How to become an Artificial Intelligence Engineer
Designs, develops, deploys, and maintains production AI and machine learning systems, including LLM applications, retrieval-augmented generation, agentic workflows, data pipelines, and enterprise integrations. The role combines software engineering, data engineering, cloud architecture, model development, security, and cross-functional technical leadership.
Top Skills Required
- Machine learning
- Artificial intelligence
- Large language models
Education & Certifications
Typical: Bachelor's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related STEM discipline.
Alternative paths:
- Equivalent professional experience
- Additional machine learning experience in lieu of a bachelor's degree
- Advanced coursework or experience in calculus, linear algebra, Bayesian statistics, and related mathematics