AI Energy Optimizer.
Wichita.
$107,000
median salary, 21% below the national average
$80,000 to $137,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a AI Energy Optimizer offer in Wichita, KS, here is the reality: $80,000 to $137,000, with $107,000 as the midpoint. 21% below the national average. Expertise in applying ML to energy grid optimization, demand forecasting, and renewable integration drives compensation. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $96,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$70,000
to $86,000
Mid (3-5 yrs)
$91,000
to $112,000
Senior (6-9 yrs)
$118,000
to $139,000
Lead (10+ yrs)
$134,000
to $166,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $52,000 to the total package.
Base
$107,000
Equity
$32,000
Bonus
$14,000
Signing
$6,000
Estimated total: $159,000
How Wichita compares
Wichita, KS
$107,000
Cost of living: 18% below average
National Average
$135,000
Wichita is $28,000 below
AI Energy Optimizer salary by city
Salary by role in Wichita
What you should know
The AI Energy Optimizer landscape in Wichita is not what most salary sites will tell you. Wichita is the air capital of the world, home to major aerospace manufacturers including Spirit AeroSystems, Textron Aviation, and Airbus. The city's engineering talent pool is deep, and the extremely low cost of living means aerospace salaries deliver exceptional purchasing power. Expertise in applying ML to energy grid optimization, demand forecasting, and renewable integration drives compensation. Engineers who can build models that reduce energy costs by measurable percentages command premiums. Domain knowledge of electricity markets, battery storage optimization, or building energy management adds significant value.
Junior energy AI engineers start at $90,000 to $105,000. Mid-level optimizers building production forecasting systems reach $125,000 to $150,000. Senior engineers designing grid-scale optimization platforms earn $160,000 to $195,000. Directors of AI at energy companies can reach $210,000 to $260,000. In Wichita, your dollars stretch further. Cost of living runs 18% below the national average, which means even a median salary buys a stronger lifestyle.
Base salary is not the full picture. Equity at clean energy AI startups adds $15,000 to $50,000 annually. Performance bonuses of 10% to 20% are often tied to quantifiable energy savings or efficiency improvements. Some utilities offer pension benefits and stability uncommon in tech. And on the tax side: kansas has a top income tax rate of 5.7%. Wichita has no city income tax. The moderate state rate combined with very low housing costs creates strong net pay. When someone quotes you $107,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight aerospace engineering expertise. Wichita manufacturers pay competitive national rates for specialized aviation and defense engineering talent. The range for AI Energy Optimizers in Wichita runs from $80,000 to $137,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Data Scientist in Wichita earns $108,000 (1% more)
- The highest-paying role in Wichita is Distinguished Engineer at $268,000
Common questions.
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