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 |
|---|---|---|
| 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 |
| Forward Deployed Engineer, Google Cloud Forward Deployed Architect for Google Cloud's Generative AI team, focused on building and deploying reference agentic solutions for enterprise customers. This role involves integrating AI models with customer infrastructure, addressing data readiness and state management, and developing evaluation and observability frameworks. The position also acts as a feedback loop to the product roadmap. | AgentServe | 8 |
| Senior Software Engineer, Generative AI Senior Software Engineer role focused on implementing and deploying Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, involving design, development, testing, and maintenance of AI solutions. | AgentServe | 8 |
| Senior Software Engineer, Generative AI, Google Ads Senior Software Engineer role focused on building Generative AI and agentic solutions for the Google Ads Ask Advisor platform. This role involves leveraging LLM orchestration, multimodal streaming, and Ads data signals to create autonomous AI capabilities for advertiser support. The work is high-visibility, involves collaboration with Google DeepMind, and aims to scale AI solutions directly to advertisers and the Google Ads Sales organization. | Agent | 8 |
| Forward Deployed Engineer, Gen AI, Google Cloud Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. Acts as a feedback loop to product roadmap and deploys AI systems. | AgentEval Gate | 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 |
| Group Product Manager, Maps Agentic Capabilities and Experiences Group Product Manager for Google Maps, focusing on driving the product strategy and roadmap for agentic AI capabilities and experiences. The role involves taking complex AI concepts from 0-to-1 launch, defining features that transform user interaction with the physical world through Maps, and building reliable agentic frameworks. Requires strong product management experience, AI fluency, and the ability to ship AI models or applications at scale. | Agent | 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 |
| Software Engineering Manager, Organizational Engineering, DeepMind Software Engineering Manager at DeepMind to lead the design and deployment of scalable full-stack solutions and AI-powered platforms for measuring the intelligence of AI agents. Responsibilities include creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. The role requires strong software engineering foundations and leadership experience. | AgentEval Gate | 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 Architect, Generative AI, Google Cloud The Generative AI Forward Deployed Architect will act as an embedded builder for Google Cloud, developing and providing reference agentic solutions for enterprise customers. This role involves bridging the gap between frontier AI and customer infrastructure, addressing integration, data readiness, and state-management issues. Responsibilities include architecting and developing reference prototypes, building evaluation pipelines and observability frameworks for agentic systems, and translating field insights into product feature requests. The role requires experience with production-grade solutions, data pipelines, RAG, vector databases, and ensuring data sovereignty and model governance. | AgentServe | 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 |
| 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 |
| Research Engineer, Security and Privacy, DeepMind Research Engineer at Google DeepMind focused on building security and privacy solutions for AI agents, specifically addressing prompt injections and contextual security vulnerabilities. The role involves developing classifiers and policy engines, and working with product teams to integrate these solutions. The position emphasizes research, publication, and contributing to the broader AI community. | 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 I, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers on Google Cloud. This role involves architecting, coding, and optimizing AI systems, including multi-agent systems and RAG, while also building evaluation pipelines and observability frameworks. | AgentEval Gate | 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 |
| Forward Deployed Engineer II, Applied AI, Google Cloud (English, Portuguese) Forward Deployed Engineer II for Google Cloud's Applied AI team, focusing on transforming conversational AI prototypes into production-ready, scalable, and secure agentic workflows for enterprise customers. This role involves end-to-end engineering, building Eval pipelines, and collaborating with customer teams. | 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, Generative AI, Google Cloud Forward Deployed Engineer III for Google Cloud's Generative AI team, focusing on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers. This role involves end-to-end engineering, MLOps, cloud infrastructure, and customer-facing technical delivery. | AgentServe | 8 |
| Forward Deployed Engineer II, Applied AI, Google Cloud Forward Deployed Engineer II, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers. Responsibilities include leading the end-to-end engineering lifecycle, architecting conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and identifying field patterns to improve the AI stack. Requires experience with software development, cloud platforms, and deploying resources via tools like Terraform. Preferred qualifications include experience with multi-agent systems, RAG, and troubleshooting live systems. | 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 |
| Software Engineer III, Generative AI, Agent Engineering Software Engineer III, Generative AI, Agent Engineering role focused on applying Google's Generative AI to solve real-world challenges for strategic customers. The role involves building, deploying, and optimizing AI agents on the CES platform, acting as a specialized software engineer embedded with key accounts. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing feedback to core product teams. The role also involves systematizing learnings into reusable tools and best practices, and guiding customers on agent performance and production readiness. | Agent | 8 |
| Software Engineer, Content Safety Software Engineer focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, for Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training and evaluation workflows, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on ensuring product safety and responsible AI principles. | AgentData | 8 |
| Senior Software Engineer, Generative AI, Core ML Senior Software Engineer role focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure for agents, including knowledge stores and self-reflection modules, to enable autonomous learning and improvement. Responsibilities include applying design principles to transition logic from prompts to code-based workflows, scaling automated prompt optimization, and implementing safety enforcements for agent reliability. The goal is to bridge the gap between prototypes and scalable production infrastructure for generative AI agents. | AgentServe | 8 |
| Technical Program Manager, Agentic Capabilities and Product Integration, DeepMind Technical Program Manager at Google DeepMind responsible for bridging core AI research with product integration, focusing on agentic capabilities and features. The role involves scoping, planning, and delivering complex technical programs, leading cross-functional collaborations, managing dependencies and risks, and evaluating API designs and agentic workflows to drive product launches. | Agent | 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 |
| Forward Deployed Architect Manager, Generative AI, Google Cloud Manager for a Generative AI Forward Deployed Architect team in Google Cloud, responsible for leading architects in deploying bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment, and resolving production-level obstacles related to AI maturity. Key responsibilities include setting technical standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tools, and collaborating on roadmaps and internal tools. | Agent | 8 |
| Forward Deployed Engineering Manager, Gen AI 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, strategic alignment with Product, Engineering, and Sales, and resolving production-level obstacles like data readiness, integration, and state management. The role involves leading technical hiring, identifying skill gaps in emerging AI tech, and collaborating with product/engineering to translate field insights into roadmaps. | 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 |
| Staff Software Engineer, Deep Data Research, Applied AI Staff Software Engineer for Google's Applied AI team, focusing on building and scaling conversational AI agents for enterprise customers. The role involves driving technical strategy, architecture, and execution for large-scale AI platforms, collaborating with model builders, and delivering new capabilities with agility. | Agent | 8 |
| Software Engineer, Android/Chrome, Security Infrastructure Software Engineer role focused on building AI-driven tooling and agents to enhance the supply chain security of Android, Chrome, and ChromeOS. The role involves developing solutions for source code trust, build integrity, infrastructure hardening, and third-party risk management, with a focus on detecting suspicious patterns and automating security processes. | Agent | 8 |
| Senior Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Senior Software Engineer role focused on Generative AI for creative optimization in YouTube Ads. The role involves developing machine learning models and infrastructure for creative generation and optimization, working with GenAI and ML models to create novel ad formats and experiences. It requires experience in software development, ML infrastructure, and GenAI techniques. | AgentPost-train | 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 |
| Forward Deployed Engineer, Applied AI, Google Cloud This role focuses on taking conversational AI prototypes and transforming them into production-ready, scalable, and secure AI systems for enterprise customers. The FDE will lead technical delivery for Conversational AI pilots, establish customer user journeys, and architect/code agentic workflows, evaluation pipelines, and observability frameworks. The role requires strong software engineering, ML operations, and cloud infrastructure skills, with an emphasis on building full-stack applications that integrate with enterprise IT. | AgentServe | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship and strategic alignment with Product, Engineering, and Sales leadership. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. This role involves end-to-end engineering, architecting agentic workflows, developing evaluation pipelines, and ensuring best practices. | AgentServe | 8 |
| Senior Product Manager, Cloud AI, Gemini API Senior Product Manager for Google Cloud's Gemini API, focusing on next-generation agentic capabilities. The role involves bridging research breakthroughs with developer-friendly abstractions for the Gemini Enterprise Agent Platform, targeting enterprise developers with a focus on compliance and controls. Responsibilities include defining product strategy for agents, improving developer tools for building and governing agents, evolving the Interactions API, and leading product lifecycle from 0-to-1 launches. | Agent | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (English, Korean) Manager of a GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy agentic solutions within customer environments. Focuses on technical mentorship, strategic alignment, and resolving production obstacles using Google's AI portfolio and Vertex AI platform. | Agent | 8 |
| Forward Deployed Engineer, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers on Google Cloud. The role involves leading technical delivery for Conversational AI pilots, architecting agentic workflows, building evaluation pipelines, and collaborating with customer engineering teams. | AgentServe | 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 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of a GenAI Forward Deployed Engineering (FDE) team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales, and resolving production-level obstacles for AI adoption in enterprise settings. | AgentServe | 8 |
| Forward Deployed Engineering Manager, Gen AI, 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. The role involves technical mentorship, strategic alignment with Product, Engineering, and Sales leadership, and resolving production-level obstacles related to AI adoption. | Agent | 8 |