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 |
|---|---|---|
| Research Scientist, AQUA, DeepMind Research Scientist at DeepMind India focused on developing foundational capabilities in Large Models for Artificial General Intelligence (AGI) by advancing autonomous agents through reinforcement learning and ML optimization methods. The role involves designing, implementing, and evaluating models and agents, pushing the boundaries of RL, and collaborating with Responsible AI teams. Requires a PhD, experience with ML frameworks, deep learning, RL, and a publication record. | AgentPost-train | 10 |
| Post-Doctoral Researcher, PhD, 2026 Start, DeepMind (Fixed-Term Contract) - Post-Doctoral Researcher at Google DeepMind focusing on pushing the frontiers of AI by identifying impactful problems, designing novel algorithms, and demonstrating their effectiveness at scale. The role involves conducting research, publishing high-quality work, and contributing to production-ready systems using frameworks like JAX. Expertise in machine learning fundamentals, foundational models, reinforcement learning, generative modeling, and causal inference is central to the team's work. |
| Pretrain |
| 10 |
| Senior Product Manager, AI Garage Senior Product Manager for AI Garage at Google, focusing on defining and delivering AI-powered agentic products for HR processes. The role involves shaping AI-native product strategy, writing PRDs for systems with non-deterministic behavior (including fine-tuning and RAG), partnering with researchers on model requirements, pioneering multi-agent execution frameworks, and implementing LLM evaluation systems. Requires deep technical fluency in generative AI and experience launching technical products. | AgentPost-train | 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer to build and deploy generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. The engineer will also build evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing data readiness and state management challenges. The FDE will also build evaluation pipelines and observability frameworks, and provide feedback to Google's product roadmap. The role requires strong software development skills, experience with AI systems on cloud platforms, and familiarity with RAG and vector databases. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will integrate AI products with customer infrastructure, develop evaluation pipelines, and act as a feedback loop for product development. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer 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, with a feedback loop to product roadmaps. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves developing complex AI applications, architecting integrations, building evaluation pipelines, and identifying product feedback. | AgentEval Gate | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Forward Deployed Engineer for Google Cloud, focused on building and deploying bespoke agentic AI solutions within customer environments. This role involves managing the full lifecycle from prototyping to production, including integration, data readiness, state management, and evaluation. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud Google Cloud is seeking an AI Forward Deployed Engineer to act as an embedded builder, bridging frontier AI products with production-grade reality for customers. This role involves coding, debugging, and shipping bespoke agentic solutions within customer environments, managing integration complexities, data readiness, and state-management challenges. The engineer will also deploy complex AI systems, provide feedback to the product roadmap, and co-build with customer teams to instill best practices. | AgentEval Gate | 9 |
| Post-Doctoral Researcher, PhD, 2026 Start (Fixed-Term Contract) Post-doctoral researcher role focused on fundamental research and applied problems in AI/ML, with opportunities to contribute to products and services. The role involves formulating research projects, conducting research, publishing high-quality work, designing and executing large-scale experiments, and writing production-ready code using frameworks like JAX. Requires a PhD in a STEM field and research experience in ML/AI, with publications in top-tier AI conferences. | Pretrain | 9 |
| Engineering Analyst, Trust and Safety, Gemini and Labs This role focuses on architecting the approach to complex risks associated with AI, defining the strategic roadmap for model safety, anticipating future threats, and developing novel evaluation paradigms to influence product and research direction. The primary focus is on ensuring safety as a foundational component of AI systems, with a secondary involvement in fine-tuning techniques and classifier-based guardrails. | Eval GatePost-train | 8 |
| Forward Deployed Engineer, Generative AI, GECX, Google Cloud Forward Deployed Engineer for Generative AI on Google Cloud, focusing on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers. Responsibilities include end-to-end engineering, building Eval pipelines, and optimizing AI systems for scalability and security. | AgentEval Gate | 8 |
| Silicon RTL Design Engineer, PhD, Google Cloud This role focuses on designing and verifying custom silicon solutions (TPUs) for AI/ML hardware acceleration within Google Cloud. The engineer will shape the future of TPU technology by architecting, modeling, and designing next-generation TPUs, optimizing for performance, power, and cost, and collaborating with hardware, software, and ML teams for effective hardware/software codesign. Responsibilities include ML workload characterization, developing architecture specifications, RTL design, and utilizing AI techniques for physical design. | Serve | 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 |
| Product Manager, Workspace Search Product Manager for Workspace Search, focusing on improving search quality for human users and enabling agentic users to retrieve and utilize Workspace data. This role involves defining intelligent systems, developing APIs for agents, and driving the strategy for automated evaluation frameworks, working at the intersection of Search and AI. | AgentServe | 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 |
| AI Research Software Engineer, Code Search AI Research Software Engineer focused on empowering agents and engineers with efficient and intelligent code exploration capabilities. This role involves partnering with agent teams to create sub-agents, tools, and RAG solutions, researching new techniques for code exploration, integrating LLMs and RAG for natural language code search and chat agents, and improving the scalability of the Code Search platform. | AgentServe | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior Software Engineer, AI/ML role focused on leading the design, development, and deployment of AI-powered solutions for HR processes within Google's global workforce. The role involves technical leadership, architecting scalable AI/ML systems, driving algorithm development, owning the MLOps lifecycle, and collaborating with cross-functional partners to translate business needs into AI-driven roadmaps. | Serve | 8 |
| Software Engineer III, Full Stack, Cloud AI Software Engineer III role focused on building AI-powered conversational agents using Gemini and the Agent Development Kit (ADK) for emerging markets. The role involves designing and implementing agentic workflows to provide intuitive access to public services, with a focus on voice-enabled interfaces and low-connectivity environments. This position contributes to national-scale digital transformation by creating interoperable systems for various sectors. | Agent | 8 |
| AI/ML Infrastructure Software Engineer Software Engineer focused on building and maintaining the AI Flow Platform, a production service used by thousands of Googlers for various ML tasks including generative AI. The role involves developing end-to-end ML/AI features, incorporating prompt optimization, fine-tuning, and ML best practices into product development, and contributing to the platform's future direction. | ServePost-train | 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 |
| 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 |
| Student Researcher, 2026 Student Researcher role focused on foundational research and advancing the state of the art in AI systems for Google products. The role involves participating in research projects to develop solutions for real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 8 |
| Senior Forward Deployed Engineer, Cloud Applied AI Senior Forward Deployed Engineer for Google Cloud's Applied AI organization, focusing on designing, developing, and deploying AI agents and solutions for enterprise customers. The role involves close customer partnership, coding, custom tooling development, and providing feedback to core product teams. It requires experience with Generative AI concepts and ML infrastructure, aiming to scale AI adoption within the Google Cloud ecosystem. | Agent | 8 |
| Software Engineer III, GenAI, Google Cloud Software Engineer III, GenAI, Google Cloud, focusing on integrating Google Search and private data into LLMs for intelligent solutions on Vertex AI. Responsibilities include building grounding systems, improving LLM grounding algorithms, and developing search ranking improvements. Requires experience in GenAI, LLMs, and Agentic AI Systems. | AgentData | 8 |
| Senior Software Engineer, AI/ML Infrastructure Senior Software Engineer to work on an ML-as-a-service platform that enables Google product teams to build and launch GenAI-powered products. The role involves developing and maintaining production services, improving ML fleet efficiency, and implementing customer-requested ML/AI features, with a focus on prompt optimization, fine-tuning, and hyperparameter optimization. | ServePost-train | 8 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III role focused on enabling and optimizing foundational AI/ML models (LLMs, Diffusion) within Google Cloud infrastructure, specifically using frameworks like vLLM and MaxText. The role involves partnering with customers to measure model performance, identify technical bottlenecks, collaborate with infrastructure teams, and design specialized ML solutions. It requires experience with ML infrastructure, GenAI concepts, and debugging training/inference workloads. | ServeAgent | 8 |
| Senior Software Engineer, AI/ML, AI Garage Senior AI Software Engineer role focused on leading the design, development, and deployment of AI/ML systems for HR applications at Google. This role involves technical leadership, mentoring, collaboration, and driving the adoption of AI technologies to optimize HR processes and employee experiences. | Ship | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Ads Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Ads, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. Requires strong programming skills, experience with ML infrastructure, and a solid understanding of GenAI concepts. | Agent | 8 |
| Silicon RTL Design Engineer, PhD, Early Career This role focuses on designing and architecting next-generation Tensor Processing Units (TPUs) for AI/ML workloads. Responsibilities include defining architecture, developing power/performance models, RTL design, and collaborating with hardware, software, and ML teams for effective hardware/software co-design. The role also involves using AI techniques for physical design and optimizing silicon bring-up processes. | Serve | 8 |
| 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 |
| 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 |
| 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 |
| Silicon AI/ML DFT Engineer, Google Cloud This role focuses on Design for Testing (DFT) for AI/ML hardware acceleration, specifically Google's TPUs. The engineer will define, implement, and deploy DFT methodologies, ensuring silicon test strategies, reducing test cost, and increasing production quality. The role involves working with RTL, netlists, and collaborating with cross-functional teams on complex digital designs for next-generation SoCs powering AI/ML applications. | Serve | 7 |
| Staff Developer Experience Engineer, DeepMind This role focuses on developer experience and relations for DeepMind's GenAI product suite in India. The engineer will define and execute technical go-to-market strategies, build partnerships, influence product roadmaps based on regional insights, and act as a key liaison between core engineering teams and the Indian developer ecosystem. The role requires a strong technical background in AI/ML and experience with developer enablement. | ShipPretrain | 7 |
| Software Engineer III, AI/ML Software Engineer III, AI/ML at Google's Corp Eng team, focusing on building world-leading business solutions for internal Google use. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, data processing, model deployment, and model evaluation. | Serve | 7 |
| Software Engineering Manager, API Hub Google Cloud AI Research team is looking for a Software Engineering Manager to lead the engineering roadmap for the API Hub, transforming it into a repository for AI Assets like APIs, MCP Servers, and Agents. The role involves driving technical integrations, recruiting and mentoring engineering teams, and providing architectural guidance for cloud-native and AI-integrated systems. The ideal candidate will have experience managing engineering teams and architecting distributed systems, with a preference for experience in LLMs, Generative AI, and Agentic AI. | Agent | 7 |
| Staff Software Engineer, AI Garage Staff Software Engineer for the AI Garage team at Google, focusing on developing AI/ML systems and Agentic solutions within the HR domain. The role involves technical leadership, designing and building scalable Agentic systems, and collaborating with stakeholders to translate needs into technical solutions. Requires experience with Generative AI, Agentic AI, LLMs, and AI evaluations. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agent deployments. It requires experience in computational linguistics, building chatbots/voicebots, and NLP concepts. | Agent | 7 |
| Conversational AI Consultant This role involves building virtual agent solutions on Google's conversational AI platforms like Dialogflow, working with clients to implement contact center AI solutions, and proposing solution architectures for cloud-based virtual agents. The role requires experience in computational linguistics or software engineering, and building chatbots or voicebots. | Agent | 7 |
| Software Engineering Manager, Databases, Google Cloud Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management and AI-assisted troubleshooting for enterprise users. The role involves leading a team of engineers, contributing to product strategy, and overseeing the development and deployment of large-scale AI/ML features for various Google Cloud databases. | AgentServe | 7 |
| Staff Software Engineer, Play Games Discovery Staff Software Engineer at Google Play focused on building personalized experiences for gamers using AI/ML recommendations. The role involves technical ownership, leadership, and designing/implementing ML solutions, optimizing infrastructure, and guiding model optimization and data processing. Experience in personalization, search quality, ranking, and recommendation systems is required. | Ship | 7 |
| Technical Program Manager, Geo Data Technical Program Manager for the Geo team, focused on architecting and building Generative AI solutions for moderation, scalability, and efficiency. The role involves managing the generation of labels for model improvements, serving as a point of contact for global regulatory workflows, and overseeing end-to-end project lifecycles. Experience with LLMs, prompt engineering, and GenAI moderation frameworks is preferred. | DataPost-train | 7 |
| Senior Salesforce Architect, Go-to-Market, Google Play This role focuses on architecting and implementing generative AI features, LLM-based applications, and self-supporting agents on the Salesforce platform for Go-to-Market teams. The Senior Salesforce Architect will lead technical solutions, drive business automation, and partner with various teams to define technical strategy. | Agent | 7 |
| Product Manager, AI Garage Product Manager for Google's AI Garage, focusing on applying AI and agentic workflows to solve HR challenges for Google's global workforce. The role involves driving the product lifecycle from ideation to launch, collaborating with AI/ML engineers and data scientists, and translating user needs into product requirements. | Agent | 7 |
| Staff Software Engineer, Search Next Staff Software Engineer at Google, focusing on building transformative developer experiences for Search developers. The role involves working with AI for developers, building scalable platform systems for Search products, and potentially leveraging agentic frameworks and LLMs. Requires strong software development, design, and architecture experience, with a focus on ML infrastructure and deployment. | Ship | 7 |
| Senior Software Engineer, DevAI, Core Google is seeking a Senior Software Engineer to join the DevAI, Core team, focusing on building agentic solutions to automate code maintenance within Google3. This role involves designing, developing, and testing these solutions, partnering with distributed teams, and contributing to the Self-Maintaining Codebase (SMC) organization's goal of reducing code evolution costs and technical debt. | Agent | 7 |
| Engineering Manager Engineering Manager for Google Cloud's Access Intelligence team, focusing on building an intelligent security layer for IAM using machine learning and Generative AI to achieve 'Least Privilege' and 'Zero Standing Privileges'. The role involves leading a team, driving technical direction, and overseeing the development and deployment of scalable security features for Agentic AI. | Agent | 7 |
