Google currently has 612 active AI-related job listings. The majority of these roles, 44%, are focused on agents, with serving infrastructure representing another significant portion at 25%. Engineering is the most frequent function for these positions. The company is hiring for AI roles across several technical areas, including agent orchestration, model serving, and LLM observability.
Currently tracking 528 active AI roles, with 1268 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), Senior Software Engineer (3), Software Engineer III, AI/ML, Google Cloud (3), AI Adoption Customer Engineer, Google Cloud (2), AI Outcome Customer Engineer, Cloud AI Tech GTM (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), 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 (381 roles), India (53 roles), Singapore (40 roles), United Kingdom (26 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 525 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Sales Specialist Manager, Canada, Google Cloud Lead a team of AI Sales Specialists to grow Google Cloud's AI business by building and expanding relationships with new and existing customers. This role involves driving pipeline, managing sales cycles, developing go-to-market plans, and influencing strategic direction by identifying AI use cases for Google Cloud products and solutions. Requires significant experience in enterprise software, cloud, or AI sales, with leadership experience and a focus on selling AI technology. | — | 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 |
| GECX Sales Specialist, Manager, Google Cloud |
| — |
| 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 |
| Lead Technical Program Manager, Google Cloud Lead Technical Program Manager for Google Cloud's product vulnerability management, focusing on security programs in a rapidly evolving AI landscape. This role involves strategic leadership, risk mitigation, and cross-functional collaboration to ensure the security of GCP products against AI-driven threats. | — | 5 |
| Principal Virologist, Responsible Development and Innovation, DeepMind This role focuses on evaluating AI models for biological threats, integrating scientific insights into safety frameworks, and shaping biosecurity mitigation strategies. The Principal Virologist will partner with AI researchers and engineers to embed biosecurity protocols and conduct advanced biology evaluations against AI models. | — | 5 |
| Software Engineer, Magic Eye Software Engineer role focused on building and maintaining analytics and storage pipelines for user behavior insights across Google's ecosystem. The role involves applying advanced ML/statistical techniques, managing large-scale data storage, and collaborating with data scientists and product managers to derive company-wide insights. | Data | 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 |
| Senior UX Designer, AI Governance, Workspace This role is for a Senior UX Designer focused on AI Governance within Google Workspace. The designer will lead the creation of user experiences for enterprise controls related to AI deployment, agentic behavior guardrails, attribution management, and data security/compliance. The goal is to build trust, security, and reliability in AI systems for large organizations. While the role interacts with AI capabilities and model builders, the core craft is UX design, not AI/ML model development. | — | 5 |
| Group Product Manager, Google Play This role is for a Group Product Manager on the Google Play Games team, focusing on building new experiences for gamers. The role involves leading cross-functional teams from concept to launch, defining product strategy, and leveraging AI infrastructure to drive growth and innovation within the gaming platform. The position emphasizes rapid prototyping, testing, and launching new features, with a focus on scaling global consumer products. | — | 5 |
| Cloud Engineer, Data and AI, Professional Services, Google Cloud (Multiple Languages) Google Cloud Professional Services role focused on designing and implementing ML solutions for enterprise customers, leveraging Google Cloud products like TensorFlow and Vertex AI. The role involves acting as a trusted technical advisor, providing architecture guidance, deploying solutions, and delivering workshops. | Agent | 5 |
| Senior Product Manager, Google AI Subscription and Monetization Product Manager for Google AI subscriptions, focused on increasing subscriber growth and revenue by integrating AI features across Google products and identifying monetization strategies. This role involves roadmap development, cross-functional collaboration, and go-to-market strategies for Google One's AI features and cloud storage. | — | 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 |
| Special Initiatives Manager, Leadership Support Services This role focuses on operational management and security initiatives within Google's Leadership Support Services. While it leverages AI-driven tools and advanced analytics to synthesize data, inform stakeholders, and automate workflows, the core function is not the direct development or research of AI models. The role involves integrating AI initiatives into executive protection and support, managing crisis activations, and driving operational effectiveness through data insights and process standardization. The primary output is enhanced operational security and support, not AI models themselves. | — | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure This role is a Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business. The individual will work with product management, engineering, and other cross-functional teams to develop business and product strategies, drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations. The role involves defining business metrics, performing market analysis, and facilitating business reviews. The focus is on empowering customers with AI and infrastructure capabilities at scale. | — | 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 |
| UX Research Manager, AI Mode Lead and mentor a team of UX researchers focused on understanding user needs and behaviors for AI-powered search features, influencing product strategy and ensuring user-centered development. | — | 5 |
| AI GTM Sales Play Program Manager, Google Cloud Program Manager for Google Cloud's AI Go-To-Market (GTM) team, responsible for developing and maintaining sales plays and managing launches of AI products, models, and developer tools. The role involves coordinating cross-functional teams, managing project plans, ensuring timely delivery to the field, and driving the creation of enablement assets. While the role is within an AI-focused organization and involves AI products, the core function is program management and GTM strategy, not direct AI/ML model development or research. | — | 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 |
| Technical Program Manager, AI Technical Program Manager at Google, focusing on the Core team that builds the technical foundation for Google's flagship products. This role involves leading complex, cross-functional engineering efforts, particularly those involving AI/ML software development projects, using Agile methodologies. The TPM will be responsible for planning, execution, stakeholder management, and driving programs from start to finish, ensuring alignment with key success metrics and impacting technical decisions across the company. | — | 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 |
| Senior Mechanical Engineer, Robotics, DeepMind This role is for a Senior Mechanical Engineer on the Google DeepMind Robotics team, focusing on designing and developing mechanical systems for advanced AI-powered robotic platforms. The role involves integrating AI models like Gemini Robotics with physical robot hardware, ensuring high-performance requirements, thermal management, and system reliability through rigorous testing. While the team is at the forefront of AI research and application in robotics, this specific role is centered on the mechanical engineering aspects of bringing these AI capabilities to the physical world. | — | 5 |
| Technical Program Manager, Product Quality and Reliability Technical Program Manager for Product Quality and Reliability at Google, focusing on AI and ML infrastructure. The role involves managing end-to-end quality for AI/ML new product introductions, defining program portfolios, establishing governance, leading cross-functional teams, and driving continuous improvement through data analysis and root cause investigations. The role supports the AI and Infrastructure team in delivering AI and infrastructure at scale. | — | 5 |
| Senior Security Engineer, Google Threat Intelligence Group This role focuses on understanding and communicating threats and vulnerabilities related to AI/ML systems within a cybersecurity context. The Senior Security Engineer will act as a lead onsite Mandiant authority for a client focused on AI technologies, translating technical data into strategic intelligence to counter AI-driven cyber risks. Responsibilities include producing threat intelligence reports, fostering collaboration, and developing best practices for integrating AI-driven detection into the SDLC. The role requires experience with security assessments, network security, and applying Cyber Threat Intelligence (CTI) methodologies, with a strong understanding of AI/ML concepts being preferred. | — | 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 |
| Pursuit AI Lead, Google Cloud This role is a customer-facing sales and strategy role focused on driving enterprise AI transformation using Google Cloud services. The individual will define AI transformation strategies, architect AI services, build proposals, and act as a trusted advisor to customers, partnering closely with sales leadership. While the role involves understanding and positioning AI capabilities, it does not involve direct AI/ML model development or research. | — | 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 |
| Live Solutions Consultant This role is a Live Solutions Consultant for YouTube, focusing on driving growth through technical expertise and stakeholder insights. Responsibilities include configuring stream encoders, mapping live signal chains, performing network readiness assessments, and developing automation solutions for event enhancement. The role requires experience with live broadcasts, streaming protocols, and digital video broadcasting, as well as experience with Generative AI tools and platforms. | — | 5 |
| AI Sales Specialist, Financial Services, Google Cloud AI Sales Specialist for Google Cloud's Financial Services sector, focusing on building customer relationships, demonstrating AI solutions (including Gemini and Vertex AI), and driving business growth. The role involves working with customers to deliver business value and identify new product opportunities leveraging AI. | — | 5 |
| AI Sales Specialist, Google Cloud The AI Sales Specialist will drive Google Cloud's AI business by building and expanding customer relationships, demonstrating product functionality, and identifying key business use cases. This role involves working with customers to build new products leveraging AI solutions, managing customer relationships, and developing Go-to-Market strategies. The specialist will act as a trusted advisor, deliver against sales quotas, and execute strategic account plans with a focus on responsible AI. | — | 5 |
| Product Lead, Gmail Life Management Product Lead for Gmail Life Management, focusing on integrating shopping journeys and AI features like AI Inbox and Summaries into Gmail to help users manage their lives. This role requires collaboration across various Google teams (Wallet, Shopping, Ads, DeepMind) and driving product definition from conception to launch. | — | 5 |