
Conversational AI Manager, Google Cloud
- Gurgaon, Haryana
- Permanent
- Full-time
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 8 years of experience working with external partners on conversation architecture and bot designing.
- 8 years of experience working with external partners on conversation architecture and bot designing.
- 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
- 2 years of experience managing a technical team in a cloud computing environment.
- Experience with Generative AI, natural language processing, conversational flow and related concepts.
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in Linguistics, Applied Linguistics, Cognitive Science, or related discipline with a focus on Conversation Analysis, Pragmatics, Language Use, Cognitive Linguistics, Philosophy of Language, or Natural Language Processing (NLP).
- Experience in chat or voice bot development, NLP based Conversation flow design, contact center technologies or linguistics.
- Understanding the call center and digital ecosystem to track and monitor Key Performance Indicator( KPIs).
- Identify opportunities with Google’s key customers to apply conversational AI in their business, implement solutions for customer use cases, leveraging core Google products, and transforming their contact centers using Google’s conversational AI solution.
- Manage and grow a team of Architects, Consultants and Engineers.
- Work with business/partner leads and technical stakeholders to translate customer requirements into appropriate conversational AI Solution architectures, Statement of Work (SOWs), project and staffing plans.
- Develop conversational Artificial Intelligence (AI) solution delivery strategies and methodologies with product and engineering teams; consolidate lessons learned into a curated insights base to enable global scaling of industry solutions.
- Recommend and document migration paths, integration strategies, and application architectures needed to successfully implement complete conversational AI solutions using best practices on Google Cloud.