AI engineers combine engineering, computer science, and machine learning principles to give machines problem-solving abilities. Read on to learn more about life as an AI engineer.
Day in the life of an AI engineer
As experts in programming, software engineering, and data science, AI engineers find work across industries. AI engineers typically work in an office setting as part of a team. They collaborate with fellow engineers, data scientists, and information technology experts to design, create, and implement systems and applications capable of completing complex tasks. Common responsibilities of an AI engineer include:
Develop algorithmsConvert machine learning models to application program interfacesBuild, test, and initiate AI modelsSet up and manage AI development processesDevelop and maintain AI systems
AI engineers create advanced learning models applicable to finance, manufacturing, healthcare, and business enterprises alike. Additional areas of influence include:
Transportation (think self-driving cars)Sports (through automation and predictive analysis technologies)Entertainment (with user-behavior AI-generated video and music suggestions)
Lifestyle of an AI engineer
AI engineers usually work traditional business hours. However, remote work and flexible hours may be possible. AI engineers also collaborate with team members in labs. As an interdisciplinary field, AI engineering requires knowledge of computer science and engineering fundamentals. AI engineers must also follow trends and changes in the tech industry. As AI science evolves, keeping up with competitors and user demand makes AI engineering a fast-paced and exciting job.
Salary expectations as an AI engineer
The average AI engineer salary exceeded $97,000 in 2022, according to Payscale. AI engineers earn the highest salaries at computer manufacturing companies, financial investment firms, and wholesale businesses. Education, experience, and location factor into AI engineer salaries. California, New York, and Washington are the top-paying states for AI engineering professionals.
What does it take to become an AI engineer?
Becoming an AI engineer requires at least a bachelor’s degree in computer engineering, software engineering, computer science, or a related field. Many employers prefer candidates with a master’s degree in software engineering or a comparable discipline. AI engineers need advanced programming abilities plus a solid understanding of machine learning, statistics and mathematics, and data science. Coursework and practical requirements during a degree set the foundation for the workforce. Experience working in software development, data analysis, and business is vital to an AI engineer. Project management experience and industry certifications may help you on your career path.
What skills do I need as an AI engineer?
As an AI engineer, you need a mix of hard and people skills. Hard skills include abilities related to computers, mathematics, and engineering. Coding, statistics, algorithms, and big data technologies are especially important for AI engineers. People skills, also known as soft skills, help you work with others, relate to your colleagues, and thrive in the workplace. These include communication, analytical, and problem-solving abilities. Soft skills matter even in computer science careers.
Hard skills
Software languages like Python, C++, and JavaLinear algebra, probability, statisticsPhysics, cognitive language theory, mechanicsData structures, logic and efficiencyRobotics, machine learning
People skills
Verbal and written communicationActive listeningTeamworkTime managementCritical thinkingCuriosity and creativity
In conclusion
AI engineering jobs unite software engineering, computer technology, and data science at the forefront of the tech industry. Becoming an AI engineer opens opportunities to work in positions across industries. With a strong projected job outlook and lucrative AI engineer salaries within your grasp, it might be time to take the next step and enter the field of AI engineering.
This article was reviewed by Brian Nichols
Born and raised in upstate New York, Brian Nichols began his IT education through a vocational high school where he focused on computer science, IT fundamentals, and networking. Brian then went to his local community college, where he received his associate of science in computer information science. He then received his bachelor of science in applied networking and system administration from a private college. Brian now lives in Kansas City, where he works full-time as a DevOps engineer. Brian is also a part-time instructor in cybersecurity. He’s passionate about cybersecurity and helping students succeed. Brian Nichols is a paid member of the Red Ventures Education freelance review network. Last reviewed March 10, 2022.
