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, with 1186 new openings in the last 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 |
|---|---|---|
| Forward Deployed Engineer, GenAI, DACH, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases. | AgentServe | 8 |
| Staff Software Developer, ML Infrastructure, Core Infra Staff Software Developer focused on ML Infrastructure for Core Infra, specifically for conversational AI agents. The role involves driving technical direction for data systems, implementing scalable data solutions on GCP, and leading critical infrastructure investments to support Generative AI development. |
| Data |
| 8 |
| Senior Software Engineer, Robotic Test Automation Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams. | Agent | 8 |
| Software Engineer, Applied AI Software Engineer, Applied AI at Google, focusing on developing and deploying production-grade AI agents for business growth. The role involves executing experiments, managing the full lifecycle of AI agent code (prompt engineering, fine-tuning, CI/CD, monitoring), and working with cross-functional teams. Experience with speech/audio, reinforcement learning, or ML infrastructure is required, with preferred experience in LLM orchestration, RAG, and model evaluation. | AgentData | 8 |
| Senior Software Engineer, Generative AI Senior Software Engineer role focused on implementing Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, leveraging MLOps practices. Requires experience with GenAI techniques, LLMs, Multi-Modal, Large Vision Models, and Agent Development Kit (ADK). | AgentServe | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Role focuses on taking conversational AI prototypes and transforming them into production-ready agentic workflows for enterprise customers. Responsibilities include architecting conversational flows, building evaluation pipelines and observability frameworks for agents, and collaborating with customer engineering teams. Requires experience in Python, AI systems on cloud platforms, full-stack development, and conversational agent frameworks. | AgentServe | 8 |
| Software Engineer III, Tensor Processing Units, AI/ML Software Engineer III role focused on developing and supporting AI/ML frameworks and compilers for Google Cloud's Tensor Processing Units (TPUs) and Google Processing Units (GPUs). The role involves enabling large-scale training and inference of advanced ML models, including generative models, computer vision, NLP, and speech, with a focus on PyTorch. Collaboration with internal teams and external researchers is key to advancing the PyTorch-in-Cloud offering. | ServePost-train | 8 |
| Software Engineer III, AI/ML GenAI, Google Ads Software Engineer III at Google Ads focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts like LLMs, Multi-Modal, and Large Vision Models, and generation across text, image, video, or audio. | Serve | 8 |
| Software Engineer III, AI/ML, YouTube Shopping Google is seeking a Software Engineer III, AI/ML for their YouTube Shopping team in Zurich. The role involves designing, implementing, and deploying ML models for tasks like Product Detection and Video Classification, building training data pipelines, and ensuring model performance through evaluation frameworks. The engineer will also contribute to the back-end infrastructure for efficient model serving at scale and implement solutions in specialized ML areas. | Post-trainServe | 8 |
| Staff Software Engineer, AI/ML, Agent Assist Staff Software Engineer at Google working on Agent Assist, a Generative AI product for customer experience. The role involves building foundational infrastructure and capabilities for companion AI agents that can reason, use tools, and automate complex tasks at scale, leveraging the latest Agentic AI technologies. The position is focused on developing scalable infrastructure and advanced GenAI features for a core pillar of Gemini Enterprise. | AgentServe | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer 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 challenges in integration, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to the product roadmap. | AgentEval Gate | 8 |
| Staff Software Engineer, On-Device Machine Learning Infrastructure Staff Software Engineer focused on building and optimizing on-device ML infrastructure for Google's flagship products, enabling the deployment of models like Gemini Nano and Gemma across various hardware accelerators on Android, Chrome, and more. The role involves creating roadmaps for developer-facing APIs/SDKs, solving complex performance optimization problems for Generative AI on heterogeneous hardware, designing resilient systems, and coordinating efforts across multiple internal teams. | ServePost-train | 8 |
| 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 |
| Senior Software Engineer, AI/ML, Search Growth Senior Software Engineer, AI/ML, Search Growth at Google. This role focuses on designing and deploying advanced AI/ML models, building associated training and monitoring systems, and optimizing model performance for low-latency environments within Google Search's growth ecosystem. The position involves leveraging multi-modal embeddings and LLM-generated user profiles, designing A/B tests, and building infrastructure for hyper-personalized LLM prompts in a new AI Mode. | ShipAgent | 8 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III role focused on enabling and optimizing foundational AI/ML models (LLMs, Diffusion) within Google Cloud infrastructure, specifically using frameworks like vLLM and MaxText. The role involves partnering with customers to measure model performance, identify technical bottlenecks, collaborate with infrastructure teams, and design specialized ML solutions. It requires experience with ML infrastructure, GenAI concepts, and debugging training/inference workloads. | ServeAgent | 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 GenAI, YouTube Software Engineer III at Google's YouTube focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements for AI/ML products. The role involves coding, collaboration, debugging, and working with core GenAI concepts like LLMs and Multi-Modal models. | ShipServe | 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 |
| Software Engineer, AI i18n and Evaluations Software Engineer focused on AI internationalization and evaluations for Pixel and Android. Responsibilities include leading R&D for AI feature expansion, quality evaluations, and rater quality using on-device and server-based models. Tasks involve creating auto-raters, ensuring metric consistency, establishing benchmarks, and collaborating with AI feature teams. The role also involves identifying opportunities and leading roadmaps to scale language capabilities and improve model evaluation processes. | Eval GatePost-train | 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, AI and Infrastructure Senior Software Engineer on the AI and Infrastructure team at Google, focusing on developing and scaling AI/ML capabilities and infrastructure for Google's products and customers. The role involves writing and testing code, collaborating on design and code reviews, triaging issues, and designing/implementing solutions in ML areas leveraging ML infrastructure. | Serve | 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, Kernels and Performance, Core ML Frameworks Senior Software Engineer focused on optimizing ML kernels and infrastructure for TPUs and GPUs, impacting both training and inference performance for Google's AI models and cloud customers. This role involves deep technical work on low-level languages and collaboration with ML researchers and framework developers. | ServePost-train | 8 |
| Senior Software Engineer, Machine Learning, Vertex AI Senior Software Engineer on the Vertex Generative AI Media team, focusing on transforming generative models into high-performance engines for enterprise customers. The role involves managing post-training issues, including Multimodal Supervised Fine-Tuning (SFT) and Latent Distillation, to ensure brand-aligned, production-grade media generation. The engineer will build custom-tailored Generative Media by fusing Google's video and image foundations with proprietary enterprise data. | Post-trainServe | 8 |
| AI Engineer, Google Cloud Consulting (English, French) AI Engineer role focused on designing, prototyping, and implementing AI solutions for enterprise customers on Google Cloud. The role involves acting as an ML generalist, bridging research and production, and leveraging Google's AI products like Vertex AI and Gemini. Responsibilities include advising customers, writing production code, guiding on ML and GenAI production challenges, and collaborating with product teams to transition prototypes into scalable production architectures. | ShipAgent | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior AI Software Engineer role focused on leading the design, development, and deployment of AI/ML systems for HR applications at Google. This role involves technical leadership, mentoring, collaboration, and driving the adoption of AI technologies to optimize HR processes and employee experiences. | Ship | 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 |
| Senior Software Engineer, Machine Learning, Core ML Senior Software Engineer on the RecML team, focused on scaling machine learning for recommendations and user modeling. The role involves architecting and implementing model-parallel training, optimizing transformer models, and writing low-level code for performance. This is a horizontal ML infra and efficiency role supporting the training framework of foundation recommender models. | Pretrain | 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 |
| 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 |
| Software Engineer III, Generative AI Software Engineer III at Google, focusing on implementing Generative AI solutions. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Key responsibilities include implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with ML infrastructure and GenAI techniques like LLMs and Multi-Modal models. | Ship | 8 |
| Staff Software Engineer, On-Device Machine Learning Staff Software Engineer role focused on leading the technical direction of On-Device Machine Learning (ODML) and generative AI (GenAI) at Google. The role involves creating roadmaps for developer-facing APIs, SDKs, and tools, solving complex optimization problems for GenAI performance on mobile hardware, designing resilient systems, and coordinating efforts across multiple teams. The position requires extensive experience in software development, ML infrastructure, and launching software products, with a focus on optimizing LLM workflows for on-device deployment. | ServeAgent | 8 |
| Senior Software Engineer, AI/ML, Google Meet Senior Software Engineer focused on AI/ML for video quality optimization and understanding in Google Meet. Responsibilities include developing ML models for video enhancement, segmentation, and understanding, collaborating on best practices, and driving AI/ML development in the video domain to create tangible features for users. | Post-train | 8 |
| Staff Software Engineering, YouTube ML Efficiency Staff Software Engineer focused on ML efficiency for YouTube's recommendation systems, working on model architectures, training procedures, and scaling experimentation on TPUs. The role involves optimizing ML infrastructure, reducing complexity in the ML ecosystem, and automating training, evaluation, and serving. | ServeData | 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 Software Engineering Manager, Search AI Quality and Protections Senior Software Engineering Manager for Google Search AI Quality and Protections. This role involves leading a team of over 20 engineers to ensure the integrity, reliability, accuracy, and safety of advanced Search features, including AI Overviews and AI Mode. The team focuses on developing safeguards, model improvements, and ranking refinements for high-stakes queries in health, civics, and finance, bridging the gap between model capabilities and rigorous quality standards. | ShipPost-train | 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 |
| Senior Silicon System and Software Integration Engineer, Google Cloud This role focuses on the hardware-software integration and validation of AI/ML hardware accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications. | Serve | 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 Staff Machine Learning Software Engineer, Search Ranking Senior Staff Machine Learning Software Engineer for Google's Feed Recommendation team, focusing on identifying and solving technical challenges in content retrieval, ranking, quality, and personalization. The role involves developing and deploying models, including LLMs and multi-modal systems, to analyze and recommend content at a massive scale for billions of users. This position requires driving end-to-end solutions and advancing key recommendation domains. | ShipAgent | 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 |
