Lead the design, development, and implementation of customer-facing AI agent solutions
Develop and refine conversational AI models to achieve human-equivalent performance in complex customer interactions
Establish and maintain robust evaluation frameworks and monitoring systems to ensure AI quality, compliance, and regulatory standards
Drive experimentation and iterative improvement cycles to enhance AI agent capabilities and customer experience
Own the end-to-end lifecycle of AI agent deployments, including prompt design, context management, and troubleshooting to optimise conversational flow
Collaborate closely with cross-functional teams across Product, Operations, Finance, and senior leadership, acting as a technical bridge
Requirements
Proven experience working with customer-facing generative AI or conversational AI solutions
Strong background in data science with hands-on experience deploying and evaluating machine learning or AI models, particularly large language models (LLMs)
Deep understanding of prompt engineering, LLM evaluation, and agentic AI systems
Experience working with or integrating third-party AI platforms (e.g., Sierra) and collaborating with external technology partners
Solid SQL skills for data querying and analysis to support model evaluation and experimentation frameworks
Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders and senior leadership
Comfortable navigating ambiguity and designing thoughtful experimentation frameworks to iterate and improve AI-driven customer journeys