Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to bridge the gap between AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. Responsibilities include technical mentorship, managing alignment with Product/Engineering/Sales, resolving production-level obstacles (data readiness, integration, state-management), leading technical hiring, identifying skill gaps in emerging tech (MCP, tool-calling, foundation models), and collaborating with product/engineering to translate field insights into roadmaps.

Senior Staff Forward Deployed Developer role focused on applying Google's Generative AI to customer problems, building and deploying AI agents on the Customer Engagement Suite platform. Responsibilities include understanding customer needs, designing and co-developing AI solutions, creating reusable tools, and optimizing ML infrastructure.

Product Manager role focused on developing and shipping AI systems, specifically science agents, that accelerate scientific discovery. The role involves bridging frontier research with product development, identifying impactful applications, and incubating new agentic capabilities. It requires technical depth, experience with LLMs, and familiarity with agent evaluation frameworks.

Lead an engineering team building an agent platform for an AI-first organization, focusing on orchestration, tool use, and sandboxing. This role involves significant technical contribution (30-50% coding) and team leadership, aiming to scale intelligent workflows.

This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases.

Staff Software Engineer at Google DeepMind's Inception group, focused on building AI-powered interactive experiences for games. The role involves designing and implementing generative models and agentic workflows into game mechanics, leading integration of streaming models into game engines, and architecting 0-to-1 systems. Requires strong technical leadership, game tech R&D experience, and experience with AI/ML integration.

This role is for a Senior Software Engineering Manager at Google's Cloud Applied AI team, focusing on developing AI customer support agents. The manager will lead a team, define technical roadmaps, and work with customers and partners to build and deploy generative AI solutions for chat and voice interfaces. The role requires strong technical leadership, people management, and experience with GenAI techniques and ML infrastructure.

Staff Software Engineer role focused on building and deploying AI agents for enterprise customers within Google Cloud. The role involves direct customer partnership, co-development, and contributing to core product codebases, with a strong emphasis on taking product ideas from conception to full-scale production rapidly. Responsibilities include technical guidance on agent improvement, performance tuning, and CI/CD pipelines.

Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs.

Staff Software Engineer role focused on applying Generative AI and Machine Learning to solve real-world customer problems within Google Cloud. The role involves driving experiments, partnering with product/engineering teams and customers, and contributing to building practical solutions. Requires significant experience in ML design, infrastructure, training, and evaluation, with a focus on generative AI applications.

Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans.

Senior Software Engineer focused on building and deploying custom conversational AI agents for enterprise customers on Google Cloud's Customer Engagement Suite. This role involves direct customer partnership, designing, developing, and optimizing AI solutions, and contributing to core product improvements. The role emphasizes problem-solving, creating reusable tools, and potentially optimizing ML infrastructure and data processing.