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  1. Home/
  2. Salaries/
  3. Multimodal AI Applications Engineer/
  4. Dallas

Multimodal AI Applications Engineer.

Dallas.

$157,000

median salary, 3% below the national average

$121,000 to $194,000. Last updated April 2026.

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Data points to own the conversation.

A Multimodal AI Applications Engineer in Dallas earns a median of $157,000 in 2026. That is 3% below the national average. The range runs from $121,000 to $194,000, and where you land depends on your experience, your skills, and how well you negotiate. Expertise in building systems that process and generate across text, image, audio, and video modalities drives compensation.

Salary range

25th Percentile

$121,000

per year

Median

$157,000

per year

75th Percentile

$194,000

per year

Where do you fall?

$121,000$194,000

Salary by experience

The gap between entry and lead level is typically $141,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$102,000

to $126,000

Mid (3-5 yrs)

$133,000

to $165,000

Senior (6-9 yrs)

$173,000

to $204,000

Lead (10+ yrs)

$196,000

to $243,000

Salary trend

+7% YoY
$120,000
2022
$128,000
2023
$137,000
2024
$147,000
2025
$157,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $32,000 to the total package.

Base

$157,000

Equity

$17,000

Bonus

$12,000

Signing

$3,000

Estimated total: $189,000

How Dallas compares

Dallas, TX

$157,000

Cost of living: 1% above average

National Average

$162,000

Dallas is $5,000 below

Multimodal AI Applications Engineer salary by city

Multimodal AI Applications Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$228,000$176,000 – $282,0001.38x$165,000
San Francisco, CA$223,000$172,000 – $275,0001.35x$165,000
Honolulu, HI$215,000$166,000 – $265,0001.30x$165,000
New York, NY$214,000$165,000 – $264,0001.28x$167,000
Washington DC, DC$211,000$163,000 – $260,0001.25x$169,000
Arlington, VA$206,000$159,000 – $254,0001.22x$169,000
Seattle, WA$201,000$155,000 – $248,0001.24x$162,000
Jersey City, NJ$196,000$152,000 – $242,0001.20x$163,000
Los Angeles, CA$193,000$149,000 – $238,0001.18x$164,000
Dallas, TX$157,000$121,000 – $194,0001.01x$155,000

See all 83 cities for Multimodal AI Applications Engineer →

Salary by role in Dallas

Salary comparison by role in Dallas
RoleMedianRange
Distinguished Engineer$333,000$253,000 – $424,000
Chief AI Officer$322,000$239,000 – $416,000
VP of AI$299,000$227,000 – $391,000
Multimodal AI Applications Engineer$157,000$121,000 – $194,000
Machine Learning Engineer$157,000$121,000 – $202,000
AI Enablement & Literacy Lead$157,000$116,000 – $207,000
AI Environment Manager$157,000$119,000 – $207,000
AI Wearables Engineer$157,000$118,000 – $208,000

What you should know

The Multimodal AI Applications Engineer landscape in Dallas is not what most salary sites will tell you. Dallas is a major corporate hub with dozens of Fortune 500 headquarters spanning telecom, finance, defense, and retail. The metro's low cost of living and no state income tax make it a magnet for corporate relocations. Tech salaries in Dallas have risen quickly, particularly in fintech, cybersecurity, and enterprise software. Expertise in building systems that process and generate across text, image, audio, and video modalities drives compensation. Engineers with production experience integrating vision-language models, audio understanding, and cross-modal retrieval earn premiums. Deep understanding of transformer architectures and attention mechanisms across modalities is essential.

Junior multimodal engineers start at $110,000 to $130,000 integrating pre-trained models. Mid-level engineers building custom multimodal pipelines reach $150,000 to $175,000. Senior engineers architecting end-to-end multimodal systems earn $185,000 to $230,000. Staff-level roles at frontier labs exceed $300,000 in total compensation. In Dallas, 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 multimodal AI companies adds $30,000 to $100,000 annually. Bonuses of 12% to 18% are standard. Compute budgets for experimentation are generous. Conference travel and publication incentives support career growth. And on the tax side: texas levies no state income tax, giving Dallas workers a meaningful take home pay advantage. Local property taxes are above the national average, typically around 2% of assessed value. When someone quotes you $157,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight the corporate headquarters density in DFW. Employers here compete fiercely for talent and often match or exceed offers from companies across the metroplex. The range for Multimodal AI Applications Engineers in Dallas runs from $121,000 to $194,000. 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

Interactive

Is your offer competitive?

Enter your Multimodal AI Applications Engineer offer to see where you stand in Dallas.

$

25th

$121,000

Median

$157,000

75th

$194,000

Considering a related role?

  • A AI UX Designer in Dallas earns $156,000 (1% less)
  • The highest-paying role in Dallas is Distinguished Engineer at $333,000

Common questions.

Multimodal engineering requires understanding how different data types interact and complement each other. You deal with alignment between modalities, fusion strategies, and cross-modal attention. The debugging surface area is larger because errors can originate in any modality or in the fusion layer. Infrastructure requirements are also more complex due to heterogeneous data processing.

Vision-language models (for document understanding, visual QA, and image generation) are currently the highest demand area. Audio-language models (for meeting summarization, voice assistants) are growing fast. Video understanding combined with language is an emerging frontier with increasing hiring as models improve.

Texas levies no state income tax, giving Dallas workers a meaningful take home pay advantage. Local property taxes are above the national average, typically around 2% of assessed value. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

Junior multimodal engineers start at $110,000 to $130,000 integrating pre-trained models. Mid-level engineers building custom multimodal pipelines reach $150,000 to $175,000. Senior engineers architecting end-to-end multimodal systems earn $185,000 to $230,000. Staff-level roles at frontier labs exceed $300,000 in total compensation. In Dallas, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

Relevant certifications can add 5 to 15% to a Multimodal AI Applications Engineer's base salary in Dallas. Specifically, expertise in building systems that process and generate across text, image, audio, and video modalities drives compensation. In a market where the range spans $121,000 to $194,000, certifications often bridge the gap between the 50th and 75th percentile.

Multimodal AI Applications Engineer salary in other cities

Miami$189,000
Minneapolis$177,000
Manchester$175,000
Milwaukee$142,000
Madison$154,000
New York$214,000

Other salaries in Dallas

Operations Manager$91,000
Occupational Therapist$88,000
Optometrist$134,000
Optical Character Recognition Engineer$161,000

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"Multimodal AI Applications Engineer Salary in Dallas, TX." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/multimodal-ai-applications-engineer/dallas

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