Data Scientist

Senior Conversational Architect

Key Responsibilities

• Conversational AI Design:

  Architect, design, and optimize conversational flows, playbooks, and user journeys using

  Dialogflow CX

  and

  AgentSpace

  .

• Productionisation:

  Oversee the deployment of

  voice and chat agents

  into production environments, ensuring scalability, reliability, and compliance with enterprise standards.

• AI & Data Integration:

  Utilize

  Vertex AI

  for advanced machine learning workflows and integrate with cloud services and business systems.

• Testing & Evaluation:

  Define and execute

  test cases, evaluation frameworks, and performance benchmarks

  for conversational agents.

• Programming & Automation:

  Develop cloud-based solutions using

  Python (Cloud Functions, Colab)

  and implement queries/analytics in

  SQL (BigQuery)

  .

• Analytics & Insights:

  Leverage strong analytical skills to monitor agent performance, user behavior, and improve conversational experiences.

• Team Leadership:

  Lead and mentor a team of developers/AI specialists, ensuring delivery excellence and adherence to agile practices.

• Stakeholder Management:

  Collaborate with cross-functional teams and business stakeholders, ensuring effective communication and alignment of project goals.

• Program Management:

  Apply agile methodologies for sprint planning, backlog prioritization, and progress tracking (good to have).

• Innovation:

  Continuously explore new tools, frameworks, and methods to enhance conversational AI capabilities.

Qualifications

• Proven expertise in

  Dialogflow CX

  ,

  Vertex AI

  , and conversational agent design.
• Strong proficiency in

  Python

  and

  SQL (BigQuery)

  .
• Experience leading teams and managing enterprise-level conversational AI programs.
• Excellent communication and stakeholder management skills.