AI Energy Optimizer.
San Antonio.
$128,000
median salary, 5% below the national average
$95,000 to $163,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a AI Energy Optimizer offer in San Antonio, TX, here is the reality: $95,000 to $163,000, with $128,000 as the midpoint. 5% 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 $115,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$83,000
to $102,000
Mid (3-5 yrs)
$109,000
to $134,000
Senior (6-9 yrs)
$141,000
to $166,000
Lead (10+ yrs)
$160,000
to $198,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $63,000 to the total package.
Base
$128,000
Equity
$38,000
Bonus
$17,000
Signing
$8,000
Estimated total: $191,000
How San Antonio compares
San Antonio, TX
$128,000
Cost of living: 9% below average
National Average
$135,000
San Antonio is $7,000 below
AI Energy Optimizer salary by city
Salary by role in San Antonio
What you should know
The AI Energy Optimizer landscape in San Antonio is not what most salary sites will tell you. San Antonio has a major military presence with Joint Base San Antonio and a growing cybersecurity hub. The city is home to USAA headquarters and a cluster of healthcare systems. The extremely affordable cost of living and no state income tax make it attractive for professionals seeking 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 San Antonio, cost of living sits near the national average, so the numbers you see are roughly what you keep.
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: texas has no state income tax. San Antonio has no city income tax. The zero tax environment and very affordable housing create exceptional purchasing power relative to most metros. When someone quotes you $128,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage the cybersecurity corridor. San Antonio's NSA facility and military cyber operations drive demand for cleared security professionals at premium rates. The range for AI Energy Optimizers in San Antonio runs from $95,000 to $163,000. 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 Software Engineer in San Antonio earns $127,000 (1% less)
- The highest-paying role in San Antonio is Distinguished Engineer at $303,000
Common questions.
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