Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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.
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
