6 Artificial Intelligence (AI) Jobs to Consider in 2025

The outlook is bright for artificial intelligence jobs, which is good news for anyone interested in the growing field of AI.

In fact, machine learning engineers and data scientists have been on Indeed’s Best Jobs list for years [1, 2, 3]. Additionally, the US Bureau of Labor Statistics (BLS) projects opportunities in computer and information research to grow 26 percent between 2023 and 2033.

As the prevalence of AI has risen due to generative AI tools like ChatGPT, you may be wondering what jobs are available in this field and how to land one. The following article provides an overview of artificial intelligence careers, and the skills and education you’ll need to pursue them.

6 artificial intelligence jobs to consider

With this list, you can learn more about specific jobs in AI and the average salaries you can expect to earn.

1. Artificial intelligence (AI) engineer

AI engineers are professionals who use AI and machine learning techniques to develop applications and systems that help organizations become more efficient. They focus on developing the tools, systems, and processes that enable AI to be applied to real-world problems. Data " trains " algorithms, helping them learn and perform better. AI engineers can help cut costs, increase productivity and profits, and make business recommendations.

Average base salary: $111,913

2. Machine learning engineer

Machine learning engineers are professionals who research, build, and design the AI responsible for machine learning. They maintain and improve existing AI systems. A machine learning engineer often serves as a liaison with other data science team members, collaborating with the data scientists who develop models for building AI systems. They run experiments and tests, perform statistical analyses, and develop machine learning systems.

Average base salary: $122,019

3. Data engineer

Data engineers build systems that collect, manage, and convert raw data into usable information for data scientists, business analysts, and other data professionals to interpret. They make data accessible so that organizations can use it to evaluate and optimize their performance. Data engineering is a broad field with applications in nearly every industry.

Average base salary: $105,973

4. Robotics engineer

Robotics engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medicine. They design new products or assemble prototypes for testing. Some may work on-site at a manufacturing plant overseeing robots as they are being produced, while others monitor their performance in the real world. Robotics engineering combines elements of mechanical and electrical engineering with computer science.

Average base salary: $112,163

5. Software engineer

Software engineers, sometimes called developers, create software for computers and applications. They use programming languages, platforms, and architectures to develop anything from a computer game to network control systems. A software engineer may also test, improve, and maintain software built by other engineers. If you’re an analytical thinker who enjoys solving problems and improving digital systems, you may find this career rewarding.

Average base salary: $117,604

6. Data scientist

Data scientists determine what questions an organization or team should be asking, and help them figure out how to answer those questions using data. They often develop predictive models used to theorize and forecast patterns and outcomes. A data scientist might also use machine learning techniques to improve the quality of data or product offerings.

Average base salary: $116,946

Many jobs in AI require a bachelor’s degree or higher. For some entry-level positions, you may only need an associate degree or equivalent skills and work experience. Often, AI professionals obtain undergraduate degrees in computer science, mathematics, or a related field.

Build practical AI skills.

If you already have your undergraduate degree in a field related to AI, consider enrolling in courses to learn the technical skills needed to excel in the field. Even if you don’t have a degree, certifications demonstrate to potential employers that you’re serious about your career goals and investing in your skills.

Apply to entry-level jobs.

Once you feel confident with your level of training, start doing research and applying for jobs. Many entry-level AI jobs, such as software engineer or developer, will indicate “entry-level” or “junior” in the job description. Those that require less than three years of experience are typically fair game.