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 IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, and acting as a product catalyst by identifying field patterns and friction points. The role requires shipping production-grade AI-driven solutions, designing and building AI systems on cloud platforms, and leading technical discovery sessions. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. It focuses on integrating Google's AI products with customer infrastructure, developing evaluation pipelines, and providing feedback to product teams. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. |
| AgentServe |
| 9 |
| Customer Engineer, Public Sector Customer Engineer role focused on architecting and managing Large Language Model (LLM) deployments, including on-premises and cloud environments. The role involves auditing multi-agent orchestration, agent construction, and vector databases, orchestrating scalable inference and training environments using Docker and Kubernetes, and securing the MLOps lifecycle against AI-specific threats. Requires significant experience in AI/ML development, infrastructure engineering, and container orchestration. | ServeAgent | 8 |
| Customer Engineer, Public Sector Customer Engineer for Google Cloud Public Sector, focusing on architecting and managing LLM deployments, including on-premises and cloud environments. Responsibilities include auditing multi-agent orchestration, agent construction, vector databases, orchestrating inference and training with Docker/Kubernetes, securing model weights and data, and mitigating AI-specific threats. Requires extensive experience in AI/ML development, infrastructure, and containerization, with a strong security clearance. | ServeAgent | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish) Forward Deployed Engineer III for Google Cloud, focusing on building and deploying production-grade generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Requires strong software development skills, experience with AI systems on cloud platforms, RAG, and vector databases. | 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 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer II 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 production blockers, and providing feedback to the product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and instill best practices with customer teams. | AgentServe | 8 |
| Cloud AI Consultant II, Professional Services (English) This role involves consulting with customers to develop, deploy, and manage custom AI/ML solutions in production using Google Cloud technologies. The consultant will provide technical project management and guidance, working with client executives and technical leaders, as well as internal specialists and partners. | ShipAgent | 7 |
| Business Data Scientist, Ads Marketing Analytics (English) This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns. | Agent | 7 |
| Senior Software Engineer, Full Stack, AI Agents Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp. | Agent | 7 |
| Business Intelligence Developer I, Google Cloud This role focuses on developing AI agents and data infrastructure to create actionable business intelligence and automate reporting for Google Cloud's sales organization. The primary deliverable is an AI agent that integrates with data pipelines to scale business intelligence delivery. | Agent | 6 |
| Vendor Strategy and AI Transformation Lead, GCP Support This role focuses on leading the strategy and transformation of Google Cloud Support's vendor operations, aiming to scale effectively and flexibly. It involves managing a global ecosystem of vendor partners, driving performance, and ensuring quality of service, with an emphasis on leveraging AI tools to optimize workflows and enhance deliverables. | — | 5 |
| User Experience Designer, Agentic Software Development Life Cycle (English) This role is for a User Experience Designer focused on Agentic Software Development Life Cycle. The designer will transform complex tasks into intuitive user experiences, working with UX teams, Engineering, and Product Management. Responsibilities include participating in design critiques, learning new tools and AI literacy, and escalating barriers. Minimum qualifications include a Bachelor's degree, experience with design tools, and a portfolio. Preferred qualifications include experience with LLMs, prompt engineering, agentic AI systems, dynamic interfaces, and Generative AI tools. | — | 5 |
| Vendor Solutions Consultant, Marketing This role is a Vendor Solutions Consultant for Marketing within Google Cloud. The primary focus is on transforming outsourced marketing programs into highly automated, high-velocity engines by embedding an AI-first approach, designing governance frameworks, and reshaping vendor workflows. The role involves co-creating next-generation marketing workflows, scoping and embedding GenAI tools, and driving operational efficiency and scale. | — | 5 |
| AI Sales Specialist, Google Cloud Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to drive business value. The role involves working with customers and cross-functional teams to develop go-to-market strategies and close agreements. | — | 5 |
| Account Executive, Consumer Packaged Goods (English) Account Executive for Google's Consumer Packaged Goods advertising solutions, focusing on leveraging AI to drive customer growth and business performance. The role involves building C-level relationships, developing business plans, and providing thought leadership in the CPG sector, utilizing Google's advertising products across Search, YouTube, and more. | — | 5 |
| Business Intelligence Developer (English) This role focuses on Business Intelligence for Google Cloud Finance, involving data modeling, pipeline development, and dashboard creation. While it mentions applied data science, building models, and statistical/ML techniques, the core function is BI and financial reporting infrastructure, not the direct development or deployment of AI/ML models as a primary deliverable. The role aims to enable decision-making through data analysis and automation within a financial context. | — | 5 |
| Senior Manager, Partner Sales Enablement This role is for a Senior Manager of Partner Sales Enablement at Google Cloud. The primary focus is on developing and executing a comprehensive partner sales enablement strategy, designing learning initiatives, and tracking KPIs to measure program effectiveness. The role involves working cross-functionally with various teams to deliver global learning experiences and requires experience in partner enablement, channel management, or sales training within the cloud computing sector, with a minimum of 7 years of experience. Experience leveraging AI and learning technologies for training initiatives and people management experience are also required. | — | 0 |
| Senior Software Engineer, Dagger, Core Senior Software Engineer role focused on developing APIs, tools, and application frameworks for Android developers, specifically within the Dagger dependency injection system and the First-Party Android app framework. Responsibilities include designing and implementing features, enhancing frameworks with modern Android tools (Kotlin, Coroutines, Jetpack Compose), creating analysis tools to improve app quality and developer experience, and collaborating with app development teams. Requires experience in software development, data structures, algorithms, testing, software design, and architecture, with preferred experience in dependency injection, Android development, and concurrency. | — | 0 |
| Head of Creative Works, SPLatam This role is a leadership position within Google's Large Customer Sales (LCS) team for Spanish Latin America, focusing on driving creative strategies for strategic clients. The Head of Creative Works will manage a team, oversee creative product delivery, consult on client relationships, and partner with various internal teams to align creative strategies with business goals. While the role mentions AI transformation and generative AI technologies, its core function is product sales, strategy, and team management within the advertising domain, not direct AI/ML development or research. | — | 0 |
| Senior Business Intelligence Developer, Google Cloud (English) Develop and implement BI solutions to provide data-driven insights for business decision-making, including designing KPIs, building data infrastructure, transforming data, and automating reporting. | — | 0 |
| Senior Full Stack Software Engineer, Observability Senior Full Stack Software Engineer focused on building and enhancing diagnostic analysis and metric monitoring tools for large-scale applications, specifically within the observability domain. The role involves developing full-stack solutions including backend, SQL databases, and Web UIs, with a focus on performance and reliability for Google's core infrastructure. | — | 0 |
| Software Engineer III, Web Ecosystem Software Engineer III role on the Web Ecosystem team at Google, focusing on improving the developer experience for building web applications. The role involves supporting languages and tools like TypeScript, JavaScript, CSS, Sass, and Wasm, and working on the build pipeline and compilers. Responsibilities include writing and reviewing code, triaging and debugging issues, evolving web development experience, and scaling infrastructure for large web applications. | — | 0 |
| Program Manager II, NPI Technical Infrastructure Deployment Engineering Program Manager II for Technical Infrastructure Deployment Engineering focused on ML hardware and NPI deployments within Google's Data Centers. The role involves managing cross-functional partners, developing deployment schedules, identifying risks, and ensuring clear communication for the Machine Operations and Deployment Engineering (MODE) team. | — | 0 |
| Software Engineer, Education Account Linking Software Engineer role focused on account linking for Google's Education products, enabling users to connect consumer accounts with their Education accounts to share learning experiences across Google services like Classroom, Workspace, and YouTube. The role involves designing and building new software systems, integrating with partner teams, and ensuring best practices in code development and system operations. While Google is experimenting with new AI tools in education, this specific role is not directly building or shipping AI models. | — | 0 |
| Account Executive (English, Spanish) Account Executive role focused on driving revenue growth for Google's products and services by managing client relationships, developing business plans, and executing sales strategies. Requires fluency in English and Spanish, with preferred experience in performance marketing and understanding of Google's AI/ML solutions in the finance sector. | — | 0 |
| Solutions Engineer, Cloud Demo Engineering Solutions Engineer for Google Cloud, focusing on helping clients adopt Google products, solve technical issues, and identify opportunities for innovation. Requires collaboration with clients and cross-functional teams, with a focus on understanding client objectives and technical gaps. | — | 0 |
| Software Engineer, Multiplatform Server Driven UI Software Engineer role focused on developing server-driven UI (SDUI) initiatives, enabling app developers to build captivating experiences by sharing code across Android, iOS, Web, and emerging surfaces. The role involves working on Elements and xUIKit, supporting back-end solutions for SDUI and integrating them on the mobile side, aiming to enhance developer productivity and accelerate time to market. | — | 0 |
| Software Engineer, Mobile on Multiplatform Server Driven UI Software Engineer role focused on supporting the Server Driven UI (SDUI) initiative, which aims to provide a unified mobile framework for creating native-like experiences with web-like productivity across platforms. The role involves writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and debugging issues. | — | 0 |
| Senior Software Engineer, Multiplatform Senior Software Engineer role focused on developing and maintaining a Server Driven UI (SDUI) framework to enhance developer productivity and create consistent, native-like user experiences across multiple platforms (Android, iOS, Web). The role involves writing and testing code, participating in design reviews, code reviews, and triaging/debugging issues. | — | 0 |
| Senior Software Engineer, Full Stack, UX Research Tooling Senior Software Engineer role focused on building and maintaining internal full-stack tooling for UX research at Google. The role involves developing software components, collaborating with stakeholders, and managing projects from ideation to deployment. | — | 0 |
| Software Engineer, Fullstack, Multiplataform (English, Spanish) Software Engineer on the Multiplatform team supporting the Server Driven UI (SDUI) initiative, focused on Elements and xUIKit. The goal is to provide a unified framework for creating native-like experiences with web-like productivity. | — | 0 |
| Software Engineer, CI and Release Advance Technologies Software Engineer role focused on CI and Release Advance Technologies at Google. The role involves developing software lifecycle infrastructure, designing and building full-stack applications and systems within the CI/CD space, and exploring the integration of AI/LLMs/ML into release engineering and software delivery processes. Requires experience in full-stack development and programming languages. | — | 0 |
| Associate Product Marketing Manager Associate Product Marketing Manager role at Google, focusing on defining and executing go-to-market strategies, customer acquisition programs, and product/feature launches. This role involves working with cross-functional teams and contributing to the overall product marketing strategy from beginning to end. | — | 0 |
| Business intelligence Manager, YouTube Marketing (English) This role is for a Business Intelligence Manager on the Global YouTube Marketing team. The primary responsibilities include building and maintaining dashboards to measure marketing strategy, ensuring data quality, and enabling data-driven insights for marketing campaigns. The role requires experience in SQL, dashboard design, and client-facing project management, with preferred experience in big data technologies and advanced analytics involving machine learning. | — | 0 |
| Senior Business Intelligence Developer, Google Cloud (English) Develop and implement BI solutions to provide data-driven insights for business decision-making. Responsibilities include defining KPIs, building data infrastructure (SQL, datasets, models, dashboards), transforming data, leading projects, and automating reporting. | — | 0 |
| Cloud Data Engineer (English, Spanish) Google Cloud Platform team member responsible for interacting with stakeholders to translate customer requirements into solution architectures, designing and migrating data storage and processing infrastructure, implementing data migration strategies, and developing data quality and governance procedures. Requires experience with client-side web technologies, programming languages, and troubleshooting technical issues, with preferred experience in data warehousing, big data, machine learning, and building scalable applications. | — | 0 |
| Software Engineer, Dagger, Core Software Engineer role focused on designing, developing, and supporting APIs, tools, and application frameworks for Android developers, specifically within the Dagger dependency injection framework and the first-party Android app framework. The role involves enhancing frameworks with modern Android development tools like Kotlin and Coroutines, implementing static analysis tools for quality improvement, and working with app development teams for integration. | — | 0 |
| Senior Full Stack Software Engineer, Observability Senior Full Stack Software Engineer focused on observability, performance, and reliability of large-scale applications. The role involves developing and enhancing diagnostic analysis and metric monitoring tools, designing full-stack solutions across backend, SQL databases, and Web UIs, and collaborating with core engineering teams to improve critical applications and mobile infrastructure. Requires experience in Java and Kotlin, with a focus on building scalable and developer-friendly client infrastructure. | — | 0 |
| Senior Software Engineer, Dagger, Core Senior Software Engineer role focused on developing and maintaining APIs, tools, and application frameworks for Android developers, specifically within the Dagger dependency injection system and the First-Party Android app framework. Responsibilities include enhancing frameworks with modern Android tools, implementing analysis tools for app quality, and collaborating with app development teams to integrate products and best practices. Requires experience in software development, data structures, algorithms, testing, and software design/architecture. | — | 0 |
| Full Stack Software Engineer, Observability Full Stack Software Engineer focused on improving the performance and reliability of large-scale applications through diagnostic analysis and metric monitoring tools. The role involves designing, developing, and maintaining full-stack solutions including backend servers, SQL databases, Web UIs, and data visualization, with a focus on user analytics and cross-platform debugging. | — | 0 |
| Program Manager II, Cloud Supply Chain and Operations Program Manager II for Google Cloud Supply Chain and Operations, focusing on resource planning, optimization, and delivery within data center infrastructure. The role involves managing cross-functional projects, developing deployment plans, and collaborating with engineering teams to improve efficiency and automation. A key responsibility is developing machine learning enablement across various reconfigurations and fulfillment strategies. | — | 0 |
| Software Engineer, Apple Build Rules Software Engineer at Google focused on maintaining and improving build rules for Apple platforms (iOS, macOS, tvOS, visionOS, watchOS) using Swift. The role involves ensuring ease of development for Apple platforms, investigating new build system requirements, aligning rules with Apple's standards, and architecting future infrastructure. | — | 0 |
| Mobile Software Engineer, Multiplatform, Early Careers Mobile Software Engineer focused on cross-platform development for Google apps, aiming to reduce code duplication, ensure uniformity, and accelerate time-to-market. The role involves building the technical foundation for flagship products and impacting technical decisions across the company. | — | 0 |
| Software Engineer, Compilers, Runtimes and Toolchains, Early Career Software Engineer on the Compilers, Runtimes and Toolchains (CRT) team, developing features in LLVM optimization and code generation to support build scalability, toolchain velocity, peak performance, and safety. The role involves developing changes to tools and processes, and contributing upstream to LLVM. | — | 0 |