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 II, GCC Forward Deployed Engineer II, GCC role focused on embedding with customers to build, deploy, and productionize bespoke agentic AI solutions using Google Cloud's AI portfolio. Responsibilities include architecting integrations, developing agentic workflows, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in software development, ML, NLP, generative AI agents, and DevOps, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 9 |
| Senior Machine Learning Engineer, GenAI, Google Cloud Senior Machine Learning Engineer focused on building and optimizing generative AI solutions for Google Cloud customers. This role involves working across the full stack of AI, from models and APIs to agent building blocks and specialized applications, with a strong emphasis on production environments and technical leadership. |
| AgentServe |
| 9 |
| Software Engineer, GKE, PhD, Early Careers Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI. | AgentServe | 8 |
| Staff Full Stack Software Engineer, GKE Agentic Experience Staff Full Stack Software Engineer on the GKE Agentic Experience team, responsible for leading the design, development, and deployment of full-stack applications and services that leverage large language models and agentic systems to simplify cluster management, enhance feature discovery, and automate complex tasks within the Google Kubernetes Engine (GKE) ecosystem. The role involves contributing to technical strategy, mentoring engineers, and collaborating across teams. | Agent | 7 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning and enterprise data to create a platform for enterprise search, assistants, and agents, enabling users to interact with internal systems, summarize information, generate content, and take actions. The focus is on horizontal use cases spanning multiple industries and building reusable components for enterprise customers. | Agent | 7 |
| Senior Software Engineer, AI Agent Ecosystem, ADK Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale. | Agent | 7 |
| Senior Software Engineer, Vertex AI, Workbench Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI. | AgentServe | 7 |
| Software Engineer III, Backend Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders. | Agent | 7 |