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AI Risk Analytics Engineer.

Salt Lake City.

$211,000

median salary, 2% below the national average

$165,000 to $274,000. Last updated August 2026.

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Data points to own the conversation.

Salt Lake City is 2% cheaper than the national average. For AI Risk Analytics Engineers, that shakes out to a median of $211,000, with the full range spanning $165,000 to $274,000. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. Know the range before you walk in. 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

$165,000

per year

Median

$211,000

per year

75th Percentile

$274,000

per year

Where do you fall?

$165,000$274,000

Orbyt estimate for AI Risk Analytics Engineer in Salt Lake City, 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 $103,340 for Data Scientists (SOC 15-2051) in the Provo-Orem-Lehi, UT metropolitan area, based on 840 employed workers (May 2025 release).

10th percentile

$57,700

25th percentile

$78,810

Median

$103,340

75th percentile

$139,870

90th percentile

$174,990

Workers surveyed

840

Why this differs from the estimate above. The Orbyt estimate of $211,000 is 104% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Data Scientists covers a different population than the AI Risk Analytics 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 Data Scientists (SOC 15-2051) rather than AI Risk Analytics Engineer specifically. The Salt Lake City 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 15-2051

Salary by experience.

The gap between entry and lead level is typically $190,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$137,000

to $169,000

Mid (3-5 yrs)

$179,000

to $222,000

Senior (6-9 yrs)

$232,000

to $274,000

Lead (10+ yrs)

$264,000

to $327,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $91,000 to the total package.

Base

$211,000

Equity

$55,000

Bonus

$23,000

Signing

$13,000

Estimated total: $302,000

How Salt Lake City compares.

Salt Lake City, UT

$211,000

Cost of living: 2% below average

National Average

$215,000

Salt Lake City is $4,000 below

AI Risk Analytics Engineer salary by city.

AI Risk Analytics Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$303,000$236,000 to $394,0001.38x$220,000
San Francisco, CA$290,000$227,000 to $378,0001.35x$215,000
Honolulu, HI$285,000$223,000 to $371,0001.30x$219,000
New York, NY$283,000$221,000 to $369,0001.28x$221,000
Washington DC, DC$274,000$214,000 to $357,0001.25x$219,000
Seattle, WA$269,000$210,000 to $351,0001.24x$217,000
Newark, NJ$256,000$200,000 to $334,0001.18x$217,000
Boston, MA$252,000$197,000 to $328,0001.22x$207,000
San Diego, CA$252,000$197,000 to $328,0001.17x$215,000
Salt Lake City, UT$211,000$165,000 to $274,0000.98x$215,000

See all 81 cities for AI Risk Analytics Engineer →

Salary by role in Salt Lake City.

Salary comparison by role in Salt Lake City
RoleMedianRange
CTO$306,000$238,000 to $397,000
CEO$278,000$202,000 to $384,000
CFO$265,000$199,000 to $352,000
Grid Optimization AI Specialist$214,000$167,000 to $278,000
L6 Software Engineer$214,000$188,000 to $252,000
Technical Fellow$212,000$186,000 to $249,000
AI Risk Analytics Engineer$211,000$165,000 to $274,000
AI Financial Engineer$208,000$153,000 to $267,000

What you should know.

Here is what the AI Risk Analytics Engineer market actually looks like in Salt Lake City. 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 specialization depth, production deployment scale, and the maturity of the AI systems being built. AI Risk Analytics Engineers who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use.

Entry-level AI Risk Analytics Engineers start near $168,000. Mid-career professionals with three to five years of experience reach $215,000 to $280,000. Senior-level roles command $275,000 to $333,000. Management transitions to director-level positions offer $355,000 and above. 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. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. 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 $211,000, 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 Risk Analytics Engineers in Salt Lake City runs from $165,000 to $274,000. 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

$165,000

Median

$211,000

75th

$274,000

Considering a related role?

  • A Technical Fellow in Salt Lake City earns $212,000 (0% more)
  • The highest-paying role in Salt Lake City is CTO at $306,000
  • See all ai finance roles tracked in Orbyt Intelligence

Common questions.

Production deployment experience, published research or open source contributions, and expertise with the latest model architectures command the highest premiums. Proficiency in Python, PyTorch, and cloud ML platforms is baseline. Experience with LLM fine-tuning, RLHF, and inference optimization is increasingly differentiated.

AI labs and foundation model companies pay 20% to 40% more than enterprises. Well-funded AI startups offer competitive base salaries with significant equity upside. Large tech companies provide the most stable total compensation packages with strong equity vesting schedules.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity at top-tier companies adds 30% to 60% above base salary. In Salt Lake City's market, these extras can add $52,750 or more on top of the base salary.

Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. AI Risk Analytics Engineers who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use. In Salt Lake City, these factors can push compensation from $165,000 to $274,000 or beyond.

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. For AI Risk Analytics Engineers specifically, the median salary of $211,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Risk Analytics Engineers. Some Salt Lake City employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Salt Lake City's moderate cost market, remote and local salaries are converging. The $165,000 to $274,000 range reflects both arrangements.

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. For AI Risk Analytics Engineers specifically, compensation reflects specialization depth, production deployment scale, and the maturity of the ai systems being built, which signals sustained demand. The current compensation range of $165,000 to $274,000 reflects a market that is competing for talent.

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"AI Risk Analytics Engineer Salary in Salt Lake City, UT." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-risk-analytics-engineer/salt-lake-city

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