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 |
|---|---|---|
| Partner Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer to build and deploy generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. The engineer will also build evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Engineering Analyst, Trust and Safety, Gemini and Labs This role focuses on architecting the approach to complex risks associated with AI, defining the strategic roadmap for model safety, anticipating future threats, and developing novel evaluation paradigms to influence product and research direction. The primary focus is on ensuring safety as a foundational component of AI systems, with a secondary involvement in fine-tuning techniques and classifier-based guardrails. |
| Eval GatePost-train |
| 8 |
| Silicon RTL Design Engineer, PhD, Google Cloud This role focuses on designing and verifying custom silicon solutions (TPUs) for AI/ML hardware acceleration within Google Cloud. The engineer will shape the future of TPU technology by architecting, modeling, and designing next-generation TPUs, optimizing for performance, power, and cost, and collaborating with hardware, software, and ML teams for effective hardware/software codesign. Responsibilities include ML workload characterization, developing architecture specifications, RTL design, and utilizing AI techniques for physical design. | Serve | 8 |
| Senior Software Engineer, AI/ML Senior Software Engineer role focused on developing and scaling Agentic AI and ML systems within the HR domain for Google employees. The role involves technical leadership, collaboration with stakeholders, and staying updated on AI/ML trends, with a strong emphasis on building multi-agent systems and generative AI solutions. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud 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, resolving production obstacles, and collaborating with Product, Engineering, and Sales leadership. The role focuses on bridging the gap between frontier AI products and production-grade reality for enterprise customers. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud Lead a team of AI/ML engineers focused on deploying bespoke agentic solutions within customer environments for Google Cloud's Public Sector and Education clients. This role involves technical mentorship, strategic alignment with sales and product leadership, and resolving production-level obstacles to achieve enterprise-grade AI maturity. The team leverages Google's frontier AI models and Vertex AI platform to solve complex business problems. | Agent | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior Software Engineer, AI/ML role focused on leading the design, development, and deployment of AI-powered solutions for HR processes within Google's global workforce. The role involves technical leadership, architecting scalable AI/ML systems, driving algorithm development, owning the MLOps lifecycle, and collaborating with cross-functional partners to translate business needs into AI-driven roadmaps. | Serve | 8 |
| AI/ML Infrastructure Software Engineer Software Engineer focused on building and maintaining the AI Flow Platform, a production service used by thousands of Googlers for various ML tasks including generative AI. The role involves developing end-to-end ML/AI features, incorporating prompt optimization, fine-tuning, and ML best practices into product development, and contributing to the platform's future direction. | ServePost-train | 8 |
| Applied AI and ML Engineer II This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within the finance domain. The engineer will build and scale AI agents, design system architectures for reliability and auditability, and implement evaluation frameworks and guardrails. The role requires experience in classical ML and LLMs, full-stack development, and working in regulated environments. | AgentServe | 8 |
| Applied AI and ML Engineer This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within Google's finance organization. The engineer will build and scale AI agents, design system architectures prioritizing reliability and auditability, and implement evaluation frameworks and guardrails. The role involves translating finance problems into technical specifications and partnering with stakeholders to drive AI-native workflows and efficiency. | AgentServe | 8 |
| Senior Software Engineer, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
| Software Engineering Manager, Agentic Search Software Engineering Manager for Agentic Search at Google, responsible for leading a team of engineers, driving product strategy, and overseeing the development and deployment of large-scale AI/ML and information retrieval systems. The role involves technical leadership, people management, and fostering AI innovation within the team. | Agent | 7 |
| Scaled Abuse Lead, YouTube Trust and Safety Lead a team of analysts to identify and remove abusive content and users on YouTube using machine learning models, advanced analytics, and behavioral signals. Drive insights on abuse detection effectiveness and develop strategies to reduce uncaught badness. | Agent | 7 |
| Silicon AI/ML DFT Engineer, Google Cloud This role focuses on Design for Testing (DFT) for AI/ML hardware acceleration, specifically Google's TPUs. The engineer will define, implement, and deploy DFT methodologies, ensuring silicon test strategies, reducing test cost, and increasing production quality. The role involves working with RTL, netlists, and collaborating with cross-functional teams on complex digital designs for next-generation SoCs powering AI/ML applications. | Serve | 7 |
| Staff Developer Experience Engineer, DeepMind This role focuses on developer experience and relations for DeepMind's GenAI product suite in India. The engineer will define and execute technical go-to-market strategies, build partnerships, influence product roadmaps based on regional insights, and act as a key liaison between core engineering teams and the Indian developer ecosystem. The role requires a strong technical background in AI/ML and experience with developer enablement. | ShipPretrain | 7 |
| Software Engineer III, AI/ML Software Engineer III, AI/ML at Google's Corp Eng team, focusing on building world-leading business solutions for internal Google use. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, data processing, model deployment, and model evaluation. | Serve | 7 |
| Software Engineering Manager, API Hub Google Cloud AI Research team is looking for a Software Engineering Manager to lead the engineering roadmap for the API Hub, transforming it into a repository for AI Assets like APIs, MCP Servers, and Agents. The role involves driving technical integrations, recruiting and mentoring engineering teams, and providing architectural guidance for cloud-native and AI-integrated systems. The ideal candidate will have experience managing engineering teams and architecting distributed systems, with a preference for experience in LLMs, Generative AI, and Agentic AI. | Agent | 7 |
| Staff Software Engineer, AI Garage Staff Software Engineer for the AI Garage team at Google, focusing on developing AI/ML systems and Agentic solutions within the HR domain. The role involves technical leadership, designing and building scalable Agentic systems, and collaborating with stakeholders to translate needs into technical solutions. Requires experience with Generative AI, Agentic AI, LLMs, and AI evaluations. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agent deployments. It requires experience in computational linguistics, building chatbots/voicebots, and NLP concepts. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms like Dialogflow, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agents. The role requires experience in computational linguistics or software engineering, and building chatbots or voicebots. | Agent | 7 |
| Software Engineering Manager, Databases, Google Cloud Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management and AI-assisted troubleshooting for enterprise users. The role involves leading a team of engineers, contributing to product strategy, and overseeing the development and deployment of large-scale AI/ML features for various Google Cloud databases. | AgentServe | 7 |
| Staff Software Engineer, Play Games Discovery Staff Software Engineer at Google Play focused on building personalized experiences for gamers using AI/ML recommendations. The role involves technical ownership, leadership, and designing/implementing ML solutions, optimizing infrastructure, and guiding model optimization and data processing. Experience in personalization, search quality, ranking, and recommendation systems is required. | Ship | 7 |
| Technical Program Manager, Geo Data Technical Program Manager for the Geo team, focused on architecting and building Generative AI solutions for moderation, scalability, and efficiency. The role involves managing the generation of labels for model improvements, serving as a point of contact for global regulatory workflows, and overseeing end-to-end project lifecycles. Experience with LLMs, prompt engineering, and GenAI moderation frameworks is preferred. | DataPost-train | 7 |
| Senior Salesforce Architect, Go-to-Market, Google Play This role focuses on architecting and implementing generative AI features, LLM-based applications, and self-supporting agents on the Salesforce platform for Go-to-Market teams. The Senior Salesforce Architect will lead technical solutions, drive business automation, and partner with various teams to define technical strategy. | Agent | 7 |
| Staff Software Engineer, Search Next Staff Software Engineer at Google, focusing on building transformative developer experiences for Search developers. The role involves working with AI for developers, building scalable platform systems for Search products, and potentially leveraging agentic frameworks and LLMs. Requires strong software development, design, and architecture experience, with a focus on ML infrastructure and deployment. | Ship | 7 |
| Senior Software Engineer, DevAI, Core Google is seeking a Senior Software Engineer to join the DevAI, Core team, focusing on building agentic solutions to automate code maintenance within Google3. This role involves designing, developing, and testing these solutions, partnering with distributed teams, and contributing to the Self-Maintaining Codebase (SMC) organization's goal of reducing code evolution costs and technical debt. | Agent | 7 |
| Engineering Manager Engineering Manager for Google Cloud's Access Intelligence team, focusing on building an intelligent security layer for IAM using machine learning and Generative AI to achieve 'Least Privilege' and 'Zero Standing Privileges'. The role involves leading a team, driving technical direction, and overseeing the development and deployment of scalable security features for Agentic AI. | Agent | 7 |
| Senior Software Engineer, AI/ML, Google Photos Reminiscing Senior Software Engineer for Google Photos Reminiscing team, focused on leveraging ML to enhance the Memories feature. The role involves developing high-quality software solutions, collaborating with cross-functional teams, and shaping technical direction. Requires experience in software development, ML infrastructure, and ML fields like speech/audio or reinforcement learning. | Ship | 7 |
| Practice Customer Engineer II, Cloud AI, Manufacturing and Conglomerate Customer Engineer specializing in AI for manufacturing and conglomerate industries, focusing on accelerating adoption of complex AI workloads, developing prototypes, and providing technical expertise to customers. The role involves integrating AI models with enterprise data using RAG and agent patterns, coding in Python/JS/Go/Java, and providing feedback to product development. | Agent | 7 |
| Software Engineering Manager, Emergent AI infrastructure Team Software Engineering Manager for an Emergent AI infrastructure team focused on building next-generation on-premises AI infrastructure, integrating hardware to software design, workload management, and large-scale AI clusters. The role involves technical leadership, people management, and overseeing the deployment of large-scale projects. | Serve | 7 |
| Software Engineer Manager II, Embedded Systems/Firmware, Silicon This role manages a team of compiler engineers focused on optimizing AI models for EdgeTPU hardware. Responsibilities include improving compiler quality and performance, developing parallelization and scheduling algorithms for ML workloads, and mapping AI models to hardware instructions. The role requires experience in compiler development, ML accelerators, and people management. | Serve | 7 |
| Senior Software Engineer, Server AI Foundations, Core Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure. | Agent | 7 |
| Software Engineer, AI/ML Software Engineer role focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in software development and ML infrastructure, with preferred qualifications in C++ and software design. | Serve | 7 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves writing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in ML areas including ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure (deployment, evaluation, optimization, data processing), and optionally speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer with expertise in AI/ML and large-scale distributed systems to design, test, deploy, and maintain software solutions for AI and Infrastructure (AI2) organization. The role involves defining technical goals, developing scalable systems, applying research expertise to complex problems, and contributing to essential Google services and Cloud products. | Serve | 7 |
| Design Verification Engineer, PhD, Early Career This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence. | Serve | 7 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power. | Serve | 7 |
| Software Engineer, PhD, Early Career, Campus, 2025 Start Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions. | Serve | 7 |
