Ai engineer salary in us

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AI Engineer Salary in - US, India, Canada & More

A few decades ago, the term Artificial Intelligence was reserved for scientific circles and tech-enthusiasts who wanted to sound cool. But, ever since its coining in , AI has only grown in popularity. Today, you wouldn’t find a technology magazine that doesn’t mention artificial intelligence in every other paragraph. 

Who is an AI Engineer?

The last decade has made tremendous progress in refining AI and its real-life applications. Most technological advancements of recent times are based on AI to at least some extent. Be it top-level research in genetics or the camera of your smartphone; artificial intelligence is everywhere. Naturally, the individuals equipped with decent AI skills are in high demand all across the globe. 

Colloquially termed as AI engineers, these professionals are usually computer science students who post-graduate in artificial intelligence. However, neither of the above is mandatory. There are many informative guides present on the internet that provide in-depth information on how to become an AI engineer. Besides, you can learn AI and become an AI engineer by doing artificial intelligence courses online too. 

Artificial Intelligence Engineer

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Artificial Intelligence Engineer

What Does an Artificial Intelligence(AI) Engineer Do?

Before getting on the question at hand, we need to know top AI engineer's job roles. Machine Learning (ML) Engineers, Data Scientists, Data Analyst, Computer Vision Engineer, Business Intelligence Developer, and Algorithm Engineers are just some of the many different positions that come under the umbrella of AI engineering. Each of these positions entails a different job-profile, but, generally speaking, most AI engineers deal with designing and creating AI models. Everything from the maintenance to performance supervision of the model is the responsibility of the AI engineer. 

Like we said, most AI engineers come from a computer science background and have strong programming skills, which is a non-negotiable part of an AI engineer’s position. Proficiency in Python and Object-Oriented Programming is highly desirable. But, for an AI engineer, what is even more important than programming languages is the programming aptitude. Since the whole point of an AI system is to work without human supervision, AI algorithms are very different from traditional codes. So, the AI engineer must be able to design algorithms that are adaptable and capable of evolving.   

Other than programming, an AI engineer needs to be conversant in an assortment of disciplines like robotics, physics, and mathematics. Mathematical knowledge is especially crucial as linear algebra and statistics play a vital role in designing AI models.

AI Engineers Salaries Across the Globe

At the moment, AI engineering is one of the most lucrative career paths in the world. The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 8 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs. 

  • Although AI engineering is still an emerging career-path, the early adopters of AI with more than ten years of experience in the field can charge up to 1 crore per annum. These fantastic figures are not limited to India, though. 
  • The average annual AI engineer salary in the US is over $K.
  • The annual AI engineer salary in Canada is over 85, C$ on an average. 
  • Prospects for AI developers are just as bright in Europe with a median AI engineer salary in the UK being over 60, pounds per annum.
  • In contrast, the annual AI engineer salary in Germany is somewhere around €84,
  • As for other major AI markets, the AI engineer salary in Australia can be as high as $, per year.
  • And, the average annual AI engineer salary in Singapore is S$74,

However, you must note that these figures can vary significantly based on several factors like:

  • The type of AI engineering viz. ML, Data Science, etc
  • Experience
  • Skills and qualifications

Companies Hiring for Artificial Intelligence Engineers:

Here is the list of companies/ startups hiring in AI right now are IBM,, JPMorgan, Intel, Oracle, Microsoft, etc.

Best Countries for Artificial Intelligence Jobs

The top 7 countries with the maximum opportunities for Artificial Intelligence (AI) Professionals are:

  • United States (US)
  • Europe
  • India
  • Germany
  • Canada
  • United Kingdom (UK) 
  • China.

As we have already mentioned in the previous section, there are various positions that an AI engineer can take up. An AI engineer’s salary depends on the market demand for his/her job profile. Presently, ML engineers are in greater demand and hence bag a relatively higher package than other AI engineers. Similarly, the greater the experience in artificial intelligence, the higher the salary companies will offer. Now, although you can become an AI engineer without a Master’s degree, it is imperative that you keep updating and growing your skillset to remain competitive in the ever-evolving world of AI engineering.

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What Can the Year Bring for AI Engineers?

Even as you read this article, the demand for AI is booming across the globe. AI engineer salaries will keep rising as industries like tech, financial services, and medical research turn to artificial intelligence. As more global brands like Google and Nvidia dive deeper into Artificial Intelligence (AI), the demand and the salaries for AI engineers will only go upwards in and the decades to follow. Even government agencies in many developed and developing nations will open up AI engineer positions as they realize the enormous impact AI can have on the defense and governance sector. 

Looking at the current pandemic scenario, jobs are better left till the dawn of next year. The time you have right now will be far better utilized in upgrading your AI repertoire. 

Unlike most other fields, AI of tomorrow will look nothing like the AI of today. It is evolving at a breathtaking speed, and ensuring your Artificial Intelligence (AI) skills are relevant to current market needs, you better keep upgrading it. But, do not be overwhelmed, because in Artificial Intelligence (AI) - like in all walks of life - taking the first step matters the most. Completing an AI for beginners course is as good a first step as any. Follow it up with more Advanced Artificial Engineer Master’s Program and preparations for AI interview questions. And, before you know it, you will be standing in the world of AI engineers!


How much does a Lead AI Engineer make in the United States? The average Lead AI Engineer salary in the United States is $, as of September 27, , but the range typically falls between $, and $,. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more online, real-time compensation data than any other website, helps you determine your exact pay target. 

SalarySalary + BonusBenefitsHow To Become

Based on HR-reported data: a national average with a geographic differential

Lead AI Engineer Salaries by Percentile

Percentile Salary LocationLast Updated
10th Percentile Lead AI Engineer Salary$,USSeptember 27,
25th Percentile Lead AI Engineer Salary$,USSeptember 27,
50th Percentile Lead AI Engineer Salary$,USSeptember 27,
75th Percentile Lead AI Engineer Salary$,USSeptember 27,
90th Percentile Lead AI Engineer Salary$,USSeptember 27,

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Job Description for Lead AI Engineer

Lead AI Engineer designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Being a Lead AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Additionally, Lead AI Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. The Lead AI Engineer works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be a Lead AI Engineer typically requires 10+ years of related experience. (Copyright View full job description

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Lead AI Engineer Pay Difference by Location

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City, StateWashington, DCCompared to national average
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Artificial Intelligence Engineer Salary

The average pay for an Artificial Intelligence Engineer is $, a year and $53 an hour in the United States. The average salary range for an Artificial Intelligence Engineer is between $77, and $,. On average, a Bachelor's Degree is the highest level of education for an Artificial Intelligence Engineer. This compensation analysis is based on salary survey data collected directly from employers and anonymous employees in the United States.

ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

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Artificial Intelligence Salaries [By Job, Region, Education &#; More]


In a world where technology seems to become more sophisticated by the minute, the demand for artificial intelligence jobs is growing — and fast. The Enterprisers Project reports that artificial intelligence will create million new jobs by , and a recent survey from Dun & Bradstreet revealed that40 percent of the respondents’ organizations are adding more jobs as a result of using artificial intelligence.

Rob Toews, a venture capitalist at Highland Capital Partners, writes about artificial intelligence forForbes. In a recent article about the current and future state of AI, he said this: “If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.”

In this guide, learn more about the most common jobs within the ever-growing field of artificial intelligence, including salary ranges, top companies looking for the top AI talent and tips for increasing your AI salary. 

AI Salary Overview

The demand for artificial intelligence jobs is extremely high, with many salaries well into six figures. The exact numbers will depend on many factors, including the specific job responsibilities, industry, experience, education level and geographic location.

But here is a typical range: On the lower end,Indeed reports that a research engineer will make approximately $92, per year with a machine learning engineer making around $,

According toDatamation, the average salary for an artificial intelligence programmer is between $, and $, AI engineers, on the other hand, earn an average of $, with the top earners making more than $,

Datamation explains that these high salaries are due to a rare combination of skills and the need for advanced degrees.

Comparison Table

The need for skilled artificial intelligence professionals spans almost all industries, public agencies and nonprofits, with particularly strong demand and opportunity in such fields as:

  • Financial services
  • Health care
  • Technology and home automation
  • Media
  • Marketing
  • Manufacturing
  • National security
  • Government and military
  • IoT-enabled systems
  • Retail

Now let’s break down the most common jobs within artificial intelligence:

Job TitleEducationYears of ExperienceAverage Salary
Research ScientistExpected to have a master’s or doctoral degree in computer science or a related technical field that’s supported by experience.*The ability to demonstrate “extensive knowledge and experience” in the following areas: computer perception, graphical models, reinforcement learning and natural language processing.*  $,
Software EngineerBachelor’s in software engineering, software development, computer programming, computer science, mechanical engineering.Entry-level roles may require only an associate degree and/or experience in a technical bootcamp.+++$,
AI Engineer
  • Bachelor’s degree in computer science, mathematics, information technology, statistics, finance or economics.++
  • Master’s degree in computer science, math, cognitive science, data science, artificial intelligence
5 years of experience (preferably more) in numerous programming languages.+Range of $, to $,
Machine Learning EngineerHiring companies prefer a master’s or doctoral degree in math, computer science, or AI.* 
  • Background in applied research and data science*
  • Entry-level engineers typically have years of experience; mid-level engineers have years of experience and senior positions have 10+ years of experience**
Data ScientistAdvanced degree in computer science is preferred.*
  • At least 2 years of experience in machine learning.*
  • “Highly experienced in statistical computing languages and programming languages.”*
    Also, knowledge and experience related to cloud tools is a plus.*
Business Intelligence (BI) DeveloperA bachelor’s in engineering, computer science or a related field is required. A combination of experience and certifications is desired.*“Considerable experience” in the following: data warehouse design, data mining, SQL queries, SQL Server Integration Services, SQL Server Reporting Services, and BI technologies.*$,
Big Data Engineer/ArchitectPreference is given to those who have completed a Ph.D. in mathematics, computer science or a related field.*
  • The ability “to demonstrate significant programming experience” with the following: C++, Java, Python and Scala.*
  • Also, in-depth knowledge and experience related to data mining, data visualization and data migration.*

*Springboard Blog5 Careers in Artificial Intelligence

**Springboard BlogMachine Learning Engineer Salary Guide

+  freelancermapCareer Insights: What Does an AI Engineer Do?

++Springboard BlogHow to Become an AI Engineer – A Roadmap

+++GlassdoorHow to Get a Job as a Software Engineer

It’s also important to note that certain AI positions may also require you to obtain a TS/SCI clearance.

AI Salary by Region & State

Many AI positions are concentrated in key U.S. cities and states with booming tech centers. According toTechRepublic, the top states and their respective cities for artificial jobs are:

StateTop City/Cities
CaliforniaSan Jose, San Francisco, Los Angeles, San Diego
District of ColumbiaWashington, D.C.
New YorkNew York City
TexasAustin, Dallas

It’s probably no surprise that California tops the list as four major metro areas in the state are listed in its top 15 list.

According toBuilt In San Francisco, some of the biggest names in technology call Silicon Valley home, including:

  • Apple
  • Hewlett Packard
  • Google
  • Oracle
  • Intel
  • Cisco
  • Facebook
  • Broadcom
  • Adobe
  • eBay

TechRepublic also “found that states with the most AI jobs tend to have strong tech, healthcare, or government sectors.”

The Enterprisers Project reinforces that fact, listing New York, San Francisco, Washington, D.C., San Jose and Seattle at the top of the AI job market and adding this disclaimer to the presence of the Empire State: “New York’s top position may surprise you, until you consider that it’s the home of diverse industries, from financial services to publishing — many of which are now adopting AI. Many West Coast-based tech companies (such as Amazon, Facebook, and Google) have a significant presence in the region.”

In a recentLinkedIn search for artificial intelligence positions, the following locations offered the most results:

  • Seattle (4,)
  • San Francisco (3,)
  • Boston (3,)
  • New York City (1,)
  • Chicago, IL (1,)

Now let’s analyze the salary for a specific AI position. As you will see, the salary will vary depending on the location, but it’s also important to remember that each position may require varying levels of experience and education.

The highest paying U.S. cities for a machine learning engineer, according toUdacity are:

  • San Francisco Bay Area – $,
  • Bellevue, WA – $,
  • San Francisco, CA – $,
  • Boston, MA – $,
  • New York, NY – $,

Top Companies Hiring for AI Positions

According toTechRepublic, here are some of the top companies that are recruiting for AI positions:

  • Microsoft
  • Nvidia
  • Google
  • Intel
  • SAP
  • Accenture
  • Nokia

Of course there are many more. A recent search for “artificial intelligence” job openings on LinkedIn revealed more than 49, results at a wide variety of companies, some of which are cited below. (You can see similar LinkedIn search results here.)

  • Amazon
  • Deloitte
  • Lockheed Martin
  • Booz Allen Hamilton
  • Hewlett Packard Enterprise
  • Johnson & Johnson
  • Fidelity Investments
  • Thermo Fisher Scientific
  • PlayStation
  • Tik Tok
  • UPS
  • Uber
  • Wayfair
  • Warner Bros. Entertainment

How to Boost Your AI Salary

Advance your hard skills or learn new ones

Different AI positions will likely require different hard skills, but all will demand a variety of technical and data-driven abilities. For example, a machine learning engineer should have experience with programming languages such as Java, Python and Scala. A data scientist needs to understand big data platforms. If you’re just starting out, it’s beneficial to take courses that cover Bayesian networking, computer science, cognitive science theory, engineering, physics, robotics and varying levels of math, according toSpringboard.

Improve and develop your soft skills

Indeed defines soft skills as “personal habits and traits that shape how you work, on your own and with others.” No matter the job or position, soft skills are essential for success — especially in an evolving industry like artificial intelligence.

“Data computation, mathematics and algorithms are required skills to create artificial intelligence. But AI has a human aspect to it as well,” explainsSpringboard. “It is made to interpret and adapt to human behavior, and give responses that feel similar to human responses.”

That’s where your soft skills come in. For example, critical thinking, creativity, curiosity, the aptitude to work under pressure and the ability to collaborate are all important for varying AI positions.

Do your research

It’s important to know what your position is worth, especially in terms of location, so that you’re as prepared as possible for any salary negotiation. Consult top job websites such asIndeed,Glassdoor,PayScale andLinkedIn for more information.  

Earn certifications

Certification programs will not only provide valuable education but also add to your experience, knowledge and skillset — all of which may translate to an increased salary. For example, TechRepublic’s7 recommended data science certifications include the IBM Data Science Professional Certificate, SAS data scientist certifications, Oracle Business Intelligence Certification and more. A Data Analytics and Visualization Certificate is also a good option. 

Advance your education with a master’s degree

One of the best ways to boost your AI salary is through advanced education. A master’s degree will help you achieve a deeper understanding of AI concepts, topics and theories. It’s also a valuable way to gain first-hand experience and meet other professionals in the industry. All of this can translate to helping you gain an important advantage in the job market.

“With most degrees, you can increase your earning power within your profession as you move up from a bachelor’s to a master’s to a doctorate,” according toThe Balance Careers blog.

According toDatamation, “35 percent of AI positions require a Ph.D. and 26 percent require a master’s degree. Why? Because AI is a rapidly growing field and when you study at the Ph.D. level and participate in academic projects, they tend to be cutting edge if not bleeding edge, and that gives the student the experience they need for the work environment.”

Educational Preparation in Artificial Intelligence

High-paying career opportunities in AI and related disciplines continued to expand across a variety of industries. The University of San Diego — a highly regarded industry thought leader and education provider — offers an innovative, online AI master’s degree program, theMaster of Science in Applied Artificial Intelligence, which is designed to prepare graduates for success in this important fast-growing field. This program includes a significant emphasis on real-world applications, ethics, privacy, moral responsibility and social good in designing AI-enabled systems.

Consider Earning Your Master's in Artificial Intelligence?

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Skills Required for Artificial Intelligence Engineer -- A.I. Engineer Salary --

Artificial intelligence (AI) is a rapidly growing field and the talent market is hot. Because of this demand, AI engineer salaries continue to increase. 

According to a LinkedIn report, AI Intelligence Specialist — which is a catchall title for multiple AI-specific roles — was named one of the top 15 emerging jobs for with 74% annual growth. Not only is this an in-demand role, but AI engineers can command a top salary and report high levels of job satisfaction, making it a highly appealing career option. 

If you’re considering entering the field of AI (or upgrading your skills), it’s helpful to know what you can expect when it comes to AI engineer salaries. 

How Much are AI Engineer Salaries? 

While the data varies, one thing is clear: The average annual salary of an AI engineer is well over $, The average national salary in the U.S. is $, based on data from Glassdoor, with a low of $78, and a high of $, reports an even higher annual salary for an AI engineer at $,, with many of the jobs being concentrated in key U.S. cities including the San Francisco Bay Area, Seattle, New York and Washington, D.C. 

Highest Paying Cities in the U.S. for Machine Learning Engineers

  1. San Francisco Bay Area, CA &#; $,
  2. Bellevue, WA &#; $,
  3. San Francisco, CA &#; $,
  4. Boston, MA &#; $,
  5. New York, NY &#; $,
  6. Sunnyvale, CA &#; $,
  7. Cambridge, MA- $,
  8. San Diego, CA &#; $,

Machine learning engineers currently top the average salary range for the AI category, according to


What Do AI Engineers Do? 

AI engineers oversee the building and testing of AI models. They look at everything from dealing with system maintenance to screening for problems, and their role is to act as a decision-maker for the AI models they’re working on.

Most AI engineers come from a background that includes a degree in mathematics with a focus on engineering, robotics, physics or computer science. A basic knowledge of linear algebra and calculus, as well as probability and statistics, is highly beneficial. 

While the ability to do things like write algorithms is a necessity, there are other skills that make AI engineers highly sought after, and can contribute to receiving top AI engineer salaries. Analytical thinking and programming in languages, particularly Python, and object-oriented programming, are an essential part of being an effective AI engineer. 

The programming knowledge required by AI engineers is critical as the algorithms required for machine learning aren’t like traditional programming. The algorithms have to perform without any human intervention, which means the changes that have to be made are for the neural networks, as opposed to regular strings of code. 

It’s these specialized skills, coupled with the constantly evolving landscape of AI that means engineers in the field are continually looking for new opportunities to grow and evolve. This makes this field even more competitive. 

Looking towards the remainder of and beyond, AI engineers will continue to be in demand in multiple industries, including tech, financial services, government, and consulting. AI engineer salaries are often dictated by the company type, with AI-specific roles available with employers ranging from brand name retailers to big banks to NASA.

Building Your Skills for Future Growth

The number of career opportunities for AI engineers are rapidly expanding and AI engineer salaries will continue to climb. The key to landing one of these higher-paying roles comes down to having the right skills and training. 

Looking to expand your own skills, get a leg up in the world of AI, and make yourself even more appealing to potential employers?

The Udacity Nanodegree will help you learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun &#; including search, optimization, planning, pattern recognition, and more.  

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