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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).

Hiring
498 / 1188
Momentum (4w)
↓-151 -12%
1101 opens last 4w · 1252 prior 4w
Salary range · avg $233k
$98k–$1030k
USD · disclosed roles only
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
1 new role
Mar 6
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1 new role
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1 new role
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1 new role
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3 new roles
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1 new role
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6 new roles
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4 new roles
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6 new roles
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1 new role
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4 new roles
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4 new roles
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11 new roles
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1 new role
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7 new roles
9
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11 new roles
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13 new roles
Mar 2
20 new roles
9
10 new roles
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28 new roles
23
70 new roles
30
76 new roles
Apr 6
191 new roles
13
218 new roles
20
203 new roles
27
288 new roles
May 4
334 new roles
11
298 new roles
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265 new roles
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355 new roles
Jun 1
385 new roles
8
302 new roles
15
285 new roles
22
129 new roles
29

Frequently asked questions

  • What AI roles is Google hiring for?

    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.

  • What stage of AI development does Google focus on?

    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.

  • Where is Google hiring AI talent?

    Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).

  • What skills does Google look for in AI roles?

    Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.

  • How many AI roles has Google posted recently?

    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).

Jobs (9)

498 AI · 1491 total active
FilteredCountryJapan×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 28Pretrain · 31Post-train · 73Serve · 271Agent · 539Eval Gate · 44Ship · 202
Function
AllEngineering · 970Product · 111Research · 107
Country
AllUnited States · 751India · 92Singapore · 78United Kingdom · 44Switzerland · 41Canada · 31Poland · 31Taiwan · 26Brazil · 20Israel · 14Australia · 13Ireland · 11Mexico · 10Japan · 9Germany · 6Spain · 5France · 4South Korea · 4Sweden · 4China · 3Chile · 2Hong Kong · 2Argentina · 1Colombia · 1Italy · 1Netherlands · 1Romania · 1South Africa · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Forward Deployed Engineer, GenAI, Google Cloud (English, Japanese)
This role involves deploying and customizing Generative AI (GenAI) solutions for enterprise customers on Google Cloud. The engineer will build agentic workflows, integrate AI products with customer infrastructure, develop evaluation and observability pipelines, and provide feedback to product teams. The role requires strong software development skills, experience with AI systems, RAG, vector databases, and the ability to work with both technical and non-technical stakeholders in Japanese and English.
AgentEval GateEngineeringTokyo, Japan2w ago9
Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English)
Google Cloud is seeking a Partner Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with strategic partners to build, debug, and ship bespoke, scalable agentic AI solutions directly within customer environments. The FDE will address production blockers, integration complexities, data readiness, and state-management challenges, aiming to bring AI to enterprise-grade maturity. Responsibilities include developing complex AI applications, building evaluation pipelines and observability frameworks, identifying patterns for product feature requests, and helping partners build their own agentic delivery capabilities. The role requires strong technical skills in cloud computing, AI systems architecture, data pipelines (vector databases, RAG), and communication in both Japanese and English.
AgentEval Gate
Engineering
Tokyo, Japan
4w ago
9
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Manager for a Forward Deployed Engineering team focused on deploying bespoke generative AI and agentic solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management.
AgentEngineeringTokyo, Japan6w ago8
Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English)
This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with applied AI, pre-trained models, RAG, and cloud platforms, with a focus on enterprise-grade AI maturity.
AgentEval GateEngineeringTokyo, Japan6w ago8
Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English)
Forward Deployed Engineer for GenAI on Google Cloud, focusing on integrating frontier AI products into customer production environments. Responsibilities include managing integration and data readiness issues, deploying AI systems, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with Python, ML packages, applied AI (prompt engineering, fine-tuning, RAG, orchestration), and cloud platforms. Fluency in Japanese and English is necessary.
AgentServeEngineeringTokyo, Japan6w ago8
Forward Deployed EngineerⅡ, GenAI, Google Cloud (Japanese, English)
Role is an embedded builder focused on deploying AI systems, specifically agentic workflows, into production for enterprise customers on Google Cloud. Responsibilities include architecting connections, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with applied AI, pre-trained models, RAG, and cloud platforms.
AgentServeEngineeringTokyo, JapanApr 178
Forward Deployed Engineer I, Generative AI, Google Cloud (Japanese, English)
Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and ship bespoke agentic solutions within customer environments. This role involves integrating Google's AI products with customer infrastructure, addressing production blockers, and providing feedback to product teams. The engineer will develop production-grade agentic workflows, build evaluation pipelines, and co-build with customer teams.
AgentServeEngineeringTokyo, JapanApr 178
Cloud Engineer, AI/ML, Professional Services, Google Cloud (English, Japanese)
Google Cloud Consulting Professional Services team seeks a Cloud AI Engineer to design and implement ML solutions for enterprise customers, leveraging Google Cloud products like TensorFlow, DataFlow, and Vertex AI. The role involves customer engagement, solution deployment, workshops, and collaboration with product teams. Requires strong software development and ML experience, cloud architecture knowledge, and fluency in Japanese and English.
ShipServeEngineeringTokyo, Japan6w ago7
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Manager for a Forward Deployed Engineering team focused on deploying bespoke agentic AI solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. Emphasis on designing and deploying multi-agent workflows, RAG systems, and tool-calling capabilities.
AgentEngineeringTokyo, Japan7w ago7