Field Solutions Architect, Generative Ai, Google Cloud

1 week ago

Singapore Google Full time

**Minimum qualifications**:

- Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
- 5 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 with core search concepts like indexing and query rewriting.
- Understanding in implementation and optimized Retrieval-Augmented Generation (RAG) models using both first-party and open-source models.
- Ability to architect and explain complex data, ML, and training pipelines.
- Ability to travel up to 20% of the time as required.

**About the job**:
As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s 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 (TPU/GPU).

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 the customers by understanding the customer’s business process and objectives. Architect AI-drive, spanning Data, AI, Infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Work with customers, demonstrate features, tune models, optimize model performance, profiling, and bench marking. Troubleshoot and find solutions to issues training/serving models in a large scale environment.
- 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 and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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