Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, On-Device Hybrid Multimodal AI Staff Software Engineer role focused on developing and optimizing on-device and hybrid multimodal AI models (LLMs, agents, vision, audio) for XR devices. Responsibilities include leading development, creating evaluation plans, implementing innovations in agent architectures and multimodality, rapid prototyping, and collaborating with research and product teams. Requires strong software development experience with C++, Python, and Generative AI, along with ML/AI experience. | AgentServe | 9 |
| Research Engineer, Frontier Safety Loss of Control, DeepMind Research Engineer focused on developing monitoring and control systems for potentially misaligned AI agents to mitigate risks of extreme harms. This involves designing, building, and testing monitors, implementing response policies, and conducting adversarial testing. The role aims to prepare for the internal use of potentially misaligned AI systems by building defense-in-depth against AI that might persistently pursue unintended goals. |
| AgentEval Gate |
| 9 |
| Staff Software Developer, AI/ML, Safety and Security Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications. | AgentServe | 9 |
| Forward Deployed Engineer, Gen AI, Google Cloud Forward Deployed Engineer for Google Cloud's Gen AI offerings, focusing on integrating and productionizing AI systems (especially agentic workflows) for enterprise customers. This role involves managing integration complexities, data readiness, and state management, acting as a bridge between frontier AI and production reality, and providing feedback to the product roadmap. | AgentServe | 9 |
| Staff Data Scientist, GenAI and Agentic SOC Staff Data Scientist role focused on Generative AI and Agentic Security Operations Center (SOC). The role involves driving ML/AI initiatives, building and scaling infrastructure for developing, fine-tuning, and deploying autonomous security agents, and creating testing/evaluation methodologies for LLMs and agentic workflows in security environments. Collaboration with cross-functional teams and mentoring are also key aspects. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on bridging frontier AI products with production-grade reality for enterprise customers. Responsibilities include leading development of agentic workflows, architecting integrations, building evaluation and observability pipelines, and acting as a feedback loop for product roadmap. Requires experience with GenAI, foundation models, RAG, and cloud platforms, with a focus on deploying AI systems into complex customer environments. | AgentServe | 9 |
| Staff Forward Deployed Developer, GenAI, Google Cloud This role involves leading the development and deployment of bespoke agentic AI solutions within customer environments on Google Cloud. The developer will bridge the gap between frontier AI products and production reality, focusing on integration, data readiness, and state management. Responsibilities include coding agentic workflows, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and developing AI systems on cloud platforms. | AgentServe | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, and acting as a product catalyst by identifying field patterns and friction points. The role requires shipping production-grade AI-driven solutions, designing and building AI systems on cloud platforms, and leading technical discovery sessions. | AgentServe | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud This role involves leading the development and deployment of AI applications, specifically agentic solutions, within customer environments on Google Cloud. The engineer will bridge the gap between AI products and production systems, focusing on integration, data readiness, and state management. Responsibilities include architecting and coding connective tissue, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and Python, with a preference for experience in multi-agent systems and LLM-native metrics. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. It focuses on integrating Google's AI products with customer infrastructure, developing evaluation pipelines, and providing feedback to product teams. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves transitioning prototypes to production, integrating AI products with customer infrastructure, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in building production-grade AI solutions, applied AI with a focus on systems around pretrained models (prompt engineering, fine-tuning, RAG, tool orchestration), and cloud platform deployment. | AgentServe | 9 |
| Staff Software Engineer, Generative AI, Core ML Staff Software Engineer role focused on architecting and implementing Agentic Reinforcement Learning systems. This involves developing novel RL recipes, reward modeling, and synthetic data for reasoning, planning, and tool use in large-scale AI products. The role bridges frontier research with production, focusing on the "GenAI Engineering Gap" to create self-improving agentic systems. | AgentPost-train | 9 |
| Staff Software Developer, Generative AI, Applied AI, Research Staff Software Developer role focused on developing and deploying agentic AI solutions for enterprise use cases. The role involves inventing, designing, and deploying systems with a focus on algorithmic innovations for sophisticated agentic AI, including multi-agent systems, reinforcement learning, multimodal reasoning, and enhancing LLM reliability and tool use. The position also involves managing and iterating on new platform capabilities and driving technical strategy for a conversational AI platform. | AgentPost-train | 9 |
| Staff AI Research Scientist, Applied AI, Google Cloud Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI team. The role involves applying AI/ML to conversational problems, working with Gemini Enterprise products, and contributing to the wider research community through publications. Responsibilities include owning AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. | AgentPost-train | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, acting as a product catalyst, and driving regional leadership. Requires 8 years of experience shipping production-grade AI-driven solutions, Python, and cloud AI architecture. | AgentServe | 9 |
| Forward Deployed Engineer II, GenAI, Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves coding, debugging, and co-building with customer teams, acting as a feedback loop to product roadmaps. | AgentServe | 9 |
| Forward Deployed Engineer III, Generative AI (French, German) Google Cloud is seeking a Forward Deployed Engineer III specializing in Generative AI to lead complex AI application development, transitioning prototypes to production-grade agentic workflows. The role involves architecting the integration between Google's AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying improvements for Google's AI stack. Fluency in French and German is required. | AgentEval Gate | 8 |
| Senior Research Scientist, App and Ecosystem Trust Research Scientist role focused on Android security and AI agent safety, developing and publishing novel research, designing neuro-symbolic and agent-powered systems for threat detection, and using machine learning for code analysis to combat malware and evasion techniques within the Android ecosystem. | Agent | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Thai) Forward Deployed Engineer for GenAI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing challenges in data readiness and state management. It also includes building evaluation pipelines and observability frameworks, and providing feedback to product teams. | AgentEval Gate | 8 |
| AI Application Engineer This role focuses on building AI agents and advanced analytics pipelines to optimize data center hardware and processes, turning complex datasets into actionable insights. The engineer will lead foundational development for these agents, including data pipelines and API creation, and apply AI/ML techniques to solve operational challenges and predict anomalies. The role also involves partnering with stakeholders to drive automation and innovation. | AgentData | 8 |
| 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 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 |
| Senior Developer Relations Engineer, AI Foundation and Security This role focuses on building and demonstrating production-grade AI applications and agentic workflows, integrating AI into secure product workflows, and showcasing deployment at scale. The role also involves creating engaging content and demos to drive developer adoption of Google Cloud and Google AI. The primary focus is on enabling developers to build secure AI workloads in production. | AgentServe | 8 |
| Senior Software Engineer, Gen AI GCP Data Analytics Senior Software Engineer role focused on building data agents for Google Cloud's Gen AI Data Analytics platform. The role involves enriching customer knowledge, automating data preparation, and providing agent harnesses, leveraging BigQuery and GenAI techniques like LLMs and Agents. Requires strong software development experience, including large-scale infrastructure and GenAI concepts. | Agent | 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 |
| 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 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 |
| 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 |
| Senior Staff Model UX Designer, GeminiApp, DeepMind Senior Staff Model UX Designer for Gemini App at DeepMind, focusing on shaping conversational AI experiences from passive responders to proactive partners. The role involves collaborating with PMs, engineers, and researchers to build end-to-end product experiences, guide prompt engineering, initiate qualitative assessments of model performance, and craft multimodal solutions. Requires deep understanding of model capabilities and the eval process, with a focus on user engagement and product innovation in generative AI. | Agent | 8 |
| Staff Software Engineer, Generative AI Staff Software Engineer focused on bringing the performance of LiteRT-LM to agentic systems, building infrastructure for local LLMs, and enabling their use in first-party and third-party products. This involves full-stack development, API servers, agent harnesses, integration tests, and evals. | AgentServe | 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 Software Engineer, Generative AI, Core ML This role focuses on engineering and productionizing AI agents, building horizontal infrastructure for their autonomous learning and improvement, and scaling optimization tools to address the 'GenAI engineering gap'. The goal is to transform agent development into an engineering discipline for high-quality, reliable, and efficient agents. | AgentServe | 8 |
| Forward Deployed Engineer, Generative AI, GECX, Google Cloud Forward Deployed Engineer for Generative AI on Google Cloud, focusing on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers. Responsibilities include end-to-end engineering, building Eval pipelines, and optimizing AI systems for scalability and security. | AgentEval Gate | 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 |
| Surfaces Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for Gemini's mobile assistant, specifically for multimodal and voice interactions. The designer will work with advanced AI models to refine responses, optimize context switching, and ensure intuitive and reliable user interactions. Responsibilities include defining conversational structures, implementing system instructions, and conducting qualitative assessments of model performance. The role requires experience in conversational AI/LLMs and designing for multimodal and voice entry points. | Agent | 8 |
| Senior Product Manager, Gemini Cloud Assist Lead product strategy for an enterprise Agent Platform and Agent Registry, focusing on secure discovery, management, and auditing of AI agents, tools, and skills. The role involves building foundational platform components for memory, tool orchestration, and governance frameworks like agent identity, secure gateways, and guardrails to enable enterprises to securely build, deploy, and govern autonomous AI agents at scale. | Agent | 8 |
| Director, Product Management, SecOps Detections, Google Cloud Security The Director of Product Management will lead the product vision for Google SecOps detection capabilities, focusing on AI/ML integration to create an autonomous SOC. This role involves collaborating with AI researchers and security engineers to develop dynamic detection models, design automated workflows using Generative AI, and integrate advanced ML capabilities into massive telemetry streams for enterprise customers. | AgentPost-train | 8 |
| Director, Product Management, SecOps Responses, Google Cloud Security Product Management Director for an AI-powered security platform, focusing on autonomous threat remediation and Generative AI-driven response strategies within Google Cloud Security. The role involves leading product vision, harnessing LLMs for incident synthesis and remediation plan generation, and building intelligent orchestration workflows for proactive threat containment. | Agent | 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 |
| Senior Software Engineer, AI/ML GenAI, Core Senior Software Engineer focused on designing and implementing GenAI solutions, leveraging ML infrastructure, and evaluating tradeoffs between different techniques. The role requires experience with Python/C++, software design, ML infrastructure, and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. | Agent | 8 |
| Senior Technical Program Manager, Customer Engagement, Applied AI Senior Technical Program Manager for Google Cloud Applied AI Solutions Consulting team, focusing on enterprise AI deployments. The role involves leading the delivery of production-ready agentic AI solutions for customers, managing cross-functional teams, defining agent behaviors, and ensuring technical roadmaps align with business goals. This includes overseeing the implementation of evaluation pipelines and monitoring agent health using specialized dashboards. | Agent | 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 |