AI Supply Chain Optimization Engineer.
Phoenix.
$130,000
median salary, 7% below the national average
$98,000 to $166,000. Last updated April 2026.
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Data points to own the conversation.
The median AI Supply Chain Optimization Engineer salary in Phoenix is $130,000, 7% below the national average. Entry level starts near $98,000. Experienced professionals push past $166,000. Phoenix is one of the fastest growing metros in the U. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $117,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$85,000
to $104,000
Mid (3-5 yrs)
$111,000
to $137,000
Senior (6-9 yrs)
$143,000
to $169,000
Lead (10+ yrs)
$163,000
to $202,000
Salary trend
+7% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $56,000 to the total package.
Base
$130,000
Equity
$34,000
Bonus
$14,000
Signing
$8,000
Estimated total: $186,000
How Phoenix compares
Phoenix, AZ
$130,000
Cost of living: 4% below average
National Average
$140,000
Phoenix is $10,000 below
AI Supply Chain Optimization Engineer salary by city
Salary by role in Phoenix
What you should know
If you are interviewing for AI Supply Chain Optimization Engineer roles in Phoenix, here is what you are walking into. Phoenix is one of the fastest growing metros in the U.S., fueled by semiconductor manufacturing, financial services, and tech company expansions. Intel, TSMC, and other chipmakers have made massive investments in the area. The combination of affordable housing and rising salaries has made Phoenix increasingly attractive to relocating professionals. 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 Phoenix, 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: arizona has a flat 2.5% income tax rate, one of the lowest in the nation. Phoenix has no additional city income tax, making overall take home pay very competitive. When someone quotes you $130,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference the influx of semiconductor and tech employers to justify higher offers. Phoenix salaries are rising fast, and employers know they must compete with coastal recruiters. The range for AI Supply Chain Optimization Engineers in Phoenix runs from $98,000 to $166,000. 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 Governance Analyst in Phoenix earns $129,000 (1% less)
- The highest-paying role in Phoenix is Distinguished Engineer at $307,000
Common questions.
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