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Supply Chain AI Optimization Engineer.

St. Louis.

$188,000

median salary, 8% below the national average

$147,000 to $245,000. Last updated August 2026.

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Data points to own the conversation.

St. Louis is 10% cheaper than the national average. For Supply Chain AI Optimization Engineers, that shakes out to a median of $188,000, with the full range spanning $147,000 to $245,000. The gap between theoretical knowledge and production deployment experience is the single largest salary differentiator. 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

$147,000

per year

Median

$188,000

per year

75th Percentile

$245,000

per year

Where do you fall?

$147,000$245,000

Orbyt estimate for Supply Chain AI Optimization Engineer in St. Louis, 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 $63,650 for Operations Research Analysts (SOC 15-2031) in the St. Louis, MO-IL metropolitan area, based on 900 employed workers (May 2025 release).

10th percentile

$49,180

25th percentile

$52,530

Median

$63,650

75th percentile

$95,410

90th percentile

$125,800

Workers surveyed

900

Why this differs from the estimate above. The Orbyt estimate of $188,000 is 195% 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 St. Louis 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 $169,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$122,000

to $150,000

Mid (3-5 yrs)

$160,000

to $197,000

Senior (6-9 yrs)

$207,000

to $244,000

Lead (10+ yrs)

$235,000

to $291,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $42,000 to the total package.

Base

$188,000

Equity

$23,000

Bonus

$15,000

Signing

$4,000

Estimated total: $230,000

How St. Louis compares.

St. Louis, MO

$188,000

Cost of living: 10% below average

National Average

$205,000

St. Louis is $17,000 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
St. Louis, MO$188,000$147,000 to $245,0000.90x$209,000

See all 81 cities for Supply Chain AI Optimization Engineer →

Salary by role in St. Louis.

Salary comparison by role in St. Louis
RoleMedianRange
CTO$278,000$217,000 to $362,000
General Counsel$255,000$198,000 to $331,000
CEO$255,000$185,000 to $352,000
Healthcare AI Researcher$191,000$149,000 to $248,000
Distinguished Engineer$189,000$166,000 to $222,000
Supply Chain AI Optimization Engineer$188,000$147,000 to $245,000
EV Battery AI Optimization Engineer$188,000$147,000 to $245,000
Grid Optimization AI Specialist$185,000$145,000 to $241,000

What you should know.

Here is what the Supply Chain AI Optimization Engineer market actually looks like in St. Louis. St. Louis offers one of the most affordable major metro areas in the country, with a strong base in healthcare, financial services, and manufacturing. The region's anchor employers include Boeing, Centene, and Washington University's medical campus. A growing biotech and plant sciences corridor centered on the Cortex Innovation District is attracting new investment and talent. 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 St. Louis, 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: missouri's top income tax rate is about 4.8%, and St. Louis City adds a 1% earnings tax. The low base cost of living means your after tax salary still stretches further than in most metros. When someone quotes you $188,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs. The range for Supply Chain AI Optimization Engineers in St. Louis runs from $147,000 to $245,000. 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

$147,000

Median

$188,000

75th

$245,000

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.

In 2026, the average Supply Chain AI Optimization Engineer salary in St. Louis, MO is $188,000. The estimated range runs from $147,000 to $245,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Relevant certifications can add 5 to 15% to a Supply Chain AI Optimization Engineer's base salary in St. Louis. Specifically, the gap between theoretical knowledge and production deployment experience is the single largest salary differentiator. In a market where the range spans $147,000 to $245,000, certifications often bridge the gap between the median and the top of the range.

St. Louis's economy is driven by Healthcare, Defense & Aerospace, Financial Services, and Plant Sciences & Biotech. Supply Chain AI Optimization Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

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. In St. Louis, these factors can push compensation from $147,000 to $245,000 or beyond.

St. Louis offers one of the most affordable major metro areas in the country, with a strong base in healthcare, financial services, and manufacturing. For Supply Chain AI Optimization Engineers specifically, the gap between theoretical knowledge and production deployment experience is the single largest salary differentiator, which signals sustained demand. The current compensation range of $147,000 to $245,000 reflects a market that is competing for talent.

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"Supply Chain AI Optimization Engineer Salary in St. Louis, MO." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/supply-chain-ai-optimization-engineer/st-louis

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