How Engineers Can Prepare for the Future of AI

Artificial intelligence (AI) is changing how engineers work, often in ways we couldn’t have imagined a few years ago. Whether automating routine tasks or making sense of vast amounts of data, AI is helping engineers solve problems faster, smarter, and more efficiently. As this technology continues to evolve, engineers who understand how to work with it, not just around it, will be better positioned for long-term career growth.

The Growing Impact of AI on Engineering

AI isn’t a future trend; it’s already here. A recent study from Infosys found that 68% of U.S. executives plan to increase spending on generative AI. Another report from Indeed analyzed more than 55 million job listings and found that 66% of U.S jobs are exposed to significant transformations due to AI.

Engineering roles are especially impacted. From mechanical and software engineering to newer fields like AI product development, engineers see how automation and advanced analytics are reshaping how they design, test, and build.

Applications of AI in Engineering

AI is being used to improve everything from product design to system diagnostics. In some industries, engineers use predictive analytics to forecast maintenance needs and reduce downtime. In others, they build intelligent systems that help machines “learn” from data and make real-time decisions.

Dr. Carmen Lilley, Associate Professor and Program Director for the Online Master of Engineering (MEng) with a concentration in AI and Machine Learning at the University of Illinois Chicago, urges engineers to stay engaged with how their work is used and protected. “As an engineer, it’s crucial to focus on your proprietary knowledge and understand how to leverage AI tools effectively,” she says. “Your work contributes to proprietary knowledge collected in databases beyond your control. Thinking of our research, and when we want to disseminate it, is crucial for career success.”

Key Skills Needed to Become an AI Engineer

You’ll need more than technical know-how to succeed in AI engineer jobs. A strong foundation in theory and application, and the ability to adapt as technology evolves, is key.

Here are some of the top skills employers look for:

• Python programming and familiarity with AI libraries like TensorFlow or scikit-learn
• Data analysis and statistics to interpret and work with large datasets
• Machine learning techniques, including model training and evaluation
• Natural language processing (NLP) for roles involving language-based AI tools
• Knowledge of ethics and legal considerations related to AI development

These skills can help you stand out in the job market and prepare for some of the best AI jobs of the future.

Best AI Jobs for Engineers

The growth of AI has led to new career paths, many of which come with strong earning potential. Engineers with advanced skills in AI and machine learning (ML) can pursue roles like:

• Natural Language Processing (NLP) Engineer – average salary: $111,000
• Machine Learning Engineer – average salary: $160,000
• AI Product Manager – average salary: $135,000
• AI Research Scientist – average salary: $130,000

*Salary data from PayScale, Salary.com, and industry-specific sources.

How to Prepare for a Career in AI Engineering

To keep pace with the growing demand for AI talent, engineers can take proactive steps to sharpen their skills:

• Advance Your Education: Whether through short courses or a graduate degree, formal training can help you build a strong foundation in AI fundamentals. UIC’s Online Master of Engineering with a concentration in AI and Machine Learning is one option that combines technical depth with leadership development.
• Explore Industry Trends: Stay current with emerging tools, research, and real-world applications by reading publications, attending webinars, and following thought leaders. Some reputable publications are AI Magazine and Forbes.
• Join a Professional Community: Engage with communities, forums, and professional networks to exchange ideas and learn from peers or experts in the field. You can find communities on platforms such as LinkedIn and Reddit.
• Apply What You Learn: Consider incorporating AI tools into your current projects. Hands-on experience is one of the best ways to grow your confidence and skills.

AI Education at UIC: Earn a Master of Engineering Online

For engineers ready to deepen their AI expertise, UIC offers a flexible, 100% Online Master of Engineering with a concentration in AI and Machine Learning. This professional, non-thesis program is tailored for working engineers and full-time students alike.

The program covers essential technical topics and also develops leadership and project management skills critical for careers in AI. Students complete nine courses over accelerated 8-week terms, with the option to finish full-time in as few as 12 months or pace themselves part-time.

Whether you’re exploring becoming an AI engineer or wanting to increase your earning potential, UIC’s MEng degree can help you gain the credentials needed to lead in an AI-driven world. Want more information? Fill out a short form to learn more.