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  1. Home/
  2. Salaries/
  3. AI Supply Chain Optimization Engineer/
  4. Phoenix

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

25th Percentile

$98,000

per year

Median

$130,000

per year

75th Percentile

$166,000

per year

Where do you fall?

$98,000$166,000

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% YoY
$99,000
2022
$106,000
2023
$114,000
2024
$121,000
2025
$130,000
2026

Total 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

AI Supply Chain Optimization Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$199,000$149,000 – $253,0001.38x$144,000
San Francisco, CA$197,000$147,000 – $250,0001.35x$146,000
Honolulu, HI$187,000$141,000 – $238,0001.30x$144,000
New York, NY$186,000$140,000 – $237,0001.28x$145,000
Boston, MA$176,000$132,000 – $224,0001.22x$144,000
Jersey City, NJ$171,000$129,000 – $218,0001.20x$143,000
Seattle, WA$170,000$128,000 – $216,0001.24x$137,000
Washington DC, DC$170,000$127,000 – $216,0001.25x$136,000
Los Angeles, CA$169,000$126,000 – $214,0001.18x$143,000
Phoenix, AZ$130,000$98,000 – $166,0000.96x$135,000

See all 83 cities for AI Supply Chain Optimization Engineer →

Salary by role in Phoenix

Salary comparison by role in Phoenix
RoleMedianRange
Distinguished Engineer$307,000$233,000 – $391,000
Chief AI Officer$304,000$225,000 – $392,000
Chief Data & AI Officer$295,000$220,000 – $384,000
Attorney / Lawyer$131,000$87,000 – $188,000
AI Supply Chain Optimization Engineer$130,000$98,000 – $166,000
Text Analytics Engineer$130,000$99,000 – $171,000
AI Fairness Engineer$130,000$99,000 – $165,000
AI Logistics Engineer$130,000$96,000 – $165,000

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

Interactive

Is your offer competitive?

Enter your AI Supply Chain Optimization Engineer offer to see where you stand in Phoenix.

$

25th

$98,000

Median

$130,000

75th

$166,000

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.

Supply chain AI deals with cascading dependencies, long lead times, and the need to optimize across multiple objectives simultaneously (cost, service level, sustainability). The problems are inherently combinatorial and require operations research techniques alongside ML. Physical constraints (warehouse capacity, transportation routes, production schedules) make the optimization landscape uniquely complex.

Retail and e-commerce lead in adoption due to high SKU counts and demand variability. Manufacturing, especially automotive and electronics, invest heavily in production planning AI. Pharmaceutical supply chains use AI for temperature-sensitive logistics and demand forecasting. Food and beverage companies apply AI to perishable inventory optimization.

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. In Phoenix, these factors can push compensation from the 25th percentile of $98,000 to the 75th percentile of $166,000 or beyond.

In 2026, the average AI Supply Chain Optimization Engineer salary in Phoenix, AZ is $130,000. The 25th percentile sits at $98,000 and the 75th percentile reaches $166,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for AI Supply Chain Optimization Engineers. Some Phoenix employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Phoenix's moderate cost market, remote and local salaries are converging. The $98,000 to $166,000 range reflects both arrangements.

AI Supply Chain Optimization Engineer salary in other cities

Indianapolis$124,000
Jackson$111,000
Jersey City$171,000
Kansas City$129,000
Knoxville$128,000
Los Angeles$169,000

Other salaries in Phoenix

LLM Engineer$184,000
LLM Fine-Tuning Engineer$185,000
LLM Operations Engineer$152,000
Machine Learning Engineer$144,000

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Supply Chain Optimization Engineer Salary in Phoenix, AZ." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-supply-chain-optimization-engineer/phoenix

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