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 |
|---|---|---|
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying production-grade agentic AI solutions with strategic partners on Google Cloud. It focuses on integrating AI into customer environments, addressing production blockers, and providing feedback to Google's product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and mentor partner teams. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, Gen AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer III, Gen AI, to build and deploy bespoke agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products, addressing production blockers, and providing feedback to product roadmaps. Responsibilities include developing AI applications, architecting integrations, building evaluation pipelines and observability frameworks, and co-building with customer teams. |
| AgentEval Gate |
| 9 |
| Forward Deployed Engineering Manager, Gen AI Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with product and sales, and resolving production-level obstacles like data readiness, integration, and state management to achieve enterprise-grade AI maturity. | Agent | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud This role involves building and deploying bespoke agentic AI solutions within customer environments using Google Cloud's AI portfolio, including Gemini models and Vertex AI. The engineer will address integration, data readiness, and state management challenges, architect connective tissue between AI products and customer infrastructure, build evaluation pipelines, and provide feedback to the product roadmap. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. | AgentServe | 8 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, identifying new AI use cases, and resolving technical blockers to accelerate customer time-to-value. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Customer Engineer AI, Financial Services, Google Cloud Customer Engineer specializing in Gemini Enterprise, partnering with Technical Sales to integrate generative AI into enterprise environments. The role involves architecting secure, data-connected solutions beyond chat interfaces, engaging with customers to understand requirements, and presenting solutions on Google Cloud. It requires blending business expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud's AI portfolio. | Agent | 7 |
| Customer Engineering Manager, Data Analytics, Google Cloud This role is for a Customer Engineering Manager for Data Analytics at Google Cloud, focusing on accelerating customer success by providing technical expertise and leading a team of subject matter experts. The role involves modernizing data architectures for AI readiness, leading the data-for-AI technical community, influencing product roadmaps, and leading technical engagements with strategic customers. While the role focuses on enabling customers with AI, the core responsibility is customer engineering and management, not direct AI/ML model development or research. | — | 5 |
| Customer Engineer Associate, Platform, Google Cloud Customer Engineer Associate for Google Cloud, focusing on enterprise AI solutions. This role involves partnering with technical sales teams to understand customer business challenges, architect cross-pillar cloud solutions, conduct proofs of concept, and drive technical wins. The role requires a blend of technical expertise, sales acumen, and communication skills to demonstrate the value of Google Cloud's AI innovations to customers. | — | 5 |
| AI Adoption Customer Engineer Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for AI solution engineering and deployment. | Agent | 5 |
| Director of Communications, ANZ Director of Communications for Google ANZ, responsible for driving integrated comms strategy, managing a team, and communicating about products, company culture, and policy issues. This role involves creating campaigns, building relationships with media and influencers, and advising executives. A key responsibility is to innovate communication methods and apply AI to enhance impact. | — | 0 |
| Senior Software Engineer, Network Security, GGI Security This role is for a Senior Software Engineer focused on Network Security within Google's Global Infrastructure Security team. The responsibilities include writing and testing code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. The role requires experience in software development, full-stack development, testing, and software design/architecture, with preferred qualifications in advanced degrees and technical leadership. | — | 0 |
| Technical Solutions Consultant, Google Photos This role is a Technical Solutions Consultant for Google Photos, focusing on the technical relationship with advertising clients and product partners. The consultant will lead cross-functional teams to leverage emerging technologies, oversee technical execution, and develop product strategy. While the role mentions machine intelligence and computer vision in the context of Google Photos, the core responsibilities are client-facing technical solutions and partnership management, not direct AI/ML model development or deployment. | — | 0 |
| Front-End Software Engineer, Google Photos Front-End Software Engineer for Google Photos in Sydney, focusing on web features for organizing, backing up, and sharing photos. The role involves delivering new features and architectural improvements, collaborating with other Photos teams, and ensuring a great user experience. | — | 0 |
| Senior Product Data Scientist, Google Photos Product Data Scientist for Google Photos, focusing on analyzing user trends, defining KPIs, identifying growth opportunities, and collaborating with cross-functional teams to improve the product. | — | 0 |
| Software Engineer, Payments Identity Software Engineer role focused on building and integrating intelligent, automated identity verification workflows for Google Payments, ensuring compliance with international regulations and contributing to digital trust and safety. | — | 0 |
| Account Manager, Google Customer Solutions Account Manager for Google Customer Solutions, focusing on helping small and medium-sized businesses grow using Google's advertising solutions. The role involves building client relationships, understanding business needs, developing strategies, and ensuring campaign success. While AI is mentioned as a tool for working smarter, the core function is sales and account management, not AI/ML development. | — | 0 |
| Software Engineer, Mobile (iOS), Google Photos Software Engineer role focused on iOS mobile app development for Google Photos, specifically on user onboarding and growth. The role involves collaborating cross-functionally, designing and implementing features, and improving software architecture. While Google Photos utilizes machine intelligence, this specific role is centered on client-side mobile engineering. | — | 0 |
| Software Engineer, Sovereign Cloud | — | — |