AI Risk Analytics Engineer.
Seattle.
$269,000
median salary, 25% above the national average
$210,000 to $351,000. Last updated August 2026.
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Data points to own the conversation.
Orbyt estimates AI Risk Analytics Engineer pay in Seattle at $269,000, within a range of $210,000 to $351,000. That is 25% above the national average. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.
Salary range.
Where do you fall?
Orbyt estimate for AI Risk Analytics Engineer in Seattle, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $164,740 for Data Scientists (SOC 15-2051) in the Seattle-Tacoma-Bellevue, WA metropolitan area, based on 8,370 employed workers (May 2025 release).
10th percentile
$81,130
25th percentile
$108,740
Median
$164,740
75th percentile
$210,370
90th percentile
$230,980
Workers surveyed
8,370
Why this differs from the estimate above. The Orbyt estimate of $269,000 is 63% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Data Scientists covers a different population than the AI Risk Analytics Engineer title as it is typically advertised. Both are shown, unreconciled, so you can judge which one describes the job you mean.
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Data Scientists (SOC 15-2051) rather than AI Risk Analytics Engineer specifically. The Seattle range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-2051Salary by experience.
The gap between entry and lead level is typically $242,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$175,000
to $215,000
Mid (3-5 yrs)
$229,000
to $282,000
Senior (6-9 yrs)
$296,000
to $350,000
Lead (10+ yrs)
$336,000
to $417,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $116,000 to the total package.
Base
$269,000
Equity
$70,000
Bonus
$30,000
Signing
$16,000
Estimated total: $385,000
How Seattle compares.
Seattle, WA
$269,000
Cost of living: 24% above average
National Average
$215,000
Seattle is $54,000 above
AI Risk Analytics Engineer salary by city.
Salary by role in Seattle.
What you should know.
If you are interviewing for AI Risk Analytics 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. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. AI Risk Analytics Engineers who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use.
Entry-level AI Risk Analytics Engineers start near $168,000. Mid-career professionals with three to five years of experience reach $215,000 to $280,000. Senior-level roles command $275,000 to $333,000. Management transitions to director-level positions offer $355,000 and above. 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 at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. 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 $269,000, 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 Risk Analytics Engineers in Seattle runs from $210,000 to $351,000. 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). 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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Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"AI Risk Analytics Engineer Salary in Seattle, WA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-risk-analytics-engineer/seattle
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