Head of Applied AI Products

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science to promote a sustainable future. Viridien is seeking a Head of Applied AI Products to lead the design and realization of an AI-native product ecosystem, translating emerging AI capabilities into scalable, production‑grade solutions for complex geoscience data.

• AI Product Architecture & Strategy – 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.
• AI Data Pipelines & 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 and implement table understanding and schema normalization into predefined data schemas.
• Advanced AI & Analytics – Design and implement advanced analytics capabilities. Develop domain‑specific machine learning models in collaboration with subject matter experts. Build enhanced RAG (Retrieval‑Augmented Generation) systems and AI‑assisted research tools.
• AI Applications & Platforms – 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 and implement human‑in‑the‑loop validation and feedback mechanisms.
• Technical Leadership & Prototyping – 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.

• Strong engineering background in ML engineering, MLOps, or an equivalent technical field.
• Proven experience building complex systems from 0→1.
• Ability to independently write production‑quality code and build functional prototypes.
• Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).
• Solid understanding of data pipelines, system design, and service‑oriented architectures.
• Product‑mindful: able to reason about user value, trade‑offs, and adoption beyond implementation.
• Comfortable operating in high‑ambiguity, fast‑evolving technical environments.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.