AI Infrastructure Engineer.
Richmond.
$188,000
median salary, 1% below the national average
$144,000 to $243,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Here is what AI Infrastructure Engineers actually make in Richmond: $144,000 at the 25th percentile, $188,000 at the median, and $243,000 at the 75th. That is 1% below the national average. Richmond combines a strong government and defense sector with growing technology and financial services industries. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
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
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $78,000 to the total package.
Base
$188,000
Equity
$47,000
Bonus
$20,000
Signing
$11,000
Estimated total: $266,000
How Richmond compares
Richmond, VA
$188,000
Cost of living: 1% above average
National Average
$190,000
Richmond is $2,000 below
AI Infrastructure Engineer salary by city
Salary by role in Richmond
What you should know
If you are interviewing for AI Infrastructure Engineer roles in Richmond, here is what you are walking into. 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. Expertise in GPU cluster management, model serving optimization, and distributed training infrastructure drives compensation. Engineers who reduce inference costs and latency while maintaining reliability are highly valued. Experience with Kubernetes for ML workloads, custom hardware accelerators, and cost optimization at scale adds significant premiums across all employer types.
Junior AI infrastructure engineers start at $125,000 to $155,000. Mid level engineers managing production clusters earn $170,000 to $215,000. Senior engineers reach $215,000 to $270,000. Staff and principal AI infrastructure engineers at top labs can exceed $380,000 in total compensation. 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 at AI companies adds 25 to 45% of total compensation. Bonuses of 15 to 25% are standard. Signing bonuses of $30,000 to $75,000 are common at frontier labs. Benefits frequently include hardware experimentation budgets and cloud compute allowances. 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 $188,000, 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 Infrastructure Engineers in Richmond runs from $144,000 to $243,000. 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 LLM Fine-Tuning Engineer in Richmond earns $187,000 (1% less)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
AI Infrastructure Engineer salary in other cities
Other salaries in Richmond
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