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 |
|---|---|---|
| Forward Deployed Engineer IV, Generative AI, Google Cloud (English, Portuguese) This role involves building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will act as an embedded builder, addressing integration, data, and state management challenges, and providing feedback to product teams. Responsibilities include developing agentic workflows, architecting integrations, building evaluation pipelines, and identifying product improvements. | AgentServe | 9 |
| Senior Software Engineer, Applied AI/ML, CSP Senior Software Engineer role focused on Applied AI/ML within the Content Safety Platform at Google. The role involves technical leadership, designing and developing large-scale software solutions, and optimizing ML infrastructure. Key responsibilities include safeguarding users from harmful content, influencing technical direction, mentoring engineers, and leading the implementation of ML solutions, model optimization, and data processing strategies. Experience in speech/audio, reinforcement learning, or other ML fields, along with ML infrastructure experience, is required. |
| ServePost-train |
| 8 |
| Senior Software Engineer, Agentic Ecosystem Platform Senior Software Engineer to drive technical direction and architecture for an Agentic Ecosystem Platform. This role involves designing, developing, and scaling infrastructure for agentic operations, integrating with third-party and first-party systems. The engineer will build reliable platforms powering next-generation capabilities across major Google products, partnering with cross-functional teams to define strategy and best practices. Responsibilities include developing implementations on generalist models, designing tool orchestration, leading technical delivery of integrations, and mentoring engineers. | Agent | 8 |
| Forward Deployed Developer III, Generative AI, Google Cloud (English, Portuguese) This role involves acting as an embedded builder for Google Cloud, developing and deploying bespoke agentic AI solutions within customer environments. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, and vector databases, with a focus on transitioning AI from prototypes to production-grade agentic workflows. | AgentServe | 8 |
| Senior Software Engineer, Information Agents Senior Software Engineer role focused on building the Electric Platform for Google's Information Agents, enabling proactive assistance through "informational journeys" and autonomous agents within Search and AI Mode. Responsibilities include designing multi-thread agent architecture, browser-use capabilities, and managing research signals for user-facing features. The role aims to redefine the Search stack by delegating complex information needs to autonomous agents, ensuring scalable delivery and high-quality, concise updates. | Agent | 7 |
| Software Engineer, Agentic Ecosystem Platform Software Engineer to build and scale core components of Google's Agentic Ecosystem Platform, focusing on third-party integrations and expanding to first-party systems. The role involves designing, developing, and maintaining infrastructure for agentic operations, translating technical requirements into reliable solutions that integrate across major Google products. Responsibilities include contributing to infrastructure design, building domain-specific features leveraging generalist models, executing tool orchestration, writing code for cross-product compatibility, and ensuring adherence to data governance policies. | Agent | 7 |
| Software Engineer III, Agentic Ecosystem Platform Software Engineer to build and scale core components of Google's Agentic Ecosystem Platform, focusing on third-party integrations and supporting agentic operations across major Google products like AIM and Gemini. The role involves designing, developing, and maintaining robust infrastructure for agentic operations, translating technical requirements into reliable solutions, and enhancing system scalability. | Agent | 7 |
| Staff Software Engineer, AI/ML, Contextual Suggest Staff Software Engineer at Google working on AI/ML for Contextual Suggest, focusing on recommendation systems, ML infrastructure, and integrating AI breakthroughs into user-facing features and backend systems for Google Search. The role involves technical leadership, design, implementation, and deployment of models in production. | ShipServe | 7 |
| 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 |
| Engineering Manager, Egregious Abuse Protection This Engineering Manager role focuses on leading a team to protect users and the platform against Violent Extremism (VE) and Non-Consensual Intimate Imagery (NCII). The role involves managing software engineers, shaping technical roadmaps, and integrating generative AI tools or LLM interfaces into workflows for abuse detection and mitigation. The team builds foundational technical systems for Google's products, emphasizing robust, privacy-sensitive, and scalable distributed systems. | Ship | 5 |
| Manager, Ads Solution Engineering Manager for Ads Solution Engineering team at Google, focusing on leading engineers to develop and scale technical solutions for advertisers using Google Ads. The role involves driving AI and automation initiatives, collaborating with cross-functional teams, and delivering strategic goals to unlock growth for the Google Ads Business. | — | 5 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer role focused on Generative AI solutions for enterprise clients on Google Cloud. Responsibilities include technical advisory, solution design, proof-of-concepts, and guiding customers in adopting agentic AI systems. Requires experience with cloud-native architecture, programming languages, and agentic AI frameworks. | — | 5 |
| Vendor Solutions Consultant, Marketing This role is a Vendor Solutions Consultant for Marketing within Google Cloud. The primary focus is on transforming outsourced marketing programs into highly automated, high-velocity engines by embedding an AI-first approach, designing governance frameworks, and reshaping vendor workflows. The role involves co-creating next-generation marketing workflows, scoping and embedding GenAI tools, and driving operational efficiency and scale. | — | 5 |
| Senior Software Engineer, Account and Device Integrity This role is for a Senior Software Engineer on the Authorization team, specifically within the Managed Access Control sub-team. The team builds systems that use trust models to proactively restrict access to Google products based on an account's trust level, aiming for proportional and fair enforcement. The role involves designing and implementing robust back-end systems, optimizing authorization solutions for high-QPS and low-latency, and using data analysis to improve automated restriction and remediation mechanisms. While the role mentions utilizing data analysis and has preferred qualifications in ML infrastructure, its core function is building and optimizing access control systems, not directly shipping AI/ML models or agents as the primary deliverable. | — | 0 |
| Senior Staff Software Engineer, User Protection Senior Staff Software Engineer role focused on technical leadership for platform evolution within User Protection at Google. The role involves replacing legacy operational infrastructure for critical products like Gemini, Gmail, Maps, and Search, ensuring new genAI launches are safer and protected from abuse. It requires collaboration with distributed engineering teams, product management, and stakeholders to define and execute strategy, mentor engineers, and drive technical decisions across the company. | — | 0 |
| Ads Solutions Engineer, gTech Ads Solutions Engineering (English, Portuguese) This role focuses on technical implementation, optimization, and providing foundational services and forward-looking business solutions to top advertiser and publisher customers within Google's gTech Professional Services team. The Ads Solutions Engineer will partner with regional stakeholders, product teams, and specialists to drive customer and business growth by building platforms and automating workflows for scaled ad solutions. The role involves scoping, designing, building, and owning the lifecycle of scaled solutions, adapting existing bespoke solutions into globally reusable ones. | — | 0 |
| Senior Ads Solutions Engineer, gTech Ads Solutions Engineering (English, Portuguese) This role focuses on engineering solutions for Google Ads, involving technical implementation, optimization, and scaling solutions globally. The engineer will collect requirements, design and build reusable solutions, adapt existing solutions for global scale, and manage the solution lifecycle. The role requires strong client-side web technologies, coding experience, and troubleshooting skills, with preferred experience in ML, cloud, and databases. | — | 0 |
| Software Engineer, Early Career (For Women in Tech Candidates) Google is seeking early-career Software Engineers, specifically targeting candidates from Women in Tech backgrounds, to develop next-generation technologies that impact billions of users globally. The role involves working on critical projects at massive scale, requiring versatility, leadership, and enthusiasm for tackling new challenges across the full technology stack. Engineers contribute to a robust engineering culture and best practices, with opportunities to work on diverse areas including information retrieval, distributed computing, AI/ML, NLP, and more. | — | 0 |
| Tech Lead, Software Engineering (For Women in Tech Candidates) Google is seeking a Tech Lead Software Engineer to design, develop, test, deploy, maintain, and improve software applications. The role involves working on projects critical to Google's needs, with opportunities to switch teams and projects. Candidates should have a broad set of technical skills, leadership qualities, and enthusiasm for tackling new problems across the full-stack. Experience with large-scale distributed systems, APIs, search ranking systems, or ML systems is preferred. | — | 0 |
| Software Engineering Manager (For Women in Tech Candidates) Manage a team of software engineers, lead project planning and execution, and contribute to product strategy within a large technology company. The role involves technical leadership, team development, and overseeing the deployment of large-scale projects. | — | 0 |
| Software Engineer (For Women in Tech Candidates) Software Engineer role at Google focusing on developing next-generation technologies that impact billions of users. The role involves working on various aspects of software development, including information retrieval, distributed computing, large-scale systems, AI, NLP, UI design, and mobile. Candidates are expected to provide technical leadership and team development, with a minimum of 5 years of software development experience and 3 years of experience in testing, maintaining, or launching software products. | — | 0 |
| Early Career Software Engineer, People with Disabilities Software Engineer role at Google, focusing on developing next-generation technologies across various domains including AI/NLP, distributed computing, and system design. Requires a Bachelor's degree and 1 year of software development experience. Machine learning experience is preferred. | — | 0 |
| Software Engineering Manager, People with Disabilities Software Engineering Manager role at Google, focused on leading teams and projects within various technical domains including AI and NLP, but the core of the role is management and technical leadership, not direct AI/ML development. | — | 0 |
| Software Engineer, People with Disabilities Software Engineer role at Google focusing on developing next-generation technologies. Requires experience in software development, data structures, algorithms, and software design/architecture. The role involves technical leadership and team development, with opportunities to work on various projects across the full stack. | — | 0 |
| Tech Lead, Software Engineering, People with Disabilities Software Engineer role at Google, focusing on developing and improving software applications, managing priorities, and collaborating on scalability. The role involves full-stack development and requires experience in software design, architecture, and launching products. Preferred qualifications include technical leadership and experience with large-scale distributed systems, APIs, Search Ranking systems, or ML systems. | — | 0 |
