Network Engineer vs Prompt Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Network Engineer
Design, implement, and manage computer network infrastructure.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Network Engineer earns more on average — the national median is $13,820/year (11%) higher than a Prompt Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Network Engineer vs Prompt Engineer — Salary by City
National median figures in USD across top cities.
| City | Network Engineer | Prompt Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $195,491 | $179,192 | Network +$16,299 |
| New York, NY | $165,772 | $135,980 | Network +$29,792 |
| Seattle, WA | $192,889 | $168,489 | Network +$24,400 |
| Austin, TX | $149,704 | $133,715 | Network +$15,989 |
| Chicago, IL | $145,221 | $131,261 | Network +$13,960 |
| Boston, MA | $176,955 | $160,844 | Network +$16,111 |
| London, UK | £106,873 | £92,719 | Network +$14,154 |
| Toronto, Canada | CA$177,211 | CA$162,766 | Network +$14,445 |
Frequently Asked Questions
Does a Network Engineer or Prompt Engineer earn more?+
A Network Engineer earns more on average. The national median salary for a Network Engineer is $134,050/year, compared to $120,230/year for a Prompt Engineer — a difference of $13,820 (11%).
Which has better career growth — Network Engineer or Prompt Engineer?+
Network Engineer roles are growing at 6% YoY while Prompt Engineer demand is growing at 80% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from Network Engineer to Prompt Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Network Engineer or Prompt Engineer?+
Prompt Engineer has a lower AI automation risk (15% vs 52%). Based on Oxford Martin School and McKinsey 2023 analysis.