Artificial Intelligence Engineer Salary in 2024

Today, the use of Artificial Intelligence (AI) can be seen everywhere. From automating complex tasks to Chatbots, it has revolutionised how we live. This is why companies are paying high Artificial Intelligence Engineer Salary to design and implement AI systems and apps. 

According to Global Market Insights, the market size for AI Engineers is expected to grow at around 35% CAGR from 2024 to 2032. With the current surge in demand for these professionals, it’s no surprise that AI Engineers are one of the highest-paying professions in the IT sector. 

So, if you are also looking to build a promising career in AI, it’s time to start searching the salary prospects. This comprehensive blog will discuss the Artificial Intelligence Engineer Salary in detail. It will also explore the top factors affecting the AI Engineer's Salary. Read ahead to learn more! 

Table of Contents 

1) Who is an AI Engineer?  

2) Factors Affecting AI Engineer Salary 

3) AI Engineer Salary Based on Location  

4) AI Engineer Salary Based on Experience 

5) Salaries of other AI-related jobs 

6) Tips to increase your AI Engineer Salary 

7) Conclusion 

Who is an AI Engineer? 

Before jumping on to the AI Engineer Salary, let’s first understand who they are and what they do. An AI Engineer is a professional who works with Artificial Intelligence and Machine Learning techniques like, Neural Networks and Natural Language Processing (NLP) to develop AI-powered systems and apps. 

Their primary role is to develop computer programs and algorithms that allow machines to mimic human intelligence and perform tasks like learning, problem-solving, and decision-making.  

AI Engineers work across various industries, from healthcare to finance, to create innovative AI solutions that boost efficiency and automation. In simple words, they solve the business problems using AI. 

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Factors affecting Artificial Intelligence Engineer Salary 

There are several factors that impact Artificial Intelligence Engineer Salary across the globe. They are as follows: 

Location 

Geographical location can significantly impact an Artificial Intelligence Engineer’s Salary. Tech hubs and cities with a high cost of living, such as Silicon Valley in the US or London in the UK, tend to offer higher salaries to attract and retain top AI talent. However, remote work options have expanded opportunities beyond geographical constraints. 

Skills and experience 

Skills and experience are key determinants of salary in the AI field. AI Engineers with multiple years of hands-on experience in AI research and development are more likely to command higher salaries. 

Additionally, possessing skills in specialised areas such as NLP, Computer Vision, or Deep Learning can further boost earning potential. Similarly, candidates with advanced degrees, such as master’s degrees and PhD in CS or related fields, tend to have higher incomes than those with only a bachelor's degree. 

Size and type of industry 

The size and industry of the company are the two major factors that determine the AI Engineer’s income. Well-funded firms and industries that heavily rely on AI technologies, like healthcare, Fintech, automotive, and e-commerce, are more likely to offer high salaries to AI Engineers. 

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Artificial Intelligence Engineer Salary - Based on location 

Apart from Skills and education, location also plays a major part in Artificial Intelligence Engineer’s Salary. AI Engineers in Silicon Valley can earn more than professionals in other US cities. Let's have a brief look at various AI Engineer’s Salaries according to locations: 

                                                                                                               Source: Glassdoor

a) United States (US): The average annual salary of an AI Engineer in the US is over $1,60,821. Entry-level positions start from $117,034 and go up to $203,375 for senior-level AI roles. Within the US, the San Fransico Bay Area offers the highest salary package of $139,00 on average. 

b) United Kingdom (UK): Typically, the median salary of an AI Engineer in the UK is around £56,614 annually. Depending on the type of industry and experience level, it can range between £32,461 to £102,496 annually.   

c) India: In India, AI Engineers can expect a salary of up to ₹10,63,641 per year, with the highest-paying cities being Delhi, Mumbai, and Bangalore.   

d) Australia: A person working as an AI Engineer in Australia typically earns around AUD 154,275 over a year. The salary ranges from AUD 56,400 to AUD 170,000, including incentives and other benefits. 

e) Canada: Canada is one of the leading hubs for AI research with ample growth opportunities for tech professionals. The average annual AI Engineer Salary in Canada surpasses 1,01,382 CAD.   

f) UAE: In UAE, the average annual salary of an AI Engineer is AED 344,959. It can range between AED 237,677 to AED 421,195, depending on the industry and experience. 

g) Germany: The annual salary of an AI Engineer in Germany ranges between €63,645 to €112,787, with a median annual salary of €92,434. 

Keep in mind that these figures are merely estimations. As mentioned before, the actual pay scale varies based on the size, shape, type of organisation, and level of education. 

Artificial Intelligence Engineer Salary - Based on experience

Let's have a quick look at the salaries of AI Engineers based on their experience:

a) Entry-level/Junior AI Engineer Salary: AI Engineers with less than one year of experience get paid around £54,810 to £70,734. Usually, freshers and professionals having experience in other IT fields are considered for junior AI Engineer roles.

b) Mid-level AI Engineer Salary: AI Engineers having three to five years of relevant experience can expect a salary in the range of £70,734 to £94,312. These professionals are well acquainted with Deep Learning, Natural Language Processing, Neural Networks, Data Modelling, and other AI techniques. This explains why their salaries are generally higher compared to those of entry-level AI practitioners. 

c) Senior-level AI Engineer Salary: Professionals having more than five years of relevant experience can expect an average annual salary of £94,312 to £125,750. The finance, healthcare, e-commerce, and automotive sectors are the most sought-after senior AI Engineers. 

Salaries for other AI-related job roles 

Due to the vast Applications of Artificial Intelligence, there are other positions similar to AI Engineers. Some of the popular AI jobs, along with their average annual salaries, are mentioned below: 

                                                                                                                   Source: Glassdoor
 

Tips to Increase your AI Engineer Salary  

With the rise of competition in the job market, it has become important for candidates to have the right strategies to boost their salary. Here are some tips for improving your earning potential and securing lucrative positions in the AI landscape: 

1) Upgrade your skills: Different AI positions require distinct skill sets, especially when it comes to technical and data-related skills. For instance, a Machine Learning (ML) Engineer must be adept at programming languages like Java, Scala, and Python. While a Data Engineer may require familiarity with big data technologies and database systems. If you’re a beginner in this field, try to learn and advance your skillset by joining specialised certification courses available online. 

2) Stay updated with the tech industry: Artificial Intelligence is an ever-changing industry; hence staying up to date with the latest technologies is very important. Keep learning and exploring new technologies that come your way. This will help you to stay abreast and keep pace with other AI professionals. Further, having a deep knowledge of a particular domain/industry can also contribute to a higher salary.   

3) Join a certification course: One of the best ways to increase your salary is by registering for certification courses from reputed training providers. Certifications not only provide you with knowledge and skills but also boost your portfolio and increase your chances of getting shortlisted.     

4) Improve your soft skills: Regardless of the position, soft skills are necessary to grab better salary prospects in the evolving field of AI. Creativity, curiosity, aptitude, and the ability to collaborate with a team come under the soft skills required for AI positions. 

5) Get a relevant master's degree: Getting advanced education is another factor that can boost your AI Engineer Salary. Through a relevant master's degree, you can gain a deeper understanding of AI and ML concepts and theories along with practical tools and techniques. Further, it can help you increase your marketability and chances of getting noticed by potential employers. 

6) Salary negotiation: Not negotiating is a common mistake among most job seekers. It's important to invest time in researching both the job market and the specific company to understand your worth. Compare the salaries in multiple industries and locations using portals like Glassdoor and PayScale.


 

Conclusion 

We hope that after reading the blog you have got the idea of Artificial Intelligence Engineer Salary across various experience levels, and global regions. With sectors like fintech, healthcare, and automotive adopting AI solutions, the demand for AI Engineers and their salaries is poised to grow. 

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