AI Analytics Engineer.
Richmond.
$138,000
median salary, 3% below the national average
$105,000 to $179,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Richmond is 1% more expensive than the national average. For AI Analytics Engineers, that shakes out to a median of $138,000, with the full range spanning $105,000 to $179,000. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Know the range before you walk in.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $124,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$90,000
to $110,000
Mid (3-5 yrs)
$117,000
to $145,000
Senior (6-9 yrs)
$152,000
to $179,000
Lead (10+ yrs)
$173,000
to $214,000
Salary trend
+6% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $67,000 to the total package.
Base
$138,000
Equity
$41,000
Bonus
$18,000
Signing
$8,000
Estimated total: $205,000
How Richmond compares
Richmond, VA
$138,000
Cost of living: 1% above average
National Average
$142,000
Richmond is $4,000 below
AI Analytics Engineer salary by city
Salary by role in Richmond
What you should know
Here is what the AI Analytics 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. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Experience with experiment tracking, model monitoring, and A/B testing frameworks adds 10 to 15% to compensation. Companies in fintech and healthcare pay above-market rates for this role.
Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000. 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. Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more. 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 $138,000, 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 Analytics Engineers in Richmond runs from $105,000 to $179,000. 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 Supply Chain Analyst in Richmond earns $139,000 (1% more)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
AI Analytics Engineer salary in other cities
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