11 Artificial Intelligence (AI) Careers to Consider in 2024

The widespread integration of artificial intelligence (AI) across industries — from healthcare to commerce and finance — means a surge in job opportunities within the AI sector. If you’re among the many people interested in pursuing an AI-related career, read on. We’ll show you a selection of jobs to choose from and offer advice on how to get started. 

Why Choose a Career in AI

AI skills will be increasingly in demand as we move into the future of computing. A recent report from the McKinsey Global Institute shows that there will be an estimated 23% increase in the demand for STEM (Science, Technology, Engineering, and Mathematics) jobs by 2030, which includes roles related to AI and programming. By 2027, the demand for workers with AI skills is expected to grow by at least 40%. So, now’s a great time to consider developing the skills you need for an AI-related career!

11 Artificial Intelligence (AI) Careers to Consider

AI-related careers cover many different fields and industries, as well as a wide variety of tasks. Here are 11 jobs to consider in AI, including what skills you should develop as you start your path.

Note that salaries were sourced from Indeed and ZipRecruiter, and were accurate as of the time of writing in 2023.

1. Big Data Engineer

Average U.S. annual salary: $125,662

Top U.S. annual salary: $169,000

Related coding skills: Java, SQL, and Python

A big data engineer specializes in maintaining and developing large data architectures tailored for businesses. Core responsibilities include establishing an efficient ecosystem for seamless interaction among business systems. Big data engineers are also entrusted with creating and administrating an organization's extensive data.

This role is ideal for those inclined toward exploring new technical tools and moving beyond conventional relational databases. A solid grasp of data migration, coupled with skills in data visualization and mining, can help you on your way to becoming a big data engineer. 

2. AI Consultant

Average U.S. annual salary: $89,203

Top U.S. annual salary: $151,031

Related coding skills: Java, JavaScript, and Linux

An AI consultant guides companies toward the effective integration of AI systems. They oversee AI projects and lead internal teams in utilizing and maintaining AI technologies. They might also conduct a comprehensive review of the company’s existing systems to make sure it’s compatible with new AI. Responsibilities may range from project management to ensuring that AI solutions align with specific requirements.

Given the diverse nature of their tasks, AI consultants must possess a comprehensive understanding of AI as a whole. This includes proficiency in intricate domains like machine learning (ML) and deep learning (DL) and the ability to develop and deploy algorithms.

3. Machine Learning Engineer

Average U.S. annual salary: $127,448

Top U.S. annual salary: $185,000

‍Related coding skills: Python, Java, and R

Machine learning engineers delve into customer insights, risk management, and the ongoing simplification of machine learning (ML) principles within a company's framework. They use data management skills to handle extensive datasets effectively. This role caters to individuals drawn to neural networks, cloud applications, and the added value offered by software development tools. 

This position may also include the creation of self-learning software and automating intricate models. Collaborating closely with data scientists, machine learning engineers construct theoretical models that enable real-time processing of vast data volumes.

4. Robotics Engineer

Average U.S. annual salary: $97,875

Top U.S. annual salary: $151,000

Related coding skills: Python, C, C++

Robotics engineers design machines capable of executing both simple and intricate tasks. They collaborate closely with AI developers to create machines that utilize algorithms for learning and adaptive responses to their environment, going beyond predefined scripts. 

This role is expected to revolutionize various industries, from everyday consumers to government intelligence operations. It’s an ideal career for innovative computer scientists, offering a way to demonstrate your technical prowess and creativity. Familiarity with robotics frameworks and platforms like ROS (Robot Operating System) is helpful for getting started in this innovative career.

5. Business Intelligence Analyst

Average U.S. annual salary: $89,896

Top U.S. annual salary: $136,168

Related coding skills: Python, Java, R

A business intelligence analyst leverages business data with AI programs to make informed assumptions and predictions regarding future business trends. They evaluate trends in profit, ROI, ROA, ROE, and other business metrics. Their insights guide companies toward the most strategic course of action.

A major aspect of this role includes creating data models, which, in turn, generate visual representations for stakeholders.

6. Data Scientist

Average U.S. annual salary: $127,128

Top U.S. annual salary: $197,000

Related coding skills: AWS, C++, and Python

Data scientists’ primary focus is gathering and assessing relevant data from diverse sources to derive insightful conclusions. They’re expected to formulate predictions that contribute to informed decision-making. This requires exceptional analytical skills.

They must also possess effective communication skills to interact with managers and accurately convey complex insights.

7. User Experience (UX) Designer/Developer

Average U.S. annual salary: $115,956

Top U.S. annual salary: $156,500

Related coding skills: HTML, CSS, and JavaScript

This role revolves around optimizing digital interfaces for seamless user interaction. UX Developers must possess a comprehensive understanding of organizational structures to ensure that the digital presence aligns with contemporary standards and prioritizes user-friendliness.

This is an excellent job for those who enjoy designing interactive websites and intuitive user interfaces. Job responsibilities may include effectively translating ideas using storyboards as a communication tool.

Responsibilities may also involve creating automated tests, collaborating with marketing teams, and revising code to optimize interface usability. Incorporating AI tools, such as chatbots and algorithmically-driven pages, may be part of a strategy to create a satisfying and intuitive customer interface.

8. Research Scientist

Average U.S. annual salary: $98,541

Top U.S. annual salary: $176,285

Related coding skills: C and C++

AI research scientists are staying at the forefront of AI technology. They contribute to the development of cutting-edge techniques and infrastructure to harness the potential of AI across diverse industries. 

Duties may include planning experiments, meticulously recording data, conducting thorough analysis, and authoring research papers. AI research scientists present their findings at scientific conferences and contribute to the broader body of knowledge in AI research.

For this career, you’ll need expertise in applied mathematics, machine learning, deep learning, and computational statistics. 

9. Natural Language Processing (NLP) Engineer

Average U.S. annual salary: $88,673

Top U.S. annual salary: $119,000

Related coding skills: Python, Java, and R

Natural language processing (NLP) engineers ensure that NLP systems adeptly handle speech patterns and AI speech recognition. These engineers use their programming skills to process and analyze natural language data as well as define datasets for effective language learning. These engineers refine models as needed and stay abreast of the latest developments in ML and AI.

Depending on the work environment, it may be common to collaborate with fellow engineers, data scientists, designers, and front-end developers. Additionally, NLP engineers may find themselves in various meetings, often tasked with translating technical information into accessible reports or presentations for non-technical audiences.

10. AI Product Manager

Average U.S. annual salary: $116,080

Top U.S. annual salary: $180,500

Related coding skills: Python, JavaScript, and C++

Natural problem-solvers make excellent AI product managers. People in this role lead and guide teams toward developing AI-based solutions by collaborating with engineers and data scientists to create innovative AI products.

AI product managers need proficiency in deep learning and machine learning so they’ll know how AI techniques can address specific challenges. They should be able to evaluate existing products and determine how they can be enhanced by integrating AI methodologies.

11. Computer Vision Engineers

Average U.S. annual salary: $119,659

Top U.S. annual salary: $137,000

Related coding skills: Python, C++, and Java

Computer vision engineers enable computers to comprehend and interpret visual data through AI-powered machine learning and computer vision techniques. This involves collaborating closely with fellow engineers to create systems capable of detecting and categorizing images, videos, and other visual data.

They’re part of advancing technology's capacity to "see" and process images, extracting vital information such as motion, distances, and movements. The impact of this work is already evident in everyday life, including rear-view cameras in automobiles.

How to Get Started in an AI Career

With so many opportunities for well-paying, fulfilling careers in AI, how do you know where to start?

Choose an AI Career Path

To get started on your AI career path, begin by researching the diverse roles within the AI landscape. Think about your interests and natural talents, and see what you can do that aligns with an AI career you might enjoy. This step will lay the foundation for a successful journey in the field of artificial intelligence.

Develop the Necessary Skills

While a degree in computer science or a related field can help you, it's not the only way to get started. Essential skills, like proficiency in basic coding languages and a solid technical aptitude, go a long way when starting a career in AI. 

Coding bootcamps (like App Academy) can offer a great alternative to 4-year degrees. A good bootcamp will equip you with fundamental skills you can readily apply to AI roles. With this foundation, you can confidently pursue a career in artificial intelligence.

Gain Experience

In the world of computing careers, hands-on experience is a major bonus. Consider joining a technology club or seeking out an internship. These avenues provide practical exposure to AI concepts and applications, allowing you to build a foundation of experience even without a background in the field. They’re also great opportunities for networking and meeting people who may be able to help you get started in your AI career.

Consider Certification

As you pursue a career in AI, consider getting certified in one of the areas listed below. Even without a formal degree, certifications showcase your commitment to your career and skill development. These certifications serve as tangible validations of your expertise in the field and can greatly enhance your prospects in the competitive AI job market. Notable certifications in the AI domain include:

• The MIT course on "Artificial Intelligence: Implications for Business Strategy”

• The United States Artificial Intelligence Institute (USAI) certifications:

1. Certified Artificial Intelligence Engineer (CAIE)
2. Certified Artificial Intelligence Consultant (CAIC)
3. Certified Artificial Intelligence Scientist (CAIS)

• The Artificial Intelligence Board of America (ARTIBA) certification in Artificial Intelligence Engineering

Get Started With App Academy

While at App Academy we do not directly prepare you for specific AI jobs, we will teach you the essential coding and engineering skills you need to get started, including Python, JavaScript, HTML, CSS, SQL, and more. Our graduates also receive robust career guidance, including resume workshops, interview prep, and networking opportunities. 

Explore our different program options, take a closer look at our curriculum, and read more about our approach to AI. And if you still have questions, reach out today to set up a time to speak with an Admissions Specialist.

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