AI Adoption / Enablement Specialist
Rolls out AI tools in a company: training, rules and measuring the effect; a role from the adoption wave that may turn out to be temporary
- Salary 30% × 4.11.23
- AI resistance 35% × 7.02.45
- Demand 20% × 7.01.40
- Remote work 10% × 7.00.70
- Low stress 5% × 5.00.25
Salary, k PLN per month
Estimateestimate MID → SENIORmidpoint, medianjunior (derived)
- Range MID → SENIOR
- ≈15–28
- Range midpoint
- ≈21.5
- Junior Derived
- ≈10.8
- Take-home, employment (UoP) Derived
- ≈14.6
- Take-home, B2B flat-rate tax Derived
- ≈17.6
NOTE: this is NOT a junior salary! The bottom of the range = MID level (or just promoted from junior). The top of the range = an experienced SENIOR. Staff/principal/architect levels can earn above it.
Easiest transitions
Estimate2-3 roles with the shortest path from this one (overlapping skills)
Key certifications
EstimateScores 1–10
Estimate- AI resistance7/1010 = rides the AI wave, 1 = highly automatable
- Demand7/1010 = acute shortage of specialists, 1 = shrinking market
- Remote work7/1010 = fully remote is the norm, 1 = mostly on-site
- Stress5/1010 = heavy on-call / shifts / pressure, 1 = calm
- Entry barrier5/1010 = years of prerequisites, 1 = open to beginners
- Prestige6/1010 = elite reputation in the industry, 1 = underrated role; a subjective view of the title among engineers - informational, not part of the Score formula
The market in job ads
From job ads SOLID.Jobs · 13/11/2026Too few offers for this role (6 offers, threshold 10). Below are statistics for the Data Science and AI category (132 offers), labelled as category data, not role data.
Most common stack in Data Science and AI
Most common in this role's 6 offers: AI agents, Prompt engineering, Jenkins, JMeter, Kibana, Postman. This is only indicative.