Engineering Director, Google Cloud

Responsibilities: Set strategic direction for Google Cloud-native engineering programs across AI-enabled development and testing Lead client discussions to shape solution roadmaps, delivery priorities, and modernization approaches Oversee multiple software engineering efforts from requirements through architecture, build, test, and deployment Drive development of generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation Govern prompt engineering, LLM evaluation, LLM guardrails, and LLMOps practices Translate business needs into scalable cloud-native applications using Python, agent orchestration, vector databases, and digital tooling Advance AI-human collaboration patterns for enterprise use cases through rapid experimentation and iterative design Advise on architecture decisions balancing performance, maintainability, and modernization across cloud and software platforms Build executive-level client relationships while identifying new opportunities for cloud engineering and generative AI programs Coach delivery teams and cultivate technical leadership across engineering, testing, and AI solution design

Key requirements: Bachelor’s degree or higher 9+ years of experience Leading Google Cloud native development and testing initiatives Experience building cloud-native applications across full development lifecycles Knowledge of Generative AI, LLMOps, and prompt engineering Proficiency with Python, LangChain, LangGraph, and Vertex AI Ability to drive client-facing solution design and business growth Mentoring and developing delivery teams through rapid experimentation and innovation leadership and strategic thinking client-facing communication stakeholder management Google Cloud native development Vertex AI LangChain