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 |
|---|---|---|
| Research Scientist, AQUA, DeepMind Research Scientist at DeepMind India focused on developing foundational capabilities in Large Models for Artificial General Intelligence (AGI) by advancing autonomous agents through reinforcement learning and ML optimization methods. The role involves designing, implementing, and evaluating models and agents, pushing the boundaries of RL, and collaborating with Responsible AI teams. Requires a PhD, experience with ML frameworks, deep learning, RL, and a publication record. | AgentPost-train | 10 |
| Senior Product Manager, AI Garage Senior Product Manager for AI Garage at Google, focusing on defining and delivering AI-powered agentic products for HR processes. The role involves shaping AI-native product strategy, writing PRDs for systems with non-deterministic behavior (including fine-tuning and RAG), partnering with researchers on model requirements, pioneering multi-agent execution frameworks, and implementing LLM evaluation systems. Requires deep technical fluency in generative AI and experience launching technical products. |
| AgentPost-train |
| 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer to build and deploy generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. The engineer will also build evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Senior Software Engineer, AI/ML Senior Software Engineer role focused on developing and scaling Agentic AI and ML systems within the HR domain for Google employees. The role involves technical leadership, collaboration with stakeholders, and staying updated on AI/ML trends, with a strong emphasis on building multi-agent systems and generative AI solutions. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud 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, resolving production obstacles, and collaborating with Product, Engineering, and Sales leadership. The role focuses on bridging the gap between frontier AI products and production-grade reality for enterprise customers. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud Lead a team of AI/ML engineers focused on deploying bespoke agentic solutions within customer environments for Google Cloud's Public Sector and Education clients. This role involves technical mentorship, strategic alignment with sales and product leadership, and resolving production-level obstacles to achieve enterprise-grade AI maturity. The team leverages Google's frontier AI models and Vertex AI platform to solve complex business problems. | Agent | 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 |
| 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 |
| Senior Software Engineer, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
| Software Engineering Manager, Agentic Search Software Engineering Manager for Agentic Search at Google, responsible for leading a team of engineers, driving product strategy, and overseeing the development and deployment of large-scale AI/ML and information retrieval systems. The role involves technical leadership, people management, and fostering AI innovation within the team. | Agent | 7 |
| Scaled Abuse Lead, YouTube Trust and Safety Lead a team of analysts to identify and remove abusive content and users on YouTube using machine learning models, advanced analytics, and behavioral signals. Drive insights on abuse detection effectiveness and develop strategies to reduce uncaught badness. | Agent | 7 |
| Software Engineering Manager, API Hub Google Cloud AI Research team is looking for a Software Engineering Manager to lead the engineering roadmap for the API Hub, transforming it into a repository for AI Assets like APIs, MCP Servers, and Agents. The role involves driving technical integrations, recruiting and mentoring engineering teams, and providing architectural guidance for cloud-native and AI-integrated systems. The ideal candidate will have experience managing engineering teams and architecting distributed systems, with a preference for experience in LLMs, Generative AI, and Agentic AI. | Agent | 7 |
| Staff Software Engineer, AI Garage Staff Software Engineer for the AI Garage team at Google, focusing on developing AI/ML systems and Agentic solutions within the HR domain. The role involves technical leadership, designing and building scalable Agentic systems, and collaborating with stakeholders to translate needs into technical solutions. Requires experience with Generative AI, Agentic AI, LLMs, and AI evaluations. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agent deployments. It requires experience in computational linguistics, building chatbots/voicebots, and NLP concepts. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms like Dialogflow, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agents. The role requires experience in computational linguistics or software engineering, and building chatbots or voicebots. | Agent | 7 |
| Software Engineering Manager, Databases, Google Cloud Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management and AI-assisted troubleshooting for enterprise users. The role involves leading a team of engineers, contributing to product strategy, and overseeing the development and deployment of large-scale AI/ML features for various Google Cloud databases. | AgentServe | 7 |
| Senior Salesforce Architect, Go-to-Market, Google Play This role focuses on architecting and implementing generative AI features, LLM-based applications, and self-supporting agents on the Salesforce platform for Go-to-Market teams. The Senior Salesforce Architect will lead technical solutions, drive business automation, and partner with various teams to define technical strategy. | Agent | 7 |
| Product Manager, AI Garage Product Manager for Google's AI Garage, focusing on applying AI and agentic workflows to solve HR challenges for Google's global workforce. The role involves driving the product lifecycle from ideation to launch, collaborating with AI/ML engineers and data scientists, and translating user needs into product requirements. | Agent | 7 |
| Senior Software Engineer, DevAI, Core Google is seeking a Senior Software Engineer to join the DevAI, Core team, focusing on building agentic solutions to automate code maintenance within Google3. This role involves designing, developing, and testing these solutions, partnering with distributed teams, and contributing to the Self-Maintaining Codebase (SMC) organization's goal of reducing code evolution costs and technical debt. | Agent | 7 |
| Engineering Manager Engineering Manager for Google Cloud's Access Intelligence team, focusing on building an intelligent security layer for IAM using machine learning and Generative AI to achieve 'Least Privilege' and 'Zero Standing Privileges'. The role involves leading a team, driving technical direction, and overseeing the development and deployment of scalable security features for Agentic AI. | Agent | 7 |
| Practice Customer Engineer II, Cloud AI, Manufacturing and Conglomerate Customer Engineer specializing in AI for manufacturing and conglomerate industries, focusing on accelerating adoption of complex AI workloads, developing prototypes, and providing technical expertise to customers. The role involves integrating AI models with enterprise data using RAG and agent patterns, coding in Python/JS/Go/Java, and providing feedback to product development. | Agent | 7 |
| Senior Software Engineer, Server AI Foundations, Core Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure. | Agent | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include technical leadership, deployment planning, and accelerating customer time-to-value by resolving technical blockers and identifying new use cases. | Agent | 5 |
| Web Solutions Engineer, Technology and Insights Partnership Systems YouTube This role involves designing, building, and deploying scalable web applications and back-end services for YouTube's content partner ecosystem. A key responsibility is integrating AI/ML technologies into business platforms to enhance operational capacity and provide conversational analytics. The role requires modernizing legacy systems, managing data pipelines, and collaborating with stakeholders to translate business needs into engineering solutions. Experience with full-stack development, system design, and AI/ML technologies like LLMs, vector embeddings, RAG, and agentic AI is preferred. | Agent | 5 |
| Engineering Analyst, Trust and Safety, YouTube This role focuses on using and improving LLMs for content moderation and abuse prevention on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving anti-abuse experiments. The role requires experience in data analysis, project management, and programming languages like Python or SQL, with a preference for machine learning systems experience. | Agent | 5 |
| Enterprise Architect, Professional Services, Google Cloud This role focuses on designing and implementing cloud-native solutions for enterprise clients, with a specific emphasis on integrating advanced AI and agentic workflows. The Enterprise Architect will act as a trusted advisor to executive stakeholders, translating business needs into technical roadmaps and overseeing the technical execution of cloud transformations. While not directly building AI models, the role is critical in architecting systems that leverage and orchestrate AI capabilities for business solutions. | Agent | 5 |