Data Scientist

Senior Conversational Architect

Key Responsibilities

Conversational AI Architecture:

• Design, build, and optimize conversational experiences using

  Dialogflow CX

  , including Flows, Pages, Intents, Entities, and Routing.
• Develop structured

  Playbooks

  for conversation design and reuse across multiple projects.
• Lead efforts in

  productionising voice and chat agents

  for enterprise-scale deployment.
• Design and execute

  Test Cases

  and define KPIs for continuous evaluation and improvement of virtual agents.

Vertex AI & AgentSpace:

• Leverage

  Vertex AI

  to integrate large language models (LLMs) with custom business logic for advanced conversational experiences.
• Use

  AgentSpace

  to orchestrate multi-agent workflows and enhance AI-powered automation.

Technical Proficiency:

• Write and deploy serverless functions using

  Python (Cloud Functions, Colab)

  to extend agent functionality.
• Perform data analysis and reporting using

  SQL (BigQuery)

  to monitor agent performance and user behavior.

Leadership & Stakeholder Management:

• Lead a cross-functional team of designers, developers, and analysts with a focus on collaboration, quality, and timely delivery.
• Drive team ceremonies (standups, retros, planning) using

  Agile methodologies

  .
• Manage stakeholders through clear communication, expectation setting, and demo presentations.

Program Management (Good to Have):

• Contribute to roadmap planning, resource estimation, and program tracking for Conversational AI initiatives.

Preferred Skills

• Strong analytical thinking and problem-solving abilities.
• Excellent written and verbal communication.
• Experience in deploying AI-powered agents in real-world business contexts