10 Coding Jobs in Artificial Intelligence

Artificial Intelligence (AI) has become a transformative force across industries. ChatGPT, Midjourney, and any software with AI-integrated features have transformed the way we study, work, and communicate—and the hype won't die anytime soon.

As AI becomes a part of our daily life, many organizations will be on the hunt for talented programmers and AI specialists who can integrate AI into their workflow. From tech giants to early-stage startups, many organizations are currently offering attractive competitive compensation packages and remarkable perks to close the talent gap.

The AI Job Market

Let's take a closer look at the rising market for AI developer jobs and AI coding jobs.

According to the World Economic Forum, the AI boom will help generate more than 97 million new job opportunities worldwide by 2025. The demand for software developers will also increase by 25% from 2023 to 2031.

In Canada, The Canadian Job Bank estimates there will be 80,500 job openings for programmers and interactive media developers from 2022 to 2031.

Even if ChatGPT can generate code faster than humans, Columbia Business School professor Oded Netzer thinks AI tools can only improve the workflow of programmers. He told Insider, "In terms of jobs, I think it's primarily an enhancer than full replacement of jobs."

In recent months, top companies in the tech and crypto space laid off thousands of workers, but tech skills are still in huge demand. Major industries like agriculture, manufacturing, and retail also need programmers and coders, so laid off staff were able to find roles quickly. McKinsey estimates that 80 percent of laid-off tech talent could get new jobs within two to four months.

Types of Jobs In Artificial Intelligence

As AI's influence spans industries, here are some of the most in-demand coding jobs in artificial intelligence.

1. Machine Learning Engineer

Machine Learning Engineers are at the forefront of the AI boom. These engineers create algorithms and science models that allow machines to learn and improve their performance over time. They work on developing AI models, fine-tuning them, and deploying them into real-world applications.

To excel in this role, candidates need a strong foundation in programming languages like Python and Java and proficiency in machine learning libraries like TensorFlow or PyTorch. They also need a solid grasp of software engineering principles, data engineering, mathematics, and statistics to create robust models and handle large datasets. It also helps to have proficiency in big data tools like Apache Spark and software development tools like Eclipse.

According to Indeed, Machine Learning Engineers in Canada have an annual salary of $101,672. They are rewarded handsomely for their expertise, which reflects the high demand for their skills in the AI job market.

2. Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop AI systems such as machine learning models, neural networks, and deep learning algorithms. They develop AI solutions with real-world applications and procedures that organizations can use to improve efficiency.

To excel in this role, AI Engineers need a strong computer science, mathematics, and machine learning background. They must be well-versed in programming languages like Python, Java, or C++. Beyond staying up-to-date on the latest AI trends, candidates must be able to solve problems, manage data, and understand AI models.

The average annual salary for AI engineers is around $100,064 in Canada.

3. Big Data Engineer

Big Data Engineers are responsible for designing, implementing, and maintaining data environments on Spark and Hadoop systems. They analyze and evaluate extensive data sets so organizations can use them to improve efficiency and operations.

Most companies prefer Big Data Engineers with a Ph.D. in computer science, mathematics, or related fields. In some cases, practical experience in a related field, such as a research scientist, can substitute for the lack of academic qualifications. Big Data engineers must be proficient in programming languages like Java or Python. In addition, they must also have an understanding of multi-cloud computing, visualization and data pipelines.

In return for their expertise, Big Data Engineers enjoy an average salary of around $152,789 annually in Canada.

4. Robotics Engineer

Robotics Engineers develop machines with artificial intelligence capabilities. They design, build, and maintain robotic systems that can operate autonomously or assist people in various tasks.

Most organizations prefer Robotics Engineers with advanced degrees in computer science, mechanical engineering, and electrical engineering, coupled with expertise in AI and machine learning. They must be proficient in programming languages, 2D/3D vision systems, Computer-aided design and Computer-aided manufacturing (CAD/CAM) to build robots that can navigate their environment.

Given the specialized nature of their work, Robotics Engineers earn $134,940 per year in Canada.

5. Software Engineer

Software Engineers are responsible for developing the software infrastructure for AI systems. They design, implement, and optimize the algorithms that enable AI applications to perform their tasks efficiently.

A software engineer must be well-versed in programming languages and deeply understand data structures and algorithms. They work closely with data scientists and machine learning engineers to integrate AI models into software applications.

Given the versatile nature of their work, their annual earnings range from $81,000 to $141,000 depending on their experience and expertise.

6. Natural Language Processing Engineers

Natural Language Processing (NLP) Engineers specialize in verbal and written human language. These professionals often collaborate with data scientists and software engineers to integrate NLP capabilities into various applications, including chatbots, virtual assistants, and language translation tools.

An NLP Engineer needs a strong foundation in machine learning, deep learning, and linguistics. They may also need a computational linguistics degree and expertise in NLP libraries such as NLTK and spaCy.

NLP Engineers earn an average of $136,719 annually in Canada.

7. Data Scientists

Data Scientists collect, clean, and analyze vast amounts of data to identify valuable insights. This role involves identifying trends, patterns, and correlations within data sets, building predictive models, and using machine learning techniques to solve problems. By understanding patterns and trends in data, their insights influence business strategies.

Data scientists need a strong foundation in statistics, mathematics, and programming languages to qualify for this role. They should be proficient in data wrangling, visualization, and machine learning. Exceptional problem-solving skills and the ability to communicate findings to non-technical stakeholders are also essential.

Most data scientists have an average annual salary of $102,167 in Canada.

8. Business Intelligence Developer

Business Intelligence (BI) Developers play a pivotal role in generating and managing business interfaces. They make intuitive dashboards, data visualization, and reporting tools that stakeholders need to make decisions.

BI Developers need a firm grasp of data modelling, data integration and SQL code. They often work with BI tools like Tableau, Power BI, or QlikView to build interactive dashboards. It also helps to have communication skills to turn technical insights into actionable recommendations for non-technical teams.

Business Intelligence Developers have an average salary of $95,000 in Canada.

9. Software Architects

A software architect is a senior-level software developer who collaborates with cross-functional teams and communicates with clients and stakeholders. They play a critical role in shaping the architecture of applications, ensuring they meet business requirements and technical standards.

Software Architects need a broad skill set encompassing software development, system design, and AI expertise. Beyond technical skills in programming, they must have strong problem-solving skills, the ability to envision long-term software goals, and the ability to communicate with technical and non-technical stakeholders.

The average salary for software architects is $118,893 in Canada.

10. Research Scientist

Research scientists conduct research and formulate creative questions that AI can answer. They are usually experts in artificial intelligence, machine learning, and mathematics.

To excel as a Research Scientist in AI, one must possess a strong background or advanced degree in mathematics, statistics, and computer science. A deep understanding of computer perception, graphical models, AI research methodologies, and neural networks is a plus.

Most research scientists have an annual salary of $84,145 in Canada.

Building a Career in AI

Even if you're an entry level professional, it’s possible to get a career in Artificial Intelligence when you know the proper steps. Here's how you can get started:

  • Education: Get a strong foundation in computer science and master programming languages like Python and R. If you don't have a STEM-related degree, consider attending bootcamps or acquiring certifications in AI and machine learning.

  • Networking: Connect with AI professionals through online communities, industry events, and meetups. Networking can lead to mentorship and job opportunities.

  • Portfolio Development: Create a portfolio to showcase AI projects, algorithms, and applications you've developed. A robust portfolio serves as tangible evidence of your skills to prospective employers.

  • Job Search: Explore job boards, company websites, and AI-focused platforms to identify job openings. Customize your applications to highlight relevant skills and experiences.

  • Staying Current: The AI landscape is evolving rapidly. Read research papers and attend webinars to stay up-to-date. In addition, enroll in short-term AI courses or certification programs to keep your skills sharp.

Hiring AI professionals is a requirement for every organization looking to improve their productivity and efficiency. As the AI boom redefines our world, there are numerous jobs in artificial intelligence for those looking to enter the industry. Whether you're an experienced developer or an entry level professional, you can take advantage of opportunities as long as you have the necessary skills.