As of August 2026, the average salary for Lead AI Engineer at Arkane Studios in the United States is $162,316 per year, which is equivalent to an hourly rate of approximately $78. Most salaries for this position fall within the range of $149,593 to $177,848 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Arkane Studios. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$442,976 / year
Salary Range: $348,543 - $562,354
Executive
$177,209 / year
Salary Range: $161,563 - $191,524
Engineering Management
$172,124 / year
Salary Range: $164,632 - $178,508
Operations
$142,626 / year
Salary Range: $124,801 - $161,057
Production Control
$135,324 / year
Salary Range: $123,341 - $147,181
Application Programming
$133,003 / year
Salary Range: $120,639 - $145,160
Software Architecture
$131,464 / year
Salary Range: $118,947 - $139,936
Information Technology
$130,355 / year
Salary Range: $111,876 - $153,396
Art Direction
$129,585 / year
Salary Range: $121,221 - $138,228
Software Development
$129,263 / year
Salary Range: $117,814 - $138,628
Information Technology
$123,380 / year
Salary Range: $102,252 - $158,196
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To succeed and maximize your earning potential as a Lead AI Engineer at Arkane Studios, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Algorithms | Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
|
|
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
Understanding the career path for an Lead AI Engineer can help you plan long-term professional growth. Below is a typical career progression for an Lead AI Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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