Head Of Applied Ai Products

Viridien

Not specified
Strong ml engineering background
Production-quality code writing
Llm application architectures like rag
Viridien is seeking a Head of Applied AI Products to lead the development of AI-driven solutions that transform unstructured geoscience data into structured knowledge systems. The ideal candidate will possess a strong engineering background in machine learning and product development, focusing on building scalable AI applications while championing the company's commitment to sustainability

Job Summary

  • Viridien is seeking a Head of Applied AI Products to lead the design and realization of an AI-native product ecosystem at the intersection of engineering, research, and product architecture.
  • The role focuses on transforming unstructured geoscience domain data into structured knowledge systems and building AI-native tools that enable advanced data analysis and customizable workflows.
  • Candidates must have a strong engineering background with proven experience building complex systems from 0→1 and practical experience with LLM application architectures such as RAG and agents.

Matching Summary

Match Score: 85

Viridien is seeking a Head of Applied AI Products to lead the development of AI-driven solutions that transform unstructured geoscience data into structured knowledge systems. The ideal candidate will possess a strong engineering background in machine learning and product development, focusing on building scalable AI applications while championing the company's commitment to sustainability.

Skills & Requirements

Must-have

  • Strong ML engineering background
  • Production-quality code writing
  • LLM application architectures like RAG
  • End-to-end AI pipeline design
  • Entity resolution processes
  • Data analysis integration systems

Nice-to-have

  • Product-minded reasoning about value
  • Comfort in high-ambiguity environments
  • Collaboration with subject matter experts
  • Human-in-the-loop validation mechanisms
  • Continuous learning culture fit

Key Requirements

  • Strong engineering background (ML engineering or MLOps)
  • Proven experience building complex systems from 0→1
  • Ability to independently write production-quality code

Work Rights

Not specified

Tailored Resume

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