Artificial Intelligence is the next big thing in the tech world, and it has always been one of the top trends in the IT sector. With its rising popularity, it has garnered a lot of hype about the tremendous potential it can offer to small and large businesses worldwide.
Artificial intelligence is among the hottest jobs in technology today, with applications across tech innovations like IoT(Internet of Things), robotics, AR/VR, and more. AI has proven to be a great boon for the modern world. Being a professional AI engineer is a lucrative career choice.
The market for AI engineers is extremely competitive, with salaries starting at ₹ 97,76,303 and rising to over ₹ 1,69,50,926. This article will give you in-depth information about the average Artificial Intelligence Engineer Salary In The US.
Key Facts About Artificial Intelligence Engineer Salary In the USA
- A LinkedIn report suggests that AI intelligence specialists are considered one of the top 15 emerging jobs in 2023, with an 81% growth rate
- Glassdoor research suggests that, on average, the Artificial Intelligence Engineer’s Salary In The US is 1,11,52,931 INR per year
- Indeed’s study finds that the average base salary for AI engineers in the United States can go as high as ₹ 1,69,50,926 per year
- The average compensation change for AI engineers over the last three years has been 7,69,586 INR, which is an annual increase of 2.25%
- The Enterprise Project reports the AI market will create 133 million jobs by the end of 2022
- 40% of organisations worldwide are adding more jobs to their recruitment plan due to Artificial Intelligence
These facts and figures are just a glimpse of what the AI-based job market offers for engineers looking to make a career in the United States. Now, let’s discuss some key positions or occupations that can help you get a higher Artificial Intelligence Engineer Salary In The US.
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Key Positions for Artificial Intelligence Engineer’s Salary in the USA
Artificial Intelligence is a technology that has touched every business domain. Every business seeks AI engineers, from financial services to healthcare, marketing, manufacturing, and more. So, some occupations offer the highest Artificial Intelligence engineer salaries in the US.
AI Engineer
AI engineers are responsible for designing and developing new applications that use Artificial Intelligence technologies. The solutions should help businesses achieve higher performance productivity, improve decision-making, cut costs and increase profits.
Some key activities include analysing the AI algorithms, reasoning, and associating issues. Further applying key observations and image data analysis to reconstruct scenarios for algorithms. Develop training modules for algorithms to handle different scenarios.
For an AI engineering job, you will need a bachelor’s degree in computer science, mathematics, Calculus, IT, statistics, finance, etc., from India, Canada, or any other country. You will also need five years of experience in AI, along with knowledge of key programming languages like Java, Python, and others. AI or Artificial Intelligence Engineer Salaries for this position range between ₹ 97,76,303 and ₹ 1,69,50,926.
Machine Learning Engineer
Machine Learning engineer develops and designs different AI algorithms for predictive models to provide a data-driven edge to businesses. Machine Learning(ML) allows companies to leverage massive amounts of data and make data-driven business decisions.
One of the critical responsibilities of a Machine Learning engineer is to develop training modules for algorithms that can enhance their self-learning capabilities. A Machine Learning engineer needs to create programs for algorithms to extract meaningful information, process it, analyse data, and help with reliable recommendations.
You will need a Bachelor’s degree in Business Informatics, Mathematics, data science, or AI engineering for the Machine Learning engineer position. An average Artificial Intelligence Engineer Salary In The US for this position is ₹ 1,33,42,470 per year.
Data Scientists
Data is the new era currency where every business activity depends mainly on storage, exchange, processing, and data analysis. This is where data scientists can help analyse, manage, and communicate critical values derived through visualisations.
The data scientist role will require extensive statistics mathematics knowledge and analytics experience. An advanced or master’s degree in computer science is also preferable for a data scientist position, with at least two years of experience. The average salaries for data scientists go up ₹ 1,03,66,849 per year.
Business Intelligence Developer
Business Intelligence or BI developers help create data-driven reports, design, code, test, and gather results to create valuable information. They also develop technical documents, map databases, and build robust data architecture.
A bachelor’s degree in computer science or a related field combined with a few years of experience is required for the BI developer position. The median salary for BI developers is ₹ 81,43,770 per year.
These are some of the best US positions you can apply for as an AI engineer. However, what location you choose for your job also makes a massive difference in salary growth and career.
Artificial Intelligence Engineer’s Salary in the USA based on Location.
The United States has several metropolitan cities, now technology hubs for innovative startups and companies. This is the reason why there is a high demand for AI engineers in many cities in the US, like:
| Cities | Annual salary in INR Conversion rate: 83.41 INR = 1 dollar |
| Oakland, CA | 1,26,26,306 |
| Norwalk, CT | 1,23,16,049 |
| Wasilla, AK | 1,25,74,361 |
| Tanaina, AK | 1,25,74,527 |
| Vallejo, CA | 1,22,73,677 |
| Hayward, CA | 1,23,61,834 |
| San Jose, CA | 1,27,71,570 |
| Seattle, WA | 1,22,76,674 |
| Jackson, WY | 1,23,48,598 |
| Concord, CA | 1,22,47,704 |
*Note- All the above salaries are approximate figures per existing data and are subject to change. Your salary will vary based on factors like the company you work for, its location, and the type of business it is. The income numbers provided are based on ‘per annum salary’ and are meant to give you a general idea and can vary.
Top hiring companies paying artificial intelligence engineer salary in the USA
Next, an important aspect you need to consider is the company that offers career opportunities. Some of these technology companies are:
| Company | Annual Salary in INR Conversion rate: 83.41 INR = 1 dollar |
| Apple | 1,89,65,391 |
| Amazon | 1,49,83,744 |
| 1,84,66,748 | |
| Intel | 1,13,34,581 |
| 1,02,42,979 | |
| eBay | 3,25,27,214 |
*Note- All the above salaries are approximate figures per existing data and are subject to change. Your salary will vary based on factors like the company you work for, its location, and the type of business it is. The income numbers provided are based on ‘per annum salary’ and are meant to give you a general idea and can vary.
Artificial Intelligence salary in the USA based on years of experience
Artificial Intelligence salary in the USA depends on the years of experience, skills, profile and other factors. Below are the three experience levels in AI.
| Level of experience | Average Annual Salary in INR Conversion rate: 83.41 INR = 1 dollar |
| Entry- level | 95,73,267 |
| Mid-level | 1,22,09,162 |
| Senior-level | 1,70,65,389 |
*Note- All the above salaries are approximate figures per existing data and are subject to change. Your salary will vary based on factors like the company you work for, its location, and the type of business it is. The income numbers provided are based on ‘per annum salary’ and are meant to give you a general idea and can vary.
Benefits & Scope of Working as an Artificial Intelligence Engineer in the USA
Most sectors now require AI-driven technologies and methods to boost efficiency without increasing costs in industry-level analysis. Health care, technology, financial services, national security, gaming, retail, etc., are the top sectors looking for AI engineers.
Along with the AI engineer job profile, all other careers within artificial intelligence are considered future-proof as it will be necessary to have this skill set to survive future global competition, given the transformation of the global economy due to the strong support of technologies such as artificial intelligence.
This indicates that the upward trend in career growth offered to engineers with AI knowledge and experience is increasing daily, regardless of your level of experience or the start of your career. To become better and explore more career opportunities in artificial intelligence and other technologies, continue to learn and apply your knowledge to practical use.
Final Thoughts
AI engineers are in high demand across the US, with higher job openings in several states. However, it’s not just the extensive knowledge you need to achieve a higher annual salary package but also about your chosen company or location to start your career. Based on these factors and the work permit requirements of the US, you need to plan the entire thing. It will help if you plan everything from the resume to the cover letter, work permit, and more.
Here, a reliable partner like LeapScholar can help you with excellent guidance on resumes and cover letters.
Frequently Asked Questions
Q. What skills are needed for machine learning jobs?
A. You should know how to read and understand the mathematics behind algorithms used in machine learning. You should also know how to solve linear algebra problems and convert from one form of data representation into another so your algorithm can work on different data sets efficiently.
Q. What is the scope of Artificial Intelligence in India?
A. The scope of Artificial Intelligence in India will be enormous, with applications in the fields of Insurance, Tourism Industry, Banking Sector, Manufacturing Industry, and Logistics Sector.
These sectors will significantly impact India’s economy due to the reduced cost and time companies take to complete their tasks.
Q. What is the F2 score in machine learning?
A. In the machine learning world, the F2 score is an important metric that can be used to determine the quality of a model. It measures how closely a training set and test set are related.
Q. Is AI engineering in demand in the USA?
A. There’s a high demand for jobs in artificial intelligence, and many get over six figures. However, different elements, including specific work responsibilities, industries, experience, level of education and place, will impact the precise remuneration package. Similarly, the salary of an AI engineer in the United States varies from city to city and state to state.
Q. Does AI have scope in the USA?
A. Due to the region’s severe shortage of qualified graduates, the United States is a central global hub for artificial intelligence. Algorithmic experts, robotics engineers, software developers, researchers in science and technology or computer scientists are increasingly needed. The Information Technology Director and the Machine Learning Technologists are other staff positions.
Q. Is coding a prerequisite for a career in AI?
A. Yes. A career in artificial intelligence must acquire the knowledge of programming fundamentals. Technical competence in this area is essential, and basic coding skills are required for even nontechnical roles in the industry.
Q. Which country is best to pursue an MS in artificial intelligence?
A. The epicentre of rapid innovation and technology growth is the United States, which is a top place for tech enthusiasts. The best universities in the QS rankings are also located here, giving it an exceptional place to pursue a master’s degree in Artificial Intelligence.
Q. What are Top 5 Best Related Artificial Intelligence Engineer Jobs in the USA?
A. The top best-related artificial intelligence engineer jobs in the USA are:
1. Machine Learning Engineer
2. Business Intelligence Developer
3. Research Scientist
4. Software Engineer
5. Software Architect
Q. Is AI better than CSE?
A. Computer Science Engineering (CSE) and Artificial Intelligence and Machine Learning (AIML) are popular engineering degrees. Still, CSE is broader and covers computer science fundamentals, while AIML is more specialized in developing AI & ML applications.
Q. How does experience level affect AI engineer salaries?
A. Artificial Intelligence salary in the USA depends on the years of experience, skills, profile and other factors.
1. Entry-level – 95,73,267
2. Mid-level – 1,22,09,162
3. Senior-level – 1,70,65,389
Q. What skills are important for AI engineers to have in the USA?
A. The skills that are important for AI engineers are-
1. machine learning
2. Deep learning
3. data analysis
4. problem-solving
Q. Are AI engineer salaries in the USA affected by the company’s size?
A. The salary of an AI engineer shall consider many factors, including industry and company size, geographical location, training and experience, professional qualifications, and supplementary benefits and remuneration packages.
