Solutions Architect, Conversational AI, Cloud Apps

Google is seeking a Solutions Architect specializing in Conversational AI to drive innovations in Contact Center AI (CCAI) solutions. This role combines technical expertise with customer-facing responsibilities, focusing on creating proof of concepts and prototypes using the latest Generative AI capabilities. The position requires deep knowledge in Machine Learning, software development, and customer solution design.

The ideal candidate will work closely with Google's Cloud AI Engineering teams to develop and enhance products, while also collaborating with partners including ISVs, SaaS vendors, and System Integrators. They will be responsible for building conversational interfaces and virtual agents using core Google products such as Dialogflow, Agent Builder, Agent Assist, Insights, and Contact Center AI Platform.

Key responsibilities include leading technical pilots, delivering product messaging, and serving as a trusted advisor on Conversational AI products. The role involves travel to customer sites for consulting and implementation of solutions. The position requires strong technical skills in Python and experience with chat-bots or voice-bots, combined with excellent communication abilities to engage with various stakeholders.

This opportunity offers the chance to work at the forefront of AI technology, specifically in the rapidly evolving field of conversational AI and contact center solutions. The role provides exposure to Google's cutting-edge technology stack and the opportunity to influence product development while working with a diverse range of customers and partners.

The ideal candidate will have 5 years of experience in both software development and customer-facing roles, with a strong educational background in Machine Learning, Computational Linguistics, or Computer Science. They should be comfortable with all phases of Machine Learning project delivery and have the ability to communicate complex technical concepts to various audiences.