Career Insights: Everything You Need To Know About AI Engineers

Career Insights: Everything You Need To Know About AI Engineers

Learn everything about AI engineer jobs: Roles and responsibilities, qualifications, top institutes, and recruiters, etc.

Roles and responsibilities: An Artificial intelligence engineer is a person who is responsible for developing, programming, and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science, and data engineering. AI engineers are primarily responsible for using various programming algorithms so that they can build, test and deploy AI models. Some of the other duties commonly found in an artificial intelligence engineer job description include:

Coordinating with other team members, creating and managing the AI development process and overall infrastructure of the product, conducting statistical analysis, and interpreting the results so that they can guide the organization's decision-making process, etc.

Average Salary (per annum): US$110,000


  • Bachelor's degree in IT, Computer Science, Statistics, Data Science, Finance, etc., etc.
  • Master's degree in Computer Science, Mathematics, Cognitive Science, Data Science, etc.
  • Certifications in Data Science, Machine Learning, etc.
  • Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis, etc.), statistics and classification algorithms
  • Knowledge of Python, Java, and R.

Top 3 Online Courses:

IBM Applied AI Professional Certificate: This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.

AI coding, Google AI education: Anyone who's ever wanted to get their start in artificial intelligence can take this course. Specially crafted by Google's engineers to be as accessible as possible, it slowly provides you with compounding knowledge on coding AI, eventually leading you to the point of being able to code artificial intelligence programs by yourself. This is a series of courses, guides, and concept overviews created by Google which aim to provide you with a solid foundation of knowledge in artificial intelligence and all topics related to it.

AI programming with python nano degree, Udacity: "AI Programming with Python Nanodegree" is an outstanding beginner-oriented AI course on Udacity. It's a 3-month crash course that teaches using Python for developing learning algorithms. Udacity accepts all students into this program regardless of their prior experience. Yet, a basic knowledge of algebra and programming is recommended. But, learners who don't know Python programming can take Udacity's "Intro to Programming"Programming ". This course covers general-purpose programming and all the prerequisites for the AI course.

Top Institutes Offering the program:

  • Master of Science in Artificial Intelligence: Rochester, New York
  • Master of Science in Artificial Intelligence:  Northwestern University
  • B.S. in Cognitive Science: Rensselaer Polytechnic Institute

Top Recruiters for This Job:

Amazon: In its job description for an "AI engineer," Amazon says it has been investing in artificial intelligence for 20 years, using it to recommend items to customers, map routes for robots in fulfillment warehouses, and recognize speech for its Alexa-powered products. The AI engineer role in Amazon is recruiting for work in the Amazon Web Services unit, which helps companies scale their technological operations.

Nvidia: The company has had quite a run over the past two years — its stock has risen six-fold because it sells computer chips that power AI applications, and demand is incredibly high. One of Nvidia's openings is an "AI developer technology engineer," a role that requires either a Ph.D. or a master's degree plus three years of relevant experience. The job description speaks with grandeur about the future capabilities of AI. 

Microsoft: Microsoft Corporation is an American multinational technology company that produces computer software, consumer electronics, personal computers, and related services. Its best-known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers.

IBM: The company is building a new consulting practice focused on AI and automation, according to a job description for an "Associate Partner – Applied AI Automation Strategy." IBM aims to help organizations improve their business models, job functions, and customer interactions using AI. The associate partner opening is based in Phoenix and requires at least 10 years of experience leading AI, analytics, technology, or digital strategy projects.

Accenture: Accenture plc is an Irish-domiciled multinational company that provides consulting and professional services. A Fortune Global 500 company, it reported revenues of $44.33 billion in 2020 and had 569,000 employees. Accenture's current clients include 91 of the Fortune Global 100 and more than three-quarters of the Fortune Global 500. This company focuses on growing customer expectations, market-shaping AI, Self-Optimizing systems.

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