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 |
|---|---|---|
| Forward Deployed Engineer III, GCC (French, German) Google Cloud is seeking a Forward Deployed Engineer III to build and deploy agentic AI solutions for enterprise customers. This role involves bridging the gap between frontier AI products and production-grade reality, architecting and coding connective tissue, and building evaluation pipelines and observability frameworks. The engineer will also act as a product catalyst by identifying friction points and converting them into product feature requests. The role requires experience in designing and deploying NLP models and Generative AI agents, implementing MLOps pipelines, and building generative AI solutions in a customer-facing capacity. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Consulting Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management issues. Responsibilities include leading AI application development, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying friction points for product feedback, and co-building with customer teams. |
| AgentEval Gate |
| 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud Forward Deployed Engineer (FDE) at Google Cloud, embedding with customers to build and ship bespoke agentic AI solutions. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Focuses on production-grade agentic workflows, evaluation pipelines, and observability. | AgentServe | 9 |
| Privacy and Security Technical Assurance Lead, RCI This role leads AI security assurance testing programs, focusing on independent technical validation and oversight of AI/ML controls. It involves offensive security testing, threat modeling, and collaborating with engineering and legal teams to ensure compliance with AI regulations. The primary output is the assurance testing framework and identified vulnerabilities, with a secondary focus on the security of tuned AI models. | Eval GatePost-train | 8 |
| Google Cloud Consulting Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is hiring a Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with customers to build and deploy bespoke agentic AI solutions, bridging the gap between frontier AI products and production realities. Responsibilities include developing agentic workflows, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires software development experience, cloud platform expertise, and experience with RAG and vector databases, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud Forward Deployed Engineer III for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions for enterprise customers. This role involves integrating Google's AI products (like Gemini and Vertex AI) into customer environments, addressing integration complexities, data readiness, and state management. Responsibilities include developing production-grade agentic workflows, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product improvement, and co-building with customer teams. Requires strong software development skills (Python), experience with cloud AI systems, RAG, vector databases, and leading technical discovery. Preferred experience includes multi-agent systems and LLM-native metrics. | AgentEval Gate | 8 |
| Staff Engineering Analyst This role focuses on analyzing and mitigating AI-driven threats within Google's ad traffic quality systems. The individual will identify future misuse vectors, develop proactive mitigation plans, and lead initiatives to implement next-generation safety measures, including fine-tuning techniques and classifier-based guardrails. They will partner with engineering teams to improve ad traffic infrastructure and defense systems using advanced machine learning, and innovate methods to incorporate AI models for improving manual review operations and generating insights. | AgentPost-train | 7 |
| Ads Solutions Engineering Manager, gTech Lead a team of Customer and Partner Solutions Engineers to develop and scale advertising solutions for customers, focusing on technical implementation, optimization, and engineering solutions. Provide thought leadership and develop new AI solution offerings, driving automation and integration with AI for complex workflows. | — | 5 |
| Scaled Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, providing technical demonstrations, advising customers on AI-driven transformations, and architecting GCP solutions with AI/ML at their core. | — | 5 |
| Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, owning technical aspects of solutions, and acting as a strategic technical advisor by architecting GCP solutions with AI/ML at their core. | — | 5 |
| Ads Solutions Engineer, gTech This role focuses on building and scaling technical solutions for Google's advertising clients, leveraging emerging technologies and engineering skills to automate workflows, adapt existing solutions, and drive customer growth. The role involves a technical relationship with clients, cross-functional collaboration, and owning the solution lifecycle from discovery to maintenance. | Ship | 5 |
| Senior Business and Marketing Data Scientist This role focuses on applying data science and advanced analytics to solve business and marketing challenges within Google. The Senior Business and Marketing Data Scientist will translate business problems into analytical solutions, develop statistical models, improve data pipelines, and build evaluation metrics. The role involves partnering with internal teams, driving strategic initiatives, and influencing stakeholders to deliver customer-centric, data-driven insights for marketing and product impact. While AI tools may be used, the core function is not building AI models but rather applying data science for business insights and optimization. | — | 5 |
| Data and Measurement Account Manager This role is for a Data and Measurement Account Manager at Google, focusing on helping clients leverage Google's advertising and measurement solutions, including AI-powered tools, to maximize their marketing investments and drive business growth. The role involves managing client portfolios, advising on technical solutions for data collection and activation, and leading digital transformation projects. | — | 5 |
| Software Engineer III, Global Network Technology, Google Cloud Software engineers at Google develop next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on handling information at massive scale, with opportunities to work on various aspects including distributed computing, large-scale system design, networking, data storage, security, AI, NLP, UI design, and mobile. The engineer will write product or system development code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. | — | 0 |
| Software Engineer II, Google Cloud, Infrastructure Software Engineer II at Google Cloud, focusing on developing and maintaining scalable backend services and infrastructure for modeling planet-scale networks. The role involves building and optimizing distributed storage and processing systems, with a strong emphasis on code quality and operational excellence. Requires experience in software development, data structures, algorithms, and large-scale infrastructure. | — | 0 |
| Creator Experience Policy Analyst, YouTube Monetization Trust and Safety This role focuses on implementing policy principles into actionable enforcement guidelines for a video rater pool, reviewing controversial content, handling escalations, researching trends, and increasing efficiency through automation. While it mentions using generative AI for automation as a preferred qualification, the core responsibilities do not involve building or directly deploying AI/ML models. | — | 0 |
| Senior Ads Solutions Engineer, gTech This role focuses on engineering solutions for Google Ads, building and scaling platforms to support customer growth and enhance ad experiences. It involves collecting requirements, designing and building reusable solutions, adapting existing ones for global scale, and managing the full solution lifecycle. The role requires strong technical skills in client-side web technologies and programming languages, with experience in cloud and machine learning being preferred. | — | 0 |
| Senior Software Engineer, Fleet Maintenance Software Engineer role at Google Cloud focused on developing and maintaining scalable software components for cloud platforms, with a strong emphasis on system design, distributed systems, and cloud-based applications. The role involves full-stack development, code reviews, debugging, and contributing to architectural decisions. | — | 0 |
| Security Analyst I This role is for a Security Analyst I in the Mandiant Threat Defense (MTD) SOC, focusing on frontline defense against cyber threats. Responsibilities include analyzing security events, conducting forensic analysis, executing file analysis, determining incident severity, and isolating compromised hosts. The role requires a Bachelor's degree in Cyber security or equivalent experience, with 2 years in a SOC or Information Security role. Preferred qualifications include scripting experience and experience working with Artificial Intelligence. | — | 0 |
| Content Strategist (Fixed-Term Contract) This role is for a Content Strategist at Google, focusing on developing and managing help and support content for users and customer care agents across various channels. The role involves collaborating with global stakeholders, optimizing content workflows, and designing content experiences. While the role may use AI-enabled tools for content creation, its core function is not AI/ML development. | — | 0 |
| Engineering Manager, WAN Core Google is seeking an Engineering Manager for its WAN Core team in Dublin, Ireland. This role involves managing a team of software engineers, providing technical leadership, and overseeing the design, development, and deployment of large-scale networking projects. The ideal candidate will have extensive experience in software engineering, team management, and distributed systems design. | — | 0 |
| Account Manager, Google Shopping Solutions, Early Careers (German) Account Manager for Google Shopping Solutions, focusing on retail advertisers in Central Europe. The role involves acting as a primary point of contact, providing product expertise, offering optimization recommendations, and driving merchant growth and loyalty. It requires strong communication skills in German and experience in sales, business development, advertising, or marketing. | — | 0 |
