AI Solutions Engineer
Impact: Enterprise AI implementation success through expert solutions engineering
Design and implement custom AI solutions for enterprise customers post-sale. Work closely with customers to understand their technical requirements, architect AI integrations, write implementation code, and ensure successful deployment of AI products in complex enterprise environments.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Frequent
- Impact visibility
- Moderate
- Travel
- 15 to 25% for customer visits and implementation support
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $195,000
- Entry-level
- $115,000 - $150,000
- Senior
- $320,000+
- Growth by 2033
- 25% (faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
Skills you'll use
Hard skills
- 65
Soft skills
- 35
Technical complexity: Moderate
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 2 to 4 years
- Years to senior
- 5 to 8 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Software Engineer > Solutions Engineer > AI Solutions Engineer > Senior AI Solutions Engineer > Principal Solutions Engineer
Future outlook
- Automation probability
- 15% low risk as solutions engineering requires human technical judgment
- AI disruption risk
- Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High