AI Engineer

An AI Engineer is a Software Engineer who is engaged in an AI Engineering Job primarily performing AI Engineering Tasks to develop and maintain AI Systems.

• Context:
  • They can (typically) be a Member of an AI Engineering Workforce within an AI Engineering Labor Market.
  • They can (typically) possess AI Engineering Education.
  • They can (typically) be described by an AI Engineering Job Description and categorized under an AI Engineering Job Level.
  • They can (typically) exhibit high AI Problem Solving Skill.
  • They can (typically) utilize AI Development Tools and operate within AI Platform Systems.
  • They can (often) specialize in an AI Subdomain, such as being an ML Engineer, NLP Engineer, or Vision Engineer.
  • They can (often) collaborate with roles like AI Platform Engineers, Data Engineers, and AI Research Scientists.
  • They can range from being an Entry-Level AI Engineer to Experienced AI Engineer based on their AI Engineering Skill Level and experience.
  • They can adhere to AI Engineering Best Practices.
  • ...
• Example(s):
  • an ML Engineer designing and developing Machine Learning Systems.
  • an NLP Engineer specializing in Natural Language Processing Systems.
  • a Vision Engineer focusing on Computer Vision Systems.
  • a GenAI Engineer developing Generative AI Applications.
  • a Robotics AI Engineer creating intelligent Robotic Systems.
  • ...
• Counter-Example(s):
  • an AI Research Scientist primarily focused on AI research rather than engineering.
  • an AI Data Analyst more involved in analyzing outputs of AI systems rather than development.
  • a general Software Engineer not specialized in AI technologies.
• See: Applied AI, AI Research, AI Data Scientist, AI System, AI Engineering.

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