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AI Financial Engineer.

Austin.

$225,000

median salary, 7% above the national average

$166,000 to $289,000. Last updated August 2026.

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Data points to own the conversation.

Orbyt estimates AI Financial Engineer pay in Austin at $225,000, within a range of $166,000 to $289,000. That is 7% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$166,000

per year

Median

$225,000

per year

75th Percentile

$289,000

per year

Where do you fall?

$166,000$289,000

Orbyt estimate for AI Financial Engineer in Austin, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $101,530 for Financial and Investment Analysts (SOC 13-2051) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 3,530 employed workers (May 2025 release).

10th percentile

$66,710

25th percentile

$80,040

Median

$101,530

75th percentile

$132,060

90th percentile

$189,180

Workers surveyed

3,530

Why this differs from the estimate above. The Orbyt estimate of $225,000 is 122% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Financial and Investment Analysts covers a different population than the AI Financial Engineer title as it is typically advertised. Both are shown, unreconciled, so you can judge which one describes the job you mean.

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Financial and Investment Analysts (SOC 13-2051) rather than AI Financial Engineer specifically. The Austin range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 13-2051

Salary by experience.

The gap between entry and lead level is typically $203,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$146,000

to $180,000

Mid (3-5 yrs)

$191,000

to $236,000

Senior (6-9 yrs)

$248,000

to $293,000

Lead (10+ yrs)

$281,000

to $349,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $111,000 to the total package.

Base

$225,000

Equity

$68,000

Bonus

$29,000

Signing

$14,000

Estimated total: $336,000

How Austin compares.

Austin, TX

$225,000

Cost of living: 3% above average

National Average

$210,000

Austin is $15,000 above

AI Financial Engineer salary by city.

AI Financial Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$298,000$220,000 to $384,0001.38x$216,000
San Francisco, CA$281,000$207,000 to $361,0001.35x$208,000
Honolulu, HI$281,000$208,000 to $362,0001.30x$216,000
New York, NY$280,000$206,000 to $359,0001.28x$219,000
Seattle, WA$258,000$190,000 to $331,0001.24x$208,000
San Diego, CA$256,000$189,000 to $329,0001.17x$219,000
Washington DC, DC$252,000$186,000 to $324,0001.25x$202,000
Los Angeles, CA$250,000$185,000 to $322,0001.18x$212,000
Newark, NJ$250,000$185,000 to $322,0001.18x$212,000
Austin, TX$225,000$166,000 to $289,0001.03x$218,000

See all 81 cities for AI Financial Engineer →

Salary by role in Austin.

Salary comparison by role in Austin
RoleMedianRange
CTO$318,000$248,000 to $414,000
CEO$289,000$210,000 to $399,000
General Counsel$288,000$225,000 to $375,000
AI Protein Structure Specialist$227,000$177,000 to $295,000
AI Financial Engineer$225,000$166,000 to $289,000
L6 Software Engineer$225,000$197,000 to $265,000
E6 Engineer$223,000$195,000 to $262,000
Drug Discovery AI Researcher$221,000$173,000 to $288,000

What you should know.

If you are interviewing for AI Financial Engineer roles in Austin, here is what you are walking into. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. Pay depends on ability to apply ML models to quantitative finance problems like risk modeling, algorithmic trading, and fraud detection. Engineers combining deep finance domain expertise with advanced ML skills earn top-band compensation. Experience with real-time inference for trading systems and regulatory-compliant model development adds 20 to 30% to base salaries.

Junior quant ML engineers start at $120,000 to $150,000. AI financial engineers earn $155,000 to $210,000. Senior roles at top funds reach $250,000 to $350,000 base, and portfolio managers or heads of AI strategy at major firms command $500,000 to $1,000,000 or more in total compensation. In Austin, 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. Performance bonuses at hedge funds and trading firms can range from 50 to 200% of base salary. Equity is less common in finance but deferred compensation plans are standard. Banks offer structured bonus pools tied to desk profitability. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $225,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for AI Financial Engineers in Austin runs from $166,000 to $289,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$166,000

Median

$225,000

75th

$289,000

Considering a related role?

Common questions.

Base salaries are 10 to 20% higher at hedge funds, but the real difference is in bonuses. Top-performing AI engineers at quantitative funds can earn 2x to 4x their base salary in annual bonuses, far exceeding typical tech company equity-based compensation.

Derivatives pricing, market microstructure, and credit risk modeling expertise combined with ML skills command the highest premiums. Engineers who can build models that directly generate alpha or reduce risk exposure are compensated based on measurable financial impact.

Performance bonuses at hedge funds and trading firms can range from 50 to 200% of base salary. Equity is less common in finance but deferred compensation plans are standard. Banks offer structured bonus pools tied to desk profitability. In Austin's market, the base range of $166,000 to $289,000 is just the starting point for negotiation.

Austin's cost of living multiplier is 1.03x the national average. The adjusted median AI Financial Engineer salary of $225,000 accounts for this. In practice, an AI Financial Engineer earning $225,000 in Austin has roughly the same purchasing power as someone earning $218,447 in an average cost market.

Lead with data: AI Financial Engineers in Austin earn $166,000 to $289,000, so anchoring your ask near $289,000 gives room to land at the median. Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. Never accept the first number without a conversation.

AI Financial Engineer hiring in Austin typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Austin's Technology sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.

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"AI Financial Engineer Salary in Austin, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-financial-engineer/austin

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