Cloud Technical Solutions Engineer, AI/ML

About the Role

As a Cloud Technical Solutions Engineer specializing in AI/ML at Google Cloud, you will play a crucial role in helping our customers seamlessly transition to Google products and support them throughout their journey. You will be responsible for swiftly resolving technical issues, demonstrating how our products can enhance business productivity, collaboration, and innovation.

Key Responsibilities

• Customer Problem Management: Effectively diagnose, resolve, or implement new investigation tools to increase productivity for customer issues on Google Cloud Platform products, specifically AI/ML products on GCP.
• Consultation and Expertise: Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• 24/7 Support: Work as part of a global team of engineers/consultants to ensure 24-hour customer support, including the need to sometimes work non-standard work hours or shifts.
• Customer Advocacy: Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams, to improve the product and drive high-quality production.
• Technical Troubleshooting: Develop an understanding of Google's product technology and underlying architectures by troubleshooting and determining the root cause for customer-reported issues, and building tools for faster diagnosis.

Minimum Qualifications

• Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
• 4 years of experience coding in a general-purpose coding language or in system design, troubleshooting, and advocating for customers' needs, and triaging technical issues.
• 4 years of experience with 2 of the following: Web Tech, Data, Systems Admin, Machine Learning, AI.

Preferred Qualifications

• 4 years of experience in technical consulting, supporting large enterprise customers with high service-level objective and service-level agreement requirements.
• Experience with cloud computing (e.g., certifications, internships, coursework, etc.).

About Google Cloud

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.

Equal Opportunity

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Application Process

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.