Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer (AI/ML), Security/Privacy Staff Software Engineer role focused on defining and architecting the technical strategy and infrastructure for autonomous AI agents within Google Cloud Security and Privacy. The role involves leading development, mentoring engineers, and influencing product/engineering decisions at the intersection of AI research and production security applications. | Agent | 8 |
| Software Engineer, Applied AI, Agent Building, Google Cloud Platform Software Engineer role focused on applying Google's Generative AI to build, deploy, and optimize AI agents for enterprise customers on the Google Cloud Platform. This role involves direct customer engagement, co-development of conversational AI agents, and contributing to core product improvements. | Agent |
| 8 |
| Software Engineer, Agent Building, Applied AI, Google Cloud Platform Software Engineer role focused on applying Google's Generative AI to build, deploy, and optimize AI agents on the customer engagement suite (CES) platform for enterprise clients. The role involves direct customer partnership, problem-solving, custom tooling development, and providing feedback to core product teams. | Agent | 8 |
| Senior Software Engineer, AI Core Capabilities Senior Software Engineer focused on end-to-end delivery and optimization of on-device GenAI capabilities for Android, building developer-facing APIs and optimizing inference for Gemini Nano models. | ServeAgent | 8 |
| Senior Software Engineer, Sensor AI/ML, Watch Software Senior Software Engineer focused on AI/ML for sensor fusion and gesture recognition on Google's Pixel Watch and Fitbit devices. The role involves designing, training, and optimizing AI models for resource-constrained, on-body devices, with a strong emphasis on real-time inference, low-power formats (TFLite Micro), and C/C++ development for embedded systems. This position bridges research and engineering, requiring expertise in model optimization and deployment on edge devices. | ServePost-train | 8 |
| Staff Software Engineer, AI/ML, YouTube Ads Staff Software Engineer at Google, YouTube Ads, focusing on developing and scaling AI/ML models (deep learning, reinforcement learning, generative AI) for ad creative composition, personalization, and optimization. The role involves end-to-end development from concept to production, building ML pipelines, integrating generative models, and contributing to service architecture for high-throughput ad serving systems. | ShipPost-train | 8 |
| Software Engineer III, Generative AI Software Engineer III, Generative AI at Google Cloud AI Research. This role focuses on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The team works on research topics with real-world impact, aiming to push the state-of-the-art in AI and collaborate with product teams. The role requires experience with GenAI techniques like LLMs and Large Vision Models. | ShipServe | 8 |
| Technical Lead Manager, Applied AI, DeepMind Technical Lead Manager at DeepMind, Google, focused on leading teams to develop and deploy novel applications leveraging generative AI models. The role involves translating AI research into real-world products, shipping software, scaling products from concept to production, and optimizing ML infrastructure. Requires strong software engineering, leadership, and experience in fast-paced, early-stage environments. | Ship | 8 |
| Customer Engineer, Public Sector Customer Engineer role focused on architecting and managing Large Language Model (LLM) deployments, including on-premises and cloud environments. The role involves auditing multi-agent orchestration, agent construction, and vector databases, orchestrating scalable inference and training environments using Docker and Kubernetes, and securing the MLOps lifecycle against AI-specific threats. Requires significant experience in AI/ML development, infrastructure engineering, and container orchestration. | ServeAgent | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Staff Software Engineer at Google Cloud focused on designing, developing, and deploying large-scale GenAI solutions. The role involves leading ML infrastructure optimization, guiding data preparation and model optimization strategies, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models. Requires significant experience in software development, ML infrastructure, and GenAI. | ServePost-train | 8 |
| Senior Business Data Scientist, AI/ML, Google Cloud Senior Business Data Scientist focused on AI/ML for Google Cloud customer support. The role involves developing and deploying predictive, personalized, and proactive solutions using LLMs and intelligent autonomous agents. Key responsibilities include end-to-end development, implementing evaluation frameworks for LLMs and agents, monitoring production systems, and identifying AI/ML opportunities through stakeholder collaboration. The role emphasizes translating business needs into technical requirements and integrating advancements in generative AI and agent architectures. | AgentEval Gate | 8 |
| Field Solutions Architect III, Generative AI, Google Public Sector Field Solutions Architect for Google Public Sector, focusing on building rapid prototype generative AI applications for public sector customers. This role involves leveraging generative AI technologies, collaborating with product teams, and disseminating lessons learned. Responsibilities include designing end-to-end genAI solutions, demonstrating Google Cloud capabilities, building repeatable technical assets, and influencing product direction. Requires experience in applied AI with foundation models, prompt engineering, fine-tuning, RAG, and orchestrating model interactions, along with cloud platform experience and a security clearance. | AgentPost-train | 8 |
| Lead GenAI Forward Deployed Engineer, YouTube Google is seeking a Lead GenAI Forward Deployed Engineer for their YouTube AI Accelerator team. This role focuses on driving AI transformation for YouTube's business operations by redesigning workflows and deploying applied AI solutions. The engineer will build GenAI PoCs, lead the delivery of complex AI applications from prototype to production, and act as a trusted engineering partner. Responsibilities include authoring technical designs, writing code, building front-ends, and developing high-performance eval pipelines and observability frameworks to address AI bottlenecks. | AgentEval Gate | 8 |
| ML Software Engineer, GenAI for Youth ML Software Engineer focused on building scalable, responsible AI frameworks for youth-focused products. The role involves developing unified infrastructure, algorithmic steering, and automated validation layers to bridge foundational research with production environments, operating across global product lines and acting as a technical advisor. | Post-trainServe | 8 |
| Privacy and Security Technical Assurance Lead, RCI This role leads AI security assurance testing programs, focusing on independent technical validation and oversight of AI/ML controls. It involves offensive security testing, threat modeling, and collaborating with engineering and legal teams to ensure compliance with AI regulations. The primary output is the assurance testing framework and identified vulnerabilities, with a secondary focus on the security of tuned AI models. | Eval GatePost-train | 8 |
| 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 |
| Forward Deployed Engineering Manager, Gen AI Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with product and sales, and resolving production-level obstacles like data readiness, integration, and state management to achieve enterprise-grade AI maturity. | Agent | 8 |
| Software Engineer lll, AI Developer Tools Platform Software Engineer III on the AI Developer Tools Platform team, focusing on integrating Generative AI and LLMs for Cloud customers. Responsibilities include designing and implementing the platform, collaborating with researchers and product managers, and managing project priorities. Requires experience with ML infrastructure and software development. | ServeAgent | 8 |
| Software Engineer III, AI/ML Shopping Creator, YouTube Google is seeking a Software Engineer III for their YouTube Shopping Creator team. This role focuses on leveraging AI/ML to enhance creator content and engagement with shopping features. The engineer will lead the design and development of ML/AI models, architect systems integrating LLMs for intelligent recommendations, and collaborate with cross-functional teams to deliver the roadmap for AI capabilities. The role requires experience in software development and ML infrastructure, with preferred experience in e-commerce and deep understanding of ML/LLM systems. | Agent | 8 |
| Software Engineering Manager II, AI/ML, Google Cloud Compute Software Engineering Manager II for Google Cloud Compute, responsible for leading teams, setting technical vision, and overseeing the design and implementation of ML solutions, including ML infrastructure optimization and model development strategies. Requires strong software development and ML experience, with a focus on leadership and people management. | ServeData | 8 |
| Senior Software Engineering Manager, Agentic Platform, Cloud Security Manage a team of engineers building a Security Agentic Platform for Google Cloud Security Operations, enabling security agents and protecting organizations worldwide. The role involves technical leadership, team management, and overseeing the end-to-end development lifecycle of AI-driven agentic security solutions. | Agent | 8 |
| Software Engineer, AI/ML, Google Research Software Engineer role at Google Research focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in specialized ML areas like speech/audio, reinforcement learning, or ML infrastructure, with a focus on model deployment, evaluation, optimization, and data processing. | ServeData | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (Korean, English) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, strategic alignment, and resolving production-level obstacles related to data readiness, integration, and state management. The role involves leading hiring, identifying skill gaps, and collaborating with Product and Engineering to translate field insights into roadmaps. | Agent | 8 |
| Senior Silicon System and Software Integration Engineer, Google Cloud This role focuses on the hardware-software integration and validation of AI/ML accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications. | Serve | 8 |
| Senior Software Engineer, Applied AI/ML, CSP Senior Software Engineer role focused on Applied AI/ML within the Content Safety Platform at Google. The role involves technical leadership, designing and developing large-scale software solutions, and optimizing ML infrastructure. Key responsibilities include safeguarding users from harmful content, influencing technical direction, mentoring engineers, and leading the implementation of ML solutions, model optimization, and data processing strategies. Experience in speech/audio, reinforcement learning, or other ML fields, along with ML infrastructure experience, is required. | ServePost-train | 8 |
| Software Engineer III, XR World Context Software Engineer III at Google, focusing on the convergence of AI and XR. The role involves developing and productionalizing computer vision and machine learning technologies for spatial AI, context awareness, and 3D scene understanding, specifically for XR devices like headsets and smart glasses. The engineer will lead the development and deployment of Sensing capabilities, collaborate with system owners on roadmaps, and scale impact through robust systems and processes. | Ship | 8 |
| Software Engineer, Content Safety Software Engineer role focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, to protect Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training/evaluation/productionization, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on responsible AI principles and operational standards. | AgentData | 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 |
| Software Engineer III, GenAI Data Operations Research, XR Software Engineer III role focused on GenAI Data Operations Research for XR and Platforms & Devices. Responsibilities include leading synthetic dataset deliveries, building toolkits for GenAI inference and metadata extraction, and developing pipelines for fine-tuning foundational models. Requires experience in software development, ML infrastructure, and data processing, with a focus on speech/audio, reinforcement learning, or other ML specializations. | DataPost-train | 8 |
| Staff Software Engineer, Search Agentic Ecosystem Platform Staff Software Engineer to build the foundational platform for Google Search's Agentic Ecosystem, enabling AI Mode and Gemini to interact with third-party services for task completion. The role involves architecting core infrastructure, building use cases, ensuring cross-platform compatibility, and providing technical leadership. | Agent | 8 |
| Staff Software Engineer, Gemini Enterprise Staff Software Engineer role at Google focused on building the backend infrastructure and services for Gemini Enterprise, an AI platform for enterprise data. The role involves architecting orchestration layers for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver solutions for Cloud customers. Experience with C++, Java, Python, Go, software design, architecture, and integrating Generative AI tools is required. | AgentServe | 8 |
| Senior Staff Software Engineer, Gemini Enterprise Senior Staff Software Engineer role focused on building the core backend infrastructure and services for Gemini Enterprise, an AI platform for generative search, assistant, and agent applications over enterprise data. The role involves architecting orchestration layers and frameworks for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver high-impact solutions for Cloud customers. | AgentServe | 8 |
| Staff Software Engineer, Cloud AI Staff Software Engineer for Google Cloud's Gemini Enterprise, focusing on backend infrastructure, orchestration layers for LLMs and agentic workflows, and platform features. The role involves integrating Generative AI tools and LLM interfaces into enterprise solutions, partnering with cross-functional teams to leverage Google's AI models and GCP technologies for Cloud customers. | AgentServe | 8 |
| Software Engineer, ML Fleet Intelligence Software Engineer, ML Fleet Intelligence at Google, focused on applying AI/ML to predict, detect, and mitigate hardware and software faults across a global fleet of data centers and ML TPUs. This role involves leveraging large-scale data, optimizing ML infrastructure, and building automated systems to ensure reliability and uptime. | AgentServe | 8 |
| Silicon System and Software Integration Engineer, TPU Cloud This role focuses on the integration and validation of AI/ML hardware accelerators (TPUs) for Google's cloud infrastructure. The engineer will work on ASIC development, firmware, RTL, and software integration to ensure the functionality and performance of these chips, which power Google's AI/ML applications and services. | Serve | 8 |
| Software Engineer III, AI/ML, Proxybidder ML Software Engineer III on the Proxybidder ML team at Google, responsible for the full machine learning model lifecycle including design, training, deployment, and serving in production for Google Ads. The role involves innovating on model design, analyzing experiments, enhancing model health, and collaborating with research and infrastructure teams. Requires experience with Python, C++, mathematical modeling, and ML infrastructure, with a focus on low-latency production systems. | ServePost-train | 8 |
| Software Engineer III, Vertex Inference Software Engineer III for Google Cloud's Vertex Inference team, focusing on the dataplane for serving first-party models like Gemini. The role involves implementing GenAI solutions, utilizing ML infrastructure, and optimizing performance for AI/ML capabilities within Google Cloud. | ServePost-train | 8 |
| Technical lead, Google Cloud Security Technical lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs to enable enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. | Agent | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud This role involves building and deploying bespoke agentic AI solutions within customer environments using Google Cloud's AI portfolio, including Gemini models and Vertex AI. The engineer will address integration, data readiness, and state management challenges, architect connective tissue between AI products and customer infrastructure, build evaluation pipelines, and provide feedback to the product roadmap. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. | AgentServe | 8 |
| Forward Deployed Engineer, DeepMind This role embeds with strategic partners to architect, optimize, and build production-grade GenAI applications, driving joint evaluations and benchmarking to influence model development. It involves guiding partners on advanced implementation techniques like RAG and multimodal integrations, and building feedback loop tooling. | AgentEval Gate | 8 |
| Senior Software Engineering Manager, Agent Registry and AppHub Senior Software Engineering Manager at Google Cloud responsible for the Agent Registry and AppHub. This role focuses on building foundational infrastructure for an AI-native agentic cloud, managing teams, and driving best practices for distributed systems and AI/LLM adoption. Key responsibilities include owning multi-year roadmaps, transforming AppHub into a central registry for AI Agents, and delivering infrastructure for agentic observability and regulatory reporting. | Agent | 8 |
| Software Engineering Manager II, Agentic Planning and Memory Software Engineering Manager II for the Agentic Planning and Memory team, focused on building next-generation agentic capabilities for Google Workspace. The role involves developing advanced general function-calling approaches for autonomous workflow execution and an agentic memory layer for improved context retention, accuracy, personalization, and latency. The manager will lead teams, define technical roadmaps, and collaborate on integrating these capabilities into core Workspace products, impacting billions of users. | Agent | 8 |
| Senior Software Engineer, AI/ML, Geo and Gemini App Senior Software Engineer role focused on building AI/ML features for Google Geo products, involving agentic workflows, evaluation frameworks, and serving infrastructure enhancement. Requires experience with LLMs, RAG, and model quality optimization. | AgentEval Gate | 8 |
| Senior Engineering Manager AI Inference Platform, Distributed Cloud Senior Engineering Manager for AI Inference Platform, Distributed Cloud. Role focuses on architecting and optimizing the serving stack for models like Gemini in an on-prem cloud environment, improving speed, efficiency, and cost-effectiveness. Responsibilities include leading a team, defining technical vision for the LLM serving stack, overseeing performance analysis and benchmarking, and driving the design/implementation of advanced serving architectures. | Serve | 8 |
| Principal Consultant, AI/ML, Mandiant, Google Cloud This role focuses on architecting and building intelligent agents and tooling to automate cyber defense operations. The consultant will translate complex security workflows into AI systems, integrate them with enterprise platforms, and ensure their operational readiness and security. The role requires experience with AI platforms, Generative AI agents, Python, and integrating distributed systems, with a preference for cybersecurity operations and AI evaluation frameworks. | Agent | 8 |
| Research Engineer, Robotics Applications, DeepMind Research Engineer at Google DeepMind focused on applying AI, specifically LLMs/VLMs, to robotics applications. The role involves benchmarking models on robot hardware, building demo tasks, and serving as a technical point-of-contact for testers, feeding insights back to the research team. This position bridges the gap between core AI research and real-world product deployment in robotics. | ShipAgent | 8 |
| Google Cloud Consulting Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is hiring a Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with customers to build and deploy bespoke agentic AI solutions, bridging the gap between frontier AI products and production realities. Responsibilities include developing agentic workflows, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires software development experience, cloud platform expertise, and experience with RAG and vector databases, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 8 |
| Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles like data readiness, integration complexities, and state-management challenges to achieve enterprise-grade AI maturity. | Agent | 8 |
| Senior Software Engineer, AI/ML, Creative Intelligence Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems within the advertising product space. | ShipPost-train | 8 |
| Senior Software Engineer, Agentic Ecosystem Platform Senior Software Engineer to drive technical direction and architecture for an Agentic Ecosystem Platform. This role involves designing, developing, and scaling infrastructure for agentic operations, integrating with third-party and first-party systems. The engineer will build reliable platforms powering next-generation capabilities across major Google products, partnering with cross-functional teams to define strategy and best practices. Responsibilities include developing implementations on generalist models, designing tool orchestration, leading technical delivery of integrations, and mentoring engineers. | Agent | 8 |
