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 |
|---|---|---|
| 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 |
| 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 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 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 |
| 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 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Cloud Applications AI Senior Staff Software Engineer role focused on GenAI solutions within Google Cloud Applications AI. The role involves designing, developing, and deploying large-scale AI/ML solutions, leading technical strategy, and overseeing the implementation of state-of-the-art GenAI, with a focus on bringing AI innovations to various industries. | ShipServe | 9 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Cloud AI Senior Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying state-of-the-art GenAI solutions for various industries. The role involves technical leadership, ML infrastructure optimization, and driving technical project strategy for high-impact projects, with a focus on shipping AI products to customers. | ShipServe | 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 |
| Staff Software Engineer, Model Quality Staff Software Engineer for Google Pics, an AI-powered visual editor, focusing on building and improving automated evaluation systems for generative AI models. The role involves establishing metrics, running evaluations, providing insights for model quality improvement, and creating tools to enhance the evaluation process, with a roadmap towards a 2026 launch. | Eval Gate | 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 |
| Staff Software Engineer, AI/ML, Search Ads Staff Software Engineer at Google working on AI/ML for Search Ads. The role involves leveraging AI/ML advancements, including LLMs and Agentic AI, to optimize search results and create new ad experiences. Responsibilities include designing, building, and maintaining self-service tools for AI/ML quality evaluation and architecting systems for deploying and serving AI/ML models for data quality assessment. | ShipAgent | 8 |
| Technical Program Manager, Frontier Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Frontier Safety, Alignment, and Collaboration at Google DeepMind. This role focuses on operational strategy and execution for safe and responsible AI development, bridging AI research with product deployment. Responsibilities include managing safety frameworks, implementing unified safety gates, coordinating evaluations for critical capability levels, and managing mitigation plans for model breaches. The role requires strong program management skills and an understanding of ML/AI safety and alignment principles. | Eval GatePost-train | 8 |
| Software Engineer III, Generative AI, Search Health Software Engineer III for Generative AI in Google Search Health, focusing on improving response quality, implementing new features, prompt engineering, and collaborating with the core model team. Responsibilities include building datasets, analyzing behavior, and running A/B experiments. Requires experience with GenAI techniques and ML infrastructure. | Post-trainAgent | 8 |
| Staff Software Engineer, GPU Performance Staff Software Engineer focused on optimizing GPU performance for LLM training and serving within Google Cloud's AI infrastructure. This role involves identifying performance bottlenecks, running benchmarks, and implementing solutions at scale, with a strong emphasis on low-level GPU programming and compiler optimizations. | Serve | 8 |
| Software Engineer III, Recommendations, Rankings, Predictions, Discover Ranking Google is seeking a Software Engineer III for their Discover Ranking team, focusing on AI-driven personalization. The role involves developing and testing new ranking algorithms and model features, analyzing experiment results, and exploring new techniques for content understanding and personalization. The position requires experience in building and deploying recommendation systems models and ML infrastructure, with a focus on deep learning and LLMs. | ShipAgent | 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 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 |
| 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 |
| 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 |