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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Software Engineer, Acceleration Platform Senior Software Engineer to architect next-generation AI-native agentic systems for eliminating developer toil. Focus on defining paradigms for self-sustaining AI to resolve engineering issues, establishing AI engineering excellence and security-by-design, and scaling technical capabilities. Responsibilities include leading design of multi-agent networks, defining best practices blending distributed systems with LLM orchestration and RAG, establishing AI quality/safety strategy with automated evaluation, managing edge cases with advanced telemetry, and driving technical alignment and mentorship. | AgentEval Gate | 9 |
| 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 |
| 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 |
| 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 |
| 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 |
| Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles like data readiness, integration complexities, and state-management challenges to achieve enterprise-grade AI maturity. | Agent | 8 |
| Forward Deployed Engineer II, GenAI, (Bahasa Indonesia) Google Cloud is seeking a Generative AI (GenAI) Forward Deployed Engineer (FDE) II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing production blockers, and providing feedback to product teams. The FDE will also build evaluation pipelines and observability frameworks, and translate technical concepts to non-technical audiences, requiring fluency in Bahasa Indonesia. | AgentEval Gate | 8 |
| Software Engineer, Content Safety Team Software Engineer on the Content Safety Team at Google, focusing on building and scaling systems to protect users and products from harmful content. This involves working with classifiers, vector databases, multimodal models, and agentic workflows, as well as model training and evaluation pipelines. The role requires experience with production-grade distributed systems and ML concepts, with a focus on responsible AI principles and ensuring the safety of Generative AI experiences. | AgentData | 8 |
| Forward Deployed Engineering Manager, GenAI, Delta, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions in customer environments, providing technical mentorship and resolving production-level obstacles related to data, integration, and state management to achieve enterprise-grade maturity. | Agent | 8 |
| Agentic Software Engineer, Android and Chrome Security Software Engineer focused on building AI Agentic solutions to secure the supply chain for Android, Chrome, and ChromeOS. This involves developing AI-driven software and tooling to protect infrastructure, build pipelines, and third-party dependencies against compromised accounts and upstream threats. The role emphasizes designing and deploying multi-agent systems for security. | Agent | 8 |
| Software Engineer, AI i18n and Evaluations Software Engineer focused on AI internationalization and evaluations for Pixel and Android. Responsibilities include leading R&D for AI feature expansion, quality evaluations, and rater quality using on-device and server-based models. Tasks involve creating auto-raters, ensuring metric consistency, establishing benchmarks, and collaborating with AI feature teams. The role also involves identifying opportunities and leading roadmaps to scale language capabilities and improve model evaluation processes. | Eval GatePost-train | 8 |
| Staff Software Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | AgentServe | 8 |
| Forward Deployed Engineer V, GenAI, Google Cloud Forward Deployed Engineer for GenAI on Google Cloud, focusing on building and deploying agentic AI solutions within customer environments. This role involves coding, debugging, and shipping bespoke agentic workflows, bridging the gap between AI products and enterprise infrastructure, and providing feedback to product roadmaps. | AgentServe | 8 |
| Software Engineer, Content Safety Software Engineer focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, for Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training and evaluation workflows, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on ensuring product safety and responsible AI principles. | AgentData | 8 |
| Software Engineer, Android/Chrome, Security Infrastructure Software Engineer role focused on building AI-driven tooling and agents to enhance the supply chain security of Android, Chrome, and ChromeOS. The role involves developing solutions for source code trust, build integrity, infrastructure hardening, and third-party risk management, with a focus on detecting suspicious patterns and automating security processes. | Agent | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud 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, Engineering, and Sales, and resolving production-level obstacles for AI adoption in enterprise settings. | AgentServe | 8 |
| Forward Deployed Engineering Manager, Gen AI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles related to AI adoption. | Agent | 8 |
| Software Engineer, Acceleration Platform Team Software Engineer on the Acceleration Platform Team building scalable, AI-native agentic systems to automate complex workflows and solve enterprise-scale engineering problems. The role involves leading zero-to-one initiatives, defining AI-first engineering best practices, scaling evaluations and guardrails for AI safety, and building advanced telemetry for debugging and optimizing self-supporting behaviors. | Agent | 8 |
| Software Engineer, Acceleration Platform Software Engineer on the Acceleration Platform team in Singapore, responsible for designing and implementing AI-native agentic systems to eliminate developer toil. The role involves leading zero-to-one technical initiatives, building scalable frameworks for self-sustaining AI at an enterprise scale, and mentoring junior peers. Responsibilities include designing systems where AI agents reason and execute workflows, blending traditional software development with prompt engineering and RAG, creating evaluation pipelines for AI performance, and troubleshooting non-deterministic AI behaviors. | Agent | 8 |
| Staff Software Engineer, Content Safety, Productionization Staff Software Engineer at Google focused on Content Safety, Productionization. This role involves safeguarding business-critical products, including GenAI experiences, by designing, building, and scaling content safety solutions like classifiers and multimodal understanding. Key responsibilities include working on agentic workflows for threat understanding and content moderation, leading ML solution design, optimizing ML infrastructure, and guiding model optimization and data processing strategies. The role requires significant experience in software development, ML infrastructure, and ML design, with a focus on productionizing AI for safety. | AgentServe | 8 |
| Staff Software Engineer, Content Safety, Infrastructure Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization. | AgentServe | 8 |
| Forward Deployed Engineer II, Generative AI, Google Cloud Forward Deployed Engineer II, Generative AI, Google Cloud. This role involves building and shipping production-grade agentic AI solutions within customer environments, managing integration complexities, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to product roadmaps. Requires experience with Python/Typescript, building AI solutions, data pipelines with vector databases/RAG, and cloud platforms. Preferred experience with multi-agent frameworks and LLM optimization techniques. | AgentServe | 8 |
| Software Engineering Manager, Cloud ML Compute Services (Mandarin, English) Software Engineering Manager for Google Cloud's ML Compute Services, focusing on optimizing customer AI/ML models on Google Cloud infrastructure. The role involves leading a team, providing technical guidance, partnering with customers on performance, and collaborating with internal teams to enhance AI workload support. | ServePost-train | 8 |
| Senior Software Engineer, Robotic Test Automation Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams. | Agent | 8 |
| Software Engineer, AI i18n and Evaluations Software Engineer focused on AI internationalization and evaluations for Pixel and Android. Responsibilities include leading R&D for AI feature expansion, quality evaluations, and rater quality using on-device and server-based models. Tasks involve creating auto-raters, ensuring metric consistency, establishing benchmarks, and collaborating with AI feature teams. The role also involves identifying opportunities and leading roadmaps to scale language capabilities and improve model evaluation processes. | Eval GatePost-train | 8 |
| Customer Engineer, AI Infrastructure, Google Cloud Customer Engineer focused on deploying and optimizing AI infrastructure (TPUs/GPUs) for customers on Google Cloud Platform, supporting AI training and inference solutions. This role involves deep technical expertise in AI hardware, distributed systems, and performance tuning for large-scale AI workloads. | ServePost-train | 7 |
| Software Engineer, Android Trust Software Engineer role focused on protecting Android users from abusive apps by developing and scaling analysis platforms, implementing system-level code for deep inspection, and architecting defense strategies for agentic AI threat models. The work involves supervised/unsupervised ML and generative AI for security violations, static/dynamic program analysis, and threat mitigation. | Agent | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, resolving technical blockers, and identifying new AI use cases. Requires experience with AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Senior Engineering Manager, Android Application Safety Senior Engineering Manager for Android Application Safety at Google, responsible for protecting Android devices from malware, privacy violations, and content abuse by leveraging AI and building infrastructure. The role involves managing engineers, technical project strategy, ML design, and optimizing ML infrastructure, with a focus on safeguarding the Android app ecosystem and ensuring a secure user experience. | ShipServe | 7 |
| Senior Software Engineer, Machine Learning, Debug Senior Software Engineer focused on applying computer vision and deep learning models to analyze mosquitoes for a disease eradication program. The role involves designing, training, and deploying models for object detection and image segmentation, modeling population dynamics, and transitioning research prototypes to production environments. Requires full-stack development experience and experience with ML/CV products, with a preference for edge deployment and biological/environmental science contexts. | ServePost-train | 7 |
| Software Engineer, Information Security Engineering Software Engineer role focused on developing agentic tooling and systems for information security at Google. The role involves automating security processes, analyzing risks, detecting vulnerabilities, and assisting developer teams in embedding security best practices. Key responsibilities include collaborating on AI agent development, steering the strategic development of agents and infrastructure for vulnerability handling, and implementing Go back-end systems and Python AI agents. | Agent | 7 |
| Technical Program Manager, Network Solutions and Automation Technical Program Manager focused on leading the end-to-end technical strategy, design, and delivery of internal tools, automation frameworks, and intelligent agents (AI/LLM-driven) for network infrastructure challenges. The role involves collaborating with technical teams to identify and automate manual network operations. | Agent | 7 |
| Senior Security Engineering Manager, Enterprise Security AI This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data against AI-related risks. The team will develop novel approaches and manage AI-motivated automation for agentic AI workflows, ensuring compliance and security posture as AI adoption accelerates. | Agent | 7 |
| Senior Software Engineer, Android Trust Senior Software Engineer on the Android Trust team, focusing on protecting users from abusive apps using ML, generative AI, and agentic AI threat models. Responsibilities include developing analysis platforms, system-level code for app inspection, and leading design reviews for defense strategies against agentic AI threats. The role involves novel research and publishing in security conferences. | Agent | 7 |
| Senior Software Engineer, Machine Learning, Payments Senior Software Engineer, Machine Learning, Payments at Google Singapore. This role focuses on building and maintaining ultra-reliable production ML services and massive batch pipelines for the Payments team. It involves developing ML models, working with product teams for experimentation, analyzing data, and designing experiments. Requires 5 years of software development experience and 3 years each in ML infrastructure and data pipelines for ML. Preferred qualifications include experience with production ML models and system efficiency analysis. | ServeData | 7 |
| Software Engineer, Machine Learning, Payments Software Engineer, Machine Learning, Payments role at Google Singapore. Focuses on developing and deploying ML models for the Payments team, ensuring services and data are available and reliable. Requires experience in software development and ML infrastructure. | ShipServe | 7 |
| Software Engineering Manager, Content Safety, Infra Software Engineering Manager for Content Safety, focusing on ML infrastructure and AI-based techniques to protect users from harmful content. The role involves managing engineers, setting team priorities, developing technical roadmaps, and overseeing the deployment of large-scale projects. Requires significant experience in ML infrastructure, model deployment, evaluation, data processing, and fine-tuning, with a strong emphasis on people management and technical leadership. | ServePost-train | 7 |
| Technical Program Manager, Generative AI Safety Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models. | Eval GatePost-train | 7 |
| Senior Customer Engineer, AI Infrastructure, Google Cloud Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks. | ServePost-train | 7 |
| Software Engineering Manager, Acceleration Platform Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration. | Agent | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include developing deployment plans, providing technical leadership, and accelerating customer time-to-value. | Agent | 7 |
| Staff Software Engineer, Cloud ML Compute Services (Mandarin, English) Staff Software Engineer focused on optimizing AI/ML model performance on Google Cloud infrastructure, including training and inference workloads. The role involves partnering with customers, collaborating with internal teams, and developing training materials, with a strong emphasis on debugging and troubleshooting ML infrastructure. | ServePost-train | 7 |
| Senior Data Engineer, Product Analytics, Payments Senior Data Engineer role focused on building agentic analytics systems using LLMs and AI for Google's Payments product. The role involves designing and implementing AI-native data pipelines, automating insight generation, and partnering with Product, Data Science, and Engineering teams to deliver solutions. Requires strong Python, SQL, data pipeline, and ML operations experience, with a preference for AI/LLM systems and agentic workflows. | AgentData | 7 |