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 |
|---|---|---|
| Staff Data Scientist, Discover Personalization and Quality Staff Data Scientist for Google Discover Personalization and Quality team, focusing on improving retrieval and ranking ML systems to deliver personalized content. This role involves analyzing systems, leading research, collaborating with engineering and product teams, and leveraging AI/LLM tools to enhance user experience and product growth. | Ship | 7 |
| Senior Software Engineer, AI-Empowered Security, Cloud CISO Senior Software Engineer role focused on AI-empowered security for Google Cloud. The role involves architecting and scaling platforms that automate security checks, designing and evaluating AI-driven security capabilities, and leading identification of AI opportunities. It requires experience in security engineering, AI/ML infrastructure, and designing AI-assisted tools, with preferred experience in Generative AI, LLMs, and multi-agent systems. |
| AgentServe |
| 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer role at Google YouTube Ads focusing on Machine Learning. The role involves designing, developing, and deploying large-scale software solutions, with a strong emphasis on ML infrastructure, model optimization, data processing, and building recommendation systems. Requires technical leadership and experience in ML design and deployment. | ShipServe | 7 |
| Customer Engineer II, Applied AI, Google Cloud Customer Engineer II, Applied AI, Google Cloud role focused on partnering with technical sales teams to understand customer needs, design cloud solutions using Google's first-party Generative AI, and conduct Proofs of Concept. Requires expertise in conversational AI, building/leveraging AI solutions, and engaging with technical stakeholders. | Agent | 7 |
| Security Engineer, Android Product Security Security Engineer for Android Product Security, focusing on building AI/LLM-driven security engineering projects and tooling to scale vulnerability research, defensive engineering, and mitigation strategies. The role involves analyzing and triaging vulnerabilities, conducting security research, and embedding security by design. | Agent | 7 |
| Senior Software Engineer, AI/ML, Google Cloud AI Senior Software Engineer role focused on AI/ML within Google Cloud AI. The role involves writing and testing product/system development code, collaborating with peers, triaging issues, and designing/implementing solutions in specialized ML areas. Requires experience with ML infrastructure, model deployment, evaluation, optimization, data processing, debugging, and potentially speech/audio or reinforcement learning. | ServePost-train | 7 |
| Software Engineer, AI-Empowered Security Software Engineer role focused on building AI-powered security tools and automated pipelines for Google Cloud. The role involves writing backend code, designing APIs, assessing security of distributed systems, and analyzing telemetry to implement automated fixes. It requires experience in software development and at least one year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML field, along with security engineering experience. | Agent | 7 |
| Customer Engineer III, Applied AI, Google Cloud Customer Engineer III, Applied AI, Google Cloud. This role focuses on providing technical expertise in Conversational AI and customer experience, bridging business issues with Generative AI solutions. The engineer will act as a subject matter expert, lead architect for AI frameworks, and help customers design and implement AI solutions from proof-of-concept to production. Responsibilities include advising customers, guiding AI solution integration, developing PoCs/MVPs, and collaborating with product management. | Agent | 7 |
| Product Manager, Agentic AI, Communications Advertisers Product Manager for Agentic AI within Google Ads' Customer Engagement team, focusing on automating advertiser solutions using AI in communication channels like email, voice, and chat. The role involves owning the product lifecycle, collaborating with engineering on AI model integration, and leveraging data to optimize performance. | Agent | 7 |
| Product Manager, Advertiser and Business Intelligence AI Product Manager for AI features and enterprise business intelligence tools within the Customer Engagement team for Google Ads. The role focuses on building AI-driven chat and automated tool features to optimize advertiser health and support, connecting business and technical aspects from conception to launch. | Agent | 7 |
| Senior Security Engineer, National Security Senior Security Engineer focused on building AI-driven security tools and workflows for Google Public Sector, including AI-native offensive tools, automated evaluation pipelines, and integrating LLMs/agentic workflows. Requires a Top Secret/SCI clearance. | AgentEval Gate | 7 |
| Product Manager, YouTube Ads Marketplace Optimization and ML Product Manager for YouTube Ads Marketplace Optimization and ML, focusing on improving bidding algorithms and machine learning models to drive long-term advertiser value and revenue. This role involves defining product strategy, partnering with engineering and data science, and managing the product lifecycle for AI-powered advertising solutions. | Ship | 7 |
| Staff Software Engineer, AI-Empowered Security, Cloud CISO Staff Software Engineer role focused on AI-Empowered Security within Google Cloud CISO Security Engineering. The role involves architecting and scaling platforms that automate security checks, designing and evaluating AI-driven security capabilities, and leading identification of AI opportunities. It requires experience with large-scale distributed systems, security engineering, and AI/ML infrastructure, with a preference for experience in Generative AI, LLM-based applications, or multi-agent orchestration systems. | AgentServe | 7 |
| Senior Software Engineer, Storage AI/ML Senior Software Engineer role focused on optimizing Google Cloud Storage for AI/ML workloads. The role involves developing specialized AI client libraries, benchmarking performance, investigating storage optimizations, and collaborating with various GCP teams to drive storage innovation for AI/ML. Requires experience with large-scale infrastructure, distributed systems, and AI/ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Performance, AI and Infrastructure Senior Software Engineer focused on performance and infrastructure for AI at Google. This role involves developing and optimizing systems that support AI models at scale, ensuring efficiency, reliability, and velocity. Responsibilities include coding, design reviews, debugging, and contributing to the overall AI infrastructure. | Serve | 7 |
| Senior Leadership Technical Program Manager, AI Data Lead complex projects that explore the profound impact of data on the quality of AI models and products, spanning training, testing, evaluation, and adaptation. Work with engineering, product management, and other partners to define workstreams, requirements, schedules, resources, and milestones. Identify and implement risk mitigations and resolve issues. Provide project status updates to various audiences. | DataPost-train | 7 |
| AI Software Engineer, Full Stack, NotebookLM AI Software Engineer focused on building the full-stack web application for NotebookLM, a product that redefines user interaction with information by creating a thinking partner. The role involves developing agentic workflows, integrating AI features into scalable web interfaces, and collaborating across teams to launch new product capabilities. | AgentServe | 7 |
| Software Engineer III, AI Answers Quality Software Engineer III role focused on improving AI Answers Quality within Google Search. The role involves developing code for product/system development, participating in design reviews, running live experiments, and triaging/debugging issues. The primary goal is to provide nuanced and diverse answers to user queries, leveraging question-answering technologies at scale. Experience in information retrieval, search quality, ranking systems, and machine learning is preferred. | Ship | 7 |
| Senior Data Engineer, GTM Senior Data Engineer role focused on building data pipelines and infrastructure to process unstructured customer feedback data, integrating AI agents and LLMs for insights and routing. The role involves NLP, embedding workflows, and MLOps/LLMOps principles. | DataAgent | 7 |
| Software Engineer, AI/ML Computer Vision Software Engineer role focused on implementing computer vision solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in Computer Vision and ML infrastructure. | ServeData | 7 |
| Lead Group Product Manager, Ads and Commerce, Payments Risk Lead Group Product Manager for Payments Risk at Google, focusing on building risk management functions for enterprise products like Ads, Cloud, and Workspace. The role involves defining product strategy, partnering with engineering and data science, and leveraging ML/Generative AI to manage risk and protect against bad actors within the Payments Platform. Requires experience launching AI/ML products and managing technical roadmaps. | Ship | 7 |
| Senior Software Engineer, AI/ML, Ads Safety Senior Software Engineer role focused on AI/ML within Google Ads Safety. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. Requires experience in software development, ML infrastructure, and quantitative fields. | Serve | 7 |
| Staff Software Engineering Manager, Emergent AI Infrastructure Staff Software Engineering Manager for Emergent AI Infrastructure at Google, focusing on building and scaling AI infrastructure for Google customers, including internal teams, Google Cloud customers, and end-users. The role involves technical leadership, people management, and ensuring security for large-scale, sophisticated projects with high security requirements, including those supporting top-secret cleared projects. | Serve | 7 |
| Compiler Engineer Compiler Engineer for Tensor Processing Unit (TPU) to accelerate machine learning workloads. This role involves architecting and compiling distributed implementations, collaborating with hardware and software teams to optimize ML chip performance, and enabling processors for ML acceleration. Requires experience in software development and familiarity with ML infrastructure or related ML fields. | Serve | 7 |
| Tech Lead, Google Kubernetes Engine AI Platform Tech Lead for Google Kubernetes Engine (GKE) AI Platform, focusing on managing containerized AI/ML workloads on GPU/TPU infrastructure using Kubernetes. The role involves driving innovation in reliability, efficiency, and scale of AI infrastructure, engaging with customers, and leading technical direction for ML workload efficiency and optimization. | Serve | 7 |
| Software Engineer, AI/ML, Chronicle Security Software Engineer role focused on building AI/ML solutions for Google's Chronicle Security product, involving AI agents, LLM applications, ML infrastructure, model optimization, and large-scale data processing within a security context. | AgentData | 7 |
| Technical Program Manager III, Agentic Automation, Platforms and Devices Technical Program Manager III role focused on Agentic Automation within Google's Platforms and Devices team. The role involves leading cross-functional program execution, defining milestones, creating automated processes using AI/ML tools, and managing risks and dependencies for projects in the Agentic Automation pillar. Requires experience with Generative AI, LLMs, and ML. | Agent | 7 |
| Product Manager, Governance Risk and Compliance Tooling Product Manager for Governance Risk and Compliance (GRC) tooling and infrastructure team, focusing on integrating AI/ML capabilities into GRC infrastructure to automate risk assessments and compliance monitoring. The role involves defining product strategy, managing the full product lifecycle, and partnering with engineering, data science, legal, and privacy stakeholders to deliver AI-first solutions. | Agent | 7 |
| Image Processing Engineer Image Processing Engineer role focused on optimizing image quality across hardware and software stacks, fine-tuning 3A algorithms, and building ML automation tools for image quality tuning, testing, benchmarking, and calibration workflows. Requires experience in image quality or computer vision and proficiency in Python and C++. | Data | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role involves managing complex, multi-disciplinary machine learning technology programs from start to finish, working with cross-functional teams to define requirements, identify risks, manage schedules, and communicate progress. The focus is on driving innovation in ML technologies that enable Google's products to understand users, contributing to AI and Infrastructure at scale. | Ship | 7 |
| Senior Software Engineer, Vision, Camera and Imaging, XR Senior Software Engineer role focused on developing full-stack vision, camera, and imaging solutions for XR devices, integrating AI and XR technologies to create augmented human intelligence experiences. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing new technologies, and collaborating across multiple teams including Google Research. | ShipAgent | 7 |
| Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering This role focuses on applying AI strategies to optimize Google's compute infrastructure, specifically within the CoreOS and Agentic Engineering teams. The engineer will build tools for kernel quality insights, manage the rollout of fixes, and contribute to the AI revolution in testing, releasing, and supporting the CoreOS. The role involves a mix of exploration, engineering, and productionization, aiming to develop critical services powered by AI. | Serve | 7 |
| Photos Mission Tech Lead, Applied AI, Full Stack Google Photos is seeking a Mission Tech Lead for Applied AI, focusing on Generative AI product features. This role involves defining long-term engineering goals, technical strategy, and architectural roadmaps, with a strong emphasis on prototyping and validating zero-to-one Generative AI concepts. The position requires extensive full-stack development experience, including back-end (Java, Python, GO, C++) and front-end (JavaScript, TypeScript), as well as experience with Generative AI Agents. | Agent | 7 |
| Senior Technical Solutions Consultant Senior Technical Solutions Consultant responsible for the technical relationship of Google's largest advertising clients and/or product partners. This role will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. The role will lead the end-to-end architecture and implementation of a Digital Twin ecosystem for Google’s consumer hardware product design and manufacturing, integrating Vertex AI/Gemini Enterprise to pioneer autonomous agents that drive agentic insights and action automations. | AgentServe | 7 |
| Senior UX Designer, Cloud AI Senior UX Designer for Google Cloud AI, focusing on designing the user experience for enterprise AI agents, including orchestration, reasoning transparency, and human-in-the-loop oversight. The role involves creating foundational UX frameworks, interfaces for complex AI reasoning, and human-AI collaboration mechanisms. | Agent | 7 |
| Senior Software Engineering Manager, Dataproc, Google Cloud Senior Software Engineering Manager for Google Cloud Dataproc, responsible for leading a team to build an AI-ready data platform with GPU support, specialized runtimes, and integration with Vertex AI. The role involves architecting lakehouse solutions, optimizing open-source stacks, and directing the integration of AI/ML workloads for enterprise customers. | ServeData | 7 |
| Senior Product Manager, AI Gmail Promotions Product Manager for Gmail Promotions Tab, focusing on leveraging AI/ML to personalize user experience, drive revenue, and scale engagement for 800M+ users. Requires experience launching AI/ML features for consumer products. | Ship | 7 |
| Software Engineer, Google Ads, Actor Safety ML Infrastructure Software Engineer role focused on building ML infrastructure for Google Ads, specifically for actor safety. Requires experience in software development (Python, C++, SQL) and building large-scale infrastructure, distributed systems, or compute technologies. Experience with machine learning infrastructure is a minimum qualification. | Serve | 7 |
| Software Engineer, GPU Performance Software Engineer focused on optimizing GPU performance for Google's AI models and services. This role involves low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment. | Serve | 7 |
| Software Engineer III, AI/ML, Search Intelligence Freshness Software Engineer III role focused on ensuring Google Search's AI features (AI Overview and AI Mode) are up-to-date by incorporating real-time news context and freshness signals. This involves implementing ML solutions, utilizing ML infrastructure, optimizing models, and processing data, with a focus on improving the timeliness and accuracy of AI-generated information. | Agent | 7 |
| Software Engineer III, Generative AI, Payments Risk Software Engineer III role focused on building AI-driven risk management solutions for Google Payments, leveraging Generative AI and Machine Learning to combat online payment fraud. Responsibilities include developing novel solutions, implementing GenAI and ML models, and contributing to data preparation and optimization within a regulated fintech environment. | AgentData | 7 |
| Senior Staff Software Engineer, AI Innovation Senior Staff Software Engineer role focused on AI Innovation, providing technical oversight, mentorship, and strategy for AI and Infrastructure teams at Google. The role involves integrating generative AI tools and LLM interfaces into workflows, contributing to the development of AI models and platforms, and ensuring smooth project transitions. Requires strong programming, design, and architecture experience, with a focus on technical leadership and execution. | Agent | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads Software Engineer III at Google Ads focused on building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product or system development code, collaborating with peers, triaging issues, and debugging. Minimum qualifications include a Bachelor's degree, programming experience in Python or C++, and experience building/deploying recommendation systems models and ML infrastructure in production. | ShipData | 7 |
| Product Manager, Android Infrastructure Product Manager for Android Infrastructure at Google, focusing on integrating AI across the Software Development Life Cycle (SDLC) to enhance developer productivity. The role involves defining strategy, leading integration of agentic tools, and collaborating with teams like DeepMind to deliver AI-powered solutions for Google developers. | Agent | 7 |
| Software Engineer III, AI/ML, Google Play Software Engineer III role at Google Play focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure or a specialization in an ML field like speech/audio or reinforcement learning. | Serve | 7 |
| Group Product Manager, Google Images, Search and Feed Product leader to define and drive the roadmap for Google Images, transforming it into a continuous, assistive discovery journey. This role will leverage generative AI and LLMs to create novel user experiences, focusing on visual discovery, real-world outcomes, and personalized, queryless feed experiences. The role involves leading and mentoring a team of product managers and working cross-functionally to guide products from conception to launch. | ShipAgent | 7 |
| Principal Engineer, Messaging, Platforms and Devices Principal Engineer role focused on defining the architectural roadmap for the Google Messages platform and leading the internal AI transformation by integrating generative AI, autonomous coding agents, and automated workflows to accelerate developer velocity. This role involves technical leadership, mentoring, and evolving software development practices. | Agent | 7 |
| Senior Software Engineer, AI/ML, Sensor Fusion, XR Senior Software Engineer role focused on developing and implementing machine learning models for real-time wear detection on consumer XR glasses. The role involves the full development lifecycle, from requirements to implementation, with a focus on power efficiency and accuracy on resource-constrained hardware. Collaboration with cross-functional teams is key. | Serve | 7 |
| Applied AI Staff Software Engineer, Looker Staff Software Engineer to lead the integration of AI and LLMs into the Looker data visualization and dashboarding platform, aiming to automate insights, enhance data storytelling, and build business intelligence experiences. | ShipAgent | 7 |
| Senior Product Technology Manager, Cloud Support on Gemini Product Technology Manager role focused on defining and executing the product strategy for AI-driven customer support experiences using agentic systems. The role involves conceptualizing, developing, and launching these systems, owning product requirements, and acting as a subject matter expert on technical knowledge for the support organization. | Agent | 7 |
