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 |
|---|---|---|
| Software Engineer, AI-Empowered Security Software Engineer role focused on building AI-powered security tools and automated pipelines for Google Cloud. The role involves writing backend code, designing APIs, assessing security of distributed systems, and analyzing telemetry to implement automated fixes. It requires experience in software development and at least one year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML field, along with security engineering experience. | Agent | 7 |
| Customer Engineer III, Applied AI, Google Cloud Customer Engineer III, Applied AI, Google Cloud. This role focuses on providing technical expertise in Conversational AI and customer experience, bridging business issues with Generative AI solutions. The engineer will act as a subject matter expert, lead architect for AI frameworks, and help customers design and implement AI solutions from proof-of-concept to production. Responsibilities include advising customers, guiding AI solution integration, developing PoCs/MVPs, and collaborating with product management. |
| Agent |
| 7 |
| Product Manager, Advertiser and Business Intelligence AI Product Manager for AI features and enterprise business intelligence tools within the Customer Engagement team for Google Ads. The role focuses on building AI-driven chat and automated tool features to optimize advertiser health and support, connecting business and technical aspects from conception to launch. | Agent | 7 |
| Staff Software Engineer, AI-Empowered Security, Cloud CISO Staff Software Engineer role focused on AI-Empowered Security within Google Cloud CISO Security Engineering. The role involves architecting and scaling platforms that automate security checks, designing and evaluating AI-driven security capabilities, and leading identification of AI opportunities. It requires experience with large-scale distributed systems, security engineering, and AI/ML infrastructure, with a preference for experience in Generative AI, LLM-based applications, or multi-agent orchestration systems. | AgentServe | 7 |
| Software Engineer, AI/ML, Chronicle Security Software Engineer role focused on building AI/ML solutions for Google's Chronicle Security product, involving AI agents, LLM applications, ML infrastructure, model optimization, and large-scale data processing within a security context. | AgentData | 7 |
| Technical Program Manager III, Agentic Automation, Platforms and Devices Technical Program Manager III role focused on Agentic Automation within Google's Platforms and Devices team. The role involves leading cross-functional program execution, defining milestones, creating automated processes using AI/ML tools, and managing risks and dependencies for projects in the Agentic Automation pillar. Requires experience with Generative AI, LLMs, and ML. | Agent | 7 |
| Photos Mission Tech Lead, Applied AI, Full Stack Google Photos is seeking a Mission Tech Lead for Applied AI, focusing on Generative AI product features. This role involves defining long-term engineering goals, technical strategy, and architectural roadmaps, with a strong emphasis on prototyping and validating zero-to-one Generative AI concepts. The position requires extensive full-stack development experience, including back-end (Java, Python, GO, C++) and front-end (JavaScript, TypeScript), as well as experience with Generative AI Agents. | Agent | 7 |
| Senior Technical Solutions Consultant Senior Technical Solutions Consultant responsible for the technical relationship of Google's largest advertising clients and/or product partners. This role will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. The role will lead the end-to-end architecture and implementation of a Digital Twin ecosystem for Google’s consumer hardware product design and manufacturing, integrating Vertex AI/Gemini Enterprise to pioneer autonomous agents that drive agentic insights and action automations. | AgentServe | 7 |
| Senior UX Designer, Cloud AI Senior UX Designer for Google Cloud AI, focusing on designing the user experience for enterprise AI agents, including orchestration, reasoning transparency, and human-in-the-loop oversight. The role involves creating foundational UX frameworks, interfaces for complex AI reasoning, and human-AI collaboration mechanisms. | Agent | 7 |
| Technical Lead, Machine Learning, Google Play Technical Lead for Machine Learning in Google Play, focusing on improving AI features using Gemini prompts, computer vision, and experimental validation. The role involves designing and building infrastructure for AI response quality and collaborating with research teams. | AgentEval Gate | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| Cloud AI Technical Program Manager III Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. The role involves guiding the delivery of AI products, including agent platforms and model deployment, requiring deep technical and product understanding to manage complex AI programs from start to finish. | AgentPost-train | 7 |