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, DeepMind This role embeds with strategic partners to architect, optimize, and build production-grade GenAI applications, driving joint evaluations and benchmarking to influence model development. It involves guiding partners on advanced implementation techniques like RAG and multimodal integrations, and building feedback loop tooling. | AgentEval Gate | 8 |
| Senior Software Engineering Manager, Agent Registry and AppHub Senior Software Engineering Manager at Google Cloud responsible for the Agent Registry and AppHub. This role focuses on building foundational infrastructure for an AI-native agentic cloud, managing teams, and driving best practices for distributed systems and AI/LLM adoption. Key responsibilities include owning multi-year roadmaps, transforming AppHub into a central registry for AI Agents, and delivering infrastructure for agentic observability and regulatory reporting. |
| Agent |
| 8 |
| Software Engineering Manager II, Agentic Planning and Memory Software Engineering Manager II for the Agentic Planning and Memory team, focused on building next-generation agentic capabilities for Google Workspace. The role involves developing advanced general function-calling approaches for autonomous workflow execution and an agentic memory layer for improved context retention, accuracy, personalization, and latency. The manager will lead teams, define technical roadmaps, and collaborate on integrating these capabilities into core Workspace products, impacting billions of users. | Agent | 8 |
| Senior Software Engineer, AI/ML, Geo and Gemini App Senior Software Engineer role focused on building AI/ML features for Google Geo products, involving agentic workflows, evaluation frameworks, and serving infrastructure enhancement. Requires experience with LLMs, RAG, and model quality optimization. | AgentEval Gate | 8 |
| Principal Consultant, AI/ML, Mandiant, Google Cloud This role focuses on architecting and building intelligent agents and tooling to automate cyber defense operations. The consultant will translate complex security workflows into AI systems, integrate them with enterprise platforms, and ensure their operational readiness and security. The role requires experience with AI platforms, Generative AI agents, Python, and integrating distributed systems, with a preference for cybersecurity operations and AI evaluation frameworks. | Agent | 8 |
| Google Cloud Consulting Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is hiring a Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with customers to build and deploy bespoke agentic AI solutions, bridging the gap between frontier AI products and production realities. Responsibilities include developing agentic workflows, integrating AI products with customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires software development experience, cloud platform expertise, and experience with RAG and vector databases, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 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 |
| Senior Software Engineer, Agentic Ecosystem Platform Senior Software Engineer to drive technical direction and architecture for an Agentic Ecosystem Platform. This role involves designing, developing, and scaling infrastructure for agentic operations, integrating with third-party and first-party systems. The engineer will build reliable platforms powering next-generation capabilities across major Google products, partnering with cross-functional teams to define strategy and best practices. Responsibilities include developing implementations on generalist models, designing tool orchestration, leading technical delivery of integrations, and mentoring engineers. | Agent | 8 |
| Senior Software Engineer, AI/ML Senior Software Engineer role focused on developing and scaling Agentic AI and ML systems within the HR domain for Google employees. The role involves technical leadership, collaboration with stakeholders, and staying updated on AI/ML trends, with a strong emphasis on building multi-agent systems and generative AI solutions. | Agent | 8 |
| Forward Deployed Engineer III, Generative AI, Google Cloud Forward Deployed Engineer III for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions for enterprise customers. This role involves integrating Google's AI products (like Gemini and Vertex AI) into customer environments, addressing integration complexities, data readiness, and state management. Responsibilities include developing production-grade agentic workflows, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, identifying field patterns for product improvement, and co-building with customer teams. Requires strong software development skills (Python), experience with cloud AI systems, RAG, vector databases, and leading technical discovery. Preferred experience includes multi-agent systems and LLM-native metrics. | AgentEval Gate | 8 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focusing on helping enterprise customers adopt and integrate Generative AI solutions, including architecting applications and agentic systems on Google Cloud Platform. | Agent | 8 |
| Staff Software Engineer, Knowledge Catalog, AI Staff Software Engineer role focused on empowering AI agents within Google Cloud's data ecosystems. The role involves tackling challenges in context engineering, metadata enrichment, search, personalization, conversational analytics, and catalog infrastructure, with a focus on rapid prototyping, experimentation, and integration with products like Gemini Enterprise. The engineer will drive technical goals, influence across boundaries, shape strategy, and lead junior engineers, with a minimum of 8 years of software development experience and 5 years of experience in ML infrastructure and GenAI techniques. | AgentServe | 8 |
| Staff Software Engineer, Roads Data Quality, Geo Staff Software Engineer role focused on designing and building a 3D navigation map using sensor data, large ML models, and vision transformers. The role involves leading ML model development, data curation, evaluation, and deploying GenAI solutions. It requires technical leadership and collaboration across multiple teams. | AgentData | 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 |
| Senior Software Engineering Manager, Ecosystems and Integrations Databases Senior Software Engineering Manager to lead a team focused on transforming Cloud databases for agentic AI. The role involves managing engineers, contributing to product strategy, and overseeing the deployment of large-scale projects. The team's mission is to build common platforms and frameworks to support agents on all databases, enabling them to use enterprise data effectively. This requires balancing research in AI and databases with shipping products. | Agent | 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 |
| Senior Software Engineer, Google Cloud Generative AI Blackbelt Team Senior Software Engineer on the Google Cloud Generative AI Blackbelt Team, focusing on applying Generative AI and LLMs to enterprise solutions. The role involves developing, testing, deploying, and maintaining software solutions, with a strong emphasis on customer-facing applications and potentially building end-to-end architectures using agentic or Generative AI capabilities. Experience with AI Agents and responsible AI principles is preferred. | Agent | 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 |
| Staff Software Engineer, AI/ML, XR Staff Software Engineer focused on building AI-powered interactions for next-generation XR devices, integrating Gemini's multimodal capabilities to create personalized and contextually aware experiences. The role involves innovating and architecting multimodal solutions, collaborating cross-functionally, and developing technologies for intelligent eyewear and VR headsets. | Agent | 8 |
| Staff Datacloud Blackbelt Engineer, Data and AI Staff Blackbelt Engineer focused on building, deploying, and optimizing sophisticated Data and AI agents and solutions for enterprise customers using Google's AI technologies. The role involves architecting solutions, optimizing performance, and codifying reusable assets for broader adoption, bridging platform primitives with customer needs. | AgentServe | 8 |
| Senior Software Engineer, Map Ads, Machine Learning Senior Software Engineer role focused on building next-generation modeling and quality infrastructure for queryless ad formats using advanced AI techniques like LLM-based distillation and differential modeling. The role involves leading technical roadmaps across retrieval, auction, and measurement, and developing evaluation frameworks. It requires experience with ML infrastructure, programming, and machine learning fields such as reinforcement learning, recommendations/ranking, or LLMs. | AgentPost-train | 8 |
| Staff Software Engineer Staff Software Engineer at Google DeepMind focused on building tools and best practices for AI research iteration, architecting data pipelines for training and evaluation, and developing evaluation benchmarks. The role involves collaborating with researchers to ship product features and providing technical leadership, with a strong emphasis on system design, scalability, and maintainability. | AgentEval Gate | 8 |
| Software Engineer Software Engineer role at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, designing and building infrastructure for next-gen AI features, and managing the full deployment lifecycle. | AgentData | 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, Agentic AI, Trust and Safety Staff Software Engineer role focused on architecting and scaling AI/ML systems and distributed infrastructure for Trust and Safety at Google. The role involves defining the technology roadmap, integrating high-availability systems, leading multi-team technical initiatives, and mentoring other engineers. Requires experience in large-scale distributed systems and building agentic AI systems. | AgentServe | 8 |
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud 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, resolving production obstacles, and collaborating with Product, Engineering, and Sales leadership. The role focuses on bridging the gap between frontier AI products and production-grade reality for enterprise customers. | Agent | 8 |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud Lead a team of AI/ML engineers focused on deploying bespoke agentic solutions within customer environments for Google Cloud's Public Sector and Education clients. This role involves technical mentorship, strategic alignment with sales and product leadership, and resolving production-level obstacles to achieve enterprise-grade AI maturity. The team leverages Google's frontier AI models and Vertex AI platform to solve complex business problems. | Agent | 8 |
| Senior Staff Tech Lead, YouTube Shorts Discovery Tech lead for AI/ML software engineers focused on YouTube Shorts discovery models, aiming to align recommendations with user interests. This involves building large-scale AI/ML systems using techniques like LLMs, generative retrieval, and long-sequence modeling for personalized retrieval and early-stage ranking. The role requires defining technical strategy, leading high-impact projects, and partnering with cross-functional teams. | 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 |
| 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 |