Customer Engineer, Generative AI, Google Cloud

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or equivalent experience in a customer-facing role.
  • Experience with LLMs, Open Source, Big Data, ML, and numerical programming frameworks.
  • Experience with AI products, technologies, and infrastructure.

Preferred qualifications:

  • Master's degree in Computer Science or other technical field.
  • Experience with building AI and machine learning solutions, MLOps frameworks like kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
  • Experience architecting and developing software or infrastructure for scalable, distributed systems and with ML technologies.
  • Experience in and understanding of AI Models, Large Language Model, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
  • Understanding of responsible AI practice.
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.

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 Customer Engineer, you will work with Product Engineering and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to our customers and Partners. In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Model (LaMDA, PaLM, etc.) and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

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.

The US base salary range for this full-time position is $154,000-$236,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Provide in-depth AI expertise to support the technical relationship with Google’s customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
  • Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
  • Travel to customer sites, conferences, and other related events as required.

Company Info.

Google

Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of 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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Google is currently hiring Customer Engineer Jobs in United States with average base salary of $154,000 - $236,000 / Year.

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