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 |
|---|---|---|
| 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 |
| Group Product Manager, Cloud AI, Agent Platforms and Deployment Product Manager for Google Cloud's Agent Platforms and Deployment, focusing on the strategy and real-world deployment of AI agents. This role bridges business requirements and technical architectures, working directly with customers to build solutions using Google's AI stack and scaling the Gemini Enterprise platform. Responsibilities include owning technical delivery, extracting signals for platform improvement, translating business needs to data representation, developing agent handholding frameworks and guardrails, and informing the core platform roadmap. |
| Agent |
| 8 |
| Fullstack Software Engineer, GenAI, DeepMind Software Engineer role focused on building and testing AI agents within a robotics context, integrating hardware and software systems for agent evaluation and deployment on robots. | 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 |
| Gameplay Programmer, Games, Inception, DeepMind Gameplay Programmer and Prototyper role focused on building interactive experiences that integrate generative models and agentic workflows as core game mechanics. The role involves creating 0-to-1 prototypes, building tools for designers and researchers, integrating streaming models into game environments, and solving technical bottlenecks in early-stage projects. Requires experience in game tech R&D, AI/ML, and architecting new systems. | AgentServe | 8 |
| Software Engineer, AI Software Agents Software Engineer role focused on building and developing AI software agents, partnering with researchers and product teams to create emerging AI capabilities and technologies. The role involves understanding developer pain points, ideating, running experiments, and turning new ideas into finished products, with a strong emphasis on generative AI agents. | Agent | 8 |
| Senior Staff Software Engineer, AI/ML, Security Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products. | AgentEval Gate | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish) Forward Deployed Engineer III for Google Cloud, focusing on building and deploying production-grade generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Requires strong software development skills, experience with AI systems on cloud platforms, RAG, and vector databases. | AgentServe | 8 |
| Forward Deployed Engineer IV, Applied AI, Google Cloud Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions, owning the end-to-end engineering lifecycle for customers' critical AI initiatives. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and co-building with customer engineering teams to instill best practices. The role requires experience with software development, ML operations, cloud infrastructure, and deploying resources via tools like Terraform. | AgentServe | 8 |
| Applied AI and ML Engineer II This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within the finance domain. The engineer will build and scale AI agents, design system architectures for reliability and auditability, and implement evaluation frameworks and guardrails. The role requires experience in classical ML and LLMs, full-stack development, and working in regulated environments. | AgentServe | 8 |
| Forward Deployed Developer III, Generative AI, Google Cloud (English, Portuguese) This role involves acting as an embedded builder for Google Cloud, developing and deploying bespoke agentic AI solutions within customer environments. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, and vector databases, with a focus on transitioning AI from prototypes to production-grade agentic workflows. | AgentServe | 8 |
| Applied AI and ML Engineer This role focuses on leading the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions within Google's finance organization. The engineer will build and scale AI agents, design system architectures prioritizing reliability and auditability, and implement evaluation frameworks and guardrails. The role involves translating finance problems into technical specifications and partnering with stakeholders to drive AI-native workflows and efficiency. | AgentServe | 8 |
| Forward Deployed Engineer III, Google Cloud, Applied AI The Forward Deployed Engineer III role focuses on transforming conversational AI prototypes into production-ready solutions for enterprise customers on Google Cloud. This role involves end-to-end engineering, including architecting agentic workflows, building evaluation pipelines, and ensuring scalability and security. It requires strong software engineering, MLOps, and cloud infrastructure skills, with a focus on customer success and leveraging Google's AI portfolio. | AgentServe | 8 |
| Staff Software Engineer, Generative AI, Core Machine Learning Staff Software Engineer focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure, including Knowledge Store libraries and self-reflection modules, to improve the quality, reliability, and efficiency of AI agents. Key responsibilities include extracting deterministic logic from prompts into code-based workflows, scaling automated prompt optimization, and implementing code-level safety enforcements. | Agent | 8 |
| Staff Software Engineer, CoreOS Agentic Engineering Staff Software Engineer role focused on Agentic Engineering within Google's CoreOS. The role involves conceptualizing, developing, and productionizing AI-driven strategies to optimize Google's global compute performance and operating system. Responsibilities include designing and building large-scale software solutions, leading teams, and developing tools for monitoring and testing. | Agent | 8 |
| Staff Software Engineer, AI-Powered GRC Automation Staff Software Engineer to build an AI-powered platform for automating and scaling Governance, Risk, and Compliance (GRC) functions within Google Cloud and Technical Infrastructure. The role involves defining technical strategy, architecting scalable solutions, and leading the development of AI/ML models for continuous monitoring, privacy enforcement, audits, and risk reporting. Responsibilities include assessing data quality, building data pipelines, and understanding control objectives for AI-enhanced monitoring. | AgentData | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud AI Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud AI. The role involves leveraging ML infrastructure, evaluating different techniques, and working with state-of-the-art GenAI concepts like LLMs and Multi-Modal models. Requires strong programming skills (Python/C++) and experience with ML infrastructure and software development. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on deploying bespoke generative AI and agentic solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. | Agent | 8 |
| Software Engineer, Agentic AI Systems, Cloud Security Software Engineer role focused on building next-generation agentic AI systems for Google Cloud Security, aiming to protect major organizations worldwide by developing foundational AI platforms and scaling security agents. | Agent | 8 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. Responsibilities include coding, debugging, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with applied AI, pre-trained models, RAG, and cloud platforms, with a focus on enterprise-grade AI maturity. | AgentEval Gate | 8 |
| Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English) Forward Deployed Engineer for GenAI on Google Cloud, focusing on integrating frontier AI products into customer production environments. Responsibilities include managing integration and data readiness issues, deploying AI systems, building evaluation pipelines, and acting as a feedback loop to product teams. Requires experience with Python, ML packages, applied AI (prompt engineering, fine-tuning, RAG, orchestration), and cloud platforms. Fluency in Japanese and English is necessary. | 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 |
| Staff Applied AI Agent Developer Staff Applied AI Agent Developer role focused on applying Generative AI (Gemini Enterprise) to solve real-world challenges for strategic customers. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing technical guidance to customers. The role also involves creating reusable tools, building documentation, and influencing product strategy based on field insights. | Agent | 8 |
| Software Engineer, GKE, PhD, Early Careers Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI. | AgentServe | 8 |
| Senior Security Engineer, Uppercase Research This role focuses on building and scaling autonomous security operations using AI agents and LLM-driven pipelines. The engineer will design and deploy intelligent agentic workflows for threat hunting and automated detection, transforming static security workflows into self-correcting, LLM-driven pipelines that automate the detection lifecycle. The role involves deep-dive technical analysis of adversary behavior to train ML models and ground agentic workflows, and creating tooling to support automated security operations. | Agent | 7 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer role 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, identifying new AI use cases, and resolving technical blockers to accelerate customer time-to-value. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Staff Software Engineer, AI Intelligent Database Management Staff Software Engineer role focused on building and managing AI-assisted intelligent database management systems for enterprises. The role involves developing agentic experiences and LLM-based conversational agents to monitor and manage database fleets at scale, integrating with cloud databases and GCP services. Requires strong software engineering skills with significant experience in ML design, ML infrastructure optimization, and GenAI techniques. | AgentServe | 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 |
| Customer Engineer AI, Financial Services, Google Cloud Customer Engineer specializing in Gemini Enterprise, partnering with Technical Sales to integrate generative AI into enterprise environments. The role involves architecting secure, data-connected solutions beyond chat interfaces, engaging with customers to understand requirements, and presenting solutions on Google Cloud. It requires blending business expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud's AI portfolio. | 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, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
| Senior Developer Relations Engineer, AI Foundation and Security Senior Developer Relations Engineer for AI Foundation and Security at Google. This role involves building production-ready AI applications, integrating AI into secure workflows, demonstrating deployment at scale, and creating content to drive developer adoption of Google Cloud and Google AI. The role also involves providing feedback on AI features and influencing product roadmaps. | Agent | 7 |
| AI Customer Engineer, Google Cloud (Korean, English) Customer Engineer specializing in Gemini Enterprise, partnering with technical Sales teams to integrate Generative AI into complex enterprise environments. Focuses on architecting robust, secure, and data-connected solutions, blending sales, market knowledge, and technical engagement to prove the value of Google Cloud's AI portfolio. | Agent | 7 |
| Technical Program Manager, Applied Technical Expertise Enablement, GCP Technical Program Manager focused on enabling Google Cloud developers with AI expertise. This role involves leading the creation and execution of technical learning strategies, authoring and curating content, and designing learning experiences that help engineers build AI-native features and AI-first products. The position bridges traditional CS systems, Cloud product development, and AI-driven engineering, with a focus on practical application and adoption of AI tools within learning. | Agent | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer for Google's AI Automotive team, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a strong emphasis on software design, architecture, and engineering excellence. | Agent | 7 |
| Director, Product Management, Shopping Graph Enrichment Director of Product Management for Google's Shopping Graph enrichment and personalization portfolio. This role sits at the intersection of platform strategy and advanced machine learning, focusing on transforming the product catalog to power personalized shopping assistants and organic search. Key areas include scaling signal collection for fulfillment, using ML to organize brand and user content, and leveraging personal data for recommendations. The role requires influencing engineering, data science, and senior leaders across Google's ecosystem, managing sensitive first-party data responsibly, and operating with high autonomy. | Agent | 7 |
| Staff Software Engineer, YouTube Ads Marketplace Optimization Staff Software Engineer at Google YouTube Ads, focusing on optimizing ad marketplace through large-scale AI systems that model user interests. The role involves leading ML/AI/SW engineers, designing and developing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Experience with production recommendation systems, ML design, ML infrastructure, and integrating generative AI tools is required. | AgentServe | 7 |
| Software Engineer, AI/ML, Ads Data Software Engineer, AI/ML role at Google Ads focusing on building agentic workflows, LLM features, or generative AI solutions. Requires experience in Python, C++, and designing AI solutions within a business context, with a focus on privacy. | Agent | 7 |
| Software Engineering Manager, Agentic Search Software Engineering Manager for Agentic Search at Google, responsible for leading a team of engineers, driving product strategy, and overseeing the development and deployment of large-scale AI/ML and information retrieval systems. The role involves technical leadership, people management, and fostering AI innovation within the team. | Agent | 7 |
| Head of Agentic Business Intelligence, Google Cloud Lead a team defining the intersection of enterprise Business Intelligence and Generative AI, focusing on integrating agentic workflows and conversational analytics within Looker for Google's global Go-To-Market Sales organization. This role will define the long-term goals, architecture, and infrastructure for the "Frictionless Intelligence" initiative, creating a blueprint for enterprise Google Cloud adoption. | Agent | 7 |
| Software Engineering Manager II, YouTube Posts Discovery Software Engineering Manager II for YouTube Posts Discovery team, leading a team focused on applied machine learning recommendations to drive Posts Feed growth and quality. This role involves managing engineers, developing technical understanding of search and discovery systems, and partnering with cross-functional teams. | Agent | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. The role involves owning the end-to-end roadmap for effects in the camera and editor, defining strategy for first-party and branded effects, and pioneering agentic workflows to scale effect production. Requires experience with Generative AI and consumer product management. | AgentData | 7 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer focused on enterprise AI solutions. The engineer will act as an enterprise architect and technical debugger, bridging pre-sales and post-sales execution. Responsibilities include shaping solutions for adoption, leading technical design for integration of models and agents, debugging complex implementation issues, and serving as a liaison to product and engineering teams. The role involves ensuring seamless integration into customer IT ecosystems, including connectors, identity, and data residency, and driving technical delivery strategy. The position emphasizes solving business problems with Google's AI portfolio and Vertex AI platform. | AgentServe | 7 |
| Engineering Manager, Egregious Abuse Protection Engineering Manager for Egregious Abuse Protection, focusing on preventing severe real-world harms like CSAM and child endangerment across Google's flagship products. The role involves developing and deploying advanced abuse-fighting technologies using ML models, heuristics, and data analysis, and managing engineering efforts to protect services and build tools for user trust and external partners. | Agent | 7 |
| Scaled Abuse Lead, YouTube Trust and Safety Lead a team of analysts to identify and remove abusive content and users on YouTube using machine learning models, advanced analytics, and behavioral signals. Drive insights on abuse detection effectiveness and develop strategies to reduce uncaught badness. | Agent | 7 |
| Staff Software Engineer, Google Cloud Agentic AI Google is seeking a Staff Software Engineer to lead the design and development of an AI-enabled ecosystem for transforming product introduction and software development life cycles. This role involves building an intelligent launch assistant using LLMs and agentic AI to automate recommendations and streamline workflows, replacing fragmented legacy systems with a unified, scalable architecture. | Agent | 7 |
| Staff Engineering Analyst This role focuses on analyzing and mitigating AI-driven threats within Google's ad traffic quality systems. The individual will identify future misuse vectors, develop proactive mitigation plans, and lead initiatives to implement next-generation safety measures, including fine-tuning techniques and classifier-based guardrails. They will partner with engineering teams to improve ad traffic infrastructure and defense systems using advanced machine learning, and innovate methods to incorporate AI models for improving manual review operations and generating insights. | AgentPost-train | 7 |
| Software Engineer, Apps, Pixel Software Engineer role focused on building AI-native experiences for Pixel apps, integrating Gemini and agentic engineering principles into the Android ecosystem. The role involves end-to-end development of both Android and server components, with a strong emphasis on partnering with AI/ML teams to leverage cutting-edge model capabilities and create personalized, innovative user experiences. | AgentServe | 7 |
| Staff Software Engineer, AI Agent, Google Cloud IAM Infrastructure Staff Software Engineer at Google Cloud IAM, focused on building the core authorization platform for enterprise AI adoption. This role involves architecting and implementing agentic authorization solutions, leading AI/ML integration into Cloud IAM, and ensuring the security of AI agents and multi-agent ecosystems. The position requires strong software development, distributed systems, and cloud computing experience, with a focus on applying AI/ML to infrastructure and security challenges. | Agent | 7 |
