AI Platform Engineer.
Seattle.
$229,000
median salary, 21% above the national average
$174,000 to $295,000. Last updated July 2026.
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Data points to own the conversation.
Here is what AI Platform Engineers actually make in Seattle: $174,000 at the 25th percentile, $229,000 at the median, and $295,000 at the 75th. That is 21% above the national average. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. 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 $206,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$149,000
to $183,000
Mid (3-5 yrs)
$195,000
to $240,000
Senior (6-9 yrs)
$252,000
to $298,000
Lead (10+ yrs)
$286,000
to $355,000
Salary trend.
+7% YoYTotal compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $109,000 to the total package.
Base
$229,000
Equity
$66,000
Bonus
$29,000
Signing
$14,000
Estimated total: $338,000
AI Platform Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings, state pay-transparency job postings, and community-submitted compensation data.
How Seattle compares.
Seattle, WA
$229,000
Cost of living: 24% above average
National Average
$190,000
Seattle is $39,000 above
AI Platform Engineer salary by city.
Salary by role in Seattle.
What you should know.
Before you negotiate an AI Platform Engineer offer in Seattle, understand the terrain. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. Seattle's job market is particularly strong for cloud infrastructure, machine learning, and enterprise software roles. Compensation scales with experience building internal ML platforms that serve multiple teams. Engineers who have designed self-service model training and deployment systems earn top-tier pay. Expertise in Kubernetes-based ML orchestration, feature stores, and model registries drives significant salary differentiation.
Junior platform engineers start at $110,000 to $135,000. Mid-level AI platform engineers earn $145,000 to $190,000. Senior roles reach $210,000 to $280,000, and staff-level platform architects at major tech companies command $300,000 to $420,000 total compensation. In Seattle, those numbers run higher. The cost of living here is 24% above average, and employers adjust to compete.
Base salary is not the full picture. Equity grants are substantial at AI companies, often adding 25 to 40% above base salary. Signing bonuses of $25,000 to $60,000 are common, with annual refreshers tied to platform adoption metrics and team productivity gains. And on the tax side: washington State has no personal income tax, which significantly boosts take home pay. However, state and local sales taxes are among the highest in the country at roughly 10.25%. When someone quotes you $229,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California. The range for AI Platform Engineers in Seattle runs from $174,000 to $295,000. 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), state pay-transparency job postings, and community submissions. 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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Common questions.
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