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 |
|---|---|---|
| Lead GenAI Forward Deployed Engineer, YouTube Google is seeking a Lead GenAI Forward Deployed Engineer for their YouTube AI Accelerator team. This role focuses on driving AI transformation for YouTube's business operations by redesigning workflows and deploying applied AI solutions. The engineer will build GenAI PoCs, lead the delivery of complex AI applications from prototype to production, and act as a trusted engineering partner. Responsibilities include authoring technical designs, writing code, building front-ends, and developing high-performance eval pipelines and observability frameworks to address AI bottlenecks. | AgentEval Gate | 8 |
| 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 |
| Software Engineer III, AI/ML Shopping Creator, YouTube Google is seeking a Software Engineer III for their YouTube Shopping Creator team. This role focuses on leveraging AI/ML to enhance creator content and engagement with shopping features. The engineer will lead the design and development of ML/AI models, architect systems integrating LLMs for intelligent recommendations, and collaborate with cross-functional teams to deliver the roadmap for AI capabilities. The role requires experience in software development and ML infrastructure, with preferred experience in e-commerce and deep understanding of ML/LLM systems. | Agent | 8 |
| Senior Software Engineering Manager, Agentic Platform, Cloud Security Manage a team of engineers building a Security Agentic Platform for Google Cloud Security Operations, enabling security agents and protecting organizations worldwide. The role involves technical leadership, team management, and overseeing the end-to-end development lifecycle of AI-driven agentic security solutions. | Agent | 8 |
| Senior Staff Model UX Designer, GeminiApp, DeepMind Senior Staff Model UX Designer for Gemini App at DeepMind, focusing on shaping conversational AI experiences from passive responders to proactive partners. The role involves collaborating with PMs, engineers, and researchers to build end-to-end product experiences, guide prompt engineering, initiate qualitative assessments of model performance, and craft multimodal solutions. Requires deep understanding of model capabilities and the eval process, with a focus on user engagement and product innovation in generative AI. | Agent | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (Korean, English) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, strategic alignment, and resolving production-level obstacles related to data readiness, integration, and state management. The role involves leading hiring, identifying skill gaps, and collaborating with Product and Engineering to translate field insights into roadmaps. | Agent | 8 |
| Software Engineer, Content Safety Software Engineer role focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, to protect Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training/evaluation/productionization, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on responsible AI principles and operational standards. | AgentData | 8 |
| Surfaces Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for Gemini's mobile assistant, specifically for multimodal and voice interactions. The designer will work with advanced AI models to refine responses, optimize context switching, and ensure intuitive and reliable user interactions. Responsibilities include defining conversational structures, implementing system instructions, and conducting qualitative assessments of model performance. The role requires experience in conversational AI/LLMs and designing for multimodal and voice entry points. | Agent | 8 |
| Director, Product Management, SecOps Detections, Google Cloud Security The Director of Product Management will lead the product vision for Google SecOps detection capabilities, focusing on AI/ML integration to create an autonomous SOC. This role involves collaborating with AI researchers and security engineers to develop dynamic detection models, design automated workflows using Generative AI, and integrate advanced ML capabilities into massive telemetry streams for enterprise customers. | AgentPost-train | 8 |
| Director, Product Management, SecOps Responses, Google Cloud Security Product Management Director for an AI-powered security platform, focusing on autonomous threat remediation and Generative AI-driven response strategies within Google Cloud Security. The role involves leading product vision, harnessing LLMs for incident synthesis and remediation plan generation, and building intelligent orchestration workflows for proactive threat containment. | Agent | 8 |
| Staff Software Engineer, Search Agentic Ecosystem Platform Staff Software Engineer to build the foundational platform for Google Search's Agentic Ecosystem, enabling AI Mode and Gemini to interact with third-party services for task completion. The role involves architecting core infrastructure, building use cases, ensuring cross-platform compatibility, and providing technical leadership. | Agent | 8 |
| Staff Software Engineer, Gemini Enterprise Staff Software Engineer role at Google focused on building the backend infrastructure and services for Gemini Enterprise, an AI platform for enterprise data. The role involves architecting orchestration layers for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver solutions for Cloud customers. Experience with C++, Java, Python, Go, software design, architecture, and integrating Generative AI tools is required. | AgentServe | 8 |
| Senior Staff Software Engineer, Gemini Enterprise Senior Staff Software Engineer role focused on building the core backend infrastructure and services for Gemini Enterprise, an AI platform for generative search, assistant, and agent applications over enterprise data. The role involves architecting orchestration layers and frameworks for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver high-impact solutions for Cloud customers. | AgentServe | 8 |
| Staff Software Engineer, Cloud AI Staff Software Engineer for Google Cloud's Gemini Enterprise, focusing on backend infrastructure, orchestration layers for LLMs and agentic workflows, and platform features. The role involves integrating Generative AI tools and LLM interfaces into enterprise solutions, partnering with cross-functional teams to leverage Google's AI models and GCP technologies for Cloud customers. | AgentServe | 8 |
| Software Engineer, ML Fleet Intelligence Software Engineer, ML Fleet Intelligence at Google, focused on applying AI/ML to predict, detect, and mitigate hardware and software faults across a global fleet of data centers and ML TPUs. This role involves leveraging large-scale data, optimizing ML infrastructure, and building automated systems to ensure reliability and uptime. | AgentServe | 8 |
| Senior Technical Program Manager, Customer Engagement, Applied AI Senior Technical Program Manager for Google Cloud Applied AI Solutions Consulting team, focusing on enterprise AI deployments. The role involves leading the delivery of production-ready agentic AI solutions for customers, managing cross-functional teams, defining agent behaviors, and ensuring technical roadmaps align with business goals. This includes overseeing the implementation of evaluation pipelines and monitoring agent health using specialized dashboards. | Agent | 8 |
| Technical lead, Google Cloud Security Technical lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs to enable enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. | 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 |
| Forward Deployed Engineer, DeepMind This role embeds with strategic partners to architect, optimize, and build production-grade GenAI applications, driving joint evaluations and benchmarking to influence model development. It involves guiding partners on advanced implementation techniques like RAG and multimodal integrations, and building feedback loop tooling. | AgentEval Gate | 8 |
| Research Software Engineer, Computer Vision Research Software Engineer focused on computer vision and ML for XR applications, specifically 3D reconstruction, scene understanding, and novel view synthesis. The role involves research, development, and optimization of 3D scene representation pipelines, bridging the gap from research to product. | AgentServe | 8 |
| Senior Software Engineering Manager, Agent Registry and AppHub Senior Software Engineering Manager at Google Cloud responsible for the Agent Registry and AppHub. This role focuses on building foundational infrastructure for an AI-native agentic cloud, managing teams, and driving best practices for distributed systems and AI/LLM adoption. Key responsibilities include owning multi-year roadmaps, transforming AppHub into a central registry for AI Agents, and delivering infrastructure for agentic observability and regulatory reporting. | Agent | 8 |
| Software Engineering Manager II, Agentic Planning and Memory Software Engineering Manager II for the Agentic Planning and Memory team, focused on building next-generation agentic capabilities for Google Workspace. The role involves developing advanced general function-calling approaches for autonomous workflow execution and an agentic memory layer for improved context retention, accuracy, personalization, and latency. The manager will lead teams, define technical roadmaps, and collaborate on integrating these capabilities into core Workspace products, impacting billions of users. | Agent | 8 |
| Senior Software Engineer, AI/ML, Geo and Gemini App Senior Software Engineer role focused on building AI/ML features for Google Geo products, involving agentic workflows, evaluation frameworks, and serving infrastructure enhancement. Requires experience with LLMs, RAG, and model quality optimization. | AgentEval Gate | 8 |
| Principal Consultant, AI/ML, Mandiant, Google Cloud This role focuses on architecting and building intelligent agents and tooling to automate cyber defense operations. The consultant will translate complex security workflows into AI systems, integrate them with enterprise platforms, and ensure their operational readiness and security. The role requires experience with AI platforms, Generative AI agents, Python, and integrating distributed systems, with a preference for cybersecurity operations and AI evaluation frameworks. | Agent | 8 |
| Google Cloud Consulting Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is hiring a Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with customers to build and deploy bespoke agentic AI solutions, bridging the gap between frontier AI products and production realities. Responsibilities include developing agentic workflows, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires software development experience, cloud platform expertise, and experience with RAG and vector databases, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 8 |
| Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles like data readiness, integration complexities, and state-management challenges to achieve enterprise-grade AI maturity. | Agent | 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 |
| Senior Software Engineer, AI/ML Senior Software Engineer role focused on developing and scaling Agentic AI and ML systems within the HR domain for Google employees. The role involves technical leadership, collaboration with stakeholders, and staying updated on AI/ML trends, with a strong emphasis on building multi-agent systems and generative AI solutions. | Agent | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud Forward Deployed Engineer III for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions for enterprise customers. This role involves integrating Google's AI products (like Gemini and Vertex AI) into customer environments, addressing integration complexities, data readiness, and state management. Responsibilities include developing production-grade agentic workflows, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product improvement, and co-building with customer teams. Requires strong software development skills (Python), experience with cloud AI systems, RAG, vector databases, and leading technical discovery. Preferred experience includes multi-agent systems and LLM-native metrics. | AgentEval Gate | 8 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focusing on helping enterprise customers adopt and integrate Generative AI solutions, including architecting applications and agentic systems on Google Cloud Platform. | Agent | 8 |
| Staff Software Engineer, Knowledge Catalog, AI Staff Software Engineer role focused on empowering AI agents within Google Cloud's data ecosystems. The role involves tackling challenges in context engineering, metadata enrichment, search, personalization, conversational analytics, and catalog infrastructure, with a focus on rapid prototyping, experimentation, and integration with products like Gemini Enterprise. The engineer will drive technical goals, influence across boundaries, shape strategy, and lead junior engineers, with a minimum of 8 years of software development experience and 5 years of experience in ML infrastructure and GenAI techniques. | AgentServe | 8 |
| Staff Software Engineer, Roads Data Quality, Geo Staff Software Engineer role focused on designing and building a 3D navigation map using sensor data, large ML models, and vision transformers. The role involves leading ML model development, data curation, evaluation, and deploying GenAI solutions. It requires technical leadership and collaboration across multiple teams. | AgentData | 8 |
| Forward Deployed Engineer II, GenAI, (Bahasa Indonesia) Google Cloud is seeking a Generative AI (GenAI) Forward Deployed Engineer (FDE) II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing production blockers, and providing feedback to product teams. The FDE will also build evaluation pipelines and observability frameworks, and translate technical concepts to non-technical audiences, requiring fluency in Bahasa Indonesia. | AgentEval Gate | 8 |
| Senior Software Engineering Manager, Ecosystems and Integrations Databases Senior Software Engineering Manager to lead a team focused on transforming Cloud databases for agentic AI. The role involves managing engineers, contributing to product strategy, and overseeing the deployment of large-scale projects. The team's mission is to build common platforms and frameworks to support agents on all databases, enabling them to use enterprise data effectively. This requires balancing research in AI and databases with shipping products. | Agent | 8 |
| Software Engineer, Content Safety Team Software Engineer on the Content Safety Team at Google, focusing on building and scaling systems to protect users and products from harmful content. This involves working with classifiers, vector databases, multimodal models, and agentic workflows, as well as model training and evaluation pipelines. The role requires experience with production-grade distributed systems and ML concepts, with a focus on responsible AI principles and ensuring the safety of Generative AI experiences. | AgentData | 8 |
| Senior Software Engineer, Google Cloud Generative AI Blackbelt Team Senior Software Engineer on the Google Cloud Generative AI Blackbelt Team, focusing on applying Generative AI and LLMs to enterprise solutions. The role involves developing, testing, deploying, and maintaining software solutions, with a strong emphasis on customer-facing applications and potentially building end-to-end architectures using agentic or Generative AI capabilities. Experience with AI Agents and responsible AI principles is preferred. | Agent | 8 |
| Product Manager, Math Agents, DeepMind (Fixed Term Contract) Product Manager for AI math agents at Google DeepMind, focusing on defining product strategy, requirements, and execution for agentic systems that bridge frontier research in automated reasoning with real-world mathematical problems. The role involves leading development and deployment, incubating new agentic capabilities, and collaborating with researchers and mathematicians. | Agent | 8 |
| Forward Deployed Engineering Manager, GenAI, Delta, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions in customer environments, providing technical mentorship and resolving production-level obstacles related to data, integration, and state management to achieve enterprise-grade maturity. | Agent | 8 |
| Staff Software Engineer, AI/ML, XR Staff Software Engineer focused on building AI-powered interactions for next-generation XR devices, integrating Gemini's multimodal capabilities to create personalized and contextually aware experiences. The role involves innovating and architecting multimodal solutions, collaborating cross-functionally, and developing technologies for intelligent eyewear and VR headsets. | Agent | 8 |
| Staff Datacloud Blackbelt Engineer, Data and AI Staff Blackbelt Engineer focused on building, deploying, and optimizing sophisticated Data and AI agents and solutions for enterprise customers using Google's AI technologies. The role involves architecting solutions, optimizing performance, and codifying reusable assets for broader adoption, bridging platform primitives with customer needs. | AgentServe | 8 |
| Senior Software Engineer, Map Ads, Machine Learning Senior Software Engineer role focused on building next-generation modeling and quality infrastructure for queryless ad formats using advanced AI techniques like LLM-based distillation and differential modeling. The role involves leading technical roadmaps across retrieval, auction, and measurement, and developing evaluation frameworks. It requires experience with ML infrastructure, programming, and machine learning fields such as reinforcement learning, recommendations/ranking, or LLMs. | AgentPost-train | 8 |
| Staff Software Engineer Staff Software Engineer at Google DeepMind focused on building tools and best practices for AI research iteration, architecting data pipelines for training and evaluation, and developing evaluation benchmarks. The role involves collaborating with researchers to ship product features and providing technical leadership, with a strong emphasis on system design, scalability, and maintainability. | AgentEval Gate | 8 |
| Software Engineer Software Engineer role at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, designing and building infrastructure for next-gen AI features, and managing the full deployment lifecycle. | AgentData | 8 |
| Agentic Software Engineer, Android and Chrome Security Software Engineer focused on building AI Agentic solutions to secure the supply chain for Android, Chrome, and ChromeOS. This involves developing AI-driven software and tooling to protect infrastructure, build pipelines, and third-party dependencies against compromised accounts and upstream threats. The role emphasizes designing and deploying multi-agent systems for security. | Agent | 8 |
| Staff Software Engineer, Agentic AI, Trust and Safety Staff Software Engineer role focused on architecting and scaling AI/ML systems and distributed infrastructure for Trust and Safety at Google. The role involves defining the technology roadmap, integrating high-availability systems, leading multi-team technical initiatives, and mentoring other engineers. Requires experience in large-scale distributed systems and building agentic AI systems. | AgentServe | 8 |
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, resolving production obstacles, and collaborating with Product, Engineering, and Sales leadership. The role focuses on bridging the gap between frontier AI products and production-grade reality for enterprise customers. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud Lead a team of AI/ML engineers focused on deploying bespoke agentic solutions within customer environments for Google Cloud's Public Sector and Education clients. This role involves technical mentorship, strategic alignment with sales and product leadership, and resolving production-level obstacles to achieve enterprise-grade AI maturity. The team leverages Google's frontier AI models and Vertex AI platform to solve complex business problems. | Agent | 8 |
| Senior Staff Tech Lead, YouTube Shorts Discovery Tech lead for AI/ML software engineers focused on YouTube Shorts discovery models, aiming to align recommendations with user interests. This involves building large-scale AI/ML systems using techniques like LLMs, generative retrieval, and long-sequence modeling for personalized retrieval and early-stage ranking. The role requires defining technical strategy, leading high-impact projects, and partnering with cross-functional teams. | AgentServe | 8 |
| Staff Software Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | AgentServe | 8 |