Mid Level AI Engineer in Columbia, SC
Average salary $126,049 · from 1 active job market data points · Updated Mar 08, 2026
$140k–$140k
Purchasing Power
198
98% more purchasing power than the US average
Market Demand
0%
demand data not yet available for this market
Career Growth
+0%
career momentum data not available
Talent Scarcity
2.5/10
2.5/10 scarcity leverage — moderate talent-to-demand ratio
Columbia, SC presents a promising opportunity for mid-level AI engineers, offering a competitive average salary of $126,049, which reflects a strong purchasing power significantly above the national average. With a moderate talent-to-demand ratio, professionals in this field can expect a stable job market with potential for growth in the coming years.
Key Insights
- The average salary for mid-level AI engineers in Columbia is $126,049, aligning with the typical range for professionals with 3 to 7 years of experience.
- Despite current market demand data being unavailable, the moderate skill scarcity score of 2.5/10 suggests that there is a balanced demand for AI talent, indicating potential job stability.
- With a purchasing power index of 126049, professionals in this region can enjoy a higher standard of living compared to many other markets in the U.S.
- Given the lack of career momentum data, it is advisable for AI engineers in Columbia to actively seek opportunities for skill enhancement and networking to maximize career growth.
Frequently Asked Questions
What is the average salary for mid-level AI engineers in Columbia, SC?
The average salary is $126,049.
How does the purchasing power in Columbia compare to the national average?
Columbia offers 125949% more purchasing power than the U.S. average.
What is the skill scarcity level for AI engineers in this market?
The skill scarcity level is rated at 2.5 out of 10, indicating moderate talent availability.
Career intelligence for Mid Level AI Engineer in Columbia, SC. Data sourced from live job postings,
Bureau of Labor Statistics regional data, and Jobs Jobs Jobs market analysis.
Methodology →