Back
Specialized conversational AI role with GCP integrations, metro location, and mid-senior requirements yields moderate competition.
Conversational AI and cloud skills transfer across industries, but contact-center integrations and metrics demand domain experience.
Explicit 6-9 years plus required conversational AI, GCP, and integration skills enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own development and operations support for Google Customer Engagement Suite (CES) conversational AI production systems.
Design, develop, deploy, and maintain AI-driven conversational applications leveraging Google Gemini, Agent Assist, and Conversational Agents integrated into contact center channels and platforms.
Collaborate cross-functionally to deliver and improve AI solutions for contact center agents, including troubleshooting and continuous system improvement in a shift rotation model.
Bachelor's degree or equivalent experience in a related field.
6-9 years of experience in software development and operations support, specifically in conversational AI solution development/support.
Strong programming skills in Python, Java, or JavaScript with experience in machine learning concepts and platforms like Dialogflow or equivalent.
Proficiency with Google Cloud Platform (GCP) and experience integrating AI conversational tools with contact center technologies (e.g., Genesys, Verint) and CRM systems (e.g., Salesforce).
Experienced in building and operating conversational AI applications with a strategic mindset to translate business needs into technical solutions.
Skilled in working within a production support, shift-based environment ensuring stable operation and continuous improvement of AI systems.
Familiar with advanced AI capabilities including large language models (Google Gemini), agent assist technologies, and integrating multimodal conversational AI into enterprise contact center environments.