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 514 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 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). 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 (388 roles), India (50 roles), Singapore (43 roles), Poland (23 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 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Silicon Design Verification Lead, Google Cloud Lead Silicon Design Verification for Google Cloud's custom hardware, focusing on AI/ML workloads on TPUs. Responsibilities include full verification life-cycle management, team leadership, and ensuring reliability for AI/ML applications. | — | 5 |
| Staff Software Engineer, Security/Privacy Staff Software Engineer, Security/Privacy role focused on overseeing platform security architecture in the AI era, guiding its evolution, and leading IDP Agentic Security initiatives. The role involves coordinating with engineering and security teams, mentoring engineers, and establishing operational frameworks. It requires deep understanding of internal infrastructure and a focus on protecting against risks from autonomous AI. | — | 5 |
| Model UX Designer This role is for an Interaction Designer focused on AI initiatives within Google's Ads Privacy and Safety UX team. The designer will translate complex AI concepts like foundational models and agentic workflows into intuitive user interfaces and experiences for Google developers. They will use AI tools and prompt engineering in their daily workflow to accelerate prototyping and discover new ways of working, focusing on crafting user journeys, wireframes, and interactive prototypes for novel AI interactions such as chat interfaces and autonomous agent hand-offs. Collaboration with Engineers, Product Managers, and Research Scientists is key. |
| Agent |
| 5 |
| Senior UX Engineer, Ads Privacy and Safety This role is for a Senior UX Engineer on an AI-forward team focused on Ads Privacy and Safety. The engineer will bridge design and AI capabilities, prototyping and developing AI-driven interfaces and architecting frameworks to translate ML models into user-friendly tools. The role emphasizes user-centric design and aims to redefine workflows with AI. | — | 5 |
| Senior Staff Software Engineer, Search Ads, Quality, Backend Senior Staff Software Engineer for Google's Search Ads Quality Backend team, focusing on local search ads. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions at the intersection of data, information retrieval, ML, and infrastructure to improve user experience and drive business growth. | — | 5 |
| Senior Compliance Analyst, Public Sector This role is for a Senior Compliance Analyst in Google Public Sector, focusing on modernizing compliance operations by integrating generative AI to automate risk management workflows. The role involves leading cross-functional initiatives, building security architecture governance frameworks, and influencing global stakeholders to ensure compliance drives business growth. It requires experience with government compliance frameworks and leveraging AI tools for automation. | — | 5 |
| Customer Engineering Manager, Data Analytics, Google Cloud This role is for a Customer Engineering Manager for Data Analytics at Google Cloud, focusing on accelerating customer success by providing technical expertise and leading a team of subject matter experts. The role involves modernizing data architectures for AI readiness, leading the data-for-AI technical community, influencing product roadmaps, and leading technical engagements with strategic customers. While the role focuses on enabling customers with AI, the core responsibility is customer engineering and management, not direct AI/ML model development or research. | — | 5 |
| Engineering Manager, Egregious Abuse Protection This Engineering Manager role focuses on leading a team to protect users and the platform against Violent Extremism (VE) and Non-Consensual Intimate Imagery (NCII). The role involves managing software engineers, shaping technical roadmaps, and integrating generative AI tools or LLM interfaces into workflows for abuse detection and mitigation. The team builds foundational technical systems for Google's products, emphasizing robust, privacy-sensitive, and scalable distributed systems. | Ship | 5 |
| Manager, Ads Solution Engineering Manager for Ads Solution Engineering team at Google, focusing on leading engineers to develop and scale technical solutions for advertisers using Google Ads. The role involves driving AI and automation initiatives, collaborating with cross-functional teams, and delivering strategic goals to unlock growth for the Google Ads Business. | — | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure. This role is part of the AI and Infrastructure team, which empowers Google customers with AI and Infrastructure at scale. The team is responsible for Google's groundbreaking innovations, delivering computing power to global services, and providing platforms for developers. The role involves writing and testing product or system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Go, or Python, and 2 years of experience in large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, and machine learning infrastructure. | — | 5 |
| Staff Software Engineer, Health Data Foundations and Analytics Staff Software Engineer on the Health Data Foundations and Analytics team at Google, focusing on organizing and transforming health and fitness data to support AI innovation. The role involves technical leadership, software development, and integrating generative AI tools and LLMs into workflows. This position is crucial for high-impact projects within Google Health, aiming to improve personal health outcomes globally. | Data | 5 |
| Enforcement Detection Analyst, YouTube, Trust and Safety This role focuses on developing and implementing strategies to enforce YouTube policies at scale, leveraging Machine Learning and Large Language Models (LLMs) for abuse detection and mitigation. The analyst will collaborate with cross-functional teams, provide incident response, and design prompts for LLMs to improve content classification. | Agent | 5 |
| Data Engineer, Global Affairs Data Engineer role focused on building and scaling data products for a Global Affairs organization, leveraging Google's AI/ML ecosystem to enable data-driven and AI-driven business decisions. Responsibilities include architecting data pipelines, managing ETL, and supporting data infrastructure. | — | 5 |
| Physical Design Lead, Google Cloud This role focuses on the physical design of ASICs for machine learning accelerators in data centers, contributing to the hardware that powers Google's AI and cloud infrastructure. The role involves managing complex SoC designs from conception to tape-out, collaborating with various engineering teams to ensure optimal performance, power, and area. | — | 5 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer within Google Cloud's Forward Deployed Engineering team. The primary focus is on bridging the gap between pre-sales and post-sales execution for strategic enterprise accounts, acting as an enterprise architect, technical debugger, and engineering liaison. The role involves shaping solutions for adoption and delivery, leading technical design, debugging complex issues, integrating AI models and agents into customer IT ecosystems, and translating field feedback into product improvements. The goal is to drive customer success and adoption of Google's AI portfolio, including Gemini models and Vertex AI. | — | 5 |
| Software Engineer III, Google Play, Promotion Platform Software Engineer III at Google Play, focusing on the promotion platform and e-commerce experience. Responsibilities include designing and building backend services, optimizing workflows, developing marketing tools, and implementing AI-powered chatbot solutions for customer support. The role involves working with micro-services architecture and collaborating with cross-functional teams. | Agent | 5 |
| Scaled Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, providing technical demonstrations, advising customers on AI-driven transformations, and architecting GCP solutions with AI/ML at their core. | — | 5 |
| Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, owning technical aspects of solutions, and acting as a strategic technical advisor by architecting GCP solutions with AI/ML at their core. | — | 5 |
| Senior Software Engineer, Full Stack, Stitch Google is seeking a Senior Software Engineer for the Stitch team, an AI tool that generates UI designs and front-end code from natural language and image inputs. The role involves full-stack development, writing and testing code, participating in design reviews, and debugging issues to improve the app creation workflow. | Ship | 5 |
| Staff Site Reliability Engineer, Cloud Reliability Intelligence Staff Site Reliability Engineer for Google Cloud's Reliability Intelligence team, focusing on building an evergreen intelligence platform. The role involves integrating Generative AI and LLM-driven workflows to move from reactive tracking to a predictive system for failure detection and automated risk mitigation. Responsibilities include owning the technical roadmap, designing scalable backend pipelines and UIs, and prototyping/productionizing LLM features for incident data parsing and reliability fixes. | Agent | 5 |
| Security Engineer, Information Security Engineering Product AI Research and Security This role focuses on ensuring the security of Google's AI products and features by identifying and mitigating vulnerabilities throughout the product lifecycle. It involves analyzing AI products, conducting threat modeling, and researching new security threats within AI technologies, while also leveraging AI tools for daily tasks. | — | 5 |
| Staff Software Engineer, Git Development Suite Google is seeking a Staff Software Engineer for the Git Development Suite team, focused on enhancing the Git ecosystem for Google's developers. The role involves providing technical leadership, architecting scalable features for Git-based supply chain infrastructure, and influencing engineering teams. A key aspect is integrating generative AI tools or LLM interfaces into developer workflows, aiming to improve the overall developer experience within Google's large-scale environment. | — | 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud, focusing on AI, data, or infrastructure solutions for regional systems integrators. The role involves pre-sales architectural support, driving bootcamps, hackathons, and technical sessions to enable partners and accelerate business cycles. The goal is to ensure high-quality, on-time delivery of solutions and secure partner ROI, while deflecting post-sales delivery. | — | 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud Platform, focusing on AI, data, and infrastructure solutions for regional systems integrators. This role involves pre-sales architectural support, driving partner technical capabilities, and contributing to joint business plans. The primary focus is on enabling partners to deliver solutions to customers, rather than direct AI model development. | — | 5 |
| Software Engineer, External API Security This role focuses on securing Google's external API boundaries by developing AI-assisted security scanning systems, driving remediation campaigns, and collaborating with product teams to establish secure-by-default architectures. The engineer will build and maintain infrastructure for security policy enforcement and analyze authorization bypass patterns, potentially evaluating agent-based AI systems. | Agent | 5 |
| Staff Software Engineer, Shopping Product Graph Staff Software Engineer at Google working on the Shopping Product Graph, focusing on building large-scale software solutions and integrating Generative AI tools or LLM interfaces into workflows. The role involves technical leadership, influencing and coaching teams, managing project priorities, and designing, developing, testing, deploying, maintaining, and enhancing software solutions. The position is within the consumer domain and is considered mature. | — | 5 |
| Staff Motion Designer, Android + Pixel UX Staff Motion Designer for Android + Pixel UX, focusing on creating fluid, natural, and informative product experiences. This role involves collaborating with cross-functional teams, defining motion design language, and leveraging AI tools for prototyping. Requires 8 years of UX experience, including Generative AI and animation. | — | 5 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer role focused on Generative AI solutions for enterprise clients on Google Cloud. Responsibilities include technical advisory, solution design, proof-of-concepts, and guiding customers in adopting agentic AI systems. Requires experience with cloud-native architecture, programming languages, and agentic AI frameworks. | — | 5 |
| Software Engineer Manager, Cloud Observability Google Cloud Observability is seeking a Software Engineer Manager to lead the Cloud Metrics Platform team. This role involves managing engineers, setting team priorities, developing technical roadmaps, and guiding system designs. The team provides essential public-facing APIs for cloud monitoring, enabling customers to gain insights into system health, generate alerts, and maximize availability for enterprise applications and AI workloads. | — | 5 |
| Staff Software Engineer, Server Foundations Staff Software Engineer for Google's Core team, focusing on building the technical foundation for flagship products. The role involves providing technical leadership, designing and implementing internal development platforms, and managing the lifecycle of complex multi-tier applications. Experience integrating generative AI tools and LLM interfaces into workflows is required, with preferred experience in Platform as a Service or AI Platform. | — | 5 |
| Customer Engineer, AI, Google Cloud (Korean, English) Customer Engineer for Gemini Enterprise, focusing on integrating Generative AI into enterprise environments on Google Cloud. This role involves partnering with technical sales, architecting secure and data-connected solutions, and acting as a technical authority to drive adoption and prove the value of Google Cloud's AI portfolio. | — | 5 |
| Software Engineer III, Ads Campaign Automation (Mandarin) Software Engineer III role focused on Ads Campaign Automation, involving large-scale experiments for Ads serving, bidding models, and retrieval systems. Requires strong software development skills, data-driven approaches, and collaboration with cross-functional teams. Familiarity with GenAI concepts is preferred. | Serve | 5 |
| Software Engineer II, Engineering Productivity Software Engineer II, Engineering Productivity at Google, focusing on developing and maintaining classifiers for trust policies in search products, supporting trust and safety teams, and integrating with various services. The role requires experience with software development, data structures, algorithms, building developer tools, and using AutoML for NLP tasks, with a preference for familiarity with data pipelines and LLM development. | Ship | 5 |
| Ads Solutions Engineer, gTech This role focuses on building and scaling technical solutions for Google's advertising clients, leveraging emerging technologies and engineering skills to automate workflows, adapt existing solutions, and drive customer growth. The role involves a technical relationship with clients, cross-functional collaboration, and owning the solution lifecycle from discovery to maintenance. | Ship | 5 |
| Software Engineer, Ads Campaign Automation (Mandarin) Software Engineer role focused on Ads Campaign Automation, involving large-scale experiments for ads serving, bidding models, and retrieval systems. Requires experience with ads buying platforms, campaign automation, optimization, and performance diagnosis within the ads ecosystem. Fluency in Mandarin is essential for regional collaboration. | Serve | 5 |
| Software Engineer, TPU Host Networking Software Engineer role focused on the TPU Host Networking stack, enabling large-scale training and low-latency inference for ML workloads. Responsibilities include designing, developing, testing, and debugging the networking stack from hardware to ML frameworks, and optimizing performance. Requires C++ and networking protocols experience. | — | 5 |
| Staff Software Engineer/Tech Lead, ML Network Infrastructure Staff Software Engineer/Tech Lead for ML Network Infrastructure at Google. This role focuses on setting technical strategy and architecting/building software for distributed services and components that power Google's ML network infrastructure. The team aims to redefine AI and Infrastructure at scale, supporting Google's AI models and global services. The role involves leading technical strategy, designing and implementing agentic SDLC leveraging LLMs, driving development from requirements to deployment, collaborating across teams, and mentoring engineers. | — | 5 |
| Engineering Director, Data Center Hardware Lead the engineering strategy and execution for next-generation data center hardware, including ASICs, TPUs, GPUs, and networking, for hyperscale deployment. Drive products from concept to high-volume manufacturing, managing external partners and ensuring system-level performance and reliability. | — | 5 |
| Web Solutions Engineer, Technology and Insights Partnership Systems YouTube This role involves designing, building, and deploying scalable web applications and back-end services for YouTube's content partner ecosystem. A key responsibility is integrating AI/ML technologies into business platforms to enhance operational capacity and provide conversational analytics. The role requires modernizing legacy systems, managing data pipelines, and collaborating with stakeholders to translate business needs into engineering solutions. Experience with full-stack development, system design, and AI/ML technologies like LLMs, vector embeddings, RAG, and agentic AI is preferred. | Agent | 5 |
| Customer Engineer Associate, Platform, Google Cloud Customer Engineer Associate for Google Cloud, focusing on enterprise AI solutions. This role involves partnering with technical sales teams to understand customer business challenges, architect cross-pillar cloud solutions, conduct proofs of concept, and drive technical wins. The role requires a blend of technical expertise, sales acumen, and communication skills to demonstrate the value of Google Cloud's AI innovations to customers. | — | 5 |
| Web Solution Engineer, GCS Engineering, gTech This role focuses on providing generative AI solutions for internal sellers and delivering scalable tools and platforms to large advertisers, agencies, and partners within the Google Ads ecosystem. The engineer will drive scale, innovation, and automation efficiencies through technical implementation, optimization, and engineering solutions, working closely with Product Managers and Engineering teams. | Ship | 5 |
| Senior Software Engineer, Ads Campaign Automation (Mandarin) Senior Software Engineer role focused on Ads Campaign Automation, involving technical strategy, design, development, and optimization of ad serving, bidding models, and retrieval systems. The role also guides Generative AI solutions for asset generation and requires collaboration with regional partners. Experience with large-scale distributed systems and ads platforms is preferred. | Ship | 5 |
| Software Engineer III, Google Store Software Engineer III at Google Store, focusing on building AI-driven algorithms for customer lifecycle management, AI-enhanced site operations, and agentic AI shopping assistance. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions within the Google Store's omnichannel retail platform. Emphasis on applied AI skill development. | Agent | 5 |
| Software Engineer III, Content Management System, YouTube Software Engineer III on the YouTube Content Management System team, responsible for designing, building, and maintaining systems that manage interactions between YouTube and media companies. The role involves architecting storage, indexing, and serving infrastructure for a global copyright database, and leading the integration of agentic tools for automating investigations. Domain expertise in the complex copyright landscape, influenced by Generative AI and regulatory changes, is a core requirement. | Agent | 5 |
| Engineering Analyst, Trust and Safety, YouTube This role focuses on using and improving LLMs for content moderation and abuse prevention on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving anti-abuse experiments. The role requires experience in data analysis, project management, and programming languages like Python or SQL, with a preference for machine learning systems experience. | Agent | 5 |
| Technical Program Manager, Antigravity (Data), DeepMind Technical Program Manager to own and lead critical data infrastructure initiatives for the Antigravity team, powering modeling flywheel, evaluation frameworks, and product telemetry. Requires technical depth in data engineering at scale, familiarity with data use cases for an agentic product, and collaboration with research and engineering teams. | — | 5 |
| Software Engineer III, Engineering Productivity, Tools and Infra Software Engineer III on the Crystalball team at Google, focused on building and improving tools for preventing performance regressions in the Android Platform. The role involves contributing to A/B benchmarking, metric visualization, alerting, bisection, and triage services. A key responsibility is integrating AI into workflows to reduce latency and save costs related to performance bugs. | Agent | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application, integrating Google technology across the stack, and driving innovation in mobile offerings for enterprise users. The role involves end-to-end application development, backend integration, and refinement of mobile features, with a focus on Gen AI and AI Chatbots. | Ship | 5 |
| Technical Lead, AI/ML Infrastructure This role focuses on building and delivering specialized AI compute platforms and infrastructure at Google, ensuring high availability for massive-scale AI workloads. It involves designing and integrating custom compute topologies with schedulers like Kubernetes, establishing observability, and collaborating with hardware teams. The role requires extensive experience in large-scale infrastructure, distributed systems, and software development. | — | 5 |
| Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers This role focuses on designing, developing, and optimizing end-to-end data pipelines and architectures within Google Data Centers. The Digital Execution Lead will ensure data integrity, security, and performance by building scalable ETL/ELT workflows, maintaining cloud data warehouses, and implementing data governance protocols. The role involves collaborating with cross-functional teams to enable advanced analytics and machine learning capabilities through reliable data infrastructure, and managing complex data dependencies using workflow orchestration tools. | — | 5 |
