Solutions Architect, Conversational AI, Cloud Apps
Job Summary
Job Description
- Bachelor's degree in Machine Learning, Computational Linguistics, Computer Science, or equivalent practical experience.
- 5 years of experience in software development with Python.
- 5 years of experience in a customer-facing role focused on translating financial services customer needs into Cloud Solutions.
- Experience building chat-bots or voice-bots.
- Master's degree, MBA, or PhD in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Data Science, or a related discipline.
- Certified Machine Learning Engineer.
- Experience with all phases of a Machine Learning project delivery (e.g., data collection, production deployment, etc.).
- Experience building, integrating, and deploying Contact Center solutions.
- Ability to communicate with a wide range of cross-functional and customer stakeholders, both verbally and through presentations.
- Excellent communication skills, with the ability to communicate with a wide range of cross-functional and customer stakeholders.
5 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Machine Learning, Computational Linguistics, Computer Science, or equivalent practical experience.
- 5 years of experience in software development with Python.
- 5 years of experience in a customer-facing role focused on translating financial services customer needs into Cloud Solutions.
- Experience building chat-bots or voice-bots.
Preferred qualifications:
- Master's degree, MBA, or PhD in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Data Science, or a related discipline.
- Certified Machine Learning Engineer.
- Experience with all phases of a Machine Learning project delivery (e.g., data collection, production deployment, etc.).
- Experience building, integrating, and deploying Contact Center solutions.
- Ability to communicate with a wide range of cross-functional and customer stakeholders, both verbally and through presentations.
- Excellent communication skills, with the ability to communicate with a wide range of cross-functional and customer stakeholders.
About the job
As the Solutions Architect for Conversational AI, you will contribute to Google’s innovations of Contact Center AI (CCAI) solutions for customers and partners. You will create proof of concepts and prototypes with the newest Generative AI capabilities and innovative virtual agent solutions using LLM-driven capabilities in Contact Center AI to enable digital transformation for customers and partners.
You will maintain partnership with Google’s Cloud AI Engineering teams to build and constantly drive products. You will co-develop virtual agent solutions with Google Partners, including Independent Software Vendors (ISVs), SaaS vendors and System Integrators (SIs). You will build conversational interfaces and virtual agents for customers using core Google products such as Dialogflow, Agent Builder, Agent Assist, Insights, and Contact Center AI Platform. You will represent Google Cloud AI during pre-sales and serve as a trusted advisor on Conversational AI products to partners in Sales, Professional Services and Customer Engineers. This involves travel to customer sites to provide consulting and advisory and implement solutions.
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.
Responsibilities
- Build solutions and pilot private preview AI features with early access partners and customers.
- Take responsibility for leading 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.
- Prepare and 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.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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