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AI Financial Engineer.

Washington DC.

$252,000

median salary, 20% above the national average

$186,000 to $324,000. Last updated August 2026.

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Data points to own the conversation.

An AI Financial Engineer in Washington DC earns a median of $252,000 in 2026. That is 20% above the national average. The range runs from $186,000 to $324,000, and where you land depends on your experience, your skills, and how well you negotiate. Pay depends on ability to apply ML models to quantitative finance problems like risk modeling, algorithmic trading, and fraud detection. 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

$186,000

per year

Median

$252,000

per year

75th Percentile

$324,000

per year

Where do you fall?

$186,000$324,000

Orbyt estimate for AI Financial Engineer in Washington DC, 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 $108,330 for Financial and Investment Analysts (SOC 13-2051) in the Washington-Arlington-Alexandria, DC-VA-MD-WV metropolitan area, based on 10,930 employed workers (May 2025 release).

10th percentile

$74,190

25th percentile

$86,470

Median

$108,330

75th percentile

$142,350

90th percentile

$195,190

Workers surveyed

10,930

Why this differs from the estimate above. The Orbyt estimate of $252,000 is 133% 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 Washington DC 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 $227,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$164,000

to $202,000

Mid (3-5 yrs)

$214,000

to $265,000

Senior (6-9 yrs)

$277,000

to $328,000

Lead (10+ yrs)

$315,000

to $391,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $124,000 to the total package.

Base

$252,000

Equity

$76,000

Bonus

$33,000

Signing

$15,000

Estimated total: $376,000

How Washington DC compares.

Washington DC, DC

$252,000

Cost of living: 25% above average

National Average

$210,000

Washington DC is $42,000 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
Boston, MA$246,000$182,000 to $316,0001.22x$202,000

See all 81 cities for AI Financial Engineer →

Salary by role in Washington DC.

Salary comparison by role in Washington DC
RoleMedianRange
CTO$379,000$295,000 to $492,000
General Counsel$357,000$278,000 to $464,000
CFO$338,000$254,000 to $449,000
E6 Engineer$257,000$225,000 to $303,000
Privacy / Data Counsel$257,000$198,000 to $335,000
EV Battery AI Optimization Engineer$254,000$198,000 to $330,000
AI Financial Engineer$252,000$186,000 to $324,000
Supply Chain AI Optimization Engineer$251,000$196,000 to $327,000

What you should know.

The AI Financial Engineer landscape in Washington DC is not what most salary sites will tell you. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. 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 Washington DC, those numbers run higher. The cost of living here is 25% above average, and employers adjust to compete.

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: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. When someone quotes you $252,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for AI Financial Engineers in Washington DC runs from $186,000 to $324,000. 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

$186,000

Median

$252,000

75th

$324,000

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.

DC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. 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 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 Washington DC, 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 an AI Financial Engineer's base salary in Washington DC. Specifically, pay depends on ability to apply ml models to quantitative finance problems like risk modeling, algorithmic trading, and fraud detection. In a market where the range spans $186,000 to $324,000, certifications often bridge the gap between the median and the top of the range.

AI Financial Engineer salary in other cities.

Other salaries in Washington DC.

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"AI Financial Engineer Salary in Washington DC, DC." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-financial-engineer/washington-dc

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