AI Risk Manager.
Washington DC.
$210,000
median salary, 20% above the national average
$162,000 to $270,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
A AI Risk Manager in Washington DC earns a median of $210,000 in 2026. That is 20% above the national average. The range runs from $162,000 to $270,000, and where you land depends on your experience, your skills, and how well you negotiate. Pay is driven by expertise in AI-specific risk frameworks, including model risk management, adversarial robustness, and deployment safety protocols.
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 $91,000 to the total package.
Base
$210,000
Equity
$55,000
Bonus
$23,000
Signing
$13,000
Estimated total: $301,000
How Washington DC compares
Washington DC, DC
$210,000
Cost of living: 25% above average
National Average
$175,000
Washington DC is $35,000 above
AI Risk Manager salary by city
Salary by role in Washington DC
What you should know
Here is what the AI Risk Manager market actually looks like in Washington DC. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. Pay is driven by expertise in AI-specific risk frameworks, including model risk management, adversarial robustness, and deployment safety protocols. Managers with experience in regulated industries like banking or healthcare earn 15 to 20% more. Ability to quantify AI risk in financial terms is a key salary differentiator.
Junior AI risk analysts start at $95,000 to $120,000. AI risk managers earn $135,000 to $175,000. Senior risk managers reach $190,000 to $250,000, and chief AI risk officers or VP-level roles at financial institutions command $270,000 to $400,000 in total compensation. In Washington DC, those numbers run higher. The cost of living here is 25% above average, and employers adjust to compete.
Base salary is not the full picture. Annual bonuses of 15 to 25% are standard in financial services. Equity at AI companies adds $30,000 to $70,000 annually. Retention bonuses are common due to the scarcity of professionals combining risk management expertise with AI technical knowledge. And on the tax side: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. 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: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for AI Risk Managers in Washington DC runs from $162,000 to $270,000. 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 Fintech Product Manager in Washington DC earns $209,000 (0% more)
- The highest-paying role in Washington DC is Chief AI Officer at $395,000
Common questions.
AI Risk Manager salary in other cities
Other salaries in Washington DC
Related
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
Want this data on your site? Embed the salary widget — one script tag, free forever.