Internal

Building a comprehensive enterprise AI ecosystem leveraging Google Cloud Platform's advanced capabilities to transform business operations across multiple domains including banking, finance, HR, and customer service. Roles & Responsibilities Conversational AI Development Building sophisticated virtual agents using Google Dialogflow CX with complex multi-turn conversation flows Creating custom entities, intents, and webhooks to handle complex business logic and domain-specific interactions Developing comprehensive testing frameworks to ensure conversational accuracy and appropriate fallback mechanisms Contact Center Integration Implementing integration between Dialogflow CX and Google Contact Center AI to enable intelligent call routing and analysis Building agent assist capabilities to provide real-time suggestions and knowledge base access Creating custom dashboards for monitoring conversation quality and agent performance metrics Retrieval-Augmented Generation Solutions Building RAG systems connecting proprietary enterprise data with large language models Implementing vector databases and semantic search capabilities using Vertex AI Vector Search Creating secure data pipelines to process, chunk, and embed sensitive company information Developing domain-specific retrievers optimized for banking regulations, HR policies, and financial data Agentic AI Implementation Building autonomous AI agents capable of executing multi-step tasks across different systems Creating tool-calling capabilities enabling agents to interact with internal APIs and databases Designing orchestration systems to manage complex workflows involving multiple agents Implementing safeguards and human oversight mechanisms for critical business processes GCP Infrastructure Development Building scalable, cost-effective cloud infrastructure leveraging GCP's serverless offerings Implementing robust security protocols for handling sensitive data in compliance with industry regulations