AI Team Roles Guide

An interactive document to show how different AI team members work together

Data Engineer

Builds and maintains the systems that collect, store, and prepare data for use by the team.

ML Engineer

Creates and optimizes traditional machine learning models for specific business problems.

MLOps Engineer

Ensures ML systems run reliably in production through robust infrastructure and monitoring.

AI Engineer

Develops advanced AI systems using cutting-edge techniques like deep learning and large language models.

Prompt Engineer

Optimizes interactions with language models to achieve reliable, high-quality outputs.

AI Ethics Specialist

Ensures AI systems are developed and deployed responsibly with appropriate safeguards.

AI Product Manager

Guides the development of AI products by balancing technical capabilities with business needs.