What Are the Top Job Roles in Artificial Intelligence?

Artificial Intelligence is creating diverse career opportunities across technology, healthcare, finance, manufacturing, and other industries. Explore the top AI job roles, their key responsibilities, required skills, and career prospects.

Aug 26, 2026 Updated: Aug 26, 2026

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What Are the Top Job Roles in Artificial Intelligence

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Artificial Intelligence (AI) has evolved from a research-focused technology into a core capability across modern businesses and industries. Organizations are increasingly using AI and machine learning to analyze data, automate processes, improve decision-making, personalize customer experiences, and develop new products and services. This growth has been supported by the increasing availability of data, advances in cloud computing, and greater access to high-performance computing infrastructure. As businesses generate and collect larger volumes of structured and unstructured data, AI technologies are becoming increasingly important for turning that information into actionable insights and practical business outcomes.

In this blog, we explore the Artificial Intelligence area to learn more about AI and examine the key job roles, responsibilities, skills, and career opportunities in the field.

AI Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
ML Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Data Scientist – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Robotics Engineer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.
Business Intelligence Developer – Responsibilities, Skills, Salary in India, Salary in Top in Cities.

7. Challenges in AI
8. Conclusion
9. FAQ – 10 questionsIns

To understand the career opportunities and job roles within this field, it is important to first understand what Artificial Intelligence is and how it works.

1. what is Artificial Intelligence?

Artificial Intelligence (AI) is a branch of computer science focused on developing systems that can perform tasks that typically require human intelligence, such as learning from data, recognizing patterns, understanding language, making predictions, and supporting decision-making. Modern AI systems use techniques such as machine learning, deep learning, natural language processing, and computer vision to process information and generate useful outputs. Rather than simply replicating human intelligence, AI enables computers to perform specific tasks by identifying patterns in data and applying learned models to new situations.

2. AI in everyday life

Artificial Intelligence is already integrated into many digital services and applications that people use every day. Some common examples include:

Online shopping: AI analyzes browsing and purchasing patterns to provide personalized product recommendations and improve the shopping experience.
Digital personal assistants: using artificial intelligence (AI) provide tailored services. AI assistants can easily answer inquiries and assist users in organising their everyday activities.
Search recommendations: AI helps search engines understand user queries, identify relevant information, and provide more useful search results and recommendations.
Google’s AI-powered forecasts: AI is at work when apps like Google Maps evaluate traffic and construction to provide the fastest route to your location.
Machine translations: AI-based language translation software can assist users to understand foreign languages by providing translations, subtitling, and language recognition.
Cybersecurity: By recognizing trends and tracing the attacks, AI systems can assist in recognizing and combating cyberattacks.
E-mail spam filters: AI helps email platforms identify spam, phishing attempts, and other unwanted messages.
Ride-hailing services: AI can help with driver-rider matching, route optimization, demand forecasting, and estimated arrival times.
Plagiarism detection: AI-assisted tools can analyze text and identify similarities or potentially duplicated content.
Facial recognition: AI-powered computer vision can identify or analyze faces in applications such as authentication and security.
Fraud detection: AI can analyze transaction patterns and identify unusual activity that may indicate potential fraud.

3. Artificial Intelligence in India

India has significant potential for technological advancement through AI technology and has already established itself as a global IT powerhouse. The rapid expansion of the global AI market is further highlighting the growing importance of AI across industries. According to Precedence Research, the global artificial intelligence (AI) market was valued at USD 757.58 billion in 2025 and is projected to reach USD 900.00 billion in 2026. The market is expected to reach approximately USD 4,216.29 billion by 2035, expanding at a CAGR of 18.73% from 2026 to 2035.

This global growth is also creating opportunities for AI adoption in India, where businesses are increasingly exploring technologies such as natural language processing (NLP), machine learning (ML), and deep learning (DL), for applications across customer experience, security, automation, analytics, and other business functions.

4. Top companies hiring AI Professionals

With artificial intelligence reaching a pinnacle of popularity, many companies are looking for people who can understand this much-talked-about technology and are willing to pay top price. The leading artificial intelligence companies in India that are actively hiring are listed below.

Amazon.com: is one of the artificial intelligence firms in India that is employing software and machine learning engineers.
NVIDIA: creates graphics processing units for gaming and professional markets, as well as systems on a chip for mobile computing and automotive applications.
Microsoft: is looking for Artificial Intelligence specialists. Artificial Intelligence is in high demand, prompting businesses to seek people who can provide value. Several firms have recently released AI expert applications.
IBM: International Business Machines Corporation – is a global corporation based in the United States that is hiring data scientists in artificial intelligence in India. IBM is one of the artificial intelligence firms that is currently hiring in India.
Accenture: the firm is currently employing analysts in the field of artificial intelligence and innovation and is one of the artificial intelligence firms hiring in India.

Other companies hiring AI professionals include Facebook, Intel, Samsung, Lenovo, Adobe, MoTekTechnologies, Uber, PCOInnovation, Rakuten Marketing, Wells Fargo, Google, and Apple.

5. Why should you choose Artificial Intelligence?

Artificial Intelligence offers diverse career opportunities, strong earning potential, and valuable skills for professionals across industries.

A colossal quantity of job openings

Artificial Intelligence is creating new career opportunities as businesses increasingly adopt automation, intelligent systems, and data-driven technologies. Many repetitive and time-consuming tasks, such as data entry and routine production activities, can be automated with AI, allowing employees to focus on higher-value responsibilities that require creativity, problem-solving, and human judgment.

Upskilling and reskilling are two terms that are used interchangeably.

According to the World Economic Forum, 50% of all workers will require some upskilling or reskilling in the next five years to prepare for changing or new occupations. Because of the fast speed of technological change, new training methods are needed to prepare personnel for an AI-based future. True upskilling necessitates a citizen-led approach that emphasises the application of new knowledge to cultivate an AI-ready mindset.

Artificial intelligence (AI) is omnipresent.

However, AI plays a significant part in a variety of industries, including banking, healthcare, security, mobile, fraud detection, clothes, and many more. To name a few industries, there is the automobile industry, music recommendations, smart home devices, online customer support, security surveillance, retail, and healthcare.

Boost your CV

Your chances of getting employed may improve if you have AI talents. Obtaining an Artificial Intelligence Certification greatly boosts your chances of receiving an interview call since you will possess all of the necessary skills that a company seeks. Furthermore, there’s a good probability that the other candidates don’t have an AI certification, making you an uncommon find.

High Income

Pursuing a career in Artificial Intelligence will not only pay well but will also provide you with a wealth of opportunities. An AI professional’s average income ranges from $100,000 to $300,000 in the United States and 15 lakhs in India. If you master Artificial Intelligence, you could work as a Machine Learning Engineer, Software Engineer, Hardware Engineer, Research Engineer, Business Intelligence Developer, or Data Scientist.

Unusual career path

Artificial intelligence (AI) was created to reduce human effort in daily monotonous and dull work. It means that while AI will reduce human jobs, it will also create new opportunities for talented individuals.

6. Job Roles in AI

Artificial intelligence is driving emerging technologies like big data, robotics, and the Internet of Things, as well as shaping the future of every sector and every human being. Based on its current growth pace, it will continue to be a technical innovator for the years ahead. As a result, skilled and qualified professionals have numerous options to pursue a successful career.

Let’s take a look at the Top 5 Job Roles in Artificial Intelligence:

a)AI Engineer

What exactly is an AI Engineer?

Artificial intelligence engineers are responsible for designing, programming, and training the complex networks of algorithms that make up AI for them to replicate human brain processes. A combination of software development, programming, data science, and data engineering abilities are required for this position.
An artificial intelligence engineer’s goal is to figure out the best way to use AI to address a particular business problem. Many artificial intelligence engineers have their pilot projects to present potential employers or partners. Some contribute to the development of open-source AI tools through a network of open-source groups.

Responsibilities of an AI Engineer

Creating software
Developing and using artificial intelligence algorithms
Developing infrastructure for data science
Data analysis
Processing of natural language
Processing of images
Establish business goals for AI implementation.
Collaborate with other members of the IT team to see how machine learning techniques may be applied to specific business concerns.
Identify hurdles that could jeopardise an AI-powered project and look for remedies.
Promote data wrangling, data processing, and project documentation best practices.

Skills to become an AI Engineer

Technical skills: linear Algebra, Statistics, and Probability, Agile framework, Programming skills (R, Python), Big data.
Soft Skills: Analytic capabilities, business acumen, communication skills, team management, creative thinking, problem-solving.

AI Engineer Salary in Top Cities

As a massive amount of data generated by enterprises across industries grows at an unprecedented rate every day, AI is one of the most in-demand fields for employment worldwide. Several large organisations in India are leveraging AI, and they are constantly looking for employees and specialists in this industry.

An AI Engineer Salary in India is 10,00,000 INR per year, according to a Glassdoor.com survey! AI Engineer salaries in India range from 11.1 lakh to 16.9 lakh per year, with an average yearly salary of 16.1 lakh, according to AmbitionBox!

According to glassdoor.com, AI Engineer Salary in Bangalore is 11,90,000 INR per year!
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Chennai is 7,00,000 INR on yearly.
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Hyderabad is 10,00,000 INR yearly.
Ambitionbox.com reported that the Artificial Intelligence Engineer Salary in Mumbai per year is 15,40,000 INR.
Ambitionbox.com reported that the Artificial Intelligence Engineer Salary in Pune per year is 13,20,000 INR.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Kochi ranges from 8,10,000 to 11,90,000 INR per annum.
As stated by glassdoor.com, Artificial Intelligence Engineer Salary in Kolkata is 11,00,000 INR yearly.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Noida ranges from 10,70,000 to 13,70,000 INR per annum.
A report by payscale.com states that an average Artificial Intelligence Engineer Salary in Indore as 6,00,000 INR per annum.
As per ambitionbox.com, an Artificial Intelligence Engineer Salary in Jaipur ranges from 3,00,000 to 9,00,000 INR per annum.

Machine Learning Engineer

Machine Learning Engineers combine programming, data, and AI techniques to build intelligent systems that learn from data and make accurate predictions.

Who is an ML Engineer?

Machine learning engineering is a relatively new and fast-expanding discipline that rewards analytical thinkers and technical problem-solvers. It sits at the crossroads of data science and software engineering.

A machine learning (ML) engineer produces artificial intelligence (AI) systems that employ enormous data sets to design and build learning and prediction algorithms. A Bachelor’s Degree in a related discipline, such as Computer Science, is required. A graduate degree will enable you to gain extra knowledge and competence in preparation for managerial and senior positions.

Responsibilities of a Machine Learning Engineer

Machine learning systems, models, and schemes are designed, developed, and researched.
Data science prototypes are being studied, transformed, and converted.
Finding and selecting relevant data sets.
Statistical analysis and the use of the data to improve models.
As needed, train and retrain machine learning systems and models.
Identifying data distribution discrepancies that may have an impact on model performance in real-world scenarios.
Visualizing data to gain a better understanding.
Analyzing and rating the use cases for machine learning algorithms based on their likelihood of success.

Skills to Become an ML Engineer

Machine Learning Algorithms
Problems Solving
Python
SQL
Sturdy foundation in mathematics and statistics
Solid programming skills
Strong intuition about data

ML Engineer Salary in Top Cities

Now is the moment to get into machine learning if you’ve been thinking about it. Machine learning engineers are in great demand and this trend is projected to continue as machine learning becomes more complex and accessible.

According to Glassdoor.com, the average machine learning engineer salary in India is 8,42,482 INR per year. According to Payscale.com, the annual salary for a machine learning engineer in India is 1,022,861 INR.

As of January 2022, India has around 28213 job vacancies for AI and ML Engineers. (Source – Naukri.com)

According to Glassdoor, ML Engineer Salary in Bangalore is 10,00,000 INR per year. And Indeed.com reported an average salary of 11,03,538 INR for an ML Engineer in Bangalore.
According to Glassdoor, ML Engineer Salary in Chennai is 8,00,000 INR per year! And Indeed.com reported an average salary of 14,42,260 INR for an ML Engineer in Chennai.
According to Glassdoor, ML Engineer Salary in Hyderabad is 10,60,000 INR per year! And Indeed.com reported an average salary of 9,44,246 INR for an ML Engineer in Hyderabad.
According to Glassdoor, ML Engineer Salary in Mumbai is 9,00,000 INR per year! And Indeed.com reported an average salary of 11,08,352 INR for an ML Engineer in Mumbai.
According to Glassdoor, ML Engineer Salary in Pune is 7,00,000 INR per year! And Indeed.com reported an average salary of 11,08,352 INR for an ML Engineer in Pune.
According to Glassdoor, ML Engineer Salary in Kochi is 7,00,000 INR per year! And Indeed.com reported an average salary of 10,12,249 INR for an ML Engineer in Kochi.
According to Glassdoor, ML Engineer Salary in Kolkata is 6,00,000 INR per year! And Indeed.com reported an average salary of 4,61,069 INR for an ML Engineer in Kolkata.
According to Glassdoor, ML Engineer Salary in Noida is 7,91,789 INR per year! And Indeed.com reported an average salary of 10,04,850 INR for an ML Engineer in Noida.
According to Glassdoor, ML Engineer Salary in Indore is 6,15,673 INR per year! And Indeed.com reported an average salary of 3,17,679 INR for an ML Engineer in Indore.
According to Glassdoor, ML Engineer Salary in Jaipur is 7,00,000 INR per year! And Indeed.com reported an average salary of 5,03,867 INR for an ML Engineer in Jaipur.

c) Data Scientist

A Data Scientist uses data, statistics, and technology to uncover insights, solve complex problems, and support better business decisions.

Who is a Data Scientist?

A data scientist is responsible for collecting, interpreting, and evaluating large amounts of data. Traditional technical roles such as mathematicians, scientists, statisticians, and computer specialists have developed into data scientists.

To work in data science, you must have at least a bachelor’s degree in a technical discipline such as computer science, mathematics, statistics, or economics. The people who ask inquiries about data are known as data scientists. They must also understand how to formulate those questions utilising analytic, statistical, machine learning, scientific, and other approaches and tools.

Responsibilities of a Data Scientist

Data should be gathered and data sources should be identified.
Create ideas and strategies to handle business difficulties by analysing a significant volume of organised and unstructured data.
Design data strategies in collaboration with team members and leaders.
Combine multiple algorithms and modules to detect trends and patterns.
Present data using a variety of data visualisation approaches and tools.
Investigate new technology and methodologies to develop distinct data strategies.
From data gathering to display, construct data engineering pipelines and end-to-end analytical solutions.
Assisting a team of data scientists, BI developers, and analysts with their projects as needed. Lead discussions and ensure that AI/ML solutions for business processes and results are feasible to deploy.

Skills for a Data Scientist

Technical Skills: Mathematics and statistics, machine learning, programming languages, data visualisation and data analysis, model deployment, database management, big data and software engineering.
Personal Skills: Analytical mindset, creative thinking, conversationalist, curiosity, storytelling, excellent verbal and written, presentation skills, independent work and understanding of business acumen.

Data Scientist Salary in Top Cities

Data is more valuable than you believe in today’s fast-paced society. Although data-centric roles have many characteristics, each has its own set of responsibilities and contributions to organisational growth. Data scientists are in high demand and can be rather costly to hire. According to the U.S. Bureau of Labor Statistics (BLS), employment of Data Scientists is projected to grow by 33.5% from 2024 to 2034, adding approximately 82,500 jobs during this period. This growth reflects increasing demand for professionals who can analyze large datasets and help organizations make data-driven decisions.

According to Glassdoor.com, the average data scientist salary in India is 15,00,000 INR per year as of January 2026. According to Indeed.com, the average salary for a data scientist in India is 12,09,022 INR per year.

Following the Glassdoor report, Data Scientist Salary in Bangalore is 15,00,000 INR per year. And Indeed.com disclosed an average salary of 12,54,196 INR for a Data Scientist in Bangalore. As per Payscale.com, the average annual salary for a data scientist in Bangalore is 1,261,008 INR.
According to Glassdoor report, Data Scientist Salary in Chennai is 10,41,972 INR per year. And Indeed.com disclosed an average salary of 12,82,882 INR for a Data Scientist in Chennai. As per Payscale.com, the average annual salary for a data scientist in Chennai is 1,017,430 INR.
Following the Glassdoor report, Data Scientist Salary in Noida is 9,47,792 INR per year. And Indeed.com disclosed an average salary of 8,69,095 INR for a Data Scientist in Noida. As per Payscale.com, the average annual salary for a data scientist in Noida is 8,07,536 INR.
Per the Glassdoor report, Data Scientist Salary in Hyderabad is 9,58,427 INR per year. And Indeed.com disclosed an average salary of 8,86,313 INR for a Data Scientist in Hyderabad. As per Payscale.com, the average annual salary for a data scientist in Hyderabad is 8,77,564 INR.
By the Glassdoor report, Data Scientist Salary in Mumbai is 10,04,786 INR per year. And Indeed.com disclosed an average salary of 9,86,501 INR for a Data Scientist in Mumbai. As per Payscale.com, the average annual salary for a data scientist in Mumbai is 8,23,692 INR.
Following the Glassdoor report, Data Scientist Salary in Pune is 9,47,792 INR per year. And Indeed.com disclosed an average salary of 5,64,157 INR for a Data Scientist in Pune. As per Payscale.com, the average annual salary for a data scientist in Pune is 7,80,92 INR.
Under the Glassdoor report, Data Scientist Salary in Kolkata is 8,36,013 INR per year. And Indeed.com disclosed an average salary of 9,11,021 INR for a Data Scientist in Kolkata. As per Payscale.com, the average annual salary for a data scientist in Kolkata is 6,90,000 INR.
Per the Glassdoor report, Data Scientist Salary in Indore is 6,05,412 INR per year. And Indeed.com disclosed an average salary of 4,09,113 INR for a Data Scientist in Indore. As per Payscale.com, the average annual salary for a data scientist in Indore is 6,24,000 INR.
Per the Glassdoor report, Data Scientist Salary in Kochi is 6,64,192 INR per year. And Indeed.com disclosed an average salary of 3,84,562 INR for a Data Scientist in Kochi. As per Payscale.com, the average annual salary for a data scientist in Kochi is 4,50,000 INR.
Under the Glassdoor report, Data Scientist Salary in Jaipur is 7,30,568 INR per year. And Indeed.com disclosed an average salary of 4,37,226 INR for a Data Scientist in Jaipur. As per Payscale.com, the average annual salary for a data scientist in Jaipur is 6,06,293 INR.

Robotics Engineer

Who is a robotics engineer?

A robotics engineer is a behind-the-scenes designer who creates robots and robotic systems that can accomplish tasks that people are either unable or unwilling to perform. Engineers who work in robotics serve as a link between mechanics, electronics, computer science, and cognitive psychology. A bachelor’s degree in computer science, engineering, or similar subjects is required to work as a robotics engineer.
The majority of robotics engineers’ time is spent establishing the strategies and methods needed to not only build but also operate robots. Some robotics professionals also design the machines that assemble the robots.

Responsibilities of a Robotics Engineer

Robot construction, configuration, and testing.
Creating software systems to control their robotic systems, such as factory robots.
Creating automated robotic systems that are utilised to boost production and precision in a particular industry.
They’re analysing and evaluating the prototypes and robotic systems they’ve built. Because technology is continuously developing and advancing, this is typically a never-ending process.
Cost estimates and design calculations are reviewed and approved.
They’re providing technical support for the robotic systems they’ve built, and they’re also teaching robots how to walk.
Investigating the design, operation, and performance of robotic mechanism components or systems.

Skills for a Robotics Engineer

Maths and science
Programming languages
Teamwork
Complex to simple
Creativity at its best
Adapt to new technologies
Computer and software skills
Decision making
System thinking
Technology Design

Robotics Engineer Salary in Top Cities

The demand for robotics engineers is increasing every year, thanks to the advent of machine learning (ML) and related technologies. In India, being a Robotics Engineer is regarded as a high-level professional achievement. Robotics is a diverse industry that necessitates a diverse set of people to complete the task. It’s a new field in which private manufacturers, toymakers, the military, and government research organisations are all interested. The future of robotics engineering appears to be beaming.

Payscale had detailed that the average salary for a robotics engineer in India is 4,33,102 INR per year. Whereas Indeed.com disclosed the average robotics engineer salary in India as 2,03,909 INR per year. Ambition box data revealed that the salary obtained by a robotics engineer in India can range from 1.8 to 8.4 lakh per annum, with an annual salary of 3.5 lakh per annum.

Glassdoor.com put out that the average robotics engineer salary in Bangalore is 6,40,279 INR every year. Payscale records suggest that a robotics engineer in Bangalore secures a yearly salary of 4,17,517 INR. Indeed.com had published the average salary for a robotics engineer in Bangalore as 6,69,538 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Chennai is 3,52,824 INR every year (29,402 INR monthly). Payscale records suggest that a robotics engineer in Chennai secures a yearly salary of 3,93,069 INR. Indeed.com had published the average salary for a robotics engineer in Chennai as 3,09,743 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Hyderabad is 5,54,100 INR every year (46,175 INR monthly). Payscale records suggest that a robotics engineer in Hyderabad secures a yearly salary of 3,73,000 INR. Indeed.com had published the average salary for a robotics engineer in Hyderabad as 2,23,071 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Mumbai is 1,93,044 INR every year (16,087 INR monthly). Payscale records suggest that a robotics engineer in Mumbai secures a yearly salary of 40,00,000 INR. Indeed.com had published the average salary for a robotics engineer in Mumbai as 2,57,360 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Pune is 3,49,848 INR every year. Payscale records suggest that a robotics engineer in Pune secures a yearly salary of 2,75,000 INR. Indeed.com had published the average salary for a robotics engineer in Pune as 2,41,258 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Kochi is 6,40,873 INR every year. Indeed.com had published the average salary for a robotics engineer in Kochi as 3,35,049 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Kolkata is 7,65,144 INR every year (63,762 INR monthly). Payscale records suggest that a robotics engineer in Kolkata secures a yearly salary of 10,00,000 INR. Indeed.com had published the average salary for a robotics engineer in Kolkata as 2,16,351 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Noida is 6,77,584 INR every year. Indeed.com had published the average salary for a robotics engineer in Noida as 7,88,398 INR year by year.
Glassdoor.com put out that the average robotics engineer salary in Indore is 7,00,883 INR every year. Indeed.com had published the average salary for a robotics engineer in Indore as 2,65,731 INR year by year.
Indeed.com had published the average robotics engineer salary in Jaipur as 2,81,677 INR year by year.

Business Intelligence Developer

A business intelligence developer is an engineer who creates, delivers, and maintains business intelligence interfaces. Because the primary purpose of this position is to solve problems, BI developers must deal with data on a regular basis and present it in a form that human brains can understand.

Most BI developer jobs necessitate a technical background as well as extensive professional experience in other business domains. This was also an excellent alternative for a career shift, particularly for individuals interested in moving into the IT industry.

The only difference between a BI engineer and a BI developer is that a BI engineer is responsible for not just transforming data into vital information or knowledge that can be utilised to make better business choices, but also for building the entire BI system (along with others).

Responsibilities of a Business Intelligence Developer:

Determine business data reporting and analysis requirements in collaboration with clients and Business Analysts.
Assist in the creation of business reports for internal and external customers to aid in corporate decision-making.
Assist with data warehouse system data administration, modelling, and integration operations.
To fulfil data reporting and analysis goals, use business intelligence tools.
To achieve company objectives, support the establishment of business intelligence standards.
Enhancements and modifications to business intelligence processes should be recommended.

Skills for a Business Intelligence Developer

Data Analysis.
Problem-solving.
Specific industry knowledge.
Communication skills.
Advanced vision and attention to detail.
Business acumen.
Knowledge of budgeting and cost monitoring

Business Intelligence Developer Salary in Top Cities

The demand for business intelligence and data-driven decision-making continues to grow as organizations increasingly rely on analytics to improve business planning and operational efficiency. According to the U.S. Bureau of Labor Statistics (BLS), employment of operations research analysts, a closely related analytical occupation, is projected to grow by 21% from 2024 to 2034, adding approximately 24,100 jobs during this period.

According to Glassdoor, the average business intelligence engineer salary in India is 18,00,000 LPA. According to payscale statistics, the annual compensation for business intelligence developers in India is 731,683 INR.

The Glassdoor statistics showed that an annual business intelligence developer salary in Bangalore is 6,01,395 INR. Payscale detailed the business intelligence developer salary in Bangalore as 6,00,025 per annum. Indeed.com revealed that the salary for a business intelligence developer in Bangalore is 9,38,908 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Chennai is 5,40,320 INR. Payscale detailed the business intelligence developer salary in Chennai as 5,76,112 per annum. Indeed.com revealed that the salary for a business intelligence developer in Chennai is 7,39,244 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Hyderabad is 6,31,480 INR. Payscale detailed the business intelligence developer salary in Hyderabad as 495829 per annum. Indeed.com revealed that the salary for a business intelligence developer in Hyderabad is 8,04,117 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Mumbai is 5,27,728 INR. Payscale detailed the business intelligence developer salary in Mumbai as 517390 per annum. Indeed.com revealed that the salary for a business intelligence developer in Mumbai is 8,92908 LPA.
The Glassdoor statistics showed that an annual business intelligence developer salary in Pune is 6,78,906 INR. Payscale detailed the business intelligence developer salary in Pune as 608913 per annum. Indeed.com revealed that the salary for a business intelligence engineer in Pune is 7,95262 LPA.
The Ambitionbox.com statistics showed that an annual business intelligence developer salary in Kochi is 5,70,000 INR. Payscale detailed the business intelligence developer salary in Kochi as 600000 per annum. Indeed.com revealed that the salary for a business intelligence engineer in Kochi is 5,39,999 LPA.
Indeed.com revealed that the salary for a business intelligence developer in Kolkata is 6,24,883 LPA. Payscale detailed the business intelligence developer salary in Kolkata as 523592 per annum.
Indeed.com revealed that the salary for a business intelligence developer in Noida is 5,08,162 LPA. Payscale detailed the business intelligence developer salary in Noida as 523592 per annum.
The ambitionbox.com statistics showed that an annual business intelligence developer salary in Indore is 5,08,162 INR.
The ambitionbox.com statistics showed that an annual business intelligence developer salary in Jaipur is 4,20,000 INR. Payscale detailed the business intelligence developer salary in Jaipur as 420000 per annum.

AI job roles have been steadily increasing in recent years and will continue to develop at a rapid pace in the future. Data engineer, software engineer, full-stack developer, research scientist, big data engineer, AI specialist, Robotics engineer, computer vision engineer, are just a few of the jobs available in AI. 57 percent of Indian businesses want to hire the right people to match the current market sentiment. The incomes of applicants who successfully migrated into AI professions have increased by 60-70 percent on average.

7. Challenges in Artificial Intelligence

Artificial Intelligence (AI) is one of the most important technologies for transforming industries and solving global challenges. As the year progresses, more AI and Machine Learning algorithms and programmes are being used in manufacturing, healthcare, banking, and security, as well as eCommerce, social media, and mobile application platforms.

While AI possesses advantages, it does have disadvantages. Consider the following examples:

There is a scarcity of information about AI: Many misconceptions about Artificial Intelligence abound, such as that only large corporations such as Google, Facebook, and others possess AI capabilities, or that AI can become smarter than humans, displacing human labour and destroying the world! Because of a lack of understanding of how Artificial Intelligence is used in day-to-day business operations, smaller and mid-sized businesses are finding it difficult to adopt it successfully.
AI calls for greater computing power: Artificial Intelligence necessitates more processing power Artificial Intelligence is becoming increasingly popular, but it necessitates a significant amount of computing power to train the AI.
The demand for AI is strong, but there aren’t enough people to fill in the positions.
AI prejudice: Even AI systems are produced by man, who has a biased nature built into them. As a result, AI outputs can be prejudiced and not impartial, thereby leading to skewed conclusions.
Machines can only be trained to perform specific jobs in specific settings; they cannot think and come up with solutions that can be applied to other similar situations, as men can.
AI implementation is an expensive endeavor: MNCs such as Google, Apple, and Microsoft can easily afford the high cost of AI implementation because they have their budget and wing dedicated to AI setup. This isn’t the situation when it comes to small and medium-sized companies with limited budgets.
Organizing data: Even though a massive amount of data is generated every day, it is all unstructured and ambiguous, necessitating careful attention and analysis to generate significant insights that will aid the company’s growth. For giving the desired output, AI systems only function with structured and qualitative input. The algorithm becomes more sophisticated and operates effectively as the amount of relevant data expands. When the AI system isn’t given enough high-quality data, it fails terribly.
To implement AI technologies, a highly educated and expensive staff is required – including data scientists, robotics engineers, machine learning engineers, AI experts, and engineers, to mention a few. Because of their limited budgets, small and medium-sized firms cannot afford to hire enough workers to meet the project’s requirements.
Ethical Challenges: Ethics and morality are two fundamental AI concerns that have yet to be solved. The technological grooming of AI bots to the point that they can seamlessly replicate human conversations is making it more difficult to tell the difference between a computer and a real customer service person.
Legal Issues: A corporation may face legal issues as a result of an AI application that uses an incorrect algorithm and lacks data control. Another of the most difficult Artificial Intelligence problems that a developer must face in the real world is this one. A faulty algorithm created with erroneous data could have severe effects on a business’s bottom line.

It’s hard to dispute that technological improvements have made our lives better. Despite the hurdles, which may be overcome, AI is soaring to new heights. Because the demand for skilled AI workers is increasing, now is the perfect time to consider a career in AI. You’ll need to upskill yourself with the necessary abilities, preferably from a globally recognised institution, and keep up with the newest DeepTech advances.

9. FAQ:

1. What is artificial intelligence (AI)? Give specific examples.

Artificial intelligence is essentially the process by which a computer may act on data through statistical analysis, allowing it to understand, analyse, and learn from data using specially built algorithms. This is a computer-assisted procedure. Artificially intelligent robots can recall patterns of behaviour and alter their responses to conform to or encourage changes in those behaviours. Facial recognition, auto-correct and text editors, search recommendations, digital assistants (Google, Siri, Alexa), e-payment, social media, chatbots, and smart home helpers are just a few examples.

2. Where does AI come into play?

AI is used in almost every industry, including retail, manufacturing, finance, banking, healthcare, education, travel, sports, government, and cyber security.

3. How important is AI?

Its relevance arises from the fact that it simplifies our lives. These technologies, which are meant to reduce human labour as much as possible, help humans enormously. They are frequently able to work in an automated fashion. As a result, manual intervention is the last thing that may be asked or visible while operating parts associated with this technology.

4. What are the benefits of artificial intelligence?

Human Error is Reduced
Instead of Humans, he takes risks
Available 24 hours a day
Assisting in Repetitive Tasks
Assistive Technology
Decisions made in less time
Applications on a daily
Innovative Concepts

5. Is artificial intelligence (AI) limited?

Only humans are capable of conceiving and building optimal machines due to their cognitive ability and creative, associative intelligence. As a result, machine learning can only improve learning ability and speed.

6. What is AI’s purpose?

Artificial intelligence’s overall research goal is to develop technology that allows computers and machines to work intelligently.

7. Who is the inventor of artificial intelligence (AI)?

In 1956, John McCarthy, often known as the father of artificial intelligence, invented the phrase AI.

8. Is AI’s future promising?

Artificial intelligence is having an impact on the future of practically every industry and individual in the world. Artificial intelligence has fueled the development of technologies like big data, robots, and the Internet of Things, and it will continue to do so in the conceivable future. According to Grand View Research, the global artificial intelligence market was valued at USD 390.9 billion in 2025 and is projected to reach USD 3,497.3 billion by 2033, growing at a CAGR of 30.6%. North America held the largest market share at 35.5% in 2025, driven by rapid enterprise adoption of generative and agentic AI.

With AI adoption growing across industries, gaining practical skills can help learners prepare for emerging opportunities. DataMites Training Institute offers AI training with hands-on projects, expert guidance, and industry-relevant learning to help aspiring professionals build job-ready AI skills.

DataMites Training Institute provides globally accredited Artificial Intelligence courses designed to support industry-relevant learning. Its DataMites AI Training covers machine learning, deep learning, and AI tools through hands-on projects and expert mentorship. With both online and classroom training options, the program caters to beginners and professionals looking to build practical AI skills and advance their careers.

DataMites also has a strong offline training presence with 50+ centers across India, including Pune, Bangalore, Hyderabad, Chennai, Mumbai, Coimbatore, and Ahmedabad. Learners can pursue a DataMites AI Course through classroom training, gaining industry-focused knowledge and certifications such as IABAC and NASSCOM FutureSkills to strengthen their AI skills and professional profile.