Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case
Run four-week sprints to diagnose and resolve performance issues when AI results are lagging
Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports
Track AI agent deployment and adoption weekly to ensure stability in production

Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
1–3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support
Proven ability to work directly with customers to solve problems and communicate technical concepts clearly
Hands-on experience with prompt engineering, vibe-coding tools, or LLMs
Strong analytical skills with the ability to interpret outcome models and prove the value of AI
Clear understanding of how AI systems and large language models function in a business setting

Applied AI Coach

Key skills