Field Solutions Architect, Generative AI, Google Cloud (English, Korean)

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience.
• 6 years of experience as a technical sales engineer in AI/ML, or in a software engineering role.
• Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience delivering technical presentations and leading business value sessions.
• Experience in Generative AI as a developer.
• Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with the local stakeholders.

Preferred Qualifications:

• Experience in designing and deploying multi-agent architectures with Agent Development Kit (ADK), and integrating next-gen Generative AI models (e.g., Gemini, Imagen, Veo) to build dynamic applications.
• Experience with core search concepts like indexing and query rewriting.
• Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
• Understanding of implementation and optimized Retrieval-Augmented Generation (RAG) models using both first-party and open-source models.
• Ability to travel up to 20% of the time.

About The Job

As a Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s Artificial Intelligence/Machine Learning (AI/ML) and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators Tensor Processing Unit/Graphics Processing Unit (TPU/GPU).

In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and help to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of offerings.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Advise customers by understanding their business processes and objectives. Architect AI-driven solutions spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack in the overall architecture.
• Work with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, benchmarking, and troubleshooting to find solutions to issues in Generative AI applications.
• Build repeatable technical assets such as scripts, templates, reference architectures, to enable other customers and internal teams.
• Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and Artificial Intelligence/Machine Learning (AI/ML) by advocating for enterprise customer requirements.