Applied AI Engineer Job Description Template

The applied AI engineer takes AI capabilities and makes them work for a specific business problem, which usually means far more work on data, evaluation and integration than on the model itself. The role sits close to the business and requires understanding the domain well enough to judge whether the output is actually correct.

Typical Duties and Responsibilities

• Apply AI models to specific business problems end to end
• Work with domain experts to define correct behavior and evaluate output
• Build data pipelines and prepare domain specific context
• Design evaluation reflecting domain expertise rather than generic metrics
• Integrate solutions into existing business processes and systems
• Measure real impact on the process being improved
• Iterate based on user feedback and observed failures
• Document limitations clearly for the people relying on the output
• Support adoption and training of business users
• Assess which further problems are worth attempting

Education

• Bachelor’s degree in computer science, engineering or a related field

Required Skills and Experience

• 3+ years applying AI or machine learning to business problems
• Strong Python and engineering practice
• Ability to work closely with non technical domain experts
• Experience designing domain appropriate evaluation
• Understanding of how to integrate into existing processes
• Focus on measurable outcomes rather than technical novelty
• Clear communication of limitations
• Willingness to say when AI is not the right tool

Preferred Qualifications

• Domain experience in the relevant industry
• Change management or process improvement exposure