Head of Applied AI & Products leading the design and realization of AI-native product ecosystem at Viridien. Defining technical direction for AI solutions in geoscience domain.
Responsibilities
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
Requirements
Strong engineering background (ML engineering, MLOps engineer, or equivalent)
Proven experience building complex systems from 0→1
Ability to independently write production-quality code and build functional prototypes
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