Project Delivery Lead

We are looking for a skilled AI Conversation Solution Delivery to serve as the key bridge between client business needs and our deployed AI solutions. You will be the technical owner who translates complex requirements into production-ready, high-performing conversational agents, ensuring they are flawlessly configured and launched to deliver tangible business value. Conversation Design & Flow Implementation : Design, write, and configure natural dialogue scripts and robust conversation flows for AI agents (voice and chat), leveraging LLM / NLU technologies and our proprietary platform to address various use cases in customer service, sales, and collections, etc.

Requirement Analysis & Solution Translation : Work with CSM / Sales and clients to analyze their key challenges and operational pain points, translating them into detailed, actionable, and technically sound configuration plans for the AI solution, including defined intents, dialogue states, and response logic.

Performance Optimization & Iteration : Take ownership of AI agent performance post-launch by monitoring key metrics (e.g., resolution rate, escalation rate, CSAT), analyzing conversation logs and user feedback to identify root causes of issues, and driving continuous improvements in dialogue quality and workflow efficiency.

End-to-End Project Management : Lead and manage the full implementation lifecycle from requirement confirmation and design to configuration, UAT, and go-live, ensuring on-time and high-quality delivery that meets client expectations and business objectives.

Bachelor's degree or higher in an Engineering, Technical, or related field is preferred.

Excellent verbal and written communication skills in English, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.

Data-driven mindset, capable of drawing meaningful insights from data to inform decisions and measure the impact of optimizations.

Knowledge and practical application of prompt engineering and RAG concepts are highly desirable.

Professional experience in the design, configuration, or operation of intelligent customer service or conversational AI products.

Direct industry experience in collections or customer service.

however, a solid understanding of fundamental programming logic is a strong advantage for effective collaboration with engineering teams.