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 IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, and acting as a product catalyst by identifying field patterns and friction points. The role requires shipping production-grade AI-driven solutions, designing and building AI systems on cloud platforms, and leading technical discovery sessions. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. It focuses on integrating Google's AI products with customer infrastructure, developing evaluation pipelines, and providing feedback to product teams. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. |
| AgentServe |
| 9 |
| Customer Engineer, Public Sector Customer Engineer role focused on architecting and managing Large Language Model (LLM) deployments, including on-premises and cloud environments. The role involves auditing multi-agent orchestration, agent construction, and vector databases, orchestrating scalable inference and training environments using Docker and Kubernetes, and securing the MLOps lifecycle against AI-specific threats. Requires significant experience in AI/ML development, infrastructure engineering, and container orchestration. | ServeAgent | 8 |
| Customer Engineer, Public Sector Customer Engineer for Google Cloud Public Sector, focusing on architecting and managing LLM deployments, including on-premises and cloud environments. Responsibilities include auditing multi-agent orchestration, agent construction, vector databases, orchestrating inference and training with Docker/Kubernetes, securing model weights and data, and mitigating AI-specific threats. Requires extensive experience in AI/ML development, infrastructure, and containerization, with a strong security clearance. | ServeAgent | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish) Forward Deployed Engineer III for Google Cloud, focusing on building and deploying production-grade generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Requires strong software development skills, experience with AI systems on cloud platforms, RAG, and vector databases. | AgentServe | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud Forward Deployed Engineer III for Google Cloud's Generative AI team, focusing on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers. This role involves end-to-end engineering, MLOps, cloud infrastructure, and customer-facing technical delivery. | AgentServe | 8 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing production blockers, and providing feedback to the product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and instill best practices with customer teams. | AgentServe | 8 |
| Cloud AI Consultant II, Professional Services (English) This role involves consulting with customers to develop, deploy, and manage custom AI/ML solutions in production using Google Cloud technologies. The consultant will provide technical project management and guidance, working with client executives and technical leaders, as well as internal specialists and partners. | ShipAgent | 7 |
| Business Data Scientist, Ads Marketing Analytics (English) This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns. | Agent | 7 |
| Senior Software Engineer, Full Stack, AI Agents Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp. | Agent | 7 |
