This year, the topic of Artificial Intelligence (AI) is front and center in the tech industry. While some may view AI as a threat to tech jobs, it’s actually creating new opportunities for tech workers. With AI being integrated into nearly every aspect of our lives, it’s no surprise that most high-paying tech jobs now involve AI in some capacity.
This is an exciting time for tech workers to be in the field. Integrating AI into the tech industry has opened up a world of new job opportunities, many of which come with high salaries. However, tech workers must have the right skills and qualifications to take advantage of these opportunities.
So, what are the high-paying tech jobs that interact with AI? Here are the top five roles:
1. Data Scientists
Data scientists are in high demand, and it’s no wonder why. These professionals use AI algorithms and statistical analysis to make sense of complex data sets and predict future trends. They also design, test and implement AI-driven solutions to real-world problems.
Statistics for Data Scientists:
The average salary for data scientists is $120,000 annually and is one of the fastest-growing roles in tech. Projections indicate that the need for data scientists will grow 36% from 2021 to 2031, outpacing the average growth rate for all occupations. Some of the skills employers are looking for in their data scientists are:
- Strong programming skills (HTML, CSS and JavaScript)
- Knowledge of statistics and machine learning
- Data visualization
- Database management
- Communication skills
- Dynamic problem-solving
- Business acumen
2. AI Engineers
AI engineers are responsible for developing and maintaining AI systems and applications. They work with data scientists to design and build AI algorithms and integrate them into existing systems.
Statistics for AI Engineers:
With an average salary of $140,000 annually, AI engineers can look forward to making an excellent wage and a bright future. The global AI market is projected to reach $1,581.70 with a compound annual growth rate (CAGR) of 38.0% in 2030.
To be successful AI engineers, candidates must have a strong understanding of the following:
- Programming languages such as Python, C++, or Java to implement and test AI algorithms
- Machine learning
- Deep learning in artificial neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
3. Machine Learning Engineers
Machine Learning Engineers are experts in applying machine learning algorithms to real-world problems. They use their skills to develop and improve AI systems and to make them more accurate and effective.
Career Details for Machine Learning Engineers:
With an average salary of $130,000 per year, machine learning engineers are some of the most in-demand talent in the tech industry. Employers are looking for machine learning engineers that have a good balance of hard and soft skills:
Hard skills:
- Programming languages (Python, R, and SQL) and proficient in using libraries such as TensorFlow, Keras, and PyTorch to develop machine learning models
- Machine learning algorithms
- Deep learning
- Data analysis
- Mathematical foundations (linear algebra, calculus, and statistics)
Soft skills:
- Problem-solving
- Communication skills
- Collaboration
- Adaptability
- Attention to detail to ensure that models are accurate and reliable
4. AI Architects
With an average salary of $112,300 – $185,300 a year, AI Architects are responsible for designing and implementing AI systems. They work closely with data scientists and AI engineers to develop and implement AI algorithms and to ensure that AI systems are scalable and secure. These architects must deeply understand AI, machine learning and data science.
AI Architects: Did You Know?
One surprising trait of a high-performing AI architect is empathy. This results in more effective and user-friendly AI solutions and helps build strong working relationships, effectively communicate technical concepts, and make informed decisions. AI architects who have a unique ability to understand and share the feelings of others, such as clients, stakeholders, and end-users, can better design systems that meet their needs and expectations.
5. Deep Learning Researchers
Deep Learning Researchers are responsible for developing deep learning algorithms and improving existing AI systems. They work closely with data scientists and AI engineers to design and implement deep learning algorithms for real-world applications. These researchers must understand deep learning, machine learning and data science.
Range in Salaries for Deep Learning Researchers
The yearly earnings of deep learning researchers in the United States vary from $100,000 for those in the 25th percentile to $169,000 for those in the 75th percentile. The top 10% of earners, or those in the 90th percentile, make an annual salary of $200,000.
Interested in Applying for High-Paying Tech Jobs?
At WideNet Consulting, we don’t believe AI is a threat to tech jobs. On the contrary, we’re seeing AI creating opportunities for tech workers to explore new, highly lucrative career paths.
If you’re a tech worker looking to take advantage of the high-paying tech jobs that deal with AI, it’s important to have the right skills and qualifications. Whether you have the AI credentials you need to land a higher-paying tech job or just getting started in the industry, we want you to contact WideNet Consulting today.
