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 |
|---|---|---|
| Senior Staff Software Engineer, Cognitive Architecture, Special Projects Senior Staff Software Engineer role focused on mechanistic interpretability research for AI safety and alignment. The role involves designing and implementing cognitive architecture primitives for future agentic AI systems, guiding their development using agentic programming tools, and serving as a technical leader. Experience in speech/audio, reinforcement learning, ML infrastructure, or other ML fields is required, along with ML design and infrastructure experience. | AgentPost-train | 10 |
| Staff Software Engineer, BigQuery Agentic AI Staff Software Engineer at Google BigQuery focused on building agentic AI solutions for data processing. The role involves designing and developing systems that integrate LLMs with BigQuery, architecting agents for reasoning over large datasets, optimizing pipelines, and contributing to agentic frameworks with tool use and evaluation. This position is at the intersection of distributed systems and generative AI. |
| Agent |
| 9 |
| Forward Deployed Engineer II, GCC Forward Deployed Engineer II, GCC role focused on embedding with customers to build, deploy, and productionize bespoke agentic AI solutions using Google Cloud's AI portfolio. Responsibilities include architecting integrations, developing agentic workflows, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in software development, ML, NLP, generative AI agents, and DevOps, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, GCC (French, German) Google Cloud is seeking a Forward Deployed Engineer III to build and deploy agentic AI solutions for enterprise customers. This role involves bridging the gap between frontier AI products and production-grade reality, architecting and coding connective tissue, and building evaluation pipelines and observability frameworks. The engineer will also act as a product catalyst by identifying friction points and converting them into product feature requests. The role requires experience in designing and deploying NLP models and Generative AI agents, implementing MLOps pipelines, and building generative AI solutions in a customer-facing capacity. | AgentEval Gate | 9 |
| Senior Software Machine Learning Engineer, DeepMind Senior Software Machine Learning Engineer at Google DeepMind focused on building and testing advanced AI agents. Responsibilities include creating agentic workflows, engineering runtime infrastructure for LLMs, partnering with researchers, and designing evaluation frameworks. The role involves working with Gemini models, testing on robots, and ensuring production reliability. | Agent | 9 |
| Forward Deployed Engineer III, Applied AI, Google Cloud Forward Deployed Engineer III, Applied AI, Google Cloud. Role focuses on transforming conversational AI prototypes into production-ready, end-to-end engineered solutions for customers. This involves leading technical delivery for Conversational AI pilots, architecting and coding agentic workflows, building evaluation pipelines and observability frameworks, and ensuring customer success with Google's AI portfolio and Vertex AI platform. Requires strong software engineering, MLOps, and cloud infrastructure skills, with an emphasis on multi-agent systems, RAG, and optimizing inference. | AgentServe | 9 |
| Software Engineer, Applied AI Software Engineer, Applied AI at Google, focusing on deploying and maintaining production-grade AI agents for Gemini Enterprise. Responsibilities include prompt engineering, fine-tuning, CI/CD, and monitoring agent performance. Requires experience with generative AI agents, ML infrastructure, and potentially speech/audio or reinforcement learning. | AgentPost-train | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud is an embedded builder responsible for developing and deploying production-grade agentic AI solutions within partner and customer environments. This role bridges the gap between AI prototypes and reality by coding, debugging, and shipping bespoke solutions, addressing integration, data readiness, and state management challenges. The FDE also builds evaluation pipelines and observability frameworks, acts as a feedback loop to Google's product roadmap, and helps partners build their own agentic delivery capabilities, focusing on ROI and customer success. | AgentEval Gate | 9 |
| Staff Research Engineer, Applied AI, DeepMind Research Engineer to lead development and deployment of novel applications using Google's generative AI models. Focus on rapidly developing new features, collaborating with partner teams, and delivering solutions to maximize impact for Google and its customers. Role involves translating AI research into real-world products, demonstrating model capabilities, and scaling products from concept to production in fast-paced, early-stage environments. | AgentPost-train | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud (English, Japanese) This role involves deploying and customizing Generative AI (GenAI) solutions for enterprise customers on Google Cloud. The engineer will build agentic workflows, integrate AI products with customer infrastructure, develop evaluation and observability pipelines, and provide feedback to product teams. The role requires strong software development skills, experience with AI systems, RAG, vector databases, and the ability to work with both technical and non-technical stakeholders in Japanese and English. | AgentEval Gate | 9 |
| Senior Software Engineer, Acceleration Platform Senior Software Engineer role focused on architecting and building AI-native agentic systems to automate developer tasks. The role involves leading the design of multi-agent networks, integrating LLM orchestration and RAG pipelines, establishing AI quality and safety standards, and developing evaluation frameworks and debugging tools. It emphasizes technical leadership, mentorship, and driving AI engineering excellence in complex, ambiguous initiatives. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Consulting Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management issues. Responsibilities include leading AI application development, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying friction points for product feedback, and co-building with customer teams. | AgentEval Gate | 9 |
| Research Software Engineer, Multimodal AI This role focuses on developing and enhancing AI agents, particularly in the multimodal domain (audio, vision), for XR devices. The engineer will work on LLMs, agents, and their integration into next-generation computing products, involving algorithm development, production-quality coding, evaluation planning, and shipping AI innovations. The role requires experience in software development, generative AI, ML frameworks, and multimodal learning. | AgentPost-train | 9 |
| 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) for XR devices, involving research, prototyping, production code (C++, Python), and shipping AI features. Requires experience in AI/ML, Generative AI, and Multimodal ML. | AgentServe | 9 |
| Staff Software Developer, AI/ML, Safety and Security This role involves leading AI/ML projects focused on safety and security within Google Workspace. The primary responsibilities include building LLM-based safety and security auto-raters, developing classifiers for prompt injection attacks, and implementing live traffic observability solutions. The role also requires collaboration with Google DeepMind on research-based defense techniques and with various Workspace product teams to protect AI features. The ultimate goal is to ensure the safety and security of AI features across Google's productivity tools. | AgentServe | 9 |
| Forward Deployed Engineer V, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, addressing integration, data readiness, and state-management challenges. Responsibilities include developing complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product feedback, and co-building with pre-sales and product teams. The role requires strong software development experience, experience with production-grade AI solutions, and building data pipelines using vector databases and RAG. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Staff Software Engineer, Quality, Google Cloud, Applied AI Staff Software Engineer focused on building and improving AI agents, specifically a meta-layer of agents that build, test, and refine other agents. The role involves developing multi-modal customer support agents with complex reasoning capabilities, embedding Gemini and Vertex AI into client-facing infrastructure, and establishing engineering benchmarks for automated optimization and AI quality assurance in production systems. | AgentEval Gate | 9 |
| Staff Software Engineer, AI Infrastructure, Google Cloud, Applied AI Staff Software Engineer focused on building and scaling high-performance, distributed infrastructure for agentic AI workflows in Google Cloud. The role involves transitioning experimental models into robust production services, ensuring low-latency and reliability for multi-agent systems, and iterating on customer needs for enterprise use cases. | AgentServe | 9 |
| Senior Software Engineer, Google Cloud, Applied AI Senior Software Engineer at Google Cloud focused on developing and deploying agentic AI solutions for enterprise use cases, leveraging Gemini Enterprise. The role involves algorithmic innovations for multi-agent systems, reinforcement learning, multimodal reasoning, and improving LLM reliability and tool use. | Agent | 9 |
| Senior Software Engineer Senior Software Engineer at Google DeepMind focused on building and improving agentic AI features using Gemini models. The role involves developing quantitative evaluations of agent performance, triaging production issues, and contributing to the technical vision and roadmap. Requires a PhD in a related field and experience in software development, algorithm design, systems architecture, Python for ML, and software testing. | AgentEval Gate | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying production-grade agentic AI solutions with strategic partners on Google Cloud. It focuses on integrating AI into customer environments, addressing production blockers, and providing feedback to Google's product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and mentor partner teams. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, GenAI Google Cloud GenAI Forward Deployed Engineer (FDE) role focused on building and deploying production-grade agentic AI solutions within customer environments. The role involves coding, debugging, integrating AI products with customer infrastructure, and building evaluation/observability pipelines. It also acts as a feedback loop to Google's product roadmap. | AgentServe | 9 |
| Partner Forward Deployed Engineer IV, Generative AI, Google Cloud This role involves building and deploying agentic AI solutions for enterprise partners on Google Cloud. The engineer will bridge the gap between AI prototypes and production, focusing on integration, data readiness, and state management. Responsibilities include leading development, building evaluation pipelines, identifying patterns for product feedback, and instilling best practices. The role requires experience with AI system architecture, cloud platforms, data pipelines (vector databases, RAG), and taking AI solutions from conception to launch. | AgentEval Gate | 9 |
| Software Engineer III, Multimodal Agentic AI, XR This role focuses on designing, developing, and deploying multimodal agentic AI solutions for smart glasses, leveraging Gemini Live and Astra. It involves enhancing multimodal tools, defining strategies for data, evaluation, and post-tuning of Gemini models, and optimizing agent architecture for inference cost. The role emphasizes AI quality for production systems, including evaluation frameworks and model improvements, with a focus on multimodal conversational quality, tool use, and goal-oriented reasoning. | AgentPost-train | 9 |
| Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, hiring, identifying skill gaps, and collaborating with product/engineering. Focus on enterprise-grade AI maturity, leveraging Google Cloud's AI portfolio and Vertex AI platform. | AgentServe | 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) Google Cloud is seeking a Partner Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with strategic partners to build, debug, and ship bespoke, scalable agentic AI solutions directly within customer environments. The FDE will address production blockers, integration complexities, data readiness, and state-management challenges, aiming to bring AI to enterprise-grade maturity. Responsibilities include developing complex AI applications, building evaluation pipelines and observability frameworks, identifying patterns for product feature requests, and helping partners build their own agentic delivery capabilities. The role requires strong technical skills in cloud computing, AI systems architecture, data pipelines (vector databases, RAG), and communication in both Japanese and English. | AgentEval Gate | 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud Forward Deployed Engineer (FDE) at Google Cloud, embedding with customers to build and ship bespoke agentic AI solutions. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Focuses on production-grade agentic workflows, evaluation pipelines, and observability. | AgentServe | 9 |
| 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 for a production-ready local LLM solution. | AgentServe | 9 |
| 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 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing data readiness and state management challenges. The FDE will also build evaluation pipelines and observability frameworks, and provide feedback to Google's product roadmap. The role requires strong software development skills, experience with AI systems on cloud platforms, and familiarity with RAG and vector databases. | AgentServe | 9 |
| Senior Staff Software Engineer, AI/ML, Applied AI Senior Staff Software Engineer role focused on building the core logic for multimodal customer support agents that execute complex reasoning, developing automated systems for agent refinement, and architecting pathways to embed AI intelligence into client-facing cloud infrastructure. The role also involves establishing engineering benchmarks for optimization and partnering with clients to deploy customizable agent solutions. | Agent | 9 |
| Forward Deployed Developer III, Generative AI, Google Cloud Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management challenges. It involves coding, debugging, and deploying complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying product feature requests based on field insights. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on taking frontier AI products and making them production-grade for enterprise customers. This involves solving integration complexities, data readiness, and state management for agentic workflows, and acting as a feedback loop to product teams. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Korean, English) This role focuses on deploying and building generative AI solutions, specifically agentic systems, within customer environments on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, coding, debugging, and shipping bespoke solutions. Responsibilities include architecting integration, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, vector databases, and ideally multi-agent systems. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will integrate AI products with customer infrastructure, develop evaluation pipelines, and act as a feedback loop for product development. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. It acts as a bridge between frontier AI and production reality, with a feedback loop to product roadmaps. | AgentEval Gate | 9 |
| Staff Forward Deployed Developer, Generative AI, Google Cloud Staff Forward Deployed Developer, Generative AI, Google Cloud in Toronto, ON, Canada. This role involves embedding as a developer to build and ship bespoke agentic AI solutions within customer environments, bridging frontier AI products with production realities. Responsibilities include coding, debugging, addressing integration and data challenges, building evaluation pipelines, and providing feedback to product roadmaps. The role requires experience with cloud computing, customer-facing technical roles, data pipelines, vector databases, RAG, and architecting AI systems on cloud platforms. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Forward Deployed Development Manager, Generative AI, Google Cloud Lead a team of AI/ML developers to deploy bespoke agentic solutions for enterprise customers on Google Cloud, providing technical mentorship, resolving production obstacles, and driving AI adoption. Responsibilities include establishing best practices, technical hiring, identifying skill gaps, and collaborating with product teams. | Agent | 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud (English, Portuguese) This role involves building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will act as an embedded builder, addressing integration, data, and state management challenges, and providing feedback to product teams. Responsibilities include developing agentic workflows, architecting integrations, building evaluation pipelines, and identifying product improvements. | AgentServe | 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (Spanish, English) Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. The FDE acts as a bridge between frontier AI and production reality, providing deployment expertise and feeding back field insights to Google's product roadmap. Requires strong software development skills, experience with AI systems, RAG, vector databases, and fluency in Spanish and English. | AgentEval Gate | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying agentic AI solutions with strategic partners on Google Cloud. Responsibilities include coding, debugging, and shipping agentic workflows, building evaluation pipelines and observability frameworks, and identifying patterns to inform product roadmaps. The role requires experience in architecting AI systems, building data pipelines with vector databases and RAG, and taking AI solutions from conception to launch. | AgentEval Gate | 9 |
| Partner Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team who acts as an embedded builder, bridging the gap between frontier AI products and production-grade reality within partners. The role involves coding, debugging, and jointly shipping bespoke and scalable agentic solutions directly with partners, addressing integration complexities, data readiness, and state-management issues. The role also involves providing white-glove deployment of complex AI systems and acting as a feedback loop for Google's product roadmap. The manager will also build evaluation pipelines and observability frameworks, and co-build with partner FDE teams to instill best practices. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud 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 developing complex AI applications, architecting integrations, building evaluation pipelines, and identifying product feedback. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, Gen AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer III, Gen AI, to build and deploy bespoke agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products, addressing production blockers, and providing feedback to product roadmaps. Responsibilities include developing AI applications, architecting integrations, building evaluation pipelines and observability frameworks, and co-building with customer teams. | AgentEval Gate | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy bespoke agentic AI solutions for enterprise customers. This role involves coding, debugging, and integrating AI products into customer environments, addressing integration, data readiness, and state-management challenges. The FDE will also act as a feedback loop to Google Cloud's product roadmap and co-build with customer engineering teams to instill best practices. | AgentServe | 9 |
| Forward Deployed Engineer I, GenAI, Google Cloud This role focuses on building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will bridge the gap between frontier AI products and customer environments, managing integration complexities, data readiness, and state management. Responsibilities include leading AI application development, architecting integrations, building evaluation and observability pipelines, identifying field patterns for product feedback, and mentoring teams. Requires experience in shipping production AI, cloud platforms, and data pipelines with RAG/vector databases. | AgentServe | 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will integrate Google's AI products with customer infrastructure, address integration complexities, data readiness, and state management issues. They will also build evaluation pipelines and observability frameworks, and act as a feedback loop to product teams. The role requires strong software development skills, experience with cloud platforms, and building production-grade AI solutions, including RAG and multi-agent systems. | AgentEval Gate | 9 |
| Forward Deployed Engineer II, Generative AI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will code, debug, and integrate AI products into customer environments, focusing on agentic workflows, data readiness, and state management. Responsibilities include developing AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, and building AI systems using RAG and vector databases, with a preference for multi-agent systems experience. | AgentServe | 9 |
| Senior Software Engineer, Applied AI, Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent for commerce, leveraging foundational AI models like Gemini and Vertex AI. The role involves defining quality metrics, implementing evaluation pipelines, testing agentic actions, and ensuring seamless integration with other AI platforms, with a focus on 0-to-1 product development. | AgentEval Gate | 9 |
| Senior Software Engineer, Applied AI Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent, embedding intelligence into retail infrastructure. This role involves defining quality metrics, designing evaluation pipelines, collaborating with model builders, and ensuring seamless integration with other AI platforms, focusing on a 0-to-1 product launch. | AgentEval Gate | 9 |