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 III, Generative AI, Google Cloud (Spanish, English) Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. The FDE acts as a bridge between frontier AI and production reality, providing deployment expertise and feeding back field insights to Google's product roadmap. Requires strong software development skills, experience with AI systems, RAG, vector databases, and fluency in Spanish and English. | AgentEval Gate | 9 |
| Practice Customer Engineer, Data and Analytics, Google Cloud Customer Engineer for Google Cloud's Data and Analytics practice, focusing on large enterprise accounts. The role involves partnering with technical business teams to showcase Google Cloud's data analytics and intelligent systems capabilities, designing cloud architectures, and leading proofs-of-concept. Responsibilities include troubleshooting data lifecycle issues, ensuring ML-ready infrastructure, and driving product adoption. The role requires strong technical, communication, and organizational skills, with a focus on differentiating Google Cloud from competitors. |
| — |
| 5 |
| AI and Knowledge Strategist, gTech Ads This role focuses on leveraging AI-powered solutions within the Google Ads ecosystem, specifically by defining content strategies, translating business needs into AI prompts, and ensuring AI responses are accurate and grounded. It involves developing and refreshing content (including interactive AI) and managing AI guardrails to mitigate risks like hallucinations. | Agent | 5 |
| 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 |
| Cloud Data Engineer, (English, Spanish) Google Cloud Platform team seeks a Data Engineer in Buenos Aires to help customers transform their business using cloud technology. The role involves engaging stakeholders, designing and migrating data infrastructure, implementing data quality procedures, and managing project timelines. Requires a Bachelor's degree in a related field or equivalent experience, proficiency in client-side web technologies, coding in languages like Python, and bilingual fluency in English and Spanish. | — | 0 |
| Sector Lead, Retail, Large Costumer Sales (English, Spanish) | — | — |