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 |
|---|---|---|
| Research Scientist, Memory, Reasoning and Continual Learning, DeepMind Research Scientist at Google DeepMind focused on advancing AI in Memory, Reasoning, and Continual Learning. The role involves initiating novel research, designing and executing experiments on topics like RAG, continual learning, and multi-step reasoning, developing evaluations for complex capabilities, and building infrastructure for advanced AI systems. The position requires a PhD and experience in AI research, with a focus on publishing findings and contributing to the research community. | AgentPost-train | 9 |
| Staff Software Developer, AI/ML, Safety and Security This role involves leading AI/ML projects focused on safety and security within Google Workspace. The primary responsibilities include building LLM-based safety and security auto-raters, developing classifiers for prompt injection attacks, and implementing live traffic observability solutions. The role also requires collaboration with Google DeepMind on research-based defense techniques and with various Workspace product teams to protect AI features. The ultimate goal is to ensure the safety and security of AI features across Google's productivity tools. |
| AgentServe |
| 9 |
| Forward Deployed Developer III, Generative AI, Google Cloud Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management challenges. It involves coding, debugging, and deploying complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying product feature requests based on field insights. | AgentEval Gate | 9 |
| Staff Forward Deployed Developer, Generative AI, Google Cloud Staff Forward Deployed Developer, Generative AI, Google Cloud in Toronto, ON, Canada. This role involves embedding as a developer to build and ship bespoke agentic AI solutions within customer environments, bridging frontier AI products with production realities. Responsibilities include coding, debugging, addressing integration and data challenges, building evaluation pipelines, and providing feedback to product roadmaps. The role requires experience with cloud computing, customer-facing technical roles, data pipelines, vector databases, RAG, and architecting AI systems on cloud platforms. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Forward Deployed Development Manager, Generative AI, Google Cloud Lead a team of AI/ML developers to deploy bespoke agentic solutions for enterprise customers on Google Cloud, providing technical mentorship, resolving production obstacles, and driving AI adoption. Responsibilities include establishing best practices, technical hiring, identifying skill gaps, and collaborating with product teams. | Agent | 9 |
| Forward Deployed Developer Manager, Gen AI, Google Cloud This role involves leading a team of developers to build and deploy agentic AI solutions within customer environments on Google Cloud. The focus is on bridging the gap between AI products and production realities, solving integration and data issues, and acting as a feedback loop for product development. The role requires coding, debugging, and shipping solutions, with responsibilities including building evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Senior Forward Deployed Developer, Applied AI Senior Forward Deployed Developer focused on applying Google's Generative AI, specifically building and deploying AI agents on the Customer Engagement Suite platform for enterprise clients. The role involves direct customer interaction, co-development, debugging, and optimizing AI solutions, acting as a bridge between product teams and customer needs to accelerate customer success and influence product strategy. | Agent | 9 |
| Staff Software Developer, AI/ML, Safety and Security Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications. | AgentServe | 9 |
| Staff Forward Deployed Developer, GenAI, Google Cloud This role involves leading the development and deployment of bespoke agentic AI solutions within customer environments on Google Cloud. The developer will bridge the gap between frontier AI products and production reality, focusing on integration, data readiness, and state management. Responsibilities include coding agentic workflows, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and developing AI systems on cloud platforms. | AgentServe | 9 |
| Staff Software Developer, Generative AI, Applied AI, Research Staff Software Developer role focused on developing and deploying agentic AI solutions for enterprise use cases. The role involves inventing, designing, and deploying systems with a focus on algorithmic innovations for sophisticated agentic AI, including multi-agent systems, reinforcement learning, multimodal reasoning, and enhancing LLM reliability and tool use. The position also involves managing and iterating on new platform capabilities and driving technical strategy for a conversational AI platform. | AgentPost-train | 9 |
| Senior Software Developer, AI/ML, Conversational Insights Senior Software Developer role focused on building and implementing AI/ML solutions for conversational insights and AI Agents within Google Cloud's Applied AI division. The role involves developing investigative tools, recommendation systems, and skill matching capabilities for AI Agents, with a focus on Gemini Enterprise and Vertex AI Search. | AgentServe | 8 |
| Senior Forward Deployed Developer, Generative AI, Google Cloud Senior Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. It acts as a bridge between frontier AI and production reality, providing feedback to the product roadmap. | AgentEval Gate | 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 |
| 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 |
| Security Developer, Ads Safety Software Developer role focused on Ads Safety, developing ML solutions to classify and understand actors, detect bad actors, and reduce friction for good actors within Google Ads. Requires experience in software development and ML system building, with a focus on anti-abuse adversarial domains. | Agent | 7 |
| Software Developer, Concorde Gateway, Full Stack This role involves driving the end-to-end development of cloud-based communication system integrations for AI agents, focusing on connecting next-generation AI agents to users across chat and voice surfaces. The position is within the Cloud Applied AI (AAI) team, working on enterprise products powered by Gemini Enterprise, with an emphasis on building solutions that deliver new 0-to-1 capabilities with startup agility and collaborating directly with model builders. | Agent | 7 |
| Senior Software Developer, Applied AI, Google Cloud Senior Software Developer role focused on building cloud-based integration platforms for AI agents in customer support, connecting Generative AI to users across chat and voice surfaces. The role involves end-to-end development, technical leadership, and collaboration with product, UX, and AI research teams. | AgentServe | 7 |
| Senior Software Developer, Applied AI and Telephony Senior Software Developer role focused on integrating AI agents with telephony systems for customer support. The role involves end-to-end development of communication systems, defining technical direction for telephony integrations, and ensuring reliable, scalable, and intelligent Generative AI experiences. It requires expertise in telephony stacks (PSTN, SIP, WebRTC) and experience with ML infrastructure and software development. | AgentServe | 7 |
| Staff Software Developer, Infrastructure, Conversational Agents and Dialogflow Platform Google is seeking a Staff Software Developer to join their Conversational Agents team, focusing on building and serving large-scale chat and voice bots. This role involves technical leadership, influencing a distributed team, and designing/developing/deploying large-scale software solutions for AI-driven conversational agents. The team is part of the rapidly growing Cloud AI product suite, transforming enterprise customer connections through AI. | AgentServe | 7 |