Artificial Intelligence Practice Lead information
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$36.54 - $40.82
1% of jobs
$40.82 - $45.10
6% of jobs
$45.10 - $49.39
13% of jobs
$50.95 is the 25th percentile. Wages below this are outliers.
$49.39 - $53.67
14% of jobs
$53.67 - $57.95
11% of jobs
The median wage is $59.64 / hr.
$57.95 - $62.24
15% of jobs
$62.24 - $66.52
13% of jobs
$67.45 is the 75th percentile. Wages above this are outliers.
$66.52 - $70.80
16% of jobs
$70.80 - $75.09
6% of jobs
$75.09 - $79.37
3% of jobs
$79.37 - $83.65
3% of jobs
How much do artificial intelligence practice lead jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for artificial intelligence practice lead in the United States is $61.14, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $67.31 per hour, depending on experience, location, and employer.
An Artificial Intelligence Practice Lead is a senior professional responsible for guiding and overseeing an organization's AI initiatives. They develop strategies for implementing AI technologies, manage teams of data scientists and engineers, and ensure that AI projects align with business goals. Additionally, they stay current with advances in AI, advise on best practices, and help organizations adopt ethical and effective AI solutions.
To thrive as an Artificial Intelligence Practice Lead, you need deep expertise in AI/ML concepts, data science, and solution architecture, typically supported by an advanced degree in computer science or engineering. Familiarity with machine learning frameworks (such as TensorFlow and PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., AWS Certified Machine Learning) is highly valuable. Strong leadership, strategic thinking, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders are crucial soft skills. These competencies enable you to drive innovation, lead cross-functional teams, and deliver impactful AI solutions that align with business goals.
An Artificial Intelligence Practice Lead often works closely with cross-functional teams, including data scientists, software engineers, business analysts, and executive stakeholders. They facilitate communication between technical teams and business units to ensure AI solutions align with organizational goals. Regularly, they lead workshops, oversee project progress, and help translate business problems into AI-driven solutions. This collaborative approach helps accelerate the adoption of AI technologies across the organization and ensures successful project delivery.
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