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  1. Home/
  2. Salary/
  3. AI Financial Engineer/
  4. Seattle

AI Financial Engineer.

Seattle.

$260,000

median salary, 24% above the national average

$192,000 to $335,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Seattle is 24% more expensive than the national average. For AI Financial Engineers, that shakes out to a median of $260,000, with the full range spanning $192,000 to $335,000. Pay depends on ability to apply ML models to quantitative finance problems like risk modeling, algorithmic trading, and fraud detection. Know the range before you walk in.

Salary range

25th Percentile

$192,000

per year

Median

$260,000

per year

75th Percentile

$335,000

per year

Tap to place your salary

$192,000$335,000

How Seattle compares

Seattle, WA

$260,000

Cost of living: 24% above average

National Average

$210,000

Seattle is $50,000 above

What you should know

Here is what the AI Financial Engineer market actually looks like in Seattle. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. Seattle's job market is particularly strong for cloud infrastructure, machine learning, and enterprise software roles. 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 Seattle, those numbers run higher. The cost of living here is 24% 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: washington State has no personal income tax, which significantly boosts take home pay. However, state and local sales taxes are among the highest in the country at roughly 10.25%. When someone quotes you $260,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California. The range for AI Financial Engineers in Seattle runs from $192,000 to $335,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Seattle

Cloud ComputingE-CommerceAerospaceGamingArtificial Intelligence

Negotiating in Seattle

Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California.

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.

In 2026, the average AI Financial Engineer salary in Seattle, WA is $260,000. The 25th percentile sits at $192,000 and the 75th percentile reaches $335,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

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. In Seattle, these factors can push compensation from the 25th percentile of $192,000 to the 75th percentile of $335,000 or beyond.

Entry level AI Financial Engineer positions in Seattle typically start near $192,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $260,000. Junior quant ML engineers start at $120,000 to $150,000.

Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. For AI Financial Engineers specifically, the median salary of $260,000 reflects that demand.

AI Financial Engineer compensation in Seattle has trended upward as demand outpaces supply. The 2026 range of $192,000 to $335,000 reflects a market that rewards specialization. Pay depends on ability to apply ML models to quantitative finance problems like risk modeling, algorithmic trading, and fraud detection.

AI Financial Engineer salary in other cities

Indianapolis$191,000
Kansas City$195,000
Los Angeles$248,000
Miami$235,000
Minneapolis$221,000
New York$269,000

Other salaries in Seattle

Account Executive$118,000
Accountant$89,000
AI Engineer$217,000
AI Product Manager$211,000

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