud AI. The role involves leveraging ML infrastructure, evaluating different techniques, and working with state-of-the-art GenAI concepts like LLMs and Multi-Modal models. Requires strong programming skills (Python/C++) and experience with ML infrastructure and software development. | Agent | 8 |
| Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Software Engineer role focused on Generative AI for YouTube Ads, specifically optimizing creative generation and optimization using ML models and GenAI techniques. The role involves implementing ML infrastructure, developing models, and creating novel ad formats to drive advertiser value. | ShipPost-train | 8 |
| Staff Software Engineer, Deep Data Research, Applied AI Staff Software Engineer for Google's Applied AI team, focusing on building and scaling conversational AI agents for enterprise customers. The role involves driving technical strategy, architecture, and execution for large-scale AI platforms, collaborating with model builders, and delivering new capabilities with agility. | Agent | 8 |
| Senior Software Engineer, Applied AI/ML, CSP Senior Software Engineer role focused on Applied AI/ML within the Content Safety Platform at Google. The role involves technical leadership, designing and developing large-scale software solutions, and optimizing ML infrastructure. Key responsibilities include safeguarding users from harmful content, influencing technical direction, mentoring engineers, and leading the implementation of ML solutions, model optimization, and data processing strategies. Experience in speech/audio, reinforcement learning, or other ML fields, along with ML infrastructure experience, is required. | ServePost-train | 8 |
| Software Engineer, Android/Chrome, Security Infrastructure Software Engineer role focused on building AI-driven tooling and agents to enhance the supply chain security of Android, Chrome, and ChromeOS. The role involves developing solutions for source code trust, build integrity, infrastructure hardening, and third-party risk management, with a focus on detecting suspicious patterns and automating security processes. | Agent | 8 |
| Student Researcher, 2026 Student Researcher role focused on foundational research and advancing the state of the art in AI systems for Google products. The role involves participating in research projects to develop solutions for real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 8 |
| Senior Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Senior Software Engineer role focused on Generative AI for creative optimization in YouTube Ads. The role involves developing machine learning models and infrastructure for creative generation and optimization, working with GenAI and ML models to create novel ad formats and experiences. It requires experience in software development, ML infrastructure, and GenAI techniques. | AgentPost-train | 8 |
| Senior Staff Research Data Scientist, AI Data This role focuses on improving AI model performance through the development of new methodologies for training data, including data acquisition and insights. The Senior Staff Research Data Scientist will work with large datasets, solve complex data science problems, and collaborate with product and model teams to advance AI. | Data | 8 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on deploying bespoke generative AI and agentic solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud This role focuses on taking conversational AI prototypes and transforming them into production-ready, scalable, and secure AI systems for enterprise customers. The FDE will lead technical delivery for Conversational AI pilots, establish customer user journeys, and architect/code agentic workflows, evaluation pipelines, and observability frameworks. The role requires strong software engineering, ML operations, and cloud infrastructure skills, with an emphasis on building full-stack applications that integrate with enterprise IT. | AgentServe | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Compute Software Engineer III role focused on implementing GenAI solutions within Google Cloud Compute, 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. | ServePost-train | 8 |
| Machine Learning Hardware Architect, TPU This role focuses on architecting and defining specifications for next-generation high-performance computing systems, specifically TPUs, to accelerate AI/ML applications. The individual will collaborate with software teams to define AI workload requirements, perform architecture studies for performance and efficiency, and influence technical roadmaps for hardware-software platforms. The goal is to drive the evolution of AI hardware for large-scale systems and data centers. | Serve | 8 |
| Software Engineer, On Device Machine Learning Software Engineer role focused on adapting and serving AI/ML models for on-device execution, creating AI-powered user-facing features, and optimizing model performance on hardware accelerators. Involves model adaptation, serving infrastructure, quality testing, and customization for specific domains. | ServePost-train | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship and strategic alignment with Product, Engineering, and Sales leadership. | Agent | 8 |
| Senior Data Scientist, GeminiApp, DeepMind Senior Data Scientist at Google DeepMind working on the GeminiApp, focusing on developing data-driven product strategies, building and deploying ML models to enhance product capabilities and personalize user experience, and collaborating with the GenAI team on model quality and feature adoption. The role involves translating ambiguous questions into well-defined problems, designing experiments, analyzing large datasets, and communicating insights to stakeholders. | Ship | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. This role involves end-to-end engineering, architecting agentic workflows, developing evaluation pipelines, and ensuring best practices. | AgentServe | 8 |
| Senior Product Manager, GenAI Media Safety Product Manager responsible for ensuring the safety of Generative AI features for video, image, and audio on YouTube. This involves defining safety principles, developing AI-powered systems for risk management, and building evaluation protocols and safety platforms. | ShipEval Gate | 8 |
| Senior Product Manager, Cloud AI, Gemini API Senior Product Manager for Google Cloud's Gemini API, focusing on next-generation agentic capabilities. The role involves bridging research breakthroughs with developer-friendly abstractions for the Gemini Enterprise Agent Platform, targeting enterprise developers with a focus on compliance and controls. Responsibilities include defining product strategy for agents, improving developer tools for building and governing agents, evolving the Interactions API, and leading product lifecycle from 0-to-1 launches. | Agent | 8 |
| Staff Software Engineer, NotebookLM, Generative AI, Labs Staff Software Engineer focused on designing, developing, and maintaining robust evaluations for NotebookLM Chat and Content Studio features. This role involves improving evaluation infrastructure, defining quality metrics, and staying updated on LLM evaluation techniques within Google's Labs group, which incubates early-stage AI efforts. | Eval Gate | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (English, Korean) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy agentic solutions within customer environments. Focuses on technical mentorship, strategic alignment, and resolving production obstacles using Google's AI portfolio and Vertex AI platform. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. The role involves leading technical delivery for Conversational AI pilots, architecting agentic workflows, building evaluation pipelines, and collaborating with customer engineering teams. | AgentServe | 8 |
| Software Engineering Manager, AI/ML Manage a team of engineers focused on scaling data optimization techniques to improve the performance and quality of ML models. This role involves partnering with research teams and ML practitioners to build engineering tools, processing pipelines, and integration with existing workflows, ultimately supporting user adoption and advancing Google's AI goals. Experience with GenAI infrastructure and ML research/development workflows is preferred. | DataPost-train | 8 |
| Software Engineer, Agentic AI Systems, Cloud Security Software Engineer role focused on building next-generation agentic AI systems for Google Cloud Security, aiming to protect major organizations worldwide by developing foundational AI platforms and scaling security agents. | Agent | 8 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with applied AI, pre-trained models, RAG, and cloud platforms, with a focus on enterprise-grade AI maturity. | AgentEval Gate | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English) Forward Deployed Engineer for GenAI on Google Cloud, focusing on integrating frontier AI products into customer production environments. Responsibilities include managing integration and data readiness issues, deploying AI systems, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with Python, ML packages, applied AI (prompt engineering, fine-tuning, RAG, orchestration), and cloud platforms. Fluency in Japanese and English is necessary. | AgentServe | 8 |
| Staff Engineering Analyst Manager, Veo and Robotics This role leads a team of engineering analysts focused on AI safety for foundational models like Gemini, Veo, and Robotics. Responsibilities include developing introspection heads, post-training models for safety alignment, building LLM-based safeguards, and generating insights from model logs. The role emphasizes collaboration across Google DeepMind and Trust & Safety, strategic direction for model launches, and rigorous auditing of model safety. | Post-trainAgent | 8 |
| Software Engineer, Generative AI, Workspace Software Engineer role focused on building and scaling Generative AI products within Google Workspace, impacting billions of users. Involves architecting models and infrastructure, collaborating with researchers and PMs, and developing high-quality code for AI-powered productivity tools like Gmail and Docs. | Ship | 8 |
| Senior Staff Software Developer, AI/ML GenAI, Google Workspace Senior Staff Software Developer role focused on developing and deploying GenAI solutions within Google Workspace, impacting billions of users. The role involves technical leadership, ML infrastructure optimization, and driving the strategy for state-of-the-art GenAI applications. | ShipServe | 8 |
