Artificial Intelligence Engineer Salary in the USA: A Comprehensive 2025 Overview
Darshan Shah
16 Sep 2024
As of 2025, the demand for artificial intelligence engineers in America, continues to grow, because of the rapid advancements in AI technology and their integration across different industries. AI engineers design, develop and implementing intelligent systems across different departments in the business. All the sectors from healthcare to finance are adopting AI applications, which leads to more demand for AI engineers. Artificial intelligence is a very competitive market and offers very competitive AI engineer salary to professionals. These companies attract top talents by giving them higher earning potential. This will provide insights into artificial intelligence engineer salary and all the factors influencing it.
Role of an AI intelligence engineer
The role of an AI engineer is to develop an intelligence system that mimics human reasoning and decision-making powers. They build machine learning models in AI algorithms to solve problems. Their responsibilities include-
Data processing and analysis
Model development
Algorithm optimisation
Deployment and maintenance
Collaboration with different departments to align business goals
Their expertise helps to fill the gap between theoretical AI concepts and practical applications across different departments. AI professionals are very important in today’s work as everything is going digital.
Scope of AI intelligence in the US
The scope of AI in the US is growing as industries are increasingly adopting AI technologies to enhance their progress, innovation, and decision-making.
Healthcare- AI can help in drug discovery and medicine making. It also helps in easy early disease detection, protective methods, health, monitoring, and high-tech robotic surgery.
Finance- AI is used in the finance sector for very important reasons. It is used for fraud detection, trading, credit risk assessment, and personalised financial advising. AI makes financial processes faster and much more secure.
Manufacturing- AI helps to bring automation, and predictive maintenance in the manufacturing sector. Robotics is used to transform manufacturing by optimising production lines, which reduces downtime and enhances product quality.
transportation and logistics- AI has in route optimisation and makes the supply chain simple. It also helps in shaping the transportation and logistics sector by improving the safety and efficiency of transport.
Retail and e-commerce- through AI companies can introduce customer service, chat, box, and recommendation systems. It also helps in inventory management and gives a personalised shopping experience to customers.
National security- AI plays a very important role in enhancing cyber security and defence systems. It provides real-time, threat detection, and decision-making capabilities.
The average salary of AI engineer in US
As of 2025, the average salary of AI engineer in US depends on several factors, such as location, experience, industry, job positions and much more.
AI engineers are expected to earn around $120,000 - $180,000 yearly.
Salaries are usually high in cities with tech companies, as the demand for AI is high in such cities.
Factors influencing AI engineer salary in the US
There are several factors that affect the AI engineer's salary in the US. We have put down the list of all the factors together:
Experience level- artificial intelligence engineer salary depends on the experience level. With more years of experience, more pay is given. AI engineers get specialised knowledge in complex machines, learning with more years of experience. Senior and lead engineers will definitely earn more than entry-level professionals.
Location- location, plays a very important role in determining the salary. Engineers in tech hubs like New York City, Seattle and San Francisco are given higher salaries because of the high demand. Whereas in the smallest citizen rural areas, the salary may be comparatively lower.
Industry- A few industries such as finance, healthcare and defence, they pay a premium amount as salaries to their AI engineers. These industries have high complexities and important AI applications.
Education and skill set- graduates with advanced degrees in Masters or PhD and feels like computer science, data science or AI have higher earning potential. With more deep learning and specific skill sets, AI engineers can do very well in their career and get high salaries.
Company size and type- larger and well-established tech companies often pay higher salaries to AI intelligence because they include high complexities in machine learning. Start-ups, on the other hand, usually pay lower compared to these big companies.
Artificial intelligence engineer salary in the US on the basis of experience level
One of the biggest factors that can influence the salary of an AI intelligence engineer is experience level. Just like any other profession with more experience level, AI engineers get a higher salary. here is the breakdown of approximate salary on the basis of experience level-
0 to 2 years of experience- $90,000 to $1,20,000 yearly
3 to 5 years of experience- $1,20,000 to $1,60,000 yearly
5 to 10 years of experience- $1,60,000 to $2,00,000 yearly
10+ years of experience- $2,00,00 to $3,00,00 yearly
Artificial intelligence engineer salary in the US on the basis of location
Salary of an AI intelligence engineer can significantly be influenced on the basis of the location. Location with high demand for AI engineers and high cost of living pay a high salary. Here is a general breakdown, location wise:
Sr. No.
Location
Average salary
1
Silicon Valley
$160,000 - $210,000+
2
New York City
$140,000 - $190,000+
3
Seattle
$140,000 - $190,000+
4
Boston
$130,000 - $180,000+
5
Los Angeles
$130,000 - $170,000+
6
Austin
$120,000 - $160,000+
7
Washington DC
$120,000 - $160,000+
8
Chicago
$110,000 - $150,000+
9
Denver
$110,000 - $150,000
10
Miami
$100,000 - $140,000
Artificial intelligence engineer salary in the US on the basis of industry
Salary of an AI engineer is affected by the industry they are operating in. Few industries such as finance, healthcare and defence, they pay a premium amount as salaries to their AI engineers. These industries have high complexities and important AI applications. Here is a general breakdown:
Sr. No.
Industry
Average salary (yearly)
1
tech industry
$140,000 - $200,000+
2
finance industry
$130,000 - $190,000+
3
healthcare industry
$120,000 - $180,000+
4
automotive industry
$120,000 - $170,000+
5
E-commerce and retail
$110,000 - $160,000+
6
defence and government
$110,000 - $150,000+
7
telecommunication industry
$110,000 - $150,000+
8
energy sector
$100,000 - $140,000+
9
media and entertainment industry
$100,000 - $140,000+
10
education
$90,000 - $130,000+
Artificial intelligence engineer salary in the US on the basis of education and skill set
The salary of an Artificial intelligence engineer in the US is significantly based on educational qualifications and the university they graduated from. Artificial intelligence engineers are in high demand, as the companies are going towards digitalisation and they need a system to operate all the operations of their building. With higher levels of education, graduates get better positions with high potential for income.
Sr. No.
Education
Average salary yearly
1
Bachelor's degree
$85,000 - $110,000
2
Masters degree
$100,000 - $150,000
3
PhD
$120,000 - $200,000
Artificial intelligence enginer salary in the US on the basis of company size
Company size plays an important role in deciding the salary of an Artificial intelligence engineer in the US. Here is the general breakdown-
Sr. No.
Company size
Average salary (yearly)
1
Small companies (1-50 employees)
$85,000 - $130,000
2
Medium-sized companies (50- 500 employees)
$100,000 - $160,000
3
Big multinational companies
(500+ employees)
$120,000 - $200,000
4
Tech giants and AI-focused companies
$150,000 - $250,000
5
AI startups
$100,000 - $150,000
Conclusion
As the role of an artificial intelligence engineer continues to grow, it stands very important across all industries. Understanding the current salary trends in the artificial intelligence engineering profession will lead to making correct career decisions. 2025 trends have shown an increase in the salary of artificial intelligence engineer experts because of the digitalisation approach of companies. Whether you are aiming to make your career path or want to attract top artificial intelligence engineer talent, staying updated with the salary trend is very crucial.
What is the approximate average salary of an artificial intelligence engineer in the United States?
The approximate average salary for an artificial intelligence engineer in the US is $120,000 - $180,000 per annum. This average salary depends on different factors, such as location, level of experience, specific skills and industry.
How does experience level impact the pay of an artificial intelligence engineer in the US?
Experience plays an important role in deciding the salary of an artificial intelligence engineer in the US. The entry-level data scientist, approximately ranges between $90,000 to $1,20,000 yearly. Mid-level engineers can expect a salary between $1,20,000 to $1,60,000 yearly. Engineers with high experience can expect salaries up to $1,60,000 to $2,00,000 and more.
Where in the US will an artificial intelligence engineer get the highest pay?
Cities like New York, San Francisco and Seattle offer the highest pay for artificial intelligence engineers. These cities are tech hubs and the salary can go higher up to 20-30%
Which industries in the US pay the highest for artificial intelligence engineers?
The requirement of an artificial intelligence engineer is important in all industries. Technology, finance, and healthcare are three major industries that provide the highest salary to an artificial intelligence engineer.
How can we at D-Vivid Consultants, help you to make a correct career decision making?
We at D-Vivid Consultant can play a very important role in decision-making for your career. We will help you get into an artificial intelligence engineering University in the US, provide you with career development tools, and insights of the industry, help you build your resume and prepare you for the interviews.
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