Field Solutions Architect, Google Cloud

Minimum qualifications:

• Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
• 7 years of experience working as a technical sales engineer or in software engineering.
• Experience delivering technical presentations and leading business value sessions.

Preferred qualifications:

• Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.
• Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.
• Experience in systems design, with the ability to architect and explain data pipelines.
• Understanding of nearest neighbor search concepts.

As a Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s technology with customers, large enterprises, and early-stage startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure.

In this role, you will identify, assess, and develop 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 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.

• Advise Google customers by understanding their business process and objectives. Architect spanning Data and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
• Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.