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 Engineer III, Generative AI, Agent Engineering Software Engineer III, Generative AI, Agent Engineering role focused on applying Google's Generative AI to solve real-world challenges for strategic customers. The role involves building, deploying, and optimizing AI agents on the CES platform, acting as a specialized software engineer embedded with key accounts. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing feedback to core product teams. The role also involves systematizing learnings into reusable tools and best practices, and guiding customers on agent performance and production readiness. | Agent | 8 |
| Software Engineer, Content Safety Software Engineer focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, for Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training and evaluation workflows, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on ensuring product safety and responsible AI principles. |
| AgentData |
| 8 |
| Senior Software Engineer, Generative AI, Core ML Senior Software Engineer role focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure for agents, including knowledge stores and self-reflection modules, to enable autonomous learning and improvement. Responsibilities include applying design principles to transition logic from prompts to code-based workflows, scaling automated prompt optimization, and implementing safety enforcements for agent reliability. The goal is to bridge the gap between prototypes and scalable production infrastructure for generative AI agents. | AgentServe | 8 |
| Staff Software Engineer, Generative AI, Core Machine Learning Staff Software Engineer focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure, including Knowledge Store libraries and self-reflection modules, to improve the quality, reliability, and efficiency of AI agents. Key responsibilities include extracting deterministic logic from prompts into code-based workflows, scaling automated prompt optimization, and implementing code-level safety enforcements. | Agent | 8 |
| Forward Deployed Architect Manager, Generative AI, Google Cloud Manager for a Generative AI Forward Deployed Architect team in Google Cloud, responsible for leading architects in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment, and resolving production-level obstacles related to AI maturity. Key responsibilities include setting technical standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tools, and collaborating on roadmaps and internal tools. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI 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 with Product, Engineering, and Sales, and resolving production-level obstacles like data readiness, integration, and state management. The role involves leading technical hiring, identifying skill gaps in emerging AI tech, and collaborating with product/engineering to translate field insights into roadmaps. | Agent | 8 |
| Staff Software Engineer, CoreOS Agentic Engineering Staff Software Engineer role focused on Agentic Engineering within Google's CoreOS. The role involves conceptualizing, developing, and productionizing AI-driven strategies to optimize Google's global compute performance and operating system. Responsibilities include designing and building large-scale software solutions, leading teams, and developing tools for monitoring and testing. | Agent | 8 |
| Principal Engineer, YouTube Shorts, Viewer Feed Quality Principal Engineer for YouTube Shorts Viewer Growth team, focusing on improving viewer recommendations through advanced AI/ML. Responsibilities include setting technical strategy, building high-quality feeds, defining viewer metrics, and integrating user interests and real-time responsiveness. Collaborates with cross-functional teams on next-gen infrastructure and generative AI. | Ship | 8 |
| Staff Software Engineer, AI-Powered GRC Automation Staff Software Engineer to build an AI-powered platform for automating and scaling Governance, Risk, and Compliance (GRC) functions within Google Cloud and Technical Infrastructure. The role involves defining technical strategy, architecting scalable solutions, and leading the development of AI/ML models for continuous monitoring, privacy enforcement, audits, and risk reporting. Responsibilities include assessing data quality, building data pipelines, and understanding control objectives for AI-enhanced monitoring. | AgentData | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud AI Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud AI. The role involves leveraging ML infrastructure, evaluating different techniques, and working with state-of-the-art GenAI concepts like LLMs and Multi-Modal models. Requires strong programming skills (Python/C++) and experience with ML infrastructure and software development. | Agent | 8 |
| Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Software Engineer role focused on Generative AI for YouTube Ads, specifically optimizing creative generation and optimization using ML models and GenAI techniques. The role involves implementing ML infrastructure, developing models, and creating novel ad formats to drive advertiser value. | ShipPost-train | 8 |
| Staff Software Engineer, Deep Data Research, Applied AI Staff Software Engineer for Google's Applied AI team, focusing on building and scaling conversational AI agents for enterprise customers. The role involves driving technical strategy, architecture, and execution for large-scale AI platforms, collaborating with model builders, and delivering new capabilities with agility. | Agent | 8 |
| 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 |
| Software Engineer, Android/Chrome, Security Infrastructure Software Engineer role focused on building AI-driven tooling and agents to enhance the supply chain security of Android, Chrome, and ChromeOS. The role involves developing solutions for source code trust, build integrity, infrastructure hardening, and third-party risk management, with a focus on detecting suspicious patterns and automating security processes. | Agent | 8 |
| Senior Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Senior Software Engineer role focused on Generative AI for creative optimization in YouTube Ads. The role involves developing machine learning models and infrastructure for creative generation and optimization, working with GenAI and ML models to create novel ad formats and experiences. It requires experience in software development, ML infrastructure, and GenAI techniques. | AgentPost-train | 8 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on deploying bespoke generative AI and agentic solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud This role focuses on taking conversational AI prototypes and transforming them into production-ready, scalable, and secure AI systems for enterprise customers. The FDE will lead technical delivery for Conversational AI pilots, establish customer user journeys, and architect/code agentic workflows, evaluation pipelines, and observability frameworks. The role requires strong software engineering, ML operations, and cloud infrastructure skills, with an emphasis on building full-stack applications that integrate with enterprise IT. | AgentServe | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Compute Software Engineer III role focused on implementing GenAI solutions within Google Cloud Compute, 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. | ServePost-train | 8 |
| Machine Learning Hardware Architect, TPU This role focuses on architecting and defining specifications for next-generation high-performance computing systems, specifically TPUs, to accelerate AI/ML applications. The individual will collaborate with software teams to define AI workload requirements, perform architecture studies for performance and efficiency, and influence technical roadmaps for hardware-software platforms. The goal is to drive the evolution of AI hardware for large-scale systems and data centers. | Serve | 8 |
| Software Engineer, On Device Machine Learning Software Engineer role focused on adapting and serving AI/ML models for on-device execution, creating AI-powered user-facing features, and optimizing model performance on hardware accelerators. Involves model adaptation, serving infrastructure, quality testing, and customization for specific domains. | ServePost-train | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship and strategic alignment with Product, Engineering, and Sales leadership. | Agent | 8 |
| Senior Data Scientist, GeminiApp, DeepMind Senior Data Scientist at Google DeepMind working on the GeminiApp, focusing on developing data-driven product strategies, building and deploying ML models to enhance product capabilities and personalize user experience, and collaborating with the GenAI team on model quality and feature adoption. The role involves translating ambiguous questions into well-defined problems, designing experiments, analyzing large datasets, and communicating insights to stakeholders. | Ship | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. This role involves end-to-end engineering, architecting agentic workflows, developing evaluation pipelines, and ensuring best practices. | AgentServe | 8 |
| Staff Software Engineer, NotebookLM, Generative AI, Labs Staff Software Engineer focused on designing, developing, and maintaining robust evaluations for NotebookLM Chat and Content Studio features. This role involves improving evaluation infrastructure, defining quality metrics, and staying updated on LLM evaluation techniques within Google's Labs group, which incubates early-stage AI efforts. | Eval Gate | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (English, Korean) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy agentic solutions within customer environments. Focuses on technical mentorship, strategic alignment, and resolving production obstacles using Google's AI portfolio and Vertex AI platform. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. The role involves leading technical delivery for Conversational AI pilots, architecting agentic workflows, building evaluation pipelines, and collaborating with customer engineering teams. | AgentServe | 8 |
| Software Engineering Manager, AI/ML Manage a team of engineers focused on scaling data optimization techniques to improve the performance and quality of ML models. This role involves partnering with research teams and ML practitioners to build engineering tools, processing pipelines, and integration with existing workflows, ultimately supporting user adoption and advancing Google's AI goals. Experience with GenAI infrastructure and ML research/development workflows is preferred. | DataPost-train | 8 |
| Software Engineer, Agentic AI Systems, Cloud Security Software Engineer role focused on building next-generation agentic AI systems for Google Cloud Security, aiming to protect major organizations worldwide by developing foundational AI platforms and scaling security agents. | Agent | 8 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with applied AI, pre-trained models, RAG, and cloud platforms, with a focus on enterprise-grade AI maturity. | AgentEval Gate | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English) Forward Deployed Engineer for GenAI on Google Cloud, focusing on integrating frontier AI products into customer production environments. Responsibilities include managing integration and data readiness issues, deploying AI systems, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with Python, ML packages, applied AI (prompt engineering, fine-tuning, RAG, orchestration), and cloud platforms. Fluency in Japanese and English is necessary. | AgentServe | 8 |
| Staff Engineering Analyst Manager, Veo and Robotics This role leads a team of engineering analysts focused on AI safety for foundational models like Gemini, Veo, and Robotics. Responsibilities include developing introspection heads, post-training models for safety alignment, building LLM-based safeguards, and generating insights from model logs. The role emphasizes collaboration across Google DeepMind and Trust & Safety, strategic direction for model launches, and rigorous auditing of model safety. | Post-trainAgent | 8 |
| Software Engineer, Generative AI, Workspace Software Engineer role focused on building and scaling Generative AI products within Google Workspace, impacting billions of users. Involves architecting models and infrastructure, collaborating with researchers and PMs, and developing high-quality code for AI-powered productivity tools like Gmail and Docs. | Ship | 8 |
| Senior Staff Software Developer, AI/ML GenAI, Google Workspace Senior Staff Software Developer role focused on developing and deploying GenAI solutions within Google Workspace, impacting billions of users. The role involves technical leadership, ML infrastructure optimization, and driving the strategy for state-of-the-art GenAI applications. | ShipServe | 8 |
| Senior Software Engineer, AI/ML, Creative Intelligence Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems for ad products. | ShipPost-train | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Staff Software Engineer role at Google Cloud focused on designing, developing, and deploying large-scale GenAI solutions. The role involves technical leadership, optimizing ML infrastructure, guiding data preparation and model optimization, and working with state-of-the-art GenAI techniques like LLMs, Multi-Modal, and Large Vision Models. Requires significant software development experience and specific experience in ML design and GenAI techniques. | ServePost-train | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud 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, Engineering, and Sales, and resolving production-level obstacles for AI adoption in enterprise settings. | AgentServe | 8 |
| Forward Deployed Engineering Manager, Gen AI, 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. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles related to AI adoption. | Agent | 8 |
| Software Engineer III, AI/ML Cloud Software Engineer III, AI/ML Cloud role at Google, focusing on building and deploying scalable AI/ML platform capabilities for Google Cloud customers. The role involves engineering solutions for LLM serving and tuning, ensuring reliability, performance, and quality, and implementing guardrails and safety gates for the Vertex AI organization. It requires experience in ML infrastructure, model deployment, and potentially speech/audio or reinforcement learning. | ServeEval Gate | 8 |
| Staff Applied AI Agent Engineer, Google Cloud Platform Staff Applied AI Agent Engineer for Google Cloud Platform, focusing on deploying and optimizing Generative AI agents for enterprise customers. The role involves partnering with customers, designing and co-developing AI solutions, creating reusable tools, and potentially contributing to the core product codebase. It requires significant software development experience and expertise in ML infrastructure, model deployment, and data processing. | Agent | 8 |
| Software Engineer, Acceleration Platform Team Software Engineer on the Acceleration Platform Team building scalable, AI-native agentic systems to automate complex workflows and solve enterprise-scale engineering problems. The role involves leading zero-to-one initiatives, defining AI-first engineering best practices, scaling evaluations and guardrails for AI safety, and building advanced telemetry for debugging and optimizing self-supporting behaviors. | Agent | 8 |
| Software Engineer, Acceleration Platform Software Engineer on the Acceleration Platform team in Singapore, responsible for designing and implementing AI-native agentic systems to eliminate developer toil. The role involves leading zero-to-one technical initiatives, building scalable frameworks for self-sustaining AI at an enterprise scale, and mentoring junior peers. Responsibilities include designing systems where AI agents reason and execute workflows, blending traditional software development with prompt engineering and RAG, creating evaluation pipelines for AI performance, and troubleshooting non-deterministic AI behaviors. | Agent | 8 |
| Senior Software Engineer, AI/ML, Youtube Ads Google is seeking a Senior Software Engineer for the YouTube Ads ML team. This role involves applying state-of-the-art machine learning techniques to deliver ad recommendations on YouTube by analyzing user activity sequence patterns. The engineer will create personalized advertising experiences, identify high-value users for advertisers, and research, design, apply, and launch innovative ML techniques. The role requires strong software development skills, experience with ML infrastructure, and Python programming. | Ship | 8 |
| Technical Lead Manager, ML and GenAI, Ads Safety Technical Lead Manager for ML and GenAI in Ads Safety at Google. This role involves managing a team of engineers focused on enhancing and rolling out ML models, solving bottlenecks, and architecting production-quality AI-powered products, including recommendation systems and potentially Generative AI Agents. Requires experience in building AI-powered products with technologies like RAG and managing ML systems in production. | ShipAgent | 8 |
| Software Engineer II, Google Threat Intelligence Software Engineer II at Google Threat Intelligence focusing on developing and deploying AI-driven solutions, including LLMs and AI agents, for security-related use cases. The role involves research, design, implementation, evaluation, and full lifecycle contribution to AI-powered features. | AgentPost-train | 8 |
| Senior Forward Deployed Engineer, Cloud Applied AI Senior Forward Deployed Engineer for Google Cloud's Applied AI organization, focusing on designing, developing, and deploying AI agents and solutions for enterprise customers. The role involves close customer partnership, coding, custom tooling development, and providing feedback to core product teams. It requires experience with Generative AI concepts and ML infrastructure, aiming to scale AI adoption within the Google Cloud ecosystem. | Agent | 8 |
| Software Engineer, Recommendations, Rankings, Predictions, Consumer Shopping Commerce This role focuses on building platforms for specialized agents that coordinate to manage commerce intents at scale, pushing AI search boundaries for seamless visual and text experiences. It involves pioneering self-optimizing systems and building/deploying recommendation systems models, utilizing ML infrastructure, and addressing AI quality problems with agentic solutions. | AgentServe | 8 |
| Staff Software Engineer, GPU Performance Staff Software Engineer focused on optimizing GPU performance for LLM training and serving within Google Cloud. This role involves benchmarking, performance analysis, and implementing solutions at scale, working with cutting-edge AI accelerators and low-level GPU programming. | Serve | 8 |
| Software Engineer III, GenAI, Google Cloud Software Engineer III, GenAI, Google Cloud, focusing on integrating Google Search and private data into LLMs for intelligent solutions on Vertex AI. Responsibilities include building grounding systems, improving LLM grounding algorithms, and developing search ranking improvements. Requires experience in GenAI, LLMs, and Agentic AI Systems. | AgentData | 8 |
| Senior Software Engineer, Generative AI, GCP Data Analytics Senior Software Engineer role focused on building the core reasoning engine for a generative AI-powered data analytics platform (BigQuery). The role involves technical strategy, architectural design, cross-functional collaboration with AI/ML teams, and ensuring the performance, reliability, and observability of agent services. It requires experience with ML infrastructure, GenAI techniques, agent development, distributed systems, and data warehousing. | AgentServe | 8 |
| Senior Software Developing Manager, ML Infrastructure, Core Infra Senior Software Development Manager for ML Infrastructure within Core Infra at Google, focusing on GenAI projects. The role involves leading teams, setting technical direction, and contributing to system design and code for GenAI-focused initiatives, including model deployment, evaluation, and fine-tuning. | ServePost-train | 8 |
