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

AI Supply Chain Optimization Engineer.

Richmond.

$143,000

median salary, 2% above the national average

$107,000 to $182,000. Last updated April 2026.

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Data points to own the conversation.

A AI Supply Chain Optimization Engineer in Richmond earns a median of $143,000 in 2026. That is 2% above the national average. The range runs from $107,000 to $182,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation reflects the ability to apply ML to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design.

Salary range

25th Percentile

$107,000

per year

Median

$143,000

per year

75th Percentile

$182,000

per year

Where do you fall?

$107,000$182,000

Salary by experience

The gap between entry and lead level is typically $129,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$93,000

to $114,000

Mid (3-5 yrs)

$122,000

to $150,000

Senior (6-9 yrs)

$157,000

to $186,000

Lead (10+ yrs)

$179,000

to $222,000

Salary trend

+7% YoY
$109,000
2022
$117,000
2023
$125,000
2024
$134,000
2025
$143,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $62,000 to the total package.

Base

$143,000

Equity

$37,000

Bonus

$16,000

Signing

$9,000

Estimated total: $205,000

How Richmond compares

Richmond, VA

$143,000

Cost of living: 1% above average

National Average

$140,000

Richmond is $3,000 above

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
Richmond, VA$143,000$107,000 – $182,0001.01x$142,000

See all 83 cities for AI Supply Chain Optimization Engineer →

Salary by role in Richmond

Salary comparison by role in Richmond
RoleMedianRange
Distinguished Engineer$323,000$245,000 – $411,000
Chief AI Officer$316,000$235,000 – $408,000
VP of AI$305,000$231,000 – $399,000
AI Supply Chain Optimization Engineer$143,000$107,000 – $182,000
Product Manager$143,000$112,000 – $182,000
Design Engineer$143,000$109,000 – $187,000
AI Audio Engineer$143,000$107,000 – $182,000
AI Healthcare Data Engineer$143,000$107,000 – $182,000

What you should know

Here is what the AI Supply Chain Optimization Engineer market actually looks like in Richmond. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. 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 Richmond, 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: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $143,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for AI Supply Chain Optimization Engineers in Richmond runs from $107,000 to $182,000. 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 Richmond.

$

25th

$107,000

Median

$143,000

75th

$182,000

Considering a related role?

  • A AI Compliance Analyst in Richmond earns $142,000 (1% less)
  • The highest-paying role in Richmond is Distinguished Engineer at $323,000

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.

Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. For AI Supply Chain Optimization Engineers specifically, the median salary of $143,000 reflects that demand.

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 Richmond, these factors can push compensation from the 25th percentile of $107,000 to the 75th percentile of $182,000 or beyond.

In 2026, the average AI Supply Chain Optimization Engineer salary in Richmond, VA is $143,000. The 25th percentile sits at $107,000 and the 75th percentile reaches $182,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

AI Supply Chain Optimization Engineer salary in other cities

Fargo$120,000
Houston$133,000
Hartford$154,000
Honolulu$187,000
Indianapolis$124,000
Jackson$111,000

Other salaries in Richmond

LLM Engineer$200,000
LLM Fine-Tuning Engineer$187,000
LLM Operations Engineer$152,000
Machine Learning Engineer$163,000

Related

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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 Richmond, VA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-supply-chain-optimization-engineer/richmond

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