Conversational AI Architect

4 days ago

Bengaluru, Karnataka, India Zeta Services Inc. Full time
Zeta Conversational AI Team Lead

At Zeta Services Inc., we're seeking a highly skilled Conversational AI Team Lead to join our digital banking team. As a key member of our team, you will be responsible for designing and implementing Omni-channel AI bots using low-code/no-code orchestration platforms.

  • Design and Implementation: Lead the design and development of Omni-channel (voice and chat) AI chatbots, ensuring a seamless, consistent experience across all digital touch points.
  • LLM Response Optimization: Develop and optimize prompts for various chatbot flows against OpenI and other opensource LLMs, creating data sets for LLM fine tuning for intent recognition and conversation.
  • Scripting: Expertise writing small functions in Python/JS for function calling within conversational AI flows.
  • Platform Mastery and Utilization: Become an expert in the features and capabilities of the chosen low-code/no-code orchestration platforms, leveraging their full potential to build sophisticated conversational AI solutions.
  • Collaboration and Stakeholder Management: Work closely with banking domain experts to understand detailed banking processes, compliance requirements, and customer service protocols, ensuring the chatbot accurately reflects and adheres to these standards.
  • Testing and Optimization: Conduct rigorous testing of chatbot conversations and workflows to identify and rectify any issues, ensuring high accuracy and user satisfaction.
  • Documentation and Training: Create comprehensive documentation on chatbot design, architecture, and operational procedures to facilitate knowledge sharing and training.

What We're Looking For

  • Deep understanding of Bot/Conversational AI/Contact Center orchestration platforms
  • Programming skills in any scripting language desirable
  • Deep expertise and experience in prompt engineering and LLM Response optimization using relevant techniques
  • Understanding of Retrieval Augmented Generation and creation of documentation for RAG
  • Experience in creating data sets for LLM fine tuning
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Minimum of 4 years focused on building and maintaining Conversational AI flows
  • Certification in bot development or related technologies preferred

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