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Supply Chain AI Optimization Engineer.

Phoenix.

$199,000

median salary, 3% below the national average

$155,000 to $259,000. Last updated August 2026.

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Data points to own the conversation.

The median Supply Chain AI Optimization Engineer salary in Phoenix is $199,000, 3% below the national average. Entry level starts near $155,000. Experienced professionals push past $259,000. Phoenix is one of the fastest growing metros in the U. That spread is your negotiation window. 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

$155,000

per year

Median

$199,000

per year

75th Percentile

$259,000

per year

Where do you fall?

$155,000$259,000

Orbyt estimate for Supply Chain AI Optimization Engineer in Phoenix, 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 $79,190 for Operations Research Analysts (SOC 15-2031) in the Phoenix-Mesa-Chandler, AZ metropolitan area, based on 1,880 employed workers (May 2025 release).

10th percentile

$52,620

25th percentile

$63,180

Median

$79,190

75th percentile

$99,300

90th percentile

$129,650

Workers surveyed

1,880

Why this differs from the estimate above. The Orbyt estimate of $199,000 is 151% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Operations Research Analysts covers a different population than the Supply Chain AI Optimization 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 Operations Research Analysts (SOC 15-2031) rather than Supply Chain AI Optimization Engineer specifically. The Phoenix 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 15-2031

Salary by experience.

The gap between entry and lead level is typically $179,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$129,000

to $159,000

Mid (3-5 yrs)

$169,000

to $209,000

Senior (6-9 yrs)

$219,000

to $259,000

Lead (10+ yrs)

$249,000

to $308,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $44,000 to the total package.

Base

$199,000

Equity

$24,000

Bonus

$16,000

Signing

$4,000

Estimated total: $243,000

How Phoenix compares.

Phoenix, AZ

$199,000

Cost of living: 4% below average

National Average

$205,000

Phoenix is $6,000 below

Supply Chain AI Optimization Engineer salary by city.

Supply Chain AI Optimization Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$286,000$223,000 to $372,0001.38x$207,000
San Francisco, CA$280,000$218,000 to $364,0001.35x$207,000
Honolulu, HI$269,000$210,000 to $351,0001.30x$207,000
New York, NY$268,000$209,000 to $349,0001.28x$209,000
Seattle, WA$259,000$202,000 to $338,0001.24x$209,000
Newark, NJ$252,000$196,000 to $328,0001.18x$214,000
Washington DC, DC$251,000$196,000 to $327,0001.25x$201,000
Boston, MA$248,000$193,000 to $322,0001.22x$203,000
Los Angeles, CA$239,000$187,000 to $312,0001.18x$203,000
Phoenix, AZ$199,000$155,000 to $259,0000.96x$207,000

See all 81 cities for Supply Chain AI Optimization Engineer →

Salary by role in Phoenix.

Salary comparison by role in Phoenix
RoleMedianRange
CTO$279,000$218,000 to $363,000
General Counsel$271,000$211,000 to $353,000
CEO$264,000$192,000 to $365,000
E6 Engineer$202,000$177,000 to $237,000
L7 Software Engineer$200,000$175,000 to $235,000
Supply Chain AI Optimization Engineer$199,000$155,000 to $259,000
Healthcare AI Researcher$198,000$154,000 to $257,000
Distinguished Engineer$196,000$171,000 to $230,000

What you should know.

Before you negotiate a Supply Chain AI Optimization Engineer offer in Phoenix, understand the terrain. 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. The gap between theoretical knowledge and production deployment experience is the single largest salary differentiator. Supply Chain AI Optimization Engineers who can optimize inference costs, reduce model latency, and handle scale reliably earn significantly more. Published research or open source contributions to widely adopted frameworks create additional leverage in negotiations.

Entry-level Supply Chain AI Optimization Engineers start near $160,000. Mid-career professionals with three to five years of experience reach $205,000 to $267,000. Senior-level roles command $262,000 to $318,000. Management transitions to director-level positions offer $338,000 and above. 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. 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: 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 $199,000, 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 Supply Chain AI Optimization Engineers in Phoenix runs from $155,000 to $259,000. 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

$155,000

Median

$199,000

75th

$259,000

Considering a related role?

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.

The national median for a Supply Chain AI Optimization Engineer is $207,292. In Phoenix, cost of living adjustments push the median to $199,000. That discount reflects Phoenix's lower housing, transportation, and everyday costs.

Lead with data: Supply Chain AI Optimization Engineers in Phoenix earn $155,000 to $259,000, so anchoring your ask near $259,000 gives room to land at the median. 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. Never accept the first number without a conversation.

Supply Chain AI Optimization Engineer compensation in Phoenix has trended upward as demand outpaces supply. The 2026 range of $155,000 to $259,000 reflects a market that rewards specialization. The gap between theoretical knowledge and production deployment experience is the single largest salary differentiator.

Supply Chain AI Optimization Engineer salary in other cities.

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

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