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 |
|---|---|---|
| Software Engineering Manager, Automotive AI Agent Google is seeking a Software Engineering Manager for their Automotive AI Agent team in Zurich, Switzerland. This role involves leading a team to architect and deploy a Gemini-native platform for AI-defined vehicles, focusing on LLM-native orchestration, bidirectional streaming, and omnichannel SDKs. The manager will drive production reliability, partner with OEMs to translate requirements like multi-agent orchestration, and use a data-driven approach to improve driver experience. The role requires strong experience in managing software engineering teams, distributed systems, cloud APIs, and AI/ML technologies, particularly LLMs. | AgentServe | 8 |
| Forward Deployed Architect, Generative AI, Google Cloud The Generative AI Forward Deployed Architect will build and deploy reference agentic solutions for enterprise customers on Google Cloud. This role involves integrating AI models with existing infrastructure, addressing data readiness and state management issues, and building evaluation pipelines for accuracy, safety, and latency. The architect will also act as a feedback loop to inform Google Cloud's product roadmap. |
| AgentServe |
| 8 |
| Staff Software Engineer, Games, Inception, DeepMind Staff Software Engineer at Google DeepMind's Inception group, focused on building AI-powered interactive experiences for games. The role involves designing and implementing generative models and agentic workflows into game mechanics, leading integration of streaming models into game engines, and architecting 0-to-1 systems. Requires strong technical leadership, game tech R&D experience, and experience with AI/ML integration. | AgentServe | 8 |
| Software Engineering Manager, BigQuery, Agentic AI This role is for a Software Engineering Manager in Google's BigQuery Analytics AI organization, focusing on building agentic solutions and developer experiences for the data lifecycle. The manager will lead a team in designing and developing next-generation agentic solutions, including agents, skills, and tools for data ingestion, pipelines, feature extraction, and model training. Key responsibilities include developing the technical roadmap, collaborating cross-functionally, and iterating on agentic frameworks with sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation at scale. The role requires experience in Generative AI, Agentic Technologies, and people management, with a focus on building AI-native data journeys and AI-accelerated developer experiences. | Agent | 8 |
| Senior Software Engineering Manager, Cloud Applied AI, Agent Building This role is for a Senior Software Engineering Manager at Google's Cloud Applied AI team, focusing on developing AI customer support agents. The manager will lead a team, define technical roadmaps, and work with customers and partners to build and deploy generative AI solutions for chat and voice interfaces. The role requires strong technical leadership, people management, and experience with GenAI techniques and ML infrastructure. | Agent | 8 |
| Software Engineer III, AI/ML, Google Cloud Storage Software Engineer III role at Google Cloud Storage focused on building Agentic AI solutions for autonomous storage management. The role involves designing and building the core architecture of AI products to manage cloud objects, automate tasks, tag data, and improve GenAI accuracy and security. | Agent | 8 |
| 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. | AgentServe | 8 |
| Senior Business Data Scientist, AI/ML, Google Cloud This role focuses on developing and deploying advanced AI/ML solutions, particularly LLMs and intelligent autonomous agents, to drive customer success in Google Cloud. It involves end-to-end development, implementation of evaluation frameworks, production monitoring, and identifying new AI/ML opportunities by collaborating with stakeholders and researching advancements in the field. | AgentEval Gate | 8 |
| 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. | AgentServe | 8 |
| Staff Software Engineer, Generative AI, Data Analytics Staff Software Engineer focused on building data agents for Google Cloud's BigQuery. The role involves leading technical strategy, architectural design of the core reasoning engine, and driving cross-functional collaboration to bridge the gap between raw data and business-ready answers. Emphasis on engineering excellence, performance, reliability, and observability of production-critical agent services. Mentoring engineers and refining high-impact problems in data-centric AI capabilities. | Agent | 8 |
| Senior Software Engineer, AI/ML GenAI, YouTube Senior Software Engineer at Google's YouTube focusing on GenAI solutions. The role involves designing and implementing GenAI features, leveraging ML infrastructure, and evaluating different techniques. Requires strong programming skills in Python/C++, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques like LLMs and Multi-Modal models. | Agent | 8 |
| Senior Software Engineer, AI/ML GenAI, GCP Senior Software Engineer role focused on designing and implementing GenAI solutions using ML infrastructure within Google Cloud. Requires experience in programming, ML infrastructure, software testing, and Generative AI techniques. | Agent | 8 |
| Staff Software Engineer, Cloud Applied AI, Agent Building Staff Software Engineer role focused on building and deploying AI agents for enterprise customers within Google Cloud. The role involves direct customer partnership, co-development, and contributing to core product codebases, with a strong emphasis on taking product ideas from conception to full-scale production rapidly. Responsibilities include technical guidance on agent improvement, performance tuning, and CI/CD pipelines. | Agent | 8 |
| Senior Staff Research Scientist, App and Ecosystem Trust Research Scientist role focused on Android security and AI agent safety, developing novel research and agent-powered systems to detect and prevent various forms of abuse. The role involves analyzing codebases using ML and collaborating with internal and external partners. | Agent | 8 |
| Staff Research Scientist, App and Ecosystem Trust Research Scientist focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, analyzing codebases using machine learning, and collaborating with internal and external partners to improve defenses against evolving threats. | Agent | 8 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer II to build and deploy agentic AI solutions within customer environments. This role involves transitioning prototypes to production-grade workflows, architecting integrations, building evaluation and observability pipelines, and providing feedback to product teams. The ideal candidate has experience with Python, ML packages, applied AI, RAG, fine-tuning, and cloud platforms, with preferred experience in multi-agent systems and LLM optimization. | AgentServe | 8 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing production blockers, and providing feedback to the product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and instill best practices with customer teams. | AgentServe | 8 |
| Senior Software Engineer, Google Cloud Generative AI Blackbelt Team Senior Software Engineer on the Google Cloud Generative AI Blackbelt Team, focusing on building and deploying Generative AI and AI Agent capabilities for enterprise customers. The role involves end-to-end software development, including design, testing, deployment, and maintenance of AI-driven solutions. | Agent | 8 |
| Software Engineer, AI Application and Agentic Development Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools. | AgentServe | 8 |
| Senior Staff Software Engineer, ML Infrastructure, Agents Infrastructure Senior Staff Software Engineer focused on building and scaling ML infrastructure for conversational agents in an enterprise AI context. The role involves designing and implementing back-end services, agent APIs, and infrastructure for autonomous tool use and multi-step goal achievement. It also includes developing analysis systems for massive data streams and robust monitoring/explainability frameworks, with collaboration with Google DeepMind and Vertex AI. | AgentServe | 8 |
| Software Engineering Manager, Google Photos Android Manage and lead a team of Android engineers building AI-powered user-facing features for Google Photos, focusing on LLM integration, agent capabilities, and multi-modal understanding to enhance user interaction and simplify tasks. The role involves technical leadership, people management, and scaling LLM infrastructure. | AgentServe | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Ads Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Ads, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. Requires strong programming skills, experience with ML infrastructure, and a solid understanding of GenAI concepts. | Agent | 8 |
| Security Engineering Manager, Trust and Safety, Gemini and Labs Security Engineering Manager for Google's Trust and Safety team focused on Gemini and Labs generative AI products. The role involves leading strategy, research, and execution to combat novel GenAI threats, providing technical leadership in cyber-security, intelligence, and threat analysis, and mentoring a team to build defenses against the misuse of generative models and agents. Responsibilities include identifying risks, translating insights into mitigation goals, providing technical leadership for anti-abuse defenses, leading adversarial simulations and assessments, and directing incident response. | Agent | 8 |
| Staff Software Engineer, ML Quality, Applied AI Staff Software Engineer focused on building and optimizing agents for customer experience, leveraging Gemini and Vertex AI. The role involves developing automated systems for agent creation and refinement, embedding AI into client-facing infrastructure, and establishing engineering benchmarks for optimization. This is an applied AI role within enterprise AI, focusing on building full-stack concierge agents for sales and support. | Agent | 8 |
| Senior Software Engineer, AI/ML, Shopping Senior Software Engineer role focused on building a 'Business Analyst Agent' using Gemini/AI for Google Shopping. The agent will help merchants by answering performance-related questions, identifying opportunities, and acting on their behalf. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning. | AgentServe | 8 |
| 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 |
| Senior Security Engineer, Uppercase Research This role focuses on building and scaling autonomous security operations using AI agents and LLM-driven pipelines. The engineer will design and deploy intelligent agentic workflows for threat hunting and automated detection, transforming static security workflows into self-correcting, LLM-driven pipelines that automate the detection lifecycle. The role involves deep-dive technical analysis of adversary behavior to train ML models and ground agentic workflows, and creating tooling to support automated security operations. | Agent | 7 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
| 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 |
| Staff Software Engineer, AI Intelligent Database Management Staff Software Engineer role focused on building and managing AI-assisted intelligent database management systems for enterprises. The role involves developing agentic experiences and LLM-based conversational agents to monitor and manage database fleets at scale, integrating with cloud databases and GCP services. Requires strong software engineering skills with significant experience in ML design, ML infrastructure optimization, and GenAI techniques. | AgentServe | 7 |
| Software Engineer, Android Trust Software Engineer role focused on protecting Android users from abusive apps by developing and scaling analysis platforms, implementing system-level code for deep inspection, and architecting defense strategies for agentic AI threat models. The work involves supervised/unsupervised ML and generative AI for security violations, static/dynamic program analysis, and threat mitigation. | 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 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer 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, resolving technical blockers, and identifying new AI use cases. Requires experience with AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Senior Software Engineer, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
| Senior Developer Relations Engineer, AI Foundation and Security Senior Developer Relations Engineer for AI Foundation and Security at Google. This role involves building production-ready AI applications, integrating AI into secure workflows, demonstrating deployment at scale, and creating content to drive developer adoption of Google Cloud and Google AI. The role also involves providing feedback on AI features and influencing product roadmaps. | Agent | 7 |
| AI Customer Engineer, Google Cloud (Korean, English) Customer Engineer specializing in Gemini Enterprise, partnering with technical Sales teams to integrate Generative AI into complex enterprise environments. Focuses on architecting robust, secure, and data-connected solutions, blending sales, market knowledge, and technical engagement to prove the value of Google Cloud's AI portfolio. | Agent | 7 |
| Technical Program Manager, Applied Technical Expertise Enablement, GCP Technical Program Manager focused on enabling Google Cloud developers with AI expertise. This role involves leading the creation and execution of technical learning strategies, authoring and curating content, and designing learning experiences that help engineers build AI-native features and AI-first products. The position bridges traditional CS systems, Cloud product development, and AI-driven engineering, with a focus on practical application and adoption of AI tools within learning. | Agent | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer for Google's AI Automotive team, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a strong emphasis on software design, architecture, and engineering excellence. | Agent | 7 |
| Director, Product Management, Shopping Graph Enrichment Director of Product Management for Google's Shopping Graph enrichment and personalization portfolio. This role sits at the intersection of platform strategy and advanced machine learning, focusing on transforming the product catalog to power personalized shopping assistants and organic search. Key areas include scaling signal collection for fulfillment, using ML to organize brand and user content, and leveraging personal data for recommendations. The role requires influencing engineering, data science, and senior leaders across Google's ecosystem, managing sensitive first-party data responsibly, and operating with high autonomy. | Agent | 7 |
| Staff Software Engineer, YouTube Ads Marketplace Optimization Staff Software Engineer at Google YouTube Ads, focusing on optimizing ad marketplace through large-scale AI systems that model user interests. The role involves leading ML/AI/SW engineers, designing and developing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Experience with production recommendation systems, ML design, ML infrastructure, and integrating generative AI tools is required. | AgentServe | 7 |
| Software Engineer, AI/ML, Ads Data Software Engineer, AI/ML role at Google Ads focusing on building agentic workflows, LLM features, or generative AI solutions. Requires experience in Python, C++, and designing AI solutions within a business context, with a focus on privacy. | Agent | 7 |
| Software Engineering Manager, Agentic Search Software Engineering Manager for Agentic Search at Google, responsible for leading a team of engineers, driving product strategy, and overseeing the development and deployment of large-scale AI/ML and information retrieval systems. The role involves technical leadership, people management, and fostering AI innovation within the team. | Agent | 7 |
| Head of Agentic Business Intelligence, Google Cloud Lead a team defining the intersection of enterprise Business Intelligence and Generative AI, focusing on integrating agentic workflows and conversational analytics within Looker for Google's global Go-To-Market Sales organization. This role will define the long-term goals, architecture, and infrastructure for the "Frictionless Intelligence" initiative, creating a blueprint for enterprise Google Cloud adoption. | Agent | 7 |
| Software Engineering Manager II, YouTube Posts Discovery Software Engineering Manager II for YouTube Posts Discovery team, leading a team focused on applied machine learning recommendations to drive Posts Feed growth and quality. This role involves managing engineers, developing technical understanding of search and discovery systems, and partnering with cross-functional teams. | Agent | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. The role involves owning the end-to-end roadmap for effects in the camera and editor, defining strategy for first-party and branded effects, and pioneering agentic workflows to scale effect production. Requires experience with Generative AI and consumer product management. | AgentData | 7 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer focused on enterprise AI solutions. The engineer will act as an enterprise architect and technical debugger, bridging pre-sales and post-sales execution. Responsibilities include shaping solutions for adoption, leading technical design for integration of models and agents, debugging complex implementation issues, and serving as a liaison to product and engineering teams. The role involves ensuring seamless integration into customer IT ecosystems, including connectors, identity, and data residency, and driving technical delivery strategy. The position emphasizes solving business problems with Google's AI portfolio and Vertex AI platform. | AgentServe | 7 |
| Engineering Manager, Egregious Abuse Protection Engineering Manager for Egregious Abuse Protection, focusing on preventing severe real-world harms like CSAM and child endangerment across Google's flagship products. The role involves developing and deploying advanced abuse-fighting technologies using ML models, heuristics, and data analysis, and managing engineering efforts to protect services and build tools for user trust and external partners. | Agent | 7 |
| Scaled Abuse Lead, YouTube Trust and Safety Lead a team of analysts to identify and remove abusive content and users on YouTube using machine learning models, advanced analytics, and behavioral signals. Drive insights on abuse detection effectiveness and develop strategies to reduce uncaught badness. | Agent | 7 |
| Staff Software Engineer, Google Cloud Agentic AI Google is seeking a Staff Software Engineer to lead the design and development of an AI-enabled ecosystem for transforming product introduction and software development life cycles. This role involves building an intelligent launch assistant using LLMs and agentic AI to automate recommendations and streamline workflows, replacing fragmented legacy systems with a unified, scalable architecture. | Agent | 7 |
| Staff Engineering Analyst This role focuses on analyzing and mitigating AI-driven threats within Google's ad traffic quality systems. The individual will identify future misuse vectors, develop proactive mitigation plans, and lead initiatives to implement next-generation safety measures, including fine-tuning techniques and classifier-based guardrails. They will partner with engineering teams to improve ad traffic infrastructure and defense systems using advanced machine learning, and innovate methods to incorporate AI models for improving manual review operations and generating insights. | AgentPost-train | 7 |