AI Fraud Detection Engineer.
Salt Lake City.
$145,000
median salary, at the national average
$110,000 to $185,000. Last updated April 2026.
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Data points to own the conversation.
The median AI Fraud Detection Engineer salary in Salt Lake City is $145,000, right at the national average. Entry level starts near $110,000. Experienced professionals push past $185,000. Salt Lake City anchors the Silicon Slopes tech corridor, home to companies like Qualtrics, Pluralsight, and Domo. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $131,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$94,000
to $116,000
Mid (3-5 yrs)
$123,000
to $152,000
Senior (6-9 yrs)
$160,000
to $189,000
Lead (10+ yrs)
$181,000
to $225,000
Salary trend
+7% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $69,000 to the total package.
Base
$145,000
Equity
$42,000
Bonus
$18,000
Signing
$9,000
Estimated total: $214,000
How Salt Lake City compares
Salt Lake City, UT
$145,000
Cost of living: 2% below average
National Average
$145,000
Same as local rate
AI Fraud Detection Engineer salary by city
Salary by role in Salt Lake City
What you should know
If you are interviewing for AI Fraud Detection Engineer roles in Salt Lake City, here is what you are walking into. Salt Lake City anchors the Silicon Slopes tech corridor, home to companies like Qualtrics, Pluralsight, and Domo. The region has attracted significant venture investment and tech relocations. Utah's business friendly environment, young educated workforce, and outdoor lifestyle make it a rising destination for tech professionals seeking affordability without sacrificing career growth. Compensation reflects the direct financial impact of fraud prevention systems. Engineers who can build real-time transaction scoring models with low false positive rates earn premiums. Experience with graph neural networks for fraud ring detection, anomaly detection at scale, and adversarial robustness against evolving fraud tactics drives higher salaries.
Junior fraud detection engineers start at $95,000 to $115,000. Mid-level engineers building production fraud scoring systems reach $135,000 to $165,000. Senior engineers designing enterprise fraud platforms earn $170,000 to $210,000. Directors of fraud AI at financial institutions can reach $230,000 to $290,000 in total compensation. In Salt Lake City, 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 of 15% to 25% tied to fraud loss reduction are common. Equity at fintech companies adds $20,000 to $70,000 annually. Some organizations offer bonuses based on the dollar value of fraud prevented. Benefits include financial services industry certifications and conference budgets. And on the tax side: utah has a flat 4.65% state income tax. Salt Lake City imposes no additional city income tax. The moderate rate combined with affordable living costs results in strong net compensation. When someone quotes you $145,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference Silicon Slopes growth when negotiating. Local employers are increasingly matching 85 to 95% of Seattle or Bay Area salaries to compete for tech talent. The range for AI Fraud Detection Engineers in Salt Lake City runs from $110,000 to $185,000. 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 AI UX Designer in Salt Lake City earns $144,000 (1% less)
- The highest-paying role in Salt Lake City is Distinguished Engineer at $314,000
Common questions.
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