How to become an AI engineer

Interested in a career as an AI engineer? Learn about the skills, education, and experience that can help you prepare for your first role.

Key takeaways

  • To become an AI engineer, you typically need a bachelor's degree in software engineering, computer science or a related field.
  • edX offers AI courses and professional certificates that build skills in machine learning, data processing, and AI systems through flexible online learning.
  • AI engineering roles draw on high-demand skills in automation and machine learning, with strong growth tied to a 20% increase in computer and information research roles from 2024 to 2034, according to the BLS.
Hacking ético | Descripción de la imagen de introducción

What does an AI engineer do?

AI engineers are responsible for developing, implementing, and managing systems for data analysis, application development, machine learning, and other related tasks.

Their responsibilities may include:

  • Algorithm design
  • Data processing management
  • Machine learning development and administration
  • Systems and network setup and supervision

What do you need to become an AI engineer?

To qualify for an AI engineer role, you need to gain the requisite experience and education. Typically, entry-level AI engineer jobs require a bachelor's degree in computer science or a closely related field. Depending on the specific role, companies may prefer a candidate with a graduate degree.

Employers also look for evidence of applied AI engineering experience, so keep a portfolio of your AI-related projects and document the skills you used to complete them.

Skills

  • Programming languages like Python, C++, or R
  • Machine learning and algorithms
  • Prompt engineering

Education

Bachelor's degree in computer science or a related field like information technology or software engineering

Experience

1-3 years of experience interning in an AI-related role, conducting research, or developing personal or open-source AI projects

How to become an AI engineer

With training and hands-on experience, it's possible to forge a career in artificial intelligence even if you don't have a degree. However, some employers may only consider candidates with relevant formal education.

Step 1: Explore AI engineering through an online course

In our spring 2025 survey, more than 50% of respondents said AI skills were important for remaining competitive in their careers. If you're among those who want to explore AI but aren't sure where to start, edX AI courses may be the answer.

If you want to deepen your knowledge, you can stack multiple related AI courses into a professional certificate in the fundamentals of AI. An edX program can help you build AI skills and determine if this career path is a good fit for you without the time and financial commitment of a traditional degree program.



Programs that can help you prepare for an AI engineering role

Stand out in your field
Use the knowledge and skills you have gained to drive impact at work and grow your career.
Learn at your own pace
On your computer, tablet or phone, online courses make learning flexible to fit your busy life.
Earn a valuable credential
Showcase your key skills and valuable knowledge.

AI engineer salary and job outlook

The Bureau of Labor Statistics (BLS) does not offer specific salary data for AI engineers, but it does provide information on computer and information research scientists.

In 2024, the median salary for computer and information research scientists was $140,910.

The Bureau projects employment for computer and information research scientists will grow by 20% from 2024 to 2034, significantly faster than the 3% average for all occupations.

+20%
Job growth (2024-34), Source: BLS
3,200
Total openings per year, Source: BLS

Is becoming an AI engineer right for you?

People who love programming, data science, and constant problem-solving may enjoy working as an AI engineer.

This role may suit lifelong learners who enjoy collaboration and teamwork. Because AI continues to develop rapidly, engineers need to stay current on industry trends. Additionally, prospective AI engineers should have a knack for collaboration and teamwork.

If you aren't sure whether or not you would enjoy working as an AI engineer, try an online course in artificial intelligence first.

AI engineer vs. AI developer

There is some overlap between AI engineers and developers, but these careers are not identical.

Both roles require strong communication and problem-solving skills as well as knowledge of programming languages and application programming interfaces (APIs). However, they differ in the following ways:

Focus
AI engineer
Establishes AI system frameworks, considers scalability, and manages the implementation of AI solutions
AI developer
Codes, tests, and optimizes AI models and algorithms
Skills
AI engineer
Extensive knowledge of cloud computing, AI architecture, and machine learning frameworks such as TensorFlow.
AI developer
Extensive knowledge of programming languages, such as Python and C++
Responsibilities
AI engineer
Projects may include designing AI systems for large-scale use, such as self-driving cars, task-performing robots, and analytics tools for healthcare.
AI developer
Projects may include creating customer service chatbots, recommendation systems, and voice assistants.

Launch your career in AI engineering

Frequently asked questions about becoming an AI engineer

Are AI engineers paid well?

Yes, AI engineers make more than double the annual average salary for all occupations, according to BLS data from May 2024. The median annual salary for all occupations was $49,500. For computer and information research scientists, the median annual salary was $140,910 during the same year. Software developers earned $133,080.

How long does it take to earn an AI engineering degree?

An undergraduate degree can take anywhere from 4-6 years to earn, while a master's degree may take 12-24 months for full-time students. Part-time enrollment may extend your timeline further.

Can I earn an online master's in AI engineering?

Yes, many schools have online options if you're interested in earning a master's in AI engineering. These online degree programs cover machine learning, systems development, AI ethics, programming languages (Python, C++, R, and Java), and other topics.