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 |
|---|---|---|
| Forward Deployed Engineer II, GenAI, Google Cloud Forward Deployed Engineer II, GenAI, Google Cloud - This role involves building and deploying bespoke agentic AI solutions for enterprise customers, managing integration complexities, data readiness, and state management. The engineer will act as a builder-consultant, transitioning prototypes to production, architecting connective tissue between AI products and customer infrastructure, and building evaluation and observability pipelines. The role also involves identifying field patterns to inform product roadmaps and mentoring talent. | AgentServe | 9 |
| Forward Deployed Engineer, Core, DevAI Google is seeking a Forward Deployed Engineer for the DevAI team to accelerate its transformation into an AI-native company. This role involves partnering with Product Areas to build and elevate AI capabilities, focusing on the technical foundation of Google's flagship products. The engineer will lead the design and implementation of autonomous, agentic workflows, deliver production-grade agent components, and re-engineer isolated solutions into scalable capabilities. |
| AgentServe |
| 9 |
| Research Scientist, Algo Spark Research Scientist role focused on developing new algorithms in AI for mathematics and theoretical research, with a focus on privacy and machine learning, and translating these insights into Google products. The role involves publishing research in top conferences. | Pretrain | 9 |
| Forward Deployed Developer Manager, Gen AI, Google Cloud This role involves leading a team of developers to build and deploy agentic AI solutions within customer environments on Google Cloud. The focus is on bridging the gap between AI products and production realities, solving integration and data issues, and acting as a feedback loop for product development. The role requires coding, debugging, and shipping solutions, with responsibilities including building evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Senior Research Engineer, On-Device Inference, Robotics, DeepMind Senior Research Engineer focused on optimizing Gemini Robotics models for low-latency on-device inference, driving alignment between model architectures and edge device constraints, and influencing research and engineering teams for robust solutions. Requires deep knowledge of inference techniques across GPU, TPU, and CPU architectures. | ServeAgent | 9 |
| Technical Program Manager, Agents Innovation, DeepMind Technical Program Manager at Google DeepMind focused on driving the execution of agentic capabilities from research to production, specifically for Gemini and other Google products. This role involves managing the lifecycle of agentic innovations, building pathways between research and product teams, and understanding the AI model development lifecycle. | AgentPost-train | 9 |
| Research Scientist, Visual Data and Generative Research Research Scientist focused on visual data and generative models, specifically for creating high-quality synthetic training data for foundation models. This involves designing data acquisition strategies, optimizing hardware, implementing fine-tuning methods, developing automated labeling pipelines, and creating evaluation datasets for visual quality issues. | DataPost-train | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building safety mitigations for frontier AI models, defending against misuse in domains like CBRNE and Harmful Manipulation. Responsibilities include building classifiers, data pipelines, monitoring systems, and evaluating/securing agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness research. | AgentEval Gate | 9 |
| Research Scientist, Robotics, Embodied AI, DeepMind Research Scientist role focused on developing Vision Language Action (VLA) models and agentic systems for physical robots, enabling them to perceive, plan, think, use tools, and act in real-world environments. The role involves training embodied reasoning VLMs, working with simulators and real robots, and advancing areas like general-purpose robotics, human-robot interaction, and continual learning. | AgentPost-train | 9 |
| Senior Forward Deployed Developer, Applied AI Senior Forward Deployed Developer focused on applying Google's Generative AI, specifically building and deploying AI agents on the Customer Engagement Suite platform for enterprise clients. The role involves direct customer interaction, co-development, debugging, and optimizing AI solutions, acting as a bridge between product teams and customer needs to accelerate customer success and influence product strategy. | Agent | 9 |
| Visiting Faculty Researcher, AI Personalization Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization. | Post-trainAgent | 9 |
| Research Engineer, Gemini Latent Thinking, DeepMind Research Engineer at Google DeepMind focused on architecting, scaling, and landing latent thinking in Large Language Models (LLMs) and reasoning. The role involves developing novel algorithms, formulating research hypotheses, designing and implementing ML experiments, and partnering with teams to integrate scientific breakthroughs into frontier models. Experience in LLM training (pre-training or post-training) and publishing research is preferred. | PretrainPost-train | 9 |
| Senior Machine Learning Engineer, GenAI, Google Cloud Senior Machine Learning Engineer focused on building and optimizing generative AI solutions for Google Cloud customers. This role involves working across the full stack of AI, from models and APIs to agent building blocks and specialized applications, with a strong emphasis on production environments and technical leadership. | AgentServe | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves creating novel evaluations, red-teaming, implementing robust defenses, and monitoring risks, with a strong emphasis on agentic AI systems and adversarial robustness. | AgentEval Gate | 9 |
| Senior Product Manager, Gemini Agentic Capabilities, DeepMind Product Manager for Gemini's agentic capabilities, focusing on defining excellence, scaling evaluation frameworks, and driving research. The role involves bridging model research and ecosystem needs through data-driven methods, synthetic data generation, and loss analysis, with a specific emphasis on tool use and agentic evaluations. | AgentEval Gate | 9 |
| Power and Performance Architect, TPU This role focuses on defining and driving the power architecture roadmap for Google's next-generation TPUs, which are AI/ML hardware accelerators. The architect will bridge the gap between high-level concepts and silicon execution, optimizing for performance-per-watt for ML workloads and ensuring successful implementation of power management features. This involves collaboration with various teams, including SOC implementation, hardware/software validation, and data center operations, to align silicon capabilities with system-level power constraints. The role requires deep expertise in computer chip design, performance analysis, and power analysis, with a strong emphasis on machine learning accelerator architecture and workload characterization for power optimization. | Serve | 9 |
| Staff Software Engineer, Gemini App Personalization, DeepMind Staff Software Engineer on the Gemini App Personalization team, building next-generation personal AI assistants using Gemini models. Responsibilities include developing personalization capabilities, model post-training, evaluation, data handling, serving, and production deployment. Also involves creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. | AgentPost-train | 9 |
| Software Engineer, AI System Hacker, GenAI, DeepMind Software Engineer role at Google DeepMind focused on building and testing AI agents. Responsibilities include developing agent testing systems, creating test problems in simulators, visualizing results, building leaderboards, and testing algorithms on robots. The role involves working on both frontend and backend infrastructure for AI tools, improving LLMs, and integrating AI into Google products. Requires strong software engineering skills and experience with Generative AI Agents. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI (GenMedia), Google Cloud Forward Deployed Engineer for Generative AI in the Media & Entertainment sector on Google Cloud. This role involves building, debugging, and shipping bespoke agentic solutions directly within customer environments, bridging the gap between frontier AI products and production reality. Responsibilities include developing complex AI applications, architecting integrations, building evaluation pipelines, and providing feedback to product teams. Requires experience in production-grade AI solutions, cloud platforms, data pipelines with vector databases and RAG, and leading technical discovery. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI Go-To-Market organization, focusing on building and deploying end-to-end GenAI solutions for customers. This role involves rapid prototyping, integrating AI/ML with the broader cloud stack, and translating customer needs into scalable assets. | AgentServe | 9 |
| Senior Software Engineering Manager, Emergent AI Infrastructure Senior Software Engineering Manager for Emergent AI Infrastructure, leading teams to build next-generation on-prem AI infrastructure for frontier models and AI solutions. Role involves technical leadership, team management, strategic guidance, and cross-functional collaboration across global sites to deliver high-impact AI infrastructure products. | Serve | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Forward Deployed Engineer for Google Cloud, focused on building and deploying bespoke agentic AI solutions within customer environments. This role involves managing the full lifecycle from prototyping to production, including integration, data readiness, state management, and evaluation. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking an AI Forward Deployed Engineer to act as an embedded builder, bridging frontier AI products with production-grade reality for customers. This role involves coding, debugging, and shipping bespoke agentic solutions within customer environments, managing integration complexities, data readiness, and state-management challenges. The engineer will also deploy complex AI systems, provide feedback to the product roadmap, and co-build with customer teams to instill best practices. | AgentEval Gate | 9 |
| Research Scientist, Language, DeepMind Research Scientist at Google DeepMind focusing on groundbreaking research in language technology, particularly multilingual and multicultural ability. The role involves solving new problems, improving existing models, developing technical solutions, and communicating research findings. Requires a PhD in NLP/ML or equivalent, Python, neural network training experience, and publication submissions. Preferred experience includes LLM pretraining, post-training, inference with multilingual data, and novel evaluations. | PretrainPost-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, 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 |
| Staff Research Engineer, Gemini Audio, DeepMind Staff Research Engineer focused on Gemini Audio at DeepMind, developing multimodal models (audio/audio-visual) and driving end-to-end development from pretraining to production systems, utilizing RL frameworks for training infrastructure and model training. | Post-trainServe | 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 |
| Research Software Engineer, Google Research Research Software Engineer at Google Research focused on pioneering AI research in Singapore, specifically on developing performant, efficient, and capable generative AI models. The role involves abstracting problems, designing solutions, prototyping, profiling, benchmarking, and collaborating with global research and product teams. | Pretrain | 9 |
| Audio Algorithm Architect, Applied Research Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences. | Post-train | 9 |
| Senior Staff Research Engineer, DeepMind Senior Staff Research Engineer at Google DeepMind focused on Agent Evals and Quality for GenAI model improvement and product development. The role involves developing, evaluating, and optimizing LLM-based agents for complex, multi-step tasks. Responsibilities include constructing quantitative benchmarks and automated evaluation frameworks (e.g., LLM-as-a-judge) to measure agent capabilities in reasoning, planning, and tool use, as well as creating and optimizing data mixes from user feedback for training and fine-tuning agents. The role also requires analyzing agent behavior to identify failure modes and performance bottlenecks. | Eval GateAgent | 9 |
| Staff AI Research Engineer, Large User Models Staff AI Research Engineer focused on architecting the strategy and roadmap for foundation recommender model pre-training. This role involves owning the research agenda, defining and prioritizing experiments for model quality under compute constraints, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks. | PretrainPost-train | 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 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud AI Staff Software Engineer at Google Cloud AI Research focused on designing, developing, and deploying GenAI solutions. This role involves leading the design of GenAI solutions, optimizing ML infrastructure, and guiding the development of data preparation and model optimization strategies. Requires significant experience in software development, ML infrastructure optimization, and state-of-the-art GenAI techniques. | ServePost-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, 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 |
| Senior Staff Software Engineer, Machine Learning, ML Training Senior Staff Software Engineer focused on building and delivering ML frameworks for training large language models (LLMs) and stable diffusion models for Google Cloud customers. The role involves designing and implementing AI frameworks software for various ML workloads, identifying and resolving software and performance issues, and collaborating with cross-functional teams. Requires extensive experience in software development, ML design, ML infrastructure, and leading technical projects, with a focus on training ML models at scale. | DataServe | 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 |
| Staff Software Engineer, AI/ML Performance Staff Software Engineer focused on optimizing AI/ML training and serving workloads on TPUs. This role involves identifying performance bottlenecks, driving optimizations through custom kernels, compiler/runtime improvements, and collaborating with partner teams to achieve state-of-the-art performance for foundation model builders and hyperscalers. The position also involves algorithmic innovation and co-designing TPU-friendly models. | ServePost-train | 9 |
| Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI Senior Software Engineering Manager for Google Cloud AI, focusing on GenAI. This role involves leading teams of engineers, setting technical vision and roadmap, overseeing system designs, and driving the strategy for large-scale ML infrastructure optimization and state-of-the-art GenAI solutions. The team addresses AI challenges for various industries, aiming to push AI's state-of-the-art and collaborate with product teams. | ShipServe | 9 |
| Senior Research Scientist, Google Cloud AI Research Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning. | Pretrain | 9 |
| Staff Research Scientist, Google Ads GenAI Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings. | Post-trainAgent | 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 |