AI DevOps Engineer.
Seattle.
$210,000
median salary, 20% above the national average
$162,000 to $271,000. Last updated April 2026.
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Data points to own the conversation.
AI DevOps Engineer pay in Seattle ranges from $162,000 to $271,000 in 2026. The median is $210,000, 20% above the national average. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $189,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$137,000
to $168,000
Mid (3-5 yrs)
$179,000
to $221,000
Senior (6-9 yrs)
$231,000
to $273,000
Lead (10+ yrs)
$263,000
to $326,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $94,000 to the total package.
Base
$210,000
Equity
$57,000
Bonus
$24,000
Signing
$13,000
Estimated total: $304,000
How Seattle compares
Seattle, WA
$210,000
Cost of living: 24% above average
National Average
$175,000
Seattle is $35,000 above
AI DevOps Engineer salary by city
Salary by role in Seattle
What you should know
If you are interviewing for AI DevOps Engineer roles in Seattle, here is what you are walking into. 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. Pay depends on expertise managing GPU clusters, ML pipeline CI/CD, and model deployment automation. Engineers who can optimize inference serving costs while maintaining latency SLAs are especially valued. Experience with container orchestration for heterogeneous compute environments adds 10 to 15% to base compensation.
Junior MLOps engineers start at $95,000 to $120,000. AI DevOps engineers earn $135,000 to $175,000. Senior roles reach $190,000 to $240,000, and principal AI infrastructure engineers at large companies command $260,000 to $340,000 in 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. Annual bonuses range from 10 to 15% of base salary. Equity is standard at AI-focused companies, typically valued at $20,000 to $60,000 per year. On-call compensation or additional stipends may apply for production ML systems. 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 $210,000, 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 DevOps Engineers in Seattle runs from $162,000 to $271,000. 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/GenAI Sales Engineer in Seattle earns $211,000 (0% more)
- The highest-paying role in Seattle is Chief AI Officer at $377,000
Common questions.
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