AI Cost Engineer.
Seattle.
$174,000
median salary, 20% above the national average
$132,000 to $219,000. Last updated April 2026.
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Data points to own the conversation.
The median AI Cost Engineer salary in Seattle is $174,000, 20% above the national average. Entry level starts near $132,000. Experienced professionals push past $219,000. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $157,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$113,000
to $139,000
Mid (3-5 yrs)
$148,000
to $183,000
Senior (6-9 yrs)
$191,000
to $226,000
Lead (10+ yrs)
$218,000
to $270,000
Salary trend
+9% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $80,000 to the total package.
Base
$174,000
Equity
$49,000
Bonus
$21,000
Signing
$10,000
Estimated total: $254,000
How Seattle compares
Seattle, WA
$174,000
Cost of living: 24% above average
National Average
$145,000
Seattle is $29,000 above
AI Cost Engineer salary by city
Salary by role in Seattle
What you should know
Before you negotiate a AI Cost 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 reflects the growing importance of managing AI infrastructure costs as organizations scale LLM and ML deployments. Engineers who can reduce inference costs by 30% to 50% through model optimization, caching, and routing strategies command premiums. Experience with GPU fleet management, spot instance optimization, and model distillation adds value.
Junior cost engineers start at $95,000 to $115,000. Mid-level engineers building cost optimization pipelines reach $135,000 to $160,000. Senior engineers designing organization-wide AI cost management platforms earn $170,000 to $210,000. Directors of AI infrastructure efficiency can reach $230,000 to $280,000. 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. Performance bonuses of 15% to 25% tied directly to cost reduction achievements are common. Some companies offer a percentage of documented savings as a bonus. Equity at AI infrastructure companies adds $20,000 to $60,000 annually. Cloud vendor certifications often come with training budget support. 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 $174,000, 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 Cost Engineers in Seattle runs from $132,000 to $219,000. 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 Marketing Technologist in Seattle earns $175,000 (1% more)
- The highest-paying role in Seattle is Distinguished Engineer at $401,000
Common questions.
AI Cost Engineer salary in other cities
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