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AI Risk Analytics Engineer.

Pittsburgh.

$190,000

median salary, 12% below the national average

$148,000 to $247,000. Last updated August 2026.

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Data points to own the conversation.

Orbyt estimates AI Risk Analytics Engineer pay in Pittsburgh at $190,000, within a range of $148,000 to $247,000. That is 12% below the national average. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. 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.

25th Percentile

$148,000

per year

Median

$190,000

per year

75th Percentile

$247,000

per year

Where do you fall?

$148,000$247,000

Orbyt estimate for AI Risk Analytics Engineer in Pittsburgh, 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 $96,670 for Data Scientists (SOC 15-2051) in the Pittsburgh, PA metropolitan area, based on 2,270 employed workers (May 2025 release).

10th percentile

$60,580

25th percentile

$72,800

Median

$96,670

75th percentile

$127,250

90th percentile

$157,600

Workers surveyed

2,270

Why this differs from the estimate above. The Orbyt estimate of $190,000 is 97% 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 Pittsburgh 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 15-2051

Salary by experience.

The gap between entry and lead level is typically $171,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$124,000

to $152,000

Mid (3-5 yrs)

$162,000

to $200,000

Senior (6-9 yrs)

$209,000

to $247,000

Lead (10+ yrs)

$238,000

to $295,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $81,000 to the total package.

Base

$190,000

Equity

$49,000

Bonus

$21,000

Signing

$11,000

Estimated total: $271,000

How Pittsburgh compares.

Pittsburgh, PA

$190,000

Cost of living: 8% below average

National Average

$215,000

Pittsburgh is $25,000 below

AI Risk Analytics Engineer salary by city.

AI Risk Analytics Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$303,000$236,000 to $394,0001.38x$220,000
San Francisco, CA$290,000$227,000 to $378,0001.35x$215,000
Honolulu, HI$285,000$223,000 to $371,0001.30x$219,000
New York, NY$283,000$221,000 to $369,0001.28x$221,000
Washington DC, DC$274,000$214,000 to $357,0001.25x$219,000
Seattle, WA$269,000$210,000 to $351,0001.24x$217,000
Newark, NJ$256,000$200,000 to $334,0001.18x$217,000
Boston, MA$252,000$197,000 to $328,0001.22x$207,000
San Diego, CA$252,000$197,000 to $328,0001.17x$215,000
Pittsburgh, PA$190,000$148,000 to $247,0000.92x$207,000

See all 81 cities for AI Risk Analytics Engineer →

Salary by role in Pittsburgh.

Salary comparison by role in Pittsburgh
RoleMedianRange
CTO$265,000$207,000 to $344,000
CEO$250,000$182,000 to $346,000
General Counsel$247,000$193,000 to $321,000
Technical Fellow$191,000$168,000 to $225,000
E6 Engineer$191,000$168,000 to $225,000
AI Risk Analytics Engineer$190,000$148,000 to $247,000
EV Battery AI Optimization Engineer$190,000$149,000 to $248,000
Grid Optimization AI Specialist$189,000$148,000 to $246,000

What you should know.

If you are interviewing for AI Risk Analytics Engineer roles in Pittsburgh, here is what you are walking into. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. The city's low cost of living combined with world class research institutions makes it a hidden gem for technology professionals. 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 Pittsburgh, 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. 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: pennsylvania's flat 3.07% state tax is low, but Pittsburgh adds a local earned income tax of about 3%. Combined with the school district tax, local taxes require attention in negotiations. When someone quotes you $190,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills. The range for AI Risk Analytics Engineers in Pittsburgh runs from $148,000 to $247,000. 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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$

25th

$148,000

Median

$190,000

75th

$247,000

Considering a related role?

Common questions.

Production deployment experience, published research or open source contributions, and expertise with the latest model architectures command the highest premiums. Proficiency in Python, PyTorch, and cloud ML platforms is baseline. Experience with LLM fine-tuning, RLHF, and inference optimization is increasingly differentiated.

AI labs and foundation model companies pay 20% to 40% more than enterprises. Well-funded AI startups offer competitive base salaries with significant equity upside. Large tech companies provide the most stable total compensation packages with strong equity vesting schedules.

The national median for an AI Risk Analytics Engineer is $206,522. In Pittsburgh, cost of living adjustments push the median to $190,000. That discount reflects Pittsburgh's lower housing, transportation, and everyday costs.

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. In Pittsburgh's market, the base range of $148,000 to $247,000 is just the starting point for negotiation.

Pittsburgh's economy is driven by Robotics & AI, Healthcare, Higher Education, and Financial Services. AI Risk Analytics Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

Pittsburgh's cost of living is near the national average. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $190,000 salary here buys a different lifestyle than the same number in another market.

AI Risk Analytics Engineer salary in other cities.

Other salaries in Pittsburgh.

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"AI Risk Analytics Engineer Salary in Pittsburgh, PA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-risk-analytics-engineer/pittsburgh

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