AI Engineer
Build Intelligent Systems
Solve Complex Problems
Shape Future Technology
Undergraduate
Bachelor of Science in Data Science and Artificial Intelligence
Graduate
No degrees available
Post-Graduate
No degrees available
This is the educational pathway. There may be additional tests or licensure requirements necessary before begining to practice in the field. Consult your state guidelines for more. information.
Career Reality
Average Salary
The median annual wage for computer and information research scientists, a category that includes many AI engineering roles, was $145,080 in May 2024, according to the U.S. Bureau of Labor Statistics.
Job Market Demand
Employment of computer and information research scientists is projected to grow about 26 percent from 2023 to 2033, much faster than average, driven by rapid expansion of artificial intelligence technologies.
Work Environment
AI engineers work in technology companies, research labs, startups, financial institutions, and large corporations developing data-driven products and automation systems.
Common Employers
Technology companies, AI startups, financial services firms, healthcare technology companies, research organizations, and consulting firms.
Career Advancement
Advancement may include senior AI engineer, machine learning architect, AI research scientist, or leadership roles such as director of AI or chief AI officer.
Popular Titles
Core Areas of Impact
Is this career right for you?
What is the role of an AI engineer?
An AI engineer develops artificial intelligence systems that can learn from data, automate tasks, and make predictions or decisions. This includes designing machine learning models, building AI applications, and deploying intelligent systems into real-world products.
What does a typical day look like?
A typical day includes developing machine learning models, training algorithms on large datasets, testing system performance, refining code, and collaborating with software engineers and data scientists.
Where do AI engineers work?
AI engineers work in technology companies, research labs, financial institutions, healthcare technology firms, consulting companies, and startups developing AI-powered products.
What are the common job titles and career paths?
Common roles include Machine Learning Engineer and AI Developer. Career paths may lead to AI architecture roles, research positions, or leadership roles overseeing artificial intelligence strategy.
Who is this career a good fit for?
This career suits individuals who enjoy programming, mathematics, advanced problem solving, and working with emerging technologies.
What are the biggest rewards of this career?
Rewards include high earning potential, strong job demand, involvement in cutting-edge technology, and the opportunity to build systems that transform industries.
What does long-term growth look like?
Long-term growth may include leadership in artificial intelligence teams, research and innovation roles, or executive leadership guiding AI strategy within organizations.
What is the educational pathway to become an AI engineer?
Most AI engineers hold a bachelor’s degree in artificial intelligence, computer science, data science, mathematics, or a related technical field. Strong programming, machine learning, and statistical modeling skills are essential. Many professionals also pursue graduate study in artificial intelligence or machine learning as the field advances.
Sara Schenirer offers a Bachelor’s in Data Science and Artificial Intelligence through St. Peter’s University, which provides training in programming, machine learning, data modeling, and advanced analytics. This program builds the technical foundation required for careers in artificial intelligence engineering.
The standard pathway includes completion of a technical bachelor’s degree, development of machine learning and programming expertise, and practical experience building AI systems.
