Solutions Architect, Generative AI, Google Cloud

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 5 years of 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 working with enterprise and cloud technology systems, designing solutions, or developing business applications.
  • 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.
  • Experience in machine learning engineering, including distributed training, large-scale serving, and machine learning accelerators.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

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. In this role, you will provide direction on how to tailor the mechanisms used to deploy workloads at scale reliably and securely to production, and apply Responsible AI principles. You will communicate with businesses of all types to help them adopt Google products and solutions wherever they are on their AI journey. You'll explore and experiment with our suite of products, partner tools, and third-party applications to build and deploy cloud solutions.

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 various teams 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.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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