Conversational AI Engineer.
Minneapolis.
$144,000
median salary, 8% above the national average
$107,000 to $188,000. Last updated July 2026.
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Data points to own the conversation.
Here is what Conversational AI Engineers actually make in Minneapolis: $107,000 at the 25th percentile, $144,000 at the median, and $188,000 at the 75th. That is 8% above the national average. Minneapolis is a Fortune 500 powerhouse with Target, UnitedHealth Group, Best Buy, and 3M headquartered in the metro. 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 $129,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$94,000
to $115,000
Mid (3-5 yrs)
$122,000
to $151,000
Senior (6-9 yrs)
$158,000
to $187,000
Lead (10+ yrs)
$180,000
to $223,000
Salary trend.
+7% YoYTotal compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $36,000 to the total package.
Base
$144,000
Equity
$20,000
Bonus
$13,000
Signing
$3,000
Estimated total: $180,000
How Minneapolis compares.
Minneapolis, MN
$144,000
Cost of living: 5% above average
National Average
$133,000
Minneapolis is $11,000 above
Conversational AI Engineer salary by city.
Salary by role in Minneapolis.
What you should know.
If you are interviewing for Conversational AI Engineer roles in Minneapolis, here is what you are walking into. Minneapolis is a Fortune 500 powerhouse with Target, UnitedHealth Group, Best Buy, and 3M headquartered in the metro. The city's strong corporate base creates consistent demand across finance, healthcare, retail tech, and supply chain roles. Quality of life is high, and employers offer competitive salaries to offset the cold winters. Compensation for Conversational AI Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector Conversational AI Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 67%+ variance across the compensation band.
Conversational AI Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth. In Minneapolis, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Total compensation for Conversational AI Engineers runs roughly $223K at median when factoring base + equity (25% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included. And on the tax side: minnesota's top income tax rate is 9.85%, one of the highest state rates. There is no city income tax in Minneapolis, but the state burden significantly reduces take home pay. When someone quotes you $144,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Emphasize retention risk when negotiating. Minneapolis employers know that remote opportunities from warmer, lower tax states are a constant competitive threat. The range for Conversational AI Engineers in Minneapolis runs from $107,000 to $188,000. 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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