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 |
| Cloud AI Consultant, Professional Services (English) This role involves consulting with enterprise clients to develop, deploy, and manage custom AI/ML solutions on Google Cloud Platform. The consultant will provide technical project management, solution architecture, and best practice guidance, working closely with clients, partners, and internal Google teams to ensure successful implementation and adoption of AI technologies. |
| Ship |
| 7 |
| 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 Sales Specialist Manager, Google Cloud This role is for an AI Sales Specialist Manager at Google Cloud, responsible for leading a team to grow the AI business by building customer relationships, driving pipeline, and meeting sales goals. The manager will partner cross-functionally, develop go-to-market plans, and influence strategic direction by identifying AI use cases for Google Cloud products and solutions. Minimum qualifications include 12 years of sales experience in enterprise software, cloud, or AI, with leadership experience and experience selling AI technology. | — | 5 |
| AI Sales Specialist, Google Cloud (English, Spanish) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to deliver business value. The role involves working with customers and cross-functional teams to develop go-to-market strategies and drive pipeline growth. | — | 5 |