Viridien

Artificial Intelligence

• Define and own the AI product architecture and technical product roadmap
• Translate emerging AI capabilities into scalable product architectures and user experiences
• Establish best practices for building reliable, observable, and debuggable LLM-powered systems
• Design and improve end-to-end AI pipelines
• Develop document ingestion, layout analysis, and information extraction capabilities
• Build entity resolution processes aligned with standardized domain databases
• Implement table understanding and schema normalization into predefined data schemas
• Develop domain-specific machine learning models in collaboration with subject matter experts
• Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools
• Lead the development of AI-native applications and tools
• Implement tool-calling and orchestration frameworks for domain-specific software
• Develop data analysis and integration systems
• Implement human-in-the-loop validation and feedback mechanisms
• Prototype core systems to validate feasibility and guide implementation
• Partner with engineering teams to review designs and ensure strong technical architecture
• Drive the transition from experimental AI capabilities to scalable production systems

Head of Applied AI – Products