Top AI Jobs in 2023... and How to Land Them
It's no secret that artificial intelligence (AI) is a growing technological development — and a field where companies seek a competitive advantage. By 2028, the AI field is estimated to create 97 million new positions, even if aspiring AI specialists don't yet have all the tools they need to properly fulfill those positions. Employers’ demand for AI jobs has more than doubled in the last three years, according to job search website Indeed.
What Is Artificial Intelligence?
Artificial intelligence seeks to build machines that think and work autonomously, rather than fulfill tasks in a relatively narrow space with predefined working methods, procedures and results. Artificial intelligence allows employees to reserve more time for bigger-picture strategy, while computers handle tasks like data analysis and reporting.
The possibilities with well-deployed artificial intelligence are endless. Artificial intelligence helps companies mimic full-time employee work, using machine learning to accomplish a few different goals:
- Accelerate repetitive procedures using robots or machines
- Improved customer experience for end consumers
- Make decisions based on large amounts of empirical data
These and other benefits make artificial intelligence — and specialists who deploy AI strategies — extremely valuable to organizations that know how to use them.
How do I land an AI job in 2023?
Artificial intelligence promises to help organizations of all sizes complete tasks at an accelerated pace, particularly when there is a large amount of data involved. Self-propelled vehicles, robotic aids and automated diagnostics are the result of a new revolution in artificial intelligence, one that's shaping our lives and jobs. And as the demand for talented engineers has more than doubled in recent years, there are limitless opportunities for professionals looking to work at the forefront of artificial intelligence research and development.
Here are a few tips to land an AI job in 2023:
- Pursue education through online programs or certification programs that support your career
- Join external organizations that allow you and fellow IT professionals to work on new practices and develop new skills in emerging AI fields
- Follow industry experts, and read relevant industry publications, to learn even more about how leading organizations around the world are deploying AI strategies to save time, money and energy
- Find opportunities to regularly improve your AI skills as the industry evolves
As the number of jobs designed and developed for artificial intelligence applications increases, some experts predict that these efforts will significantly disrupt business. AI can process an indescribable amount of data, much faster than the average AI employee can process the same task.
What are the different types of AI careers?
No matter your skills and capabilities in AI, there's an AI career that fits your career goals. Some positions may require a pre-employment security screening, depending on the sensitivity of the information required to process the information. Examples of specific jobs for AI professionals are:
- Software experts and developers
- Computer engineers and scientists
- Algorithm analysts
- Research scientists and consultants
- Mechanical engineers
- Maintenance technicians
- Production and electrical engineers
- Surgical technicians
- Healthcare professionals
- Electrical and aeronautical mechanics
- Graphic designers, textile manufacturers and architects
Since its introduction into the business world in the 1950s, artificial intelligence has continued to enhance the quality of work in many industries. As a result, those with expertise in artificial intelligence have the ability to improve a company's output, while reducing the chance for error.
What are the highest-paying artificial intelligence jobs?
As you consider career opportunities in the growing field of AI, consider the following jobs in artificial intelligence once you've gained the necessary skills.
Machine Learning Engineer
As one of the most common positions in the field of artificial intelligence, machine learning engineers need strong skills in software use, prediction models and the use of natural language processing (NLP) to work with massive, complicated databases. Organizations typically hire machine learning candidates with extensive computer programming skills, special mathematical skills, knowledge of cloud programming and computer languages, and excellent communication skills.
Data scientists are responsible for collecting, analyzing and interpreting large and complex databases through mechanical engineering and forecasting. Recruiting companies often require computer scientists to have at least an undergraduate-level understanding of computer science.
Many data science candidates must have at least two years of experience in mechanical engineering. Extensive knowledge and experience with a cloud tools platform is an advantage during the data science onboarding process.
Enroll in Our Data Science Bootcamp Training Program
QuickStart offers data science bootcamp program partnering with the reputed universities in the United States to help you launch your career.Get Started
Research scientists are experts in several areas of artificial intelligence, including mechanical engineering, statistical analysis and applied mathematics. Along with these skills, those interested in the field are advised to thoroughly learn computer architecture and interpersonal communication.
To become a research scientist, you'll first need a first degree in computer science, engineering or a related specialty. For best results, look to obtain a combination of certificates and complete varied experience for this position.
Business Intelligence Developer
Business intelligence developers have a key role to play in improving business efficiency and profitability. These development positions are highly sought after, offering an average salary of more than $93,000 per year.
As a BI expert or programmer, you'll often help translate small details into active solutions. You'll establish a high-level vision for your organization, one that allows you to keep track of details and execute on growth strategies.
To succeed in the fast-paced world of BI, you need a great, progressive vision and the ability to keep track of details. Business intelligence developers are typically responsible for designing, planning and maintaining complex data from easily accessible data in the cloud. However, a combination of work experience and certification is essential in order to properly fulfill this role.
Big Data Engineer or Architect
Big data engineers and architects both play critical roles in an organization's development. They help ensure that business systems are up to communicate with each other and collect data. To properly fill these important roles, most companies choose highly experienced experts.
Big data engineers and architects are typically responsible for designing, scheming and developing a large data environment for Hadoop and Spark systems. Each year, big data engineers earn an average of $90,000, while data architects can earn more than $158,000 per year.
System Software Developer
Software developers generally need a degree in computer science, and should have strong programming skills. These employees typically specialize in two areas: software or systems. Software involved may be commercially available. In other cases, the software that developers use might be developed specifically for one or several customers. System software developers create systems that maintain the operation of the device, such as a computer operating system or a smartphone.
These systems can be integrated into special equipment or sold separately. System software developers often build an interface as well. All of these disciplines can integrate artificial intelligence, so that their applications meet the needs of users or provide a human response to consumer action.
A computer programmer role is similar to the role of system programmers, sometimes sharing tasks. Developers create and test codes that allow computer programs to work properly. What sets them apart from programmers is their initiative to take designs from engineers and turn them into tools to follow. The use of artificial Intelligence in the applications can be similar to the use of programmers.
Candidates for biomedical engineer positions typically need a degree in biology or biotechnology to begin work in the field. Biotechnological devices include the development of diagnostic and therapeutic tools; biochemistry involves the study of a substance used in transplantation or medical devices; clinical engineering involves the use of technologies to improve health. In these and other disciplines, biological engineers could use AI terms for healthcare devices, equipment and software to predict patient needs.
Computer or Information Research Scientist
A degree in computer science, or in a similar field, is usually needed by a computer or information research scientist. This career involves developing and inventing new methods of computer technology and finding new uses for existing technology. They can use their talents to improve existing artificial intelligence technologies, or to create new AI systems.
Most jobs related to AI require a degree or diploma, while a master’s degree can earn you an even higher yearly salary.
What skills do I need for an artificial intelligence career?
Artificial intelligence is a scientific field. After all, using one or more machines to mimic the human brain, and achieve human-level functionality, is no small task. The skills needed to pursue a career in artificial intelligence vary, but they all require a lot of education, training and focus. Still, there are a variety of jobs in artificial intelligence and machine learning, from high-level research to low-level programs and applications.
For example, analysts use the breadth of their knowledge in theories and research to discover new types of AI systems and possibilities. Researchers teach machines new or different ways of thinking and experimenting with real-world efficiency. Algorithm designers use artificial intelligence research and turn that research into repetitive processes using mathematical formulas that can be applied to hardware and software.
Using these algorithms, software designers and computer scientists write high-quality software that analyzes and interprets data to make informed decisions. Computer specialists build tools (like robots) to complete these tasks. Robots use their internal software to move and work.
Whatever your preferred job title and AI career, make time to read and process new information. Read articles, case studies, whitepapers, playbooks and any other AI field updates. Make a list of experts to follow, to keep your finger on the pulse of the industry as it evolves and expands.
How do I start a career in AI?
Artificial intelligence professionals may have even more AI job prospects than the market's anticipated 20.1% compound annual growth rate indicates. However, aspiring artificial intelligence specialists at all levels will first need to possess the necessary skills in AI, ML and other related fields. That's why we created our AI/ML Online Bootcamp — to give learners like you the skills you need, in a matter of weeks, to make a real difference in the industry.
Connect with our Admissions team today to get started!