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 III, Applied AI, Google Cloud Forward Deployed Engineer III, Applied AI, Google Cloud. Role focuses on transforming conversational AI prototypes into production-ready, end-to-end engineered solutions for customers. This involves leading technical delivery for Conversational AI pilots, architecting and coding agentic workflows, building evaluation pipelines and observability frameworks, and ensuring customer success with Google's AI portfolio and Vertex AI platform. Requires strong software engineering, MLOps, and cloud infrastructure skills, with an emphasis on multi-agent systems, RAG, and optimizing inference. | AgentServe | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud is an embedded builder responsible for developing and deploying production-grade agentic AI solutions within partner and customer environments. This role bridges the gap between AI prototypes and reality by coding, debugging, and shipping bespoke solutions, addressing integration, data readiness, and state management challenges. The FDE also builds evaluation pipelines and observability frameworks, acts as a feedback loop to Google's product roadmap, and helps partners build their own agentic delivery capabilities, focusing on ROI and customer success. |
| AgentEval Gate |
| 9 |
| Staff Research Engineer, Applied AI, DeepMind Research Engineer to lead development and deployment of novel applications using Google's generative AI models. Focus on rapidly developing new features, collaborating with partner teams, and delivering solutions to maximize impact for Google and its customers. Role involves translating AI research into real-world products, demonstrating model capabilities, and scaling products from concept to production in fast-paced, early-stage environments. | AgentPost-train | 9 |
| Senior Software Engineer, Acceleration Platform Senior Software Engineer role focused on architecting and building AI-native agentic systems to automate developer tasks. The role involves leading the design of multi-agent networks, integrating LLM orchestration and RAG pipelines, establishing AI quality and safety standards, and developing evaluation frameworks and debugging tools. It emphasizes technical leadership, mentorship, and driving AI engineering excellence in complex, ambiguous initiatives. | AgentEval Gate | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud (Thai) Forward Deployed Engineer for GenAI on Google Cloud, focused on building and deploying bespoke agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing challenges in data readiness and state management. It also includes building evaluation pipelines and observability frameworks, and providing feedback to product teams. | AgentEval Gate | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud (Korean, English) 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, and resolving production-level obstacles related to data readiness, integration, and state management. The role involves leading hiring, identifying skill gaps, and collaborating with Product and Engineering to translate field insights into roadmaps. | Agent | 8 |
| Software Engineer, Content Safety Software Engineer role focused on building and scaling content safety systems, including classifiers, vector databases, and multimodal models, to protect Google's products and GenAI experiences. The role involves developing production-grade distributed systems, managing model training/evaluation/productionization, and implementing agentic workflows for threat detection. It requires experience in core ML domains and ML infrastructure, with a focus on responsible AI principles and operational standards. | AgentData | 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 |
| 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 |
| 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 |
| 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 |
| 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, 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 |
| 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 |
| 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 |
| Software Engineer, Android Trust Software Engineer role focused on protecting Android users from abusive apps by developing and scaling analysis platforms, implementing system-level code for deep inspection, and architecting defense strategies for agentic AI threat models. The work involves supervised/unsupervised ML and generative AI for security violations, static/dynamic program analysis, and threat mitigation. | Agent | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, resolving technical blockers, and identifying new AI use cases. Requires experience with AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Software Engineer, Information Security Engineering Software Engineer role focused on developing agentic tooling and systems for information security at Google. The role involves automating security processes, analyzing risks, detecting vulnerabilities, and assisting developer teams in embedding security best practices. Key responsibilities include collaborating on AI agent development, steering the strategic development of agents and infrastructure for vulnerability handling, and implementing Go back-end systems and Python AI agents. | Agent | 7 |
| Technical Program Manager, Network Solutions and Automation Technical Program Manager focused on leading the end-to-end technical strategy, design, and delivery of internal tools, automation frameworks, and intelligent agents (AI/LLM-driven) for network infrastructure challenges. The role involves collaborating with technical teams to identify and automate manual network operations. | Agent | 7 |
| Senior Security Engineering Manager, Enterprise Security AI This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data against AI-related risks. The team will develop novel approaches and manage AI-motivated automation for agentic AI workflows, ensuring compliance and security posture as AI adoption accelerates. | Agent | 7 |
| Software Engineer III, Enterprise Data Protection Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats. | Agent | 7 |
| Security Engineer II, Enterprise Security AI Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations. | Agent | 7 |