What Does an Artificial Intelligence Developer Do?
To start, let’s clarify what a developer does. According to ZDNet, a developer is an IT professional who designs and creates computer software using programming languages like R, Java, and Python. This role is also known as a programmer, coder, or software engineer.
An artificial intelligence developer shares many of these responsibilities, but with a specific focus on AI. As The Enterprisers Project explains,
“Artificial intelligence developers integrate AI functionality into software applications. Their role centers on incorporating and implementing AI algorithms and logic into the outcomes of an IT project.”
Why Artificial Intelligence Developers are in Demand
Artificial intelligence is transforming a wide range of industries with applications such as chatbots, self-driving cars, smart assistants like Alexa and Siri, disease mapping, and social media monitoring. To implement these innovations effectively, businesses and organizations need to recruit skilled AI professionals.
The global AI market is projected to reach $190.61 billion by 2025, with DataProt forecasting it will grow to $267 billion by 2027. As Semrush notes,
“While AI may lead to some job displacement, these losses are likely to be balanced out by the creation of new jobs and a more robust economy driven by AI technologies.”
Job Responsibilities for an Artificial Developer
The exact responsibilities of an AI developer will depend on the position, but here is an overview of typical responsibilities, as listed by coding school:
- Answer business challenges using AI software
- Design, develop, implement and monitor AI systems
- Explain AI systems to project managers and stakeholders
- Develop data ingest and data transformation architecture
- Keep up to date on the latest AI technologies
- Train team members on the implementation of AI systems
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
Real Quotes from People in the Field About Artificial Intelligence Careers
Here’s what some leading experts in the field have to say about artificial intelligence:
“Our intelligence defines our humanity, and AI is an extension of that essence.” – Yann LeCun, Professor at New York University
“Although it’s not often phrased this way, artificial intelligence is akin to a humanities discipline. It’s essentially an effort to understand human intelligence and cognition.” – Sebastian Thrun, Computer Scientist and Google Fellow
“As artificial intelligence becomes more prevalent, there is an increasing need for emotional intelligence in leadership.” – Amit Ray, AI Scientist and Author of Compassionate Artificial Intelligence
“AI is transforming every industry and reshaping the nature of work.” – Daniela Rus, Director of MIT’s Computer Science and Artificial Intelligence Laboratory
“The fascinating aspect of AI and robotics is that there’s always more to learn and achieve.” – Manuela Veloso, Head of AI Research at JPMorgan Chase & Co.
Programming Language Proficiency Needed
According to Ideamotive, the best programming languages for AI development in 2023 include:
- Python
- Lisp
- R
- Prolog
- JavaScript
- C++
- Java
- Scala
- Julia
Education Requirements for an Artificial Intelligence Developer
Skills Needed to be an Artificial Intelligence Developer
To succeed as an AI developer, two essential skills are programming and coding proficiency in languages like Java, Python, and R. Experience with cloud technologies is also crucial. Additionally, soft skills such as problem-solving, logical thinking, and effective collaboration are important.
Employers across various fields also value leadership, strong communication abilities, and a solid work ethic.