We spent the whole year of 2023 talking about increasing career opportunities in AI and how to build a career in AI. But it is all in the air now; no one can predict the future with 100% accuracy. However, with the release of ChatGPT, Llama, Bard, and other AI tools, it is clear that AI is going to stay.
We all keep speculating that AI will create 7 million new jobs by 2025 or 100 million new jobs by 2027. These numbers may be random speculation, but the point of new AI careers is definite.
Also, the global AI market is expected to reach $1.58 trillion by 2028, which isn’t possible unless it creates new career options. Hence, in this article, I’ll tell you about the top 13 career opportunities in AI in 2024:
1. AI Product Manager
Yes, this is more or less the same position that we know. But, with a little pinch of AI knowledge, AI product managers are responsible for managing the development and delivery of AI products and services.
They gain high-level knowledge of AI and work with various departments, such as development, sales, and marketing, to build and deliver the promised AI product.
Skills required: Product management, high-level knowledge of AI, and leadership.
Salary: $143K – $220K per year. (Source: Glassdoor)
2. AI Consultants
Again, the same as our normy-Consultant jobs. A career in AI consulting is slowly becoming a great option for AI experts.
AI consultants are people who help businesses understand how they can integrate AI into their business and operations. As the main agenda of bringing AI into our lives is to make work faster and more efficient, AI consultants do just that! They help businesses integrate AI to increase efficiency, reduce costs, and reach more people.
Skills required: Deep expertise in artificial intelligence, problem-solving, and communication.
Salary: $101K – $151K per year. (Source: Glassdoor)
3. NLP Engineers
Here comes the second most popular career option in AI (Want to know the first on the most popular AI careers? Check number 13).
Now, who are NLP engineers? NLP Engineers work on AI models, like ChatGPT, to implement natural language processing (NLP) so that they can understand natural language. They develop models that can analyze and understand human speech and text and generate responses based on their understanding.
Skills required: Natural Language Processing, Python, ML frameworks.
Salary: $117K – $214K per year. (Source: Glassdoor)
4. Machine Learning Engineers
Don’t get me started on the differences between AI and ML. You should already know that! Hint: It’s a game of subset and superset. Now, figure out which is what. Back to ML engineers:
Machine Learning Engineers work on developing models that can analyze large datasets and make predictions. ML developers integrate ML models into software applications to make the journey easy for users. They play a big role in designing, developing, and optimizing ML models.
Skills required: Machine Learning, Python, data analysis.
Salary: $97K – $158K per year. (Source: Glassdoor)
5. Artificial Intelligence Engineer
If we’re talking about careers in AI, then we all know AI Engineer is going to be on the list. I kept it at number five, intentionally. Got you? Now:
AI Engineers are responsible for the development of AI software. They develop AI algorithms and implement them into various software and applications. They focus on designing and developing tools that enable AI to solve real-world problems.
Skills required: Artificial Intelligence, deep learning, programming.
Salary: $104K – $174K per year. (Source: Glassdoor)
6. AI Researcher
The role of an AI researcher is to find and work on developing AI algorithms and models. They work on research projects to develop new AI technologies. They are mostly hired by organizations trying to find more applications of AI that can make tasks easier.
AI researchers are like AI engineers on steroids. Makes more sense, right?
Skills required: Research, a good grasp of AI algorithms, data analysis.
Salary: $88K – $152K per year. (Source: Glassdoor)
7. Robotics Engineer
In layman’s terms, artificial intelligence means robots. Right? We all used to think that. But it is much more than that. Robotics is just a segment of what AI can achieve.
Robotics engineers are professionals who work on creating and developing robots with AI integration. The main task of Robotics engineers design and develop various robotic prototypes to see what’s really possible. They develop robotic applications for various industries, such as mechanical and automotive engineering.
Skills required: AI, Robotics, software development, automation.
Salary: $79K – $123K per year. (Source: Glassdoor)
8. Data Scientist
Here comes the sexiest job of the 21st century!
Data scientists work on creating models and implementations that help businesses make data-driven decisions. Data scientists collect and analyze complex data using various AI tools, technologies, and algorithms.
Data scientists draw conclusions from raw data and create insights based on these conclusions. Sexy, right?
Skills required: Data analysis, programming, statistical modeling.
Salary: $102K – $160K per year. (Source: Glassdoor)
9. AI Ethicist
Even I didn’t know about this before writing the article. But now I understand the role of AI Ethicists and how important they are.
AI ethicists ensure that AI software or the developed technology does not make biased conclusions. They consider political, ethical, and social systems in AI systems. This is done so the AI is fair, makes unbiased decisions, and does not draw misleading conclusions.
Skills required: Ethics, AI, philosophy.
Salary: $80K – $191K per year. (Source: Ziprecruiter)
10. AI Sales Executive
There is no difference between your everyday sales executives and AI sales executives. They do the same job. The only difference is you need an overview knowledge of AI or the AI product you’re going to sell.
More and more companies have started adopting AI, and more companies will continue to do so. This is why it is more important for companies to hire AI sales executives. Those who are involved in both AI and sales have great career prospects.
Skills required: Sales, AI knowledge, communication.
Salary: $85K – $108K per year. (Source: Glassdoor)
11. AI Architect
AI Architects are responsible for the architecture of AI systems. They make sure that AI systems are dependable, secure, and scalable. They have a thorough knowledge of backend and system design. They choose the best technologies to enable AI systems and ensure that they are working well without any downtime.
The roles of AI architect, AI researcher, and AI engineer are tight-knit and very similar. The only difference is their focus point.
Skills required: System design, AI technologies, architecture.
Salary: $127K – $207K per year. (Source: Glassdoor)
12. AI Quality Assurance Engineer
AI QA engineers ensure that the AI systems developed are working well and are not facing any issues. They design and create tests to check the functionality of their AI models. They ensure the smooth execution of their AI systems.
Skills required: Testing, AI understanding, quality control.
Salary: $71K – $110K per year. (Source: Glassdoor)
13. Prompt Engineer
Here comes the most popular and talked about career opportunities in AI. The infamous prompt engineers. Thanks to Twitter (X).
Prompt engineers work with AI to provide prompts that instruct it to perform specific tasks. They use their knowledge of AI technologies to generate and refine prompts to achieve the desired output.
Look at the salary stats below, damn!
Skills required: Strong problem-solving skills, deep understanding of AI, natural language processing.
Salary: $175K – $300K per year. (Source: Bloomberg)
Conclusion
It is no doubt that 2024 will see some unprecedented changes in the technology sector. AI will be one of the most in-demand job markets, and it is going to impact all other sectors as well.
According to a recent report by the World Economic Forum, AI is expected to create 7 million new jobs by 2025. Yes, another speculation, but it looks legit. Companies have already hired thousands of career options in AI.
The world is in a shortage of AI experts, and it is the best time to get ahead. Building a career in AI in 2024 is like buying Bitcoin in 2010. Yes, it’s early. Hop in!
