The ability to design, develop, and deploy intelligent solutions on the Microsoft Azure platform makes a Microsoft Azure AI Engineer invaluable. AI solutions are becoming an increasingly important part of many businesses.

Azure AI Engineers play an important role in assisting organizations in automating and optimizing their processes, improving their customer experience, and gaining valuable insights from their data. As a result, Microsoft has always provided the best solutions for a wide range of industries, including artificial intelligence (AI).

Top organizations and businesses benefit from these areas by reducing effort, expenses, and resources. As a result, Microsoft offers several AI certifications to help people learn more about these topics and advance their careers as Azure AI associate engineers.

You can use this to gain AI knowledge and skills to begin your career. However, knowing about the role and receiving certification is one thing; achieving that role is quite another. To help you obtain the position of Azure AI Engineer, in this blog, we are going to shed light on the Azure AI engineer salary and how you can look for a job as a fresher!

So, let’s get started!

Who Is An Azure AI Engineer?

Azure AI Engineers are responsible for designing, building, and deploying AI solutions on the Microsoft Azure platform. They develop intelligent applications that can automate and optimize business processes using various tools and technologies such as machine learning, deep learning, natural language processing, and computer vision.

A Microsoft Azure AI Engineer’s primary responsibilities include the following:

  • Identifying and comprehending the business problems that AI solutions can solve.
  • Creating AI models with Azure Machine Learning Studio and other Azure tools.
  • Collect and process data to feed into AI models.
  • Evaluating and fine-tuning the performance of AI models as needed.
  • Using Azure to deploy AI models as web services.
  • Integrating AI solutions with other Azure applications and services.
  • Ensure AI solution security and compliance.

Azure AI Engineers will be among the most sought-after tech professionals in the coming years, as they will be equipped with the skills and knowledge to assist organizations in utilizing cutting-edge technology in artificial intelligence and machine learning.

As more businesses automate their processes and rely progressively on machine learning processes, AI Engineers will be at the forefront of implementing these changes, designing, training, integrating, and deploying smart models across various tech platforms.

AI Engineers have many options for specialization, given the wide range of AI products available on Azure. They will be expected to architect and execute Azure AI solutions such as natural language processing, speech, computer vision, bots, and agents in general.

What is the Average Azure AI Engineer’s Salary?

Now that we have looked at what an Azure AI engineer does, let’s explore the Azure AI Engineer’s Salary. According to, the average annual salary for an Azure AI engineer in the USA is $166,650, equivalent to approximately $80.12 per hour.

Entry-level positions typically start at $145,000 per year, while the most experienced workers can earn up to $209,000 per year. This salary range reflects the compensation package, including base salary and potential bonuses.


Also, as other sources assert, the average Azure AI Engineer salary in the United States is $145,348 as of November 2023. It is approximately $69.97 per hour, $2,796 per week, or $12,112 monthly. Entry-level salaries begin at $120,855 annually, with most experienced workers earning up to $209,270 annually.

However, in the US, the states of Washington, Maryland, New York, Virginia, and Nebraska pay more Azure AI Engineer salaries than the national average.


Azure AI Engineers in the UK typically earn around 57,500 GBP per year, with the majority of Azure AI Engineer salaries falling between 35,000 GBP and 82,500 GBP per year.

If you earn less than 35,000 GBP, it’s time to talk to your boss about a raise or look for a new Azure AI Engineer job in the UK. The top 25% of Azure AI Engineers earn more than 72,500 GBP per year, and the top 10% earn more than 82,500 GBP, which is a good salary and something to strive for.

Simultaneously, 25% of the lowest-paid Azure AI Engineers earn less than 45,000 GBP annually, and 10% earn less than 35,000 GBP.


The average Azure AI engineer salary in Canada is $111,250 per year or $57.05 per hour. Starting salaries for entry-level positions start at $97,500 annually, with most experienced workers earning up to $125,000 annually.

The nominal Azure AI engineer salary in India is around 8 LPA. Entry-level salaries begin at 5 LPA, with most experienced workers earning up to 12 LPA, showcasing opportunities of AI jobs in India.

Becoming An Azure AI Engineer – Things To Remember

To become a Microsoft Azure AI Engineer, you must have an excellent grasp of ML algorithms programming languages such as Python and R and Azure tools and services. You must have experience designing and developing AI solutions for various business problems.

What else?

  • An educational background in computer science, engineering, mathematics, or a related field is preferred for this position. However, self-study and relevant work experience can be used to become an Azure AI Engineer.
  • You should be familiar with programming languages such as Python, R, and SQL. Must be knowledgeable about data manipulation, analysis, and visualization.
  • Also, learn about Microsoft Azure and its services, including Azure Machine Learning, Cognitive Services, and Bot Framework.
  • Get hands-on experience developing AI solutions with Azure tools and services. Participate in hackathons and coding challenges or contribute to AI-related open-source projects.

Ultimately, developing skills and a thorough understanding of the concepts will be the most important aspects of this journey to get a good Azure AI engineer salary.

Why Become An Azure AI Engineer?

AI Engineer careers in MS Azure include various promising skills for taking on challenging AI-related tasks. In the role of artificial intelligence engineer, IT professionals can practice a variety of new actions and skills, thus meeting the high demands of the current job market.

An AI Engineer’s roles and responsibilities revolve primarily around analyzing requirements for AI solutions. Additionally, AI engineers recommend appropriate tools and technologies for designing solutions.

Furthermore, the AI engineer employs services that meet performance and scalability requirements. These duties assigned to MS Azure AI engineers demonstrate the value of their position.

The world is also becoming more aware of artificial intelligence; according to new Microsoft reports, over 1,000 new customers sign up for MS Azure daily. In addition, Microsoft Azure is being adopted by 365,000 new businesses each year!

MS Azure AI engineers provide software developers, data handlers, data scientists, and loT scientists with imaginative and visionary ideas to help them advance in their careers.

How do you negotiate better Azure AI Engineer salaries?

To negotiate a good Azure AI engineer salary, you must first become a competent Azure AI Engineer. The most important aspect of this journey will be the development of abilities and a thorough understanding of the concepts.

However, there is no need to panic. The first step for beginners and experts is to become Microsoft certified. One of the most important aspects is certification for the job role of Azure AI engineer. You must pass one certification exam that assesses the abilities of Azure AI engineers.

average earning ratio of people havinig micrrosfot azure certifications

You can earn the title of Microsoft Certified Azure AI Engineer Associate by passing the certification exam. The AI-100 certification assessment is “Designing & Deploying an Azure AI Solution.”

The examination is ideal for AI engineers interested in developing AI solutions, as it thoroughly evaluates AI solution requirements and recommends appropriate tools and technologies.

The certification exam assesses candidates’ abilities to architect and implement AI solutions involving natural language processing, bots, computer vision, agents, and speech.

How do I pass?

  • To pass this exam, you must first learn C# or Python.
  • Second, you must be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI applications on Azure.
  • Understanding the components comprising the Azure AI portfolio and the data storage solutions available is critical. Candidates must also understand and be able to apply ethical AI principles.
  • A basic understanding of Microsoft Azure, AI services, and Windows 10 devices is also needed.

The Microsoft Community is a fantastic resource. Aside from the official content on Microsoft Learn, many community-curated study guides help you get started.

The MS Azure certification exam will assess the individual’s abilities related to the AI engineering role on the Azure cloud platform. The certification examination’s prerequisite showcases your skills and proficiency in Azure AI engineering.

Furthermore, the increased rate of adding new features in the AI Azure landscape is an important reason to choose AI engineering jobs on Microsoft Azure.

Wrapping Up

The Azure AI Engineer salary will continue to rise as industries such as technology, finance, and medical research embrace artificial intelligence. Azure AI engineers create, manage, and deploy AI solutions based on Azure Cognitive Services and Applied AI.

Azure AI Engineers will be among the most sought-after tech professionals in the coming years, as they will be equipped with the skills and knowledge to assist organizations in utilizing cutting-edge technology in artificial intelligence and machine learning.

As an Azure AI engineer, you can work on cutting-edge projects and be at the forefront of AI development. Azure AI engineers’ remuneration packages are very competitive, with excellent Azure AI engineer salaries and supplementary perks.

With the right skills, experience, and networking, you can position yourself to earn competitive earnings while also advancing your career as an AI engineer. As a result, passing the appropriate certification examination and acquiring the necessary knowledge and experience can guarantee a successful career.

To get started, look at some AI tutorials, which will offer additional technical information about AI. A basic understanding of Artificial Intelligence course is a wonderful place to start if you’re new to AI. So, gear up and start applying for jobs in AI at AI Careers.

About the Author: Ravi Soni

Hello! I'm Ravi Soni, the mind behind AI Careers, your go-to hub for finding the best AI job opportunities. My journey into the digital world has been driven by a passion for AI and SEO. Over the past ten years, I've focused on leveraging SEO strategies to boost online visibility and engagement, especially in the tech industry. Before diving into AI Careers, I contributed to the growth of several tech firms, helping them connect with their audience through smart and effective SEO and Link Building campaigns. Now, I'm all about connecting skilled professionals with exciting careers in AI, helping to shape the future of technology. When I'm not busy growing AI Careers, I love to share my knowledge by teaching digital skills to up-and-coming tech enthusiasts. Let's connect! Drop me a message on LinkedIn, whether you're looking for a new opportunity in AI or just want to chat about the latest in tech and SEO.