Applied Solutions Architect, Google Cloud (Korean, English)

소개

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers.

주요업무

• Own the technical relationship with partners, empowering them to drive a successful pilot or proof of concept, support partners drive toward customer acceptance of the technical proposal, leading to an agreement, and work with partners during the migration phase to assure they have all the tools necessary to deliver a successful deployment. • Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness. • Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP) • Establish and promote innovative best practices and methodologies for AI-driven solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.

자격요건

• Bachelor's degree in a technical field or equivalent practical experience. • 6 years of experience with cloud native architecture in a customer-facing or support role. • Experience architecting AI systems on cloud platforms. • Experience building full-stack solutions that interface with enterprise systems. • Experience engaging with, or presenting to, technical stakeholders or executive leaders. • Ability to communicate in English and Korean fluently to support client relationship management in this region.

우대사항

• 7 years of experience in cloud computing, with a specialized focus on machine learning architecture, software development and model deployment in a customer-facing or consulting role. • Experience managing stakeholder expectations and building consensus around complex AI initiatives, including navigating discussions on model ethics, bias, and return on investment. • Understanding of the AI/ML landscape, including familiarity with model evaluation frameworks, prompt engineering, and the integration of third-party foundational models. • Ability to translate ambiguous customer requirements into actionable AI roadmaps, defining the technical architecture for fine-tuning, Retrieval-Augmented Generation (RAG), and custom model development.

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