10 of the Best Jobs in Artificial Intelligence

Ready to take your career path into the future? Read on to learn how to join the AI revolution.

By Dillon Price, Monster Contributor

From chatbots and virtual assistants to autonomous vehicles and robots, artificial intelligence technology has become a part of our lives. As AI technology continues to advance, it will become both the job of the future and the future of existing jobs. If you’re ready to join the robot revolution, read on to learn how to find jobs in artificial intelligence.

There has never been a better time to work for artificial intelligence companies. In 2020 alone, 2.3 million new jobs in artificial intelligence were created. Plus, it’s estimated that there will be a demand for about 97 million people in artificial intelligence careers over the next few years.

Below, you’ll find details on the top tech companies that offer AI jobs. Plus, you’ll find tips on how to work in AI and the artificial intelligence jobs that might emerge in the future.

What Is the AI Industry?

The AI industry is a rapidly growing sector that’s revolutionizing the way we live and work. It involves machines and systems that can perform tasks that would typically require human intelligence, such as problem-solving, decision-making, and language processing.

AI is used across a variety of industries, including finance, healthcare, marketing, manufacturing, agriculture, retail, and business services.

Where to Find Careers in Artificial Intelligence and Machine Learning

Some of the best jobs in artificial intelligence and machine learning can be found in:

  • Big Data: Big Data refers to large, complex data sets that are generated from social media, platforms, scientific research, healthcare records, financial transactions, and many other sources.
  • Web Development: AI has revolutionized web development with chatbots, image recognition, user behavior analytics, and code writing.
  • Software Engineering: Software engineers use AI for automated testing and analysis, code reviewing, troubleshooting, and performance optimization.
  • Natural Language Processing: Natural language processing (NLP) uses AI to understand, interpret, and generate human language. This includes language translation, chatbots, sentiment analysis, and speech recognition.
  • Research: Scientific research uses AI for data analysis, drug and treatment discovery, predictive modeling, data collection, and experimentation.
  • Business Intelligence: Business intelligence uses AI for predictive analytics, NLP, chatbots, and automated reporting.
  • Cybersecurity: Cybersecurity uses AI for threat detection, behavioral analysis, automated responses, predictive analysis, and malware detection.
  • Robotics: AI is an essential part of robotics. It enables robots to learn, analyze, and make decisions based on the data collected by their sensors. That includes object detection and recognition, speech recognition, autonomous navigation, and predictive maintenance.

10 Top Jobs in Artificial Intelligence and Machine Learning

Just about every tech job you can imagine uses AI and machine learning. Some of the most popular ones include:

1. DevOps Engineer

What you’ll do: DevOps engineers bridge the gap between software development and IT operations and work to streamline the software development lifecycle. They often use AI algorithms to optimize the continuous integration and continuous deployment pipeline, analyze data, detect IT incidents, monitor infrastructures, and neutralize security threats.

What you’d need: To become a DevOps engineer, you’ll first need a bachelor’s degree in computer science, software development, or a related field. You’ll then need to gain some experience in software development or QA testing, and obtain a certificate such as AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer, or Microsoft: DevOps Engineer Expert.

What it pays: DevOps engineers earn between $99,595 and $142,739 per year.

Find DevOps engineer jobs on Monster.

2. Python Developer

What you’ll do: Python developers create software, websites, data management systems, and machine learning applications. Python is one of the most commonly used languages for machine learning, NLP, computer vision, deep learning, and data analysis.

What you’d need: Python developers typically need a bachelor’s degree in computer science, information management systems, or a related field. They should also have experience in the Python programming language, as well as other languages such as Django, CSS, and HTML.

What it pays: Python developers earn between $95,108 and $138,383 per year.

Find Python developer jobs on Monster.

3. Data Scientist

What you’ll do: Data scientists use statistical and computational methods to analyze and interpret complex data sets, then use this information to develop AI models and systems. According to the Bureau of Labor Statistics (BLS), data scientist jobs are expected to grow by 36% over the next decade.

What you’d need: A data scientist job typically requires a bachelor’s degree in mathematics, statistics, computer science, or a related area of study. It also requires experience with programming languages such as Python, R, and SQL to analyze and manipulate data.

What it pays: Data scientists earn between $88,606 and $134,242 per year.

Find data scientist jobs on Monster.

4. Business Intelligence Analyst

What you’ll do: Business intelligence analysts use data to create market and finance intelligence reports. They often utilize AI-driven business analytics and machine learning algorithms to extract complex data from multiple sources.

What you’d need: Most business intelligence analyst jobs require a bachelor’s degree in computer science, mathematics, economics, business administration, or a related field. They also require experience with statistics, data modeling, and data visualization.

What it pays: Business intelligence analysts earn between $59,252 and $110,677 per year.

Find business intelligence analyst jobs on Monster.

5. Software Developer

What you’ll do: Software developers design, create, test, and maintain software programs. They often use AI to streamline and automate coding and testing processes, reduce waste, and prevent potential errors and bugs. The BLS estimates that software developer jobs will increase by 25% over the next decade.

What you’d need: Software developers typically need a bachelor’s degree in computer and information technology, computer science, or a related field. Software developer jobs also require proficiency in programming languages (e.g., C++, Java, or Ruby), coding, and testing.

What it pays: Software developers earn between $64,723 and $127,321 per year.

Find software developer jobs on Monster.

6. Information Security Analyst

What you’ll do: Information security analysts are responsible for protecting computer systems and networks from cyber threats and security breaches. They often use AI technology for real-time threat detection, vulnerability scanning, fraud detection, and user behavior analysis. Information security analyst jobs will increase by 35% over the next ten years, according to the BLS.

What you’d need: An information security analyst job requires a bachelor’s degree in computer science, cybersecurity, or a related field. Many employers prefer candidates who have certifications such as the Certified Information Security Professional, CompTIA Security+, or Certified Ethical Hacker credentials.

What it pays: Information security analysts typically earn between $67,605 and $109,526 per year.

Find information security analyst jobs on Monster.

7. Machine Learning Engineer

What you’ll do: Machine learning engineers are responsible for designing, building, and maintaining complex algorithms and models. They play a vital role in creating machine learning applications used for data collection and management, ensuring the accuracy and relevance of the data used to train machine learning models.

What you’d need: Machine learning engineer jobs typically require a bachelor’s degree in computer science, mathematics, statistics, or a related field. Machine learning engineers also need proficiency in Python, data structures, algorithms, deep learning, neural networks, and machine learning libraries such as TensorFlow and PyTorch.

What it pays: Machine learning engineers typically earn $114,995 per year.

Find machine learning jobs on Monster.

8. Computer Vision Engineer

What you’ll do: Computer vision engineers specialize in the development and implementation of computer vision algorithms and systems that perceive, analyze, and make decisions based on visual data. They work with a range of technologies such as machine learning, computer graphics, and image processing.

What you’d need: To become a computer vision engineer, you would need at least a bachelor’s degree in computer science or a related field. Many employers prefer candidates with a master’s degree (or higher) in computer vision, AI, or machine learning.

What it pays: The median salary for computer vision engineers is $116,282 per year.

Find computer vision jobs on Monster.

9. Algorithm Engineer

What you’ll do: Algorithm engineers design and develop algorithms to solve complex problems in computer science, engineering, mathematics, and other technical and scientific fields. They use mathematical models, data structures, and computational techniques to create effective algorithms that can be implemented into software applications and systems.

What you’d need: Algorithm engineer jobs require at least a bachelor’s degree in computer science, mathematics, or a related field. They also require experience in programming languages (Python, C++, C, and JavaScript), signal processing, and machine learning.

What it pays: The median salary for algorithm engineers is $121,500 per year.

Find algorithm engineer jobs on Monster.

10. Web Developer

What you’ll do: When you work as a web developer, you’ll design, build, and maintain websites using programming languages such as HTML, CSS, and JavaScript. You’ll also work with AI to create chatbots, content personalization algorithms, and search algorithms. The BLS projects a 23% increase in new web developer jobs over the next ten years.

What you’d need: Many web developer jobs require a bachelor’s degree in computer science, computer programming, web development, or a related field. They also require proficiency in programming languages such as HTML, CSS, Java, JavaScript, and SQL, as well as user-interface design and backend development.

What it pays: Web developers typically earn between $59,527 and $120,085 per year.

Find web developer jobs on Monster.

What Do Jobs in Artificial Intelligence Entail?

AI jobs require a strong background in computer science, mathematics, and statistics. They also require a deep understanding of machine learning algorithms, problem-solving, creative thinking, and the ability to work collaboratively.

Jobs in artificial intelligence often include working with algorithms, tools, and technologies to build intelligent machines that can perform tasks traditionally completed by humans. When you work in AI, your job may include:

  • Designing, developing, and deploying AI-powered systems and applications.
  • Building and training machine learning models to analyze and interpret data for various purposes.
  • Developing NLP and speech recognition systems.
  • Implementing computer vision and image recognition technologies.
  • Working with data mining and predictive analysis tools.

Best AI Companies to Work For

From startups to tech giants, many companies are leading the way in AI research, development, and automation. If you’re looking for jobs in artificial intelligence, here are some of the best companies to work for.

1. Amazon Web Services (AWS)

AWS is a subsidiary of Amazon and a cloud computing platform that offers computing, storage, networking, app development, and security services. Some of the AWS tools that use AI include:

  • SageMaker: This uses pre-built algorithms and models and tools for data labeling and annotation, allowing developers to build, train, and deploy machine learning models at scale.
  • Comprehend: This tool allows developers to extract insights from text data—including sentiment analysis and entity recognition—by using NLP.
  • Rekognition: This tool enables developers to analyze and interpret visual data using computer vision.
  • Lex: Lex enables developers to build chatbots and other conversational interfaces that can understand and respond to natural language input.

Find AWS jobs on Monster.

2. Salesforce.com

Salesforce uses AI to help businesses improve their sales and marketing strategies. Here are a few examples:

  • AI algorithms can help sales teams prioritize leads by analyzing data such as website activity.

  • Salesforce’s Einstein Analytics platform uses AI to analyze data and make predictions about future trends.
  • AI-powered chatbots can help businesses automate customer service tasks.
  • Salesforce’s Marketing Cloud uses AI to personalize marketing campaigns based on customer behavior and preferences.
  • Salesforce’s Einstein Voice platform allows sales teams to use voice commands to update records, schedule meetings, and get insights into their accounts.

Find Salesforce jobs on Monster.

3. Metaverse Platforms, Inc.

Meta (formerly known as Facebook) uses AI to drive engagement and improve user experience. For example, it provides users with personalized content and chatbot interactions and ad targeting. It also uses image recognition that allows users to tag people in photos.

Meta also uses AI to scan and moderate content uploaded by users to identify and remove posts that violate their community standards. Plus, it provides recommendations for content, groups, and pages based on users’ behavior.

Find Meta jobs on Monster.

4. IBM

IBM has been at the forefront of AI technology for years. IBM’s cognitive computing system, Watson, analyzes vast amounts of data and provides insights across a variety of industries, from healthcare to finance. IBM research explores how AI can be used in fields such as healthcare, transportation, and energy.

Also, IBM Cloud provides a platform for businesses to build and deploy AI-powered applications, using IBM’s expertise in data analytics, machine learning, and natural language processing.

Find IBM jobs on Monster.

5. Microsoft Azure

Microsoft Azure is a cloud computing platform designed to help organizations build, manage, and deploy applications quickly and efficiently. AI plays a critical role in achieving this goal. The Azure Machine Learning service allows businesses to build and deploy machine learning models with ease. It comes with a wide range of pre-built tools and templates.

Azure also uses the Cognitive Services suite, which provides pre-built APIs for NLP, computer vision, and other AI-related tasks. This makes it easy for users to implement AI in applications, even if they don’t have a lot of experience with it.

Find Microsoft Azure jobs on Monster.

Best Machine Learning Companies to Work For

Are you interested in working in machine learning? Here are some of the best machine learning companies to work for.

1. Google Cloud

Many of Google Cloud’s services enable users to build and deploy AI applications. These include:

  • Google Cloud AI Platform: This is a suite of machine learning tools that enable users to build, train, and deploy machine learning models.
  • Google Cloud AutoML: This tool allows users without experience in machine learning to build custom machine learning models.
  • Google Cloud Vision API: This API offers several pre-built models and APIs that enable users to incorporate image and video recognition into their applications.
  • Google Cloud Natural Language API: This API offers sentiment analysis, entity recognition, and other language processing functions.
  • TensorFlow: This is a popular open-source machine learning framework often used with Google Cloud.

Find Google Cloud jobs on Monster.

2. Cloudera

Cloudera is a software company that specializes in big data and data management. It uses Cloudera Data Science Workbench, an AI and machine learning platform that allows data scientists to build and deploy models using popular programming languages such as Python and R. It also has built-in support for popular machine learning frameworks such as TensorFlow and PyTorch.

The Cloudera DataFlow product uses AI and machine learning to help automate data flows and data management tasks. It can also detect anomalies and potential issues in real time, allowing organizations to take action quickly.

Find Cloudera jobs on Monster.

How to Get Jobs in Artificial Intelligence

Whether you’re a recent graduate or an experienced professional looking to switch careers, you can start a career in artificial intelligence. If you’re not sure where to start, just follow the steps outlined below to learn how to get a job in AI.

1. Complete the Educational Requirements for Jobs in Artificial Intelligence

AI jobs typically require a bachelor’s degree in computer science, data science, mathematics, statistics, or a related field. Expect to complete college courses in AI-related subjects such as computer vision, natural language processing, deep learning, data mining and analysis, probability and statistics, algorithms design, and robotics.

2. Build the Skills You Need for Careers in AI

To work in AI, you need a strong combination of technical and soft skills, including:

  • Proficiency in programming languages such as Python, C++, and Java.
  • The ability to analyze data and train machine learning models.
  • Experience with NLP tools such as Genism, IBM Watson, and SpaCy.
  • A deep understanding of machine learning algorithms.
  • The ability to think creatively and outside the box.
  • Excellent problem-solving and troubleshooting skills.
  • Exceptional communication skills.

3. Gain AI Experience Through Apprenticeships/Internships

If you don’t have a lot of hands-on experience in AI, consider enrolling in an internship or apprenticeship program. In an AI internship, you would likely work on a variety of projects such as data collection and analysis, AI model development, AI testing and validation, and AI research.

Several tech companies and organizations offer internship programs, including:

An AI apprenticeship allows you to work alongside experienced tech professionals. In an apprenticeship, you develop practical skills and gain experience working with AI while receiving feedback and guidance.

You typically need a bachelor’s degree in an AI-related field or boot camp training to enter an apprenticeship.

4. Create a Resume and Cover Letter for Jobs in Artificial Intelligence

When it comes to landing an AI job, your tech resume is the first thing a potential employer will see. But with so many resumes flooding their inboxes, how can you make yours stand out from the rest?

Your resume should highlight relevant skills such as Python, data analysis, mathematics, statistics, NLP, deep learning, and problem-solving. Also, showcase any relevant AI experience you have from previous jobs, internships, and projects you’ve worked on.

Sending a cover letter—even if the job ad doesn’t specify it—is an effective way to introduce yourself to potential employers, discuss your passion for AI, and describe your tech background and experience. See this computer science cover letter sample to gain writing tips and inspiration.

5. Interview for Jobs in Artificial Intelligence

To successfully land jobs in artificial intelligence, you’ll need to bring your A-game during an interview. It helps to brush up on the latest trends, technologies, and AI buzzwords before your interview. Be prepared to answer questions on:

  • The uses of AI and machine learning.
  • Neural networks.
  • Deep learning.
  • TensorFlow.
  • Intelligent agents.

What Jobs Will AI Create in the Future?

From self-driving cars to more advanced healthcare and education systems, AI has already transformed the world as we know it. AI has the potential to further revolutionize many industries and make our lives easier in countless ways.

And people will be needed to lead the revolution. In fact, AI has the potential to create more jobs in the future:

  • It could create new industries and businesses that didn’t previously exist, providing more job opportunities.
  • There will likely be an increase in demand for data scientists, machine learning engineers, and robotics jobs.
  • Automation will free up time and money from tedious and repetitive tasks, leading to greater productivity.
  • More jobs in artificial intelligence will emerge such as AI trainer, ethical hacker, AI business strategist, AI interaction designer, and AI content creator.

The Future Is Here and It’s Hiring

Download Monster’s job search app for your iPhone or Android device and start looking for jobs in artificial intelligence. Our app makes job searching easy with its swipe and one-click apply feature. Plus, it offers daily job picks for positions that match your skills, interests, and experience with automated job-matching.