Join Google Cloud's AI Research team to develop cutting-edge AI solutions that address complex challenges across various industries. This role focuses on building and securing global gateway infrastructure that transforms enterprise APIs into valuable digital assets. The team is dedicated to advancing the state-of-the-art in AI and collaborating with product teams to deliver real-world impact.

Your work will directly contribute to innovations in AI for tech, healthcare, finance, retail, and more. We emphasize scientific rigor and aim to share our findings with the broader research community while driving tangible benefits for our customers.

Lead the design and development of core features for a repository of APIs, Model Context Protocol (MCP) Servers, and Agents. Build highly scalable, distributed systems to automate asset discovery via deep integrations with API Gateways and Google Cloud Platform (GCP) Agent Cloud. Develop essential interfaces and schemas for AI Agent consumption of organizational assets. Champion high engineering standards through rigorous design and code reviews, and by implementing best practices in cloud-native development. Provide technical leadership and mentorship to junior and mid-level engineers, addressing complex technical challenges and enhancing system reliability.

Possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. Bring at least 8 years of experience in general-purpose programming languages such as Java, C++, or Python. Demonstrate expertise with Large Language Models (LLMs), Generative AI, Agentic AI frameworks, and RAG systems. Have a strong background in software development, including the design and implementation of distributed systems or cloud-native infrastructure. Preferred qualifications include 5 years of experience in product testing or launching, with 3 years in software architecture, and the ability to translate ambiguous requirements into scalable technical architectures.