6 Steps to Becoming an Artificial Intelligence Developer [ + Salary]

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If you’re interested in the booming world of artificial intelligence and enjoy working with algorithms and computer programming, a career as a highly sought-after and well-paid artificial intelligence developer might be the perfect fit for you. With huge projected growth and opportunities across industries, AI development offers endless chances to innovate and make a meaningful impact.

Artificial intelligence is already transforming the world through applications such as chatbots, self-driving cars, smart assistants such as Alexa and Siri, disease mapping and social media monitoring. These technologies rely on skilled artificial intelligence professionals to bring them to life, making AI developers essential to organizations seeking to harness its potential.

In fact, the global artificial intelligence market is on a rapid growth trajectory, expected to reach a value of $2 trillion by 2030. Despite concerns about automation replacing jobs, Semrush suggests that AI technologies are likely to create new roles, driven by the stronger and wealthier economy they help generate.

Learn how to be an AI developer and position yourself at the forefront of this booming industry.

What Is an Artificial Intelligence Developer?

This specialized role focuses on designing and implementing AI-powered solutions within software applications. According to The Enterprisers Project, “Artificial intelligence developers build AI functionality into software applications.” This means their primary responsibility is to integrate and implement AI algorithms and logic into IT project deliverables.

While similar to the role of a traditional developer — who creates software using programming languages such as R, Java and Python — an AI developer hones in on the unique challenges and opportunities of artificial intelligence. This might include tasks such as training machine learning models, developing natural language processing systems, or designing neural networks, all with the goal of creating intelligent systems that can learn, adapt and improve over time.

Main Responsibilities for an Artificial Intelligence Developer

The exact responsibilities of an AI developer will depend on an individual’s specific position, but here is an overview of typical responsibilities, as listed by coding school Le Wagon:

  • Solve problems using AI software. AI developers utilize their expertise in algorithms and machine learning to optimize business processes, support data-driven decisions and promote efficiency.
  • Present AI systems in an approachable way. Effective communication is key; especially when leadership is not well-versed in the latest AI technologies. It is up to the AI developer to ensure widespread understanding as needed.
  • Design, implement and finetune AI systems. AI developers are responsible for designing and building AI systems from the ground up, ensuring they align with specific project goals.
  • Invest in ongoing education. Staying up to date on the latest AI technologies is crucial in a competitive landscape, with the latest best practices, tools and techniques all needed to move forward.
  • Be a leader. AI developers often take on a mentorship role, helping team members understand and apply AI technologies to ensure smooth adoption and use.

AI developers also use a variety of tools, resources and programs, which include:

  • Programming languages such as Python, Java and Scala
  • Deep learning platforms
  • Deep learning libraries
  • Google assistants
  • Cloud platforms
  • IBM Watson AI solutions
  • APIs
  • Profiling tools
  • Analytical tools

How to Become an Artificial Intelligence Developer in 6 Steps

1. Pursue a Formal Education

In most cases, a bachelor’s degree is required for entry-level positions. This includes a focus in computer science, artificial intelligence, robotics, engineering or a related field. An advanced degree may or may not be required, depending on the position. Either way, a master’s degree can position you for greater career success and give you the industry insight and knowledge you need to gain an edge over other applicants.

Download Our Comprehensive Checklist for Choosing the Right AI Degree Program >>

2. Learn Programming Languages

According to DataCamp, the best programming languages for AI development include:

  • C++
  • Java
  • JavaScript
  • Lisp
  • Python
  • R

These are best learned through a combination of formal education, online courses and hands-on practice. Formal education programs, such as computer science or AI-focused degrees, often cover foundational programming skills, while additional online certificate programs can expand and reinforce that knowledge.

3. Develop skills and master machine learning and deep learning concepts

While there are many skills needed to become a successful AI developer, two of the top ones are programming and knowledge of coding, including Java, Python and R. Cloud experience is also important, in addition to soft skills such as problem-solving, logical thinking and the ability to collaborate.

Other soft skills that employers tend to look for, regardless of position or industry, include leadership, good communication and a solid work ethic.

4. Gain experience with different AI projects

Hands-on experience is critical in this fast-moving field. Take any opportunity to dive into personal projects, participate in networking events and contribute to open-source AI projects. Internships and freelance work also provide valuable real-world experience.

5. Build a professional network

Consider joining organizations such as the Association for the Advancement of Artificial Intelligence (AAAI), AI-focused LinkedIn groups and online communities such as Reddit’s r/MachineLearning can help connect with professionals in the field. Attending conferences and meetups is another valuable way to expand your network.

6. Apply for AI developer roles

If you’re applying for an AI developer position and have received an interview, congratulations! But how do you secure the job? Prepare by reviewing common AI interview questions, such as those related to machine learning algorithms and problem-solving scenarios. Emphasize both your technical skills and your ability to communicate complex AI concepts to non-technical stakeholders.

Here are some helpful tips from The Enterprisers Project to keep in mind:

  • Prove you can do more than code.
  • Showcase your creativity and problem-solving skills.
  • Create a portfolio that showcases your previous work and projects you’re proud of.
  • Make sure you’re up to date on the latest AI and developer industry trends.

Also, don’t forget general job interview advice, such as:

  • Knowing at least basic information about the company
  • Researching industry-specific interview questions
  • Dressing professionally
  • Being engaging and invested in the conversation
  • Proving how you’re a great fit for the position
  • Expressing gratitude for the interviewer’s time with a follow up email or phone call

How Much Does an Artificial Intelligence Developer Make?

AI developer salaries vary depending on a number of factors, including the specific nature and responsibilities of the position, geographic location of the job, your background and how much experience is required. According to data collected from Salary.com, the average annual salary for an AI developer in the United States is $110,378, with most professionals earning between $86,275 and $135,767.

Growth Opportunities for AI Developers

There are a multitude of fulfilling job opportunities available for AI developers, such as machine learning engineer, data scientist, robotics engineer, AI research scientist or AI solutions architect. These positions allow you to work on cutting-edge technologies across industries like healthcare, finance, autonomous vehicles, gaming and more.

Beyond specialization, leadership roles such as AI project manager or chief AI officer are ideal for developers who want to transition into strategic or managerial positions. You’ll be responsible for managing teams and supervising strategic initiatives.

To stay competitive and maximize career opportunities, continuous learning is essential. By upskilling, AI developers can deepen their expertise in specialized areas such as natural language processing (NLP) and ethical hacking, cyber security and more.

Companies Hiring AI Developers by Industry

The outlook for artificial intelligence jobs in general is extremely promising. Computer and information technology jobs are booming, with employment projected to grow 13% from 2020 to 2030.

AI is expected to create 12 million new jobs by 2025. This is a result of an expected elimination of 85 million jobs and the creation of 97 million new ones. Some of the top companies hiring AI developers include:

  • Dropbox
  • Udemy
  • CNA
  • Hinge
  • Warner Bros. Discovery
  • Cash App

Advance Your AI Developer Career with a Master’s Degree

Exciting, high-paying career opportunities in AI continue to expand across a variety of industries. The University of San Diego — a highly regarded industry thought leader and education provider — offers an innovative, online AI master’s degree program, the Master of Science in Applied Artificial Intelligence, which is designed to prepare graduates for success in this important fast-growing field. This program includes a significant emphasis on real-world applications, ethics, privacy, moral responsibility and social good in designing AI-enabled systems.

What You Need to Know About an Artificial Intelligence Career

Learn more about this rapidly growing field with opportunities for advancement.

Woman looking at a monitor in the dark for artificial intelligence