AI Supply Chain Optimization Engineer.
Salt Lake City.
$137,000
median salary, 2% below the national average
$103,000 to $174,000. Last updated April 2026.
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Data points to own the conversation.
Here is what AI Supply Chain Optimization Engineers actually make in Salt Lake City: $103,000 at the 25th percentile, $137,000 at the median, and $174,000 at the 75th. That is 2% below the national average. Salt Lake City anchors the Silicon Slopes tech corridor, home to companies like Qualtrics, Pluralsight, and Domo. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $123,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$89,000
to $110,000
Mid (3-5 yrs)
$116,000
to $144,000
Senior (6-9 yrs)
$151,000
to $178,000
Lead (10+ yrs)
$171,000
to $212,000
Salary trend
+7% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $59,000 to the total package.
Base
$137,000
Equity
$36,000
Bonus
$15,000
Signing
$8,000
Estimated total: $196,000
How Salt Lake City compares
Salt Lake City, UT
$137,000
Cost of living: 2% below average
National Average
$140,000
Salt Lake City is $3,000 below
AI Supply Chain Optimization Engineer salary by city
Salary by role in Salt Lake City
What you should know
Before you negotiate a AI Supply Chain Optimization Engineer offer in Salt Lake City, understand the terrain. 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 ability to apply ML to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design. Engineers who can reduce supply chain costs by measurable percentages through AI-driven decisions earn premiums. Experience with operations research combined with ML provides the most valued skill combination.
Junior supply chain AI engineers start at $90,000 to $110,000. Mid-level engineers building production forecasting systems reach $130,000 to $158,000. Senior engineers designing network-wide optimization platforms earn $165,000 to $200,000. Directors of supply chain AI at major retailers or manufacturers can reach $220,000 to $280,000. 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 12% to 20% tied to cost reduction or service level improvements are common. Equity at supply chain tech companies adds $15,000 to $55,000 annually. Benefits at large retailers and manufacturers include comprehensive packages and product discounts. 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 $137,000, 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 Supply Chain Optimization Engineers in Salt Lake City runs from $103,000 to $174,000. 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 Compliance Analyst in Salt Lake City earns $138,000 (1% more)
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Common questions.
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