Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  
• 5 years of experience in solution engineering and 3 years of experience in stakeholder management, professional services, or technical consulting.
  
• 3 years of experience in prototyping new functionality with code (Python).
• Experience with all phases of a Machine Learning project delivery from data collection to production deployment at scale.
  
• Experience building solutions with Conversational AI technology (chatbots or voicebots).

Preferred qualifications:

• Master's degree in Engineering, Computer Science, or related technical fields.
  
• Certification in Machine Learning.
• Experience building, integrating and deploying complex Contact Center solutions.
• Excellent leadership and influencing skills in the application of AI or Machine Learning.

The Google Cloud Applied AI team focuses on innovating and developing industry solutions within top industries of cloud, including telco, healthcare, retail, media and entertainment, finance, manufacturing, gaming, and public services. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future businesses of all sizes using technology to connect with customers, employees and partners.

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.

• Build AI solutions and solve complex customer Telephony use cases.
• Lead technical pilots and pre-sales pursuits with customers, including activities such as technology advocacy, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
• Deliver product messaging to highlight the Google Cloud AI value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and request for information.
• Collaborate with the Product and Engineering team to identify product gaps, and work with cross-functional teams to design solutions.