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 |
| Senior Research Scientist, App and Ecosystem Trust Research Scientist role focused on Android security and AI agent safety, developing and publishing novel research, designing neuro-symbolic and agent-powered systems for threat detection, and using machine learning for code analysis to combat malware and evasion techniques within the Android ecosystem. | Agent | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Thai) Forward Deployed Engineer for GenAI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing challenges in data readiness and state management. It also includes building evaluation pipelines and observability frameworks, and providing feedback to product teams. | AgentEval Gate | 8 |
| 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 |
| 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 |
| Staff Research Scientist, App and Ecosystem Trust Research Scientist role focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, and using machine learning for malware detection and evasion technique neutralization. | Agent | 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, 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 |
| 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 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, 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 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, including model development and evaluation, to detect and prevent various forms of abuse, impacting the safety of billions of users. | Post-train | 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 |
| Software Engineer III, Enterprise Data Protection Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats. | Agent | 7 |
| Security Engineer II, Enterprise Security AI Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations. | Agent | 7 |
| Senior Software Engineer, Payments Data Platform This role focuses on building and evolving the core data infrastructure and tooling for Google's Payments Data Platform (GDP). The platform supports advanced analytics, AI personalization, and agentic experiences, aiming to unlock the potential of Payments data for reliable, compliant, and scalable data infrastructure. The engineer will design and implement data pipelines, own technical areas, and drive technical strategy for data management. | Data | 5 |
| Senior AI Adoption Customer Engineer, Google Cloud Senior AI Adoption Customer Engineer for Google Cloud Platform, focusing on driving the adoption of enterprise AI products with strategic customers. This role involves technical leadership, deployment planning, and consultative delivery of AI solutions, including multi-agent workflows and RAG systems. | Agent | 5 |
| Senior Outbound Product Manager, Generative AI Product Manager role focused on the Go-to-Market strategy and execution for Google Cloud's AI portfolio, specifically the Vertex AI platform and Gemini Enterprise. The role involves shaping product roadmaps, collaborating with customers and partners, and driving business growth and adoption of AI solutions for enterprise clients. | — | 5 |
| AI Sales Specialist, GenMedia, Google Cloud Sales Specialist for Google Cloud's AI offerings, focusing on the GenMedia sector in APAC. The role involves building customer relationships, demonstrating product functionality, and driving business value through AI solutions. It requires understanding customer needs, collaborating with internal teams, and contributing to Go-to-Market strategies. | — | 5 |
| Strategy and Operations Manager, APAC Marketing This role focuses on leading the AI transformation within the APAC Marketing organization, defining and executing an AI roadmap, integrating AI into campaigns and workflows, and driving AI adoption. It involves piloting and scaling AI use cases, building prototypes, and advocating for AI literacy. The role requires experience in program management, consulting, strategy & operations, and a practical knowledge of AI tools and platforms, with coding skills being preferred. | — | 5 |
| GECX Sales Specialist, Manager, Google Cloud This role is a sales specialist focused on growing the Gemini Enterprise for Customer Experience (GECX) business within Google Cloud. The specialist will build and expand customer relationships, identify use cases for Google Cloud AI products, and partner with internal sales teams to drive business growth. The role requires extensive experience in enterprise software, cloud, or AI sales, with a focus on customer experience technologies. | — | 5 |
| Software Engineer III, Ads Campaign Automation (Mandarin) Software Engineer III role focused on Ads Campaign Automation, involving large-scale experiments for Ads serving, bidding models, and retrieval systems. Requires strong software development skills, data-driven approaches, and collaboration with cross-functional teams. Familiarity with GenAI concepts is preferred. | Serve | 5 |
| Software Engineer, Ads Campaign Automation (Mandarin) Software Engineer role focused on Ads Campaign Automation, involving large-scale experiments for ads serving, bidding models, and retrieval systems. Requires experience with ads buying platforms, campaign automation, optimization, and performance diagnosis within the ads ecosystem. Fluency in Mandarin is essential for regional collaboration. | Serve | 5 |
| Senior Software Engineer, Ads Campaign Automation (Mandarin) Senior Software Engineer role focused on Ads Campaign Automation, involving technical strategy, design, development, and optimization of ad serving, bidding models, and retrieval systems. The role also guides Generative AI solutions for asset generation and requires collaboration with regional partners. Experience with large-scale distributed systems and ads platforms is preferred. | Ship | 5 |
| AI Sales Specialist, Google Cloud The AI Sales Specialist will drive Google Cloud's AI business by building and expanding customer relationships, demonstrating product functionality, and identifying key business use cases. This role involves working with customers to build new products leveraging AI solutions, managing customer relationships, and developing Go-to-Market strategies. The specialist will act as a trusted advisor, deliver against sales quotas, and execute strategic account plans with a focus on responsible AI. | — | 5 |
| Software Engineer III, Business Mobile App, Google Pay Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to enhance development workflows. The team uses AI in daily work for development and to ensure complex technology is simple for merchants. | — | 5 |
| Senior Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, involving security assessments, threat modeling, and developing guardrails for AI agents to protect Alphabet's data. The engineer will adapt existing security knowledge to mitigate risks from AI use and advise on secure AI development paths. | Agent | 5 |
| Senior Software Engineer, Finance and Growth Platform, Payments This role is for a Senior Software Engineer on the Consumer Payments Finance and Growth Platform team at Google. The team owns the infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. While the role requires experience with Generative AI and agentic technologies, the core function is engineering for a financial platform, not building core AI models or research. | — | 5 |
| Software Engineer, Finance and Growth Platform, Payments Software Engineer on the Consumer Payments Finance and Growth Platform team at Google, focusing on infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. Minimum qualifications include 2 years of software development experience and 1 year of experience with Generative AI, Agentic AI, LLMs, AI evaluations, training, or models. Preferred qualifications include experience with AI/ML systems and developing Generative AI Agentic solutions. | — | 5 |
| Senior Software Engineer, Information Security Engineering Senior Software Engineer role focused on information security, involving the development of tools for product security consulting, response, and research, with a specific emphasis on AI agents. The role requires designing and implementing Go and Python AI agents, building new features on internal systems, and contributing to technical roadmaps. Experience with AI is preferred. | Agent | 5 |
| Growth Consultant, AppDev, Google Customer Solutions (English, Japanese) This role is a Growth Consultant for App Development within Google Customer Solutions, focusing on helping businesses optimize user acquisition strategies using Google Ads. The role involves data science/measurement consulting, client analysis, automation using GoogleSQL/Python, and collaboration with sales, product, and technical teams. The consultant will advise clients on marketing analytics best practices and scale measurement impact by upskilling sales managers. While understanding AI principles is preferred, the core function is sales and consulting, not direct AI/ML model development. | — | 5 |
| Software Engineer II, Enterprise Data Protection Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering. | — | 5 |
| Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, implement guardrails, and advise on mitigating risks associated with AI use within Google's products and third-party AI products. | Agent | 5 |
