AI is becoming more human day after day, and with this technology continuously booming, many new sectors are rising in popularity. In this article, we will discuss the various career options available to you in the field of artificial intelligence based on your education in information technology, computer science, or software engineering.

1. Robotics Engineer

Have you ever thought about the possibilities that come with building, installing, testing, and maintaining your own robot? Robotics engineers are in high demand, as these skill sets come with a range of benefits for many industries. You could be part of the next innovative robot product with a focus on creating and maintaining automated machines while applying machine learning.

If you're great with numbers and want a rewarding career, robotics engineering is essential in manufacturing, agriculture, health care, food preparation, and the military, so this is guaranteed to offer you job security, satisfaction, and the chance to do something positive for many.

2. Software Engineer

Do you have amazing problem-solving skills and want to do more than just repair computer systems? Software engineers are a well-known career choice in technology and are increasingly in high demand. This is the backbone of technology as we view it today.

These professionals specialize in building software, to put it simply. Microsoft Office or Google Chrome? Made by software engineers. Companies are always needing advanced software to offer to customers to fulfill their needs, and software engineers have the skills to provide programs that work.

Software engineers can branch into AI by building software that includes speech recognition, machine learning, and the overall end-user system. Professionals in this career can expect to not only create software, but also maintain it with updates.

This is a vital aspect of AI and the foundation for creating software that will influence and help many people navigate complex technology. Cortana is a great example here. Imagine being able to build your own virtual assistant.

3. Computer Vision Engineer

Are you good at visualizing the information in front of you? Computer vision engineers focus largely on algorithms and visual data, and big companies such as Apple need them. They utilize artificial intelligence and also assist with its creation of it.

By creating algorithms that are automated and maintaining them, computer vision engineering consists of hazard detection in self-driving cars, facial recognition, and also content control on social media sites such as Facebook, just to name a few.

These all contain an automated system very similar to artificial intelligence, and it can be expected that in the next few years, this career is expected to expand and flourish. If working with data through feeds of video, analog images, or digital signals sounds up your alley, this is a good career to envision.

4. Data Scientist

No, this isn't the same as a computer vision engineer. If you're good at organizing data as well as keeping track of it, you may enjoy a career that numerous organizations utilize. A data scientist is responsible for collecting and transforming data into a format that provides:

  • Insight to those who need it.
  • Making forecasts.
  • Ensuring this data works for companies.

Another large task for data scientists is fixing data corruption, or screening information it is processing, which will be a crucial part of having functioning artificial intelligence. This career choice is perfect for someone with an analytical brain who loves to work with data!

5. Big Data Engineer or Architect

Do you think you can work with larger scales of information? Big data engineers design and maintain massive systems used for the processing of data. These engineers will be vital in managing this large influx of data, and AI will process and manage the data related to how people want AI to be delivered.

There is a significant demand for people in this field due to a lack of skilled workers, and it is excellent for anyone who enjoys math or is analytical. Want to learn more about technology areas that focus on numbers? Check out the top careers in data science.

6. Data Analyst

A data analyst is very similar to a data scientist, but it's all about analyzing the trends of data over time. Overall, there is less responsibility, but the work involves using current data instead of making predictions and forecasts. This is a widespread role that many companies use to analyze the constant information they absorb on a daily basis.

For example, if you'd like to assist an AI program and its current potential for customers, you can be a big help to those wanting to expand. Data analysts are in high demand because AI is continually used to identify patterns and collect data, so even a position that doesn't involve creating AI will use it.

7. AI Ethicists

Many people have questioned whether AI is truly a disruptive technology, and AI ethicists are here to ensure they are made use of properly. These professionals have the sole responsibility of programming viewpoints, beliefs, political ideas, and general good behaviors into AI to prevent them from acting in harmful ways, which could end in severe consequences for many companies.

If you want to be in control of the behavior of how AI works, this is a great career choice. If you're interested in this topic, have a look at the ethical pros and cons of AI art generation. This may even encourage you to work in the field.

8. UX Designer or Developer

Do you have an eye for design as well as great programming skills? A UX Designer, also known as a user experience designer or developer, has the role of creating the way in which a person engages with the program or website they are using. This includes everything you can see and interact with, something as simple as buttons.

All features of a website or program are carefully designed to make users feel certain ways during use. For example, a program designed for seniors would be non-stressful and easy to use. In AI, this would extend to how the user interacts with it, whether in software or hardware form, such as robotics. Imagine being part of the creation of a home robot that doesn't need many commands to use.

Pursue a Career in Artificial Intelligence

The use of artificial intelligence is expanding into dozens of new sectors, creating many new jobs, and making many businesses more efficient. As a student or graduate, you can rest assured that if you want to start a career in AI, there is plenty of opportunity in an industry that is evolving, stable, and always needs skilled IT graduates to get these jobs done.