Artificial Intelligence Engineer Vice President information
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$112.5K - $138.5K
1% of jobs
$138.5K - $164.5K
7% of jobs
$177.7K is the 25th percentile. Wages below this are outliers.
$164.5K - $190.5K
33% of jobs
The median wage is $198.4K / yr.
$190.5K - $216.5K
29% of jobs
$224.4K is the 75th percentile. Wages above this are outliers.
$216.5K - $242.5K
15% of jobs
$242.5K - $268.5K
5% of jobs
$268.5K - $294.5K
5% of jobs
$294.5K - $320.5K
3% of jobs
$320.5K - $346.5K
1% of jobs
$346.5K - $372.5K
0% of jobs
$372.5K - $398.5K
0% of jobs
How much do artificial intelligence engineer vice president jobs pay per year?
As of Aug 14, 2026, the average yearly pay for artificial intelligence engineer vice president in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.
As an Artificial Intelligence Engineer Vice President, you will frequently work with data scientists, software engineers, product managers, and business leaders to align AI projects with organizational goals. Your role often involves translating complex technical concepts into actionable business strategies, overseeing project execution, and ensuring regulatory compliance. Building effective communication channels and fostering a collaborative culture are key to successfully leading AI initiatives across departments. This cross-functional collaboration not only enhances innovation but also ensures that AI solutions deliver tangible business value.
Artificial Intelligence Engineer Vice Presidents are senior leaders who oversee AI engineering teams and initiatives within an organization. They are responsible for setting the vision and strategy for AI development, managing large-scale AI projects, and ensuring alignment with business goals. In addition to technical expertise in AI, machine learning, and data science, they possess strong leadership, project management, and communication skills. Their role often involves collaborating with other executives, guiding research and development, and driving innovation in AI technologies.
To thrive as an Artificial Intelligence Engineer Vice President, you need advanced expertise in AI/ML algorithms, data science, and software engineering, supported by a graduate degree in computer science or a related field and significant leadership experience. Mastery of tools like Python, TensorFlow, PyTorch, cloud computing platforms, and knowledge of enterprise-level AI frameworks is typically required, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Exceptional leadership, strategic thinking, and communication skills help drive innovation, align AI initiatives with business goals, and manage high-performing teams. These competencies ensure effective deployment of AI solutions at scale, fostering organizational growth and maintaining a competitive edge in the rapidly evolving tech landscape.
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