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 |
|---|---|---|
| Lead GenAI Forward Deployed Engineer, YouTube Google is seeking a Lead GenAI Forward Deployed Engineer for their YouTube AI Accelerator team. This role focuses on driving AI transformation for YouTube's business operations by redesigning workflows and deploying applied AI solutions. The engineer will build GenAI PoCs, lead the delivery of complex AI applications from prototype to production, and act as a trusted engineering partner. Responsibilities include authoring technical designs, writing code, building front-ends, and developing high-performance eval pipelines and observability frameworks to address AI bottlenecks. | AgentEval Gate | 8 |
| ML Software Engineer, GenAI for Youth ML Software Engineer focused on building scalable, responsible AI frameworks for youth-focused products. The role involves developing unified infrastructure, algorithmic steering, and automated validation layers to bridge foundational research with production environments, operating across global product lines and acting as a technical advisor. |
| Post-trainServe |
| 8 |
| Software Engineering Manager II, AI/ML, Google Cloud Compute Software Engineering Manager II for Google Cloud Compute, responsible for leading teams, setting technical vision, and overseeing the design and implementation of ML solutions, including ML infrastructure optimization and model development strategies. Requires strong software development and ML experience, with a focus on leadership and people management. | ServeData | 8 |
| Senior Software Engineering Manager, Agentic Platform, Cloud Security Manage a team of engineers building a Security Agentic Platform for Google Cloud Security Operations, enabling security agents and protecting organizations worldwide. The role involves technical leadership, team management, and overseeing the end-to-end development lifecycle of AI-driven agentic security solutions. | Agent | 8 |
| Senior Staff Model UX Designer, GeminiApp, DeepMind Senior Staff Model UX Designer for Gemini App at DeepMind, focusing on shaping conversational AI experiences from passive responders to proactive partners. The role involves collaborating with PMs, engineers, and researchers to build end-to-end product experiences, guide prompt engineering, initiate qualitative assessments of model performance, and craft multimodal solutions. Requires deep understanding of model capabilities and the eval process, with a focus on user engagement and product innovation in generative AI. | Agent | 8 |
| Staff Software Engineer, Generative AI Staff Software Engineer focused on bringing the performance of LiteRT-LM to agentic systems, building infrastructure for local LLMs, and enabling their use in first-party and third-party products. This involves full-stack development, API servers, agent harnesses, integration tests, and evals. | AgentServe | 8 |
| Software Engineer, AI/ML, Google Research Software Engineer role at Google Research focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in specialized ML areas like speech/audio, reinforcement learning, or ML infrastructure, with a focus on model deployment, evaluation, optimization, and data processing. | ServeData | 8 |
| Senior Software Engineer, Generative AI, Core ML This role focuses on engineering and productionizing AI agents, building horizontal infrastructure for their autonomous learning and improvement, and scaling optimization tools to address the 'GenAI engineering gap'. The goal is to transform agent development into an engineering discipline for high-quality, reliable, and efficient agents. | AgentServe | 8 |
| Senior Silicon System and Software Integration Engineer, Google Cloud This role focuses on the hardware-software integration and validation of AI/ML accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications. | Serve | 8 |
| Surfaces Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for Gemini's mobile assistant, specifically for multimodal and voice interactions. The designer will work with advanced AI models to refine responses, optimize context switching, and ensure intuitive and reliable user interactions. Responsibilities include defining conversational structures, implementing system instructions, and conducting qualitative assessments of model performance. The role requires experience in conversational AI/LLMs and designing for multimodal and voice entry points. | Agent | 8 |
| Software Engineering Manager II, AI/ML, Google Cloud Software Engineering Manager II for Google Cloud, focusing on AI/ML. This role involves technical leadership, people management, setting team priorities, developing roadmaps, designing systems, and leading the implementation of ML solutions, including ML infrastructure optimization, model optimization, and data processing strategies. Requires significant experience in software development, ML infrastructure, and technical/people leadership. | ServeData | 8 |
| Senior Product Manager, Gemini Cloud Assist Lead product strategy for an enterprise Agent Platform and Agent Registry, focusing on secure discovery, management, and auditing of AI agents, tools, and skills. The role involves building foundational platform components for memory, tool orchestration, and governance frameworks like agent identity, secure gateways, and guardrails to enable enterprises to securely build, deploy, and govern autonomous AI agents at scale. | Agent | 8 |
| Director, Product Management, SecOps Detections, Google Cloud Security The Director of Product Management will lead the product vision for Google SecOps detection capabilities, focusing on AI/ML integration to create an autonomous SOC. This role involves collaborating with AI researchers and security engineers to develop dynamic detection models, design automated workflows using Generative AI, and integrate advanced ML capabilities into massive telemetry streams for enterprise customers. | AgentPost-train | 8 |
| Director, Product Management, SecOps Responses, Google Cloud Security Product Management Director for an AI-powered security platform, focusing on autonomous threat remediation and Generative AI-driven response strategies within Google Cloud Security. The role involves leading product vision, harnessing LLMs for incident synthesis and remediation plan generation, and building intelligent orchestration workflows for proactive threat containment. | Agent | 8 |
| Staff Software Engineer, Search Agentic Ecosystem Platform Staff Software Engineer to build the foundational platform for Google Search's Agentic Ecosystem, enabling AI Mode and Gemini to interact with third-party services for task completion. The role involves architecting core infrastructure, building use cases, ensuring cross-platform compatibility, and providing technical leadership. | Agent | 8 |
| Staff Software Engineer, Gemini Enterprise Staff Software Engineer role at Google focused on building the backend infrastructure and services for Gemini Enterprise, an AI platform for enterprise data. The role involves architecting orchestration layers for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver solutions for Cloud customers. Experience with C++, Java, Python, Go, software design, architecture, and integrating Generative AI tools is required. | AgentServe | 8 |
| Senior Staff Software Engineer, Gemini Enterprise Senior Staff Software Engineer role focused on building the core backend infrastructure and services for Gemini Enterprise, an AI platform for generative search, assistant, and agent applications over enterprise data. The role involves architecting orchestration layers and frameworks for LLMs and agentic workflows, integrating Generative AI tools, and partnering with cross-functional teams to deliver high-impact solutions for Cloud customers. | AgentServe | 8 |
| Staff Software Engineer, Cloud AI Staff Software Engineer for Google Cloud's Gemini Enterprise, focusing on backend infrastructure, orchestration layers for LLMs and agentic workflows, and platform features. The role involves integrating Generative AI tools and LLM interfaces into enterprise solutions, partnering with cross-functional teams to leverage Google's AI models and GCP technologies for Cloud customers. | AgentServe | 8 |
| Software Engineer, ML Fleet Intelligence Software Engineer, ML Fleet Intelligence at Google, focused on applying AI/ML to predict, detect, and mitigate hardware and software faults across a global fleet of data centers and ML TPUs. This role involves leveraging large-scale data, optimizing ML infrastructure, and building automated systems to ensure reliability and uptime. | AgentServe | 8 |
| Senior Software Engineer, AI/ML GenAI, Core Senior Software Engineer focused on designing and implementing GenAI solutions, leveraging ML infrastructure, and evaluating tradeoffs between different techniques. The role requires experience with Python/C++, software design, ML infrastructure, and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. | Agent | 8 |
| Silicon System and Software Integration Engineer, TPU Cloud This role focuses on the integration and validation of AI/ML hardware accelerators (TPUs) for Google's cloud infrastructure. The engineer will work on ASIC development, firmware, RTL, and software integration to ensure the functionality and performance of these chips, which power Google's AI/ML applications and services. | Serve | 8 |
| Software Engineer III, AI/ML, Proxybidder ML Software Engineer III on the Proxybidder ML team at Google, responsible for the full machine learning model lifecycle including design, training, deployment, and serving in production for Google Ads. The role involves innovating on model design, analyzing experiments, enhancing model health, and collaborating with research and infrastructure teams. Requires experience with Python, C++, mathematical modeling, and ML infrastructure, with a focus on low-latency production systems. | ServePost-train | 8 |
| 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 |
| Software Engineer III, Generative AI, Agentic Ecosystem Platform Software Engineer III on the Agentic Ecosystem team at Google, focusing on building the platform that connects AI models to external systems using the Model Context Protocol (MCP). The role involves designing and implementing core infrastructure for agentic integrations, building features with generalist models, and ensuring surface-agnostic code components across Search, Gemini, and Geo. Requires experience with GenAI techniques, large-scale infrastructure, and ML infrastructure. | 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 |
| Senior Engineering Manager AI Inference Platform, Distributed Cloud Senior Engineering Manager for AI Inference Platform, Distributed Cloud. Role focuses on architecting and optimizing the serving stack for models like Gemini in an on-prem cloud environment, improving speed, efficiency, and cost-effectiveness. Responsibilities include leading a team, defining technical vision for the LLM serving stack, overseeing performance analysis and benchmarking, and driving the design/implementation of advanced serving architectures. | Serve | 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 |
| Research Engineer, Robotics Applications, DeepMind Research Engineer at Google DeepMind focused on applying AI, specifically LLMs/VLMs, to robotics applications. The role involves benchmarking models on robot hardware, building demo tasks, and serving as a technical point-of-contact for testers, feeding insights back to the research team. This position bridges the gap between core AI research and real-world product deployment in robotics. | ShipAgent | 8 |
| Senior Software Engineer, AI/ML, Creative Intelligence Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems within the advertising product space. | ShipPost-train | 8 |
| Senior Staff Software Engineer, Search Discover Feed Recommendation Infrastructure Senior Staff Software Engineer role focused on leading the architectural work for integrating GenAI capabilities into Google Search's Discover Feed recommendation infrastructure. The role involves evolving the platform into an intelligent, GenAI-powered engine for deep personalization, supporting both offline generation and real-time inference, and optimizing serving latency and infrastructure capacity for billions of users. | ShipServe | 8 |
| Software Engineering Manager II, AI/ML GenAI, Google Cloud Compute Software Engineering Manager II for Google Cloud Compute, focusing on AI/ML GenAI. This role involves technical leadership, team management, and guiding the design and optimization of GenAI solutions, ML infrastructure, and data/model strategies. The position requires significant experience in software development, ML infrastructure optimization, technical leadership, and GenAI techniques. | ServePost-train | 8 |
| Staff AI Product Designer, Automation, GeminiApp, DeepMind Staff UX Lead for Gemini's 'Connected apps' experience, focusing on architecting interaction models for agentic AI and end-to-end user experiences that enable autonomously productive AI. The role involves designing for personal context, probabilistic systems, and modern AI workflows, with a strong emphasis on user obsession and ethical AI. | 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 |
| Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo Senior Staff Engineering Analyst Manager for Gemini, NanoBanana, and Veo, focusing on AI model mitigations and post-training. This role involves leading a team, pioneering safety technologies, driving cross-functional alignment, directing launch strategies for foundational models, and applying data science to audit model safety and uncover vulnerabilities. | Post-train | 8 |
| Engineering Manager, GenAI, Google Maps Immersive Navigation Engineering Manager for GenAI in Google Maps Immersive Navigation. This role involves leading a team to build and scale a 3D navigation map using sensor data, large ML models, and AI techniques to create new geospatial data and user experiences. The manager will own the conversion of complex data into precise geometries, set team priorities, develop technical roadmaps, and guide system designs. | ShipData | 8 |
| ML Chip/IP Architect, DeepMind This role focuses on defining the top-level SoC architecture and chiplet strategy for next-generation Machine Learning (ML) accelerators. The individual will lead the architecture and design of the chip top-level, manage interfaces, clocking, power, and integration of IP blocks, and architect specific accelerator components. Collaboration with micro-architecture, physical design, systems, and software teams is crucial to ensure a feasible and optimal design meeting product requirements. | Serve | 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 |
| 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 |
| Senior Product Manager, Science AI, Google Research Product Manager for Science AI at Google Research, focusing on leading the development of GenAI tools to accelerate scientific discovery and drive a flagship AI coding product. The role involves defining product strategy, working cross-functionally with engineering and UX, and launching AI-enabled scientific innovations. | Ship | 8 |
| Product Manager, Gemini API Models, DeepMind Product Manager for Gemini API Models at Google DeepMind, focusing on the end-to-end lifecycle of AI models from early access to general availability. The role involves advocating for developers, defining release parameters, influencing API design, establishing feedback loops, and shaping model roadmaps to ensure successful adoption and impact of Gemini models for millions of developers. | ShipPost-train | 8 |
| Software Engineer, Generative AI, Maps Software Engineer role focused on implementing Generative AI solutions within Google's Geo (Maps) products. The role involves writing product/system code, collaborating with peers, triaging issues, and utilizing ML infrastructure for data preparation, optimization, and performance enhancements. Requires experience with state-of-the-art GenAI techniques like LLMs, Multi-Modal, and Large Vision Models, as well as ML infrastructure and computational geometry. | Ship | 8 |
| Staff AI/ML Software Engineer, YouTube Ads Creative Foundational Infrastructure Staff AI/ML Software Engineer for YouTube Ads Creative Foundational Infrastructure. This role involves architecting, scaling, and steering next-generation infrastructure for AI/ML applications, specifically focusing on creative generation and optimization. Responsibilities include defining the technical roadmap, designing distributed systems for GenAI and media processing, building experiment and learning infrastructure, and partnering with various teams to align infrastructure with business goals. | ServeAgent | 8 |
| Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind Lead Software Engineer focused on quality and engineering productivity for robotics AI, responsible for scaling software releases, AI model validation, testing environments, and system reliability to accelerate AGI development in the physical world. | ShipEval Gate | 8 |
| Senior Software Engineer, AI Interactions, XR Senior Software Engineer role focused on building AI-powered interactions for next-generation XR devices, specifically smart glasses and VR headsets. The role involves architecting and implementing multimodal AI features, collaborating with cross-functional teams, and evaluating technologies to enhance user experiences with AI and XR convergence. | Agent | 8 |
| Software Engineer, AI/ML, Google Workspace Software Engineer role focused on developing and implementing machine learning solutions for Google Workspace products, including Generative AI agents and LLM applications. The role involves working with researchers and engineers to build next-generation productivity tools, leveraging ML infrastructure, and optimizing models. | AgentPost-train | 8 |
| Senior Software Engineer, AI/ML, Google Workspace Senior Software Engineer to deliver and develop machine learning technologies for Google Workspace products (Gmail, Chat, Calendar). This role involves collaborating with researchers and product managers to build AI-powered productivity tools, focusing on generative AI agents and LLM applications, with a direct impact on billions of users. | ShipPost-train | 8 |
| Senior Design and Integration Engineer, Cloud TPU The role focuses on the design, integration, and verification of Google's next-generation Tensor Processing Units (TPUs), which are custom-built accelerators for AI and machine learning workloads. The engineer will work on microarchitecture, digital logic design, and optimization for performance, power, and area, collaborating with cross-functional teams to deliver cutting-edge hardware for AI/ML applications. | Serve | 8 |
| Senior Security Engineer, AI/ML, National Security, Public Sector Senior Security Engineer focused on securing AI/ML infrastructure, particularly LLM deployments, for Google Public Sector. Responsibilities include architecting secure deployments, protecting model weights and data, mitigating AI-specific threats, and developing automated defenses. Requires experience with AI/ML development, infrastructure, containerization, and Python, along with a Top Secret/SCI security clearance. | ServeAgent | 8 |
