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 |
|---|---|---|
| Senior Technical Program Manager Lead, Gemini Audio, DeepMind Senior Technical Program Manager Lead for Gemini Audio at Google DeepMind, focusing on end-to-end model quality across the AI lifecycle. The role involves collaborating with researchers, data scientists, and serving/deployment teams to manage model training priorities, design and execute evaluations, and oversee the entire release cycle for foundational audio models. This includes checkpoint uploads, documentation, deployment coordination, capacity planning, and cross-functional testing, with a strong emphasis on applying deep AI evaluation methodologies and driving strategic outlook with high agency. | Eval GatePost-train | 9 |
| Clinical Specialist, Mental Health This role focuses on evaluating AI model performance in mental health safety and quality applications, providing clinical leadership and guidance for AI projects within Google for Health. The specialist will leverage clinical expertise to influence product development and ensure AI tools improve health journeys. |
| Eval Gate |
| 7 |
