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Artificial Intelligence Engineer Salary: Factors and Trends


You will be surprised to know an artificial intelligence engineer's salary! With AI taking over the world, you cannot deny that the superhumans, "Artifical Engineers," are much in demand and are earning some real bucks!

According to the reports of Global Market, the demand for AI engineers is likely to grow at around 35% CAGR from 2023 to 2032. If you are also looking to build a promising career in AI, learn about the various factors that impact an Artificial Intelligence Engineer's Salary. Sharpen your skills to grab these big paychecks through a credible artificial intelligence training and certification course! 

Read ahead to learn more!

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Who is an AI Engineer, and What Makes Them So Special?

An AI engineer, often considered a technological wizard of the modern era, is a professional who specializes in the development, implementation, and maintenance of artificial intelligence (AI) systems and applications. Their unique blend of skills and expertise sets them apart and makes them so special. These individuals deeply understand machine learning algorithms, data analysis, programming languages, and data engineering techniques. Some roles and responsibilities of AI engineers include:

  • Selection and assessment of AI algorithms, frameworks, and models to conclude the most appropriate ones for the precise use cases and problems.
  • An artificial intelligence engineer has to design solutions and blueprints of a system that chart the algorithms, technologies, and components needed to build AI solutions.
  • Data pipelines and strategies are designed for attaining, preprocessing, altering, and onslaughting data to ensure its aptness for the training and deployment of AI models.
  • An AI engineer has to oversee the development and training 0r from maintenance to performance of AI models, selecting appropriate techniques such as machine learning, deep learning, or reinforcement learning.
  • Optimizing the performance of AI algorithms and models to enhance efficiency, accuracy, and scalability while considering speed, memory usage, and computational resources.
  • An artificial intelligence engineer has to make sure ethical and responsible AI practices by addressing privacy, bias, fairness, and precision throughout the lifecycle of an AI system.
  • Collaborate with development teams to integrate Artificial Intelligence systems into existing infrastructure, ensuring seamless deployment, scalability, and interoperability.
  • An AI engineer has to perform scrupulous testing and validation to assess the reliability, performance, and robustness of AI systems and iteratively process them based on evaluation and feedback.
  • Staying current with AI technology advancements, discovering new methodologies and algorithms, and integrating appropriate improvements into architectural implementation and design.

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What is The Salary of an Artificial Intelligence Engineer?

According to Glassdoor, the average national salary of an AI Engineer is approximately $110,000 to $150,000 annually. Currently, one of the most worthwhile career paths across the globe is none other than AI engineering. There has been an exceptionally growing demand for artificial intelligence engineers in the IT market for some time now. Due to this reason, AI engineer salaries also perked up. Let’s break down the salary details of an AI engineer!

The average salary of artificial intelligence engineers based on location.


Average Annual Salary 

United States (US) 

over $110K.

United Kingdom (UK) 

over 60,000 pounds per annum


Over ₹9,90,000


Singapore is S$74,943


$110,000 per year. 


over 85,000 C$ 


AED 344,959  


€ 58,000


somewhere around €84,574.

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Artificial Intelligence engineer' salary based on their experience is listed below:

  1. Entry-level (0-2 years of experience): Approx $ 55,810 to $68,734
  2. Mid-level (2-5 years of experience): Approx $70,734 to $84,312
  3. Experienced (5-10 years of experience): Approx $85,312 to$98,750
  4. Senior-level (10+ years of experience): Approx over $110K+

Other AI positions similar to Artificial Intelligence Engineers who bag high packages include:

AI Position 

Average Annual Salary (Approx)

Machine Learning Engineer 


AI Researcher 


Data Engineer 


Data Scientist 


Robotics Engineer 


Best Countries for Artificial Intelligence Jobs

Top Companies Hiring Certified AI Engineers

Here are some of the well-known companies that have historically been prominent in hiring AI engineers:

Google: Google is at the forefront of AI research and applications, with teams working on projects such as Google Brain and Google AI. They hire AI engineers for various roles, including research, software, and product development.

Facebook: Facebook (now Meta Platforms, Inc.) also has a strong AI presence, focusing on natural language processing, computer vision, and AI ethics. They offer opportunities for AI engineers to work on cutting-edge projects.

Amazon: Amazon is actively using AI in e-commerce, cloud computing (AWS), and robotics. They hire AI engineers for machine learning, data science, and AI research roles.

Microsoft: Microsoft is involved in AI research and development across various products and services, including Azure AI and Microsoft Research. AI engineers are recruited to work on a wide range of AI-related projects.

Apple: Apple uses AI in products like Siri and its computer vision technologies. They hire AI engineers to contribute to developing AI-driven features and applications.

Essential Tips for Higher AI Engineer Salary

The competition in the IT market is rising massively day-to-day, so it is significant for candidates to know the precise strategies to boost their salary. Here are some tips for aspirants to improve their grossing potential and lock lucrative positions in Artificial Intelligence:

  • Upgrade your skills – The positions in AI are vast, so each position needs unique skill sets. To boost your salary graph, perk up your skills with more add-on skill sets. If you are a beginner, try to learn and advance your skill set by enrolling in specific online Artificial Intelligence certification courses.
  • Stay up-to-date with the technologies – Exploring and learning new technologies that come your way is significant in AI because this is one of the dynamic industries. This leads you to keep pace with other AI experts, stay abreast, and contribute to a higher salary.  
  • Join a certification course – One of the best possible ways to improve your salary scale is by joining the right training platform. Enroll in Janbask’s Artificial Intelligence Course Online, which will not only offer you knowledge and skills but also enhance your portfolio and increase your chances of getting shortlisted.
  • Develop your soft skills – AI is one of the growing fields, so despite the role, soft skills improvement is essential for salary growth. The required soft skills in AI include Motivation, curiosity, problem-solving, communication, aptitude, creativity, decision-making, and collaboration.
  • Get a relevant master’s degree – Though some people say without a degree, one can become an AI professional. But the truth is a relevant master's degree will aid you in a deeper understanding of AI and ML concepts and increase your marketability and chances of getting noticed by potential employers.
  • Salary negotiation – The common mistake most job seekers make is not negotiating the salary. It is advisable to research the particular company and job market to know your significance. Glassdoor and Payscale are two worthwhile portals for your time investment in salary comparison.

Various Job Roles for Artificial Intelligence Engineer

  • Data Scientist: This position involves the usage of ML algorithms and mathematical methods to build strategies and develop data-based forecasts—as processing, collecting, and evaluating huge datasets to pull insights and make analytical models. R, Python, SQL, and Tableau are the programming languages and tools used.
  • Machine Learning Engineer: This role involves deploying, designing, and executing ML models and algorithms. ML engineers collaborate with software engineers and data scientists to build flexible and efficient systems of ML. Scikit-Learn, TensorFlow, PyTorch, Python, Java, and C++ are the frameworks and programming languages used. 
  • AI Engineer: This job involves implementing and designing hardware and software AI systems. Also, technical team leading, defining the scope of a project, understanding and developing required solutions, and AI strategy development. Scikit-Learn, TensorFlow, PyTorch, Python, Java, and C++ are the frameworks and programming languages used.
  • AI Consultant: This position involves implementing and developing AI solutions, identification, and problem-solving using AI technologies. Also aids their patrons by delivering technical proficiency and guidance on AI solutions through AI programming languages, tools, and frameworks.
  • Chief AI Officer: This job involves leading the entire AI strategy. The responsibilities of this role include handling identifying and originating new AI opportunities, AI development and research projects, and ensuring that AI initiatives meet the organization's goals. Also, assigning resources to AI projects and establishing and prioritizing AI potentials.
  • VP of Artificial Intelligence: This position involves managing all operations of AI in an organization. The responsibilities of this role include implementing and developing AI strategies, overlooking the products and service developments of AI, managing and motivating the entire AI team, and aligning AI strategies to meet the goals of an organization.

However, you may want to consider other top AI jobs including AI researcher, AI software engineer, systems engineer, hardware engineer, network engineer, user experience designer, information security analyst, and database administrator. These are some of the many exciting and in-demand opportunities in AI. One can find a job that suits their interests and abilities, with the right skills and experience.

How To Make a Career in Artificial Intelligence?

Building a career in artificial intelligence (AI) involves a combination of education, skills development, practical experience, and networking. Here are the steps to help you establish a career in AI:

  • Bachelor's Degree: Start with a bachelor's degree in a related field such as computer science, mathematics, data science, engineering, or a related discipline. A strong foundation in these areas is crucial.
  • Advanced Degrees (Optional): Consider pursuing a master's or Ph.D. in AI or machine learning for more specialized knowledge and better job prospects in research or advanced roles.
  • Learn the Fundamentals: Develop a solid understanding of mathematics, including linear algebra, calculus, and probability theory. These are essential for understanding the core concepts of AI and machine learning.
  • Programming Skills: Become proficient in programming languages commonly used in AI, such as Python. Learn libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Machine Learning and Deep Learning: Study machine learning and deep learning techniques. This includes supervised learning, unsupervised learning, reinforcement learning, and neural networks.
  • Data Handling and Preprocessing: Learn data preprocessing techniques, as working with clean and well-structured data is a critical part of AI projects.
  • Projects and Practical Experience: Work on AI projects, either as part of coursework, personal projects, or through online platforms like Kaggle. Building a portfolio of AI projects is invaluable.
  • Online Courses and Resources: Enroll in online AI courses to gain an industry-recognized certification and enhance your AI skills.

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What are the Skills and Educational Requirements of an AI Engineer?

The required skills and educational qualifications to become an Artificial Intelligence Engineer are as follows:

Technical skills

  • Educational Qualification: Proficiency in Mathematics, Physics, Chemistry, and Robotics. Also, a bachelor’s degree in computer science and a master's in AI is essential for better career enhancement.
  • Programming Languages: AI engineers should be experts in Python, Java, R, and C++. They should also be familiar with relevant packages and libraries.
  • Mathematics and Statistics: For machine learning, candidates should have a strong understanding of statistics, linear algebra, probability, and calculus. Also, developing models, statistical validation, and efficiency ensuring is essential.
  • Applied Mathematics and Algorithms: A clear understanding and practical application of algorithm theory and applied mathematics, like quadratic programming, Lagrange, gradient descent, convex optimization, and partial differential equations, are necessary.
  • Tools: Required big data tools include Hadoop, Apache Spark, MongoDB, and frameworks such as PyTorch, Keras, and TensorFlow—expertise in AI models like linear discriminate analysis, hidden Markov, Naive Gaussian, and Bayes. Need to be solid in neural networks and natural language processing.

Non-Technical Skills

  • Problem-solving, critical thinking, decision-making, and leadership skills are highly desirable.
  • Creativity, business knowledge, and collaboration are essential.
  • Strong communication, prototyping abilities, and presentation are valuable for conveying ideas and demonstrating expertise.

These skills and qualifications are vital for an aspiring AI Engineer to stand out. Some of the certification courses of AI are AWS Certified Solutions Engineer and Microsoft Certified – Azure AI Engineer Associate.


We hope after reading this blog, you have an idea of how AI engineers are booming globally based on various experience levels. Day by day, top industries like tech, medical, and financial services are incorporating AI, which leads to a rise in AI engineers' salaries and the demand for AI online certification courses. Defense and Government Sectors also hire AI engineers; the paychecks are quite lucrative. 

Aspirants should skill up through top-notch AI training and build a sound career!


Q1. How to become an AI engineer?

Ans- The basic qualification to become an AI engineer is a bachelor's degree in related fields like information technology, computer science, statistics, or data science. After gaining a bachelor's degree, you can also pursue a postgraduate degree specializing in the specific field of AI.

Q2. What skills are needed to be an AI engineer?

Ans- Expertise in programming languages such as Python, R, Java, Scala, TypeScript, and C++ Extensive knowledge of probability, statistics, calculus, and linear algebra. Understanding AI models such as Naive Bayes, linear discriminant analysis, Hidden Markov, and Gaussian mixture models.

Q3. What are AI engineer education requirements?

Ans- Bachelor's degree in AI-related fields, such as data science, computer science, IT, or statistics.

Master's degree (though not typically required) in data science, mathematics, cognitive science, or computer science disciplines.

Enrollment in additional AI-related courses and certification programs.

Q4. How long does it take to become an AI engineer?

Ans- The time it takes to become an AI engineer depends on several factors such as your current level of knowledge, experience, and the learning path you choose. However, it may take around 8 weeks to gain the best certification to become an AI engineer.

Q5. What is the salary of an AI engineer?

Ans- According to ZipRecruiter, As of Sep 17, 2023, the average annual pay for an Artificial Intelligence Engineer in the United States is $98,340 annually. 

Q6. How hard is AI engineering?

Ans- AI engineering can be challenging to study due to its multidisciplinary nature, which combines concepts from computer science, mathematics, statistics, and domain-specific knowledge. It requires a solid foundation in programming, algorithms, machine learning, and deep learning.

Q7. Best certifications for AI engineers

Ans-  Artificial Intelligence Online Certification Training from JanBask Training. 

Start your AI career with our Artificial Intelligence training program and gain practical learnings around Deep Learning and Machine Learning and the clean-coded & influential programming languages.

Get equipped with our real-world case studies to qualify the competent AI certifications and level up for the market’s demanding job roles.

Q8. Scope of AI engineering

Ans-  AI specialists often enjoy higher-than-average salaries and excellent career growth prospects. Broad Range of Applications: AI has a wide range of applications, making it a versatile career path. Indeed's data showed that searches for generative AI jobs jumped to 147 per million total jobs searched in May from virtually zero a year.

Q9. What are top AI jobs in demand?

Ans- Top Career Paths in the Age of AI

10. What percentage of jobs will be taken by AI?

Ans-  In March, investment bank Goldman Sachs predicted in a report that AI could eventually replace 300 million full-time jobs globally and affect nearly one-fifth of employment — with a particular hit to white-collar jobs often considered automation-proof, such as administrative and legal professions.



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