Solutions Architect, Generative Ai, Google Cloud

Vor 6 Tagen

Zurich, Schweiz Google Vollzeit

**Minimum qualifications**:

- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- Experience developing end-to-end production quality solutions with cloud computing.
- Experience in Machine Learning with focus on Deep Learning and developing NLP systems.
- Experience with the current state of AI/ML, Large Language Models, and Generative AI.

**Preferred qualifications**:

- Master's degree in Computer Science, Software Systems Engineering, or a related field.
- Experience in machine learning engineering, including distributed training, large-scale serving, and machine learning accelerators.
- Experience in one of the Large Language Model (LLM) frameworks such as T5X, PAX, Megatron-LM, etc.
- Experience in one of the deep learning frameworks such as JAX, PyTorch, or TensorFlow.

**About the job**:
As a Solutions Architect with a core focus on Generative AI (GenAI), you will help customers discover use cases and better understand the potential of GenAI. You will scale your impact through publishing best practices, demos, tutorials, and developing code samples that customers can use to deploy.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology - all on the cleanest cloud in the industry. 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**:

- Facilitate technical discussions with customers, partners, and Googlers through all phases of customer engagements.
- Provide domain expertise around public cloud and enterprise technology, promote Google Cloud with customers, at conferences, and online.
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive partners.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
- Work as part of a broader Solutions Go-To-Market team to contribute technical assets, prioritize, and shape solution direction, while impacting business and bookings.

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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