Logicmojo - Updated Aug 18, 2025
Reviewed by an Industry Expert
This article and its data were reviewed by Rishabh Gupta, a Senior Data Scientist at Uber and an AI instructor at Logicmojo, to ensure all information is accurate and reflects current industry standards.
What is the salary of an AI Engineer
in India (2025)?
Key Insight
An AI Engineer with
1 to 3 years of experience can expect to earn around INR 9.5 Lakhs per year.
This compensation varies significantly based on factors like experience, specific AI skills (e.g., NLP, Computer Vision), location, and the employing company. For those aspiring to enter this field, a strong foundation in programming, machine learning, and mathematics is crucial, a point emphasized by educational platforms.
Logicmojo's AI & Machine Learning course is designed to equip you with these essential skills through practical, real-world projects, comprehensive job assistance, and pathways to secure high-paying roles in leading tech companies.
As businesses across sectors integrate Artificial Intelligence (AI) to innovate and optimize, the demand for skilled AI Engineers has skyrocketed. These professionals are the architects of intelligent systems, designing and building AI models that power everything from recommendation engines to autonomous vehicles. This surge in demand, coupled with the specialized skillset required, has led to highly competitive salary packages.
An AI Engineer with 1 to 3 years of experience can expect to earn around INR 9.5 Lakhs per year. This compensation varies significantly based on factors like experience and specific AI skills (e.g., NLP, Computer Vision). For those aspiring to enter this field, a strong foundation in programming, machine learning, and mathematics is crucial. Logicmojo's AI & Machine Learning course is designed to equip you with these essential skills through practical, real-world projects, comprehensive job assistance, and pathways to secure high-paying roles in leading tech companies.
This article provides a deep dive into AI Engineer salaries in
India, exploring compensation across various factors like
experience, location, company, and industry, giving you a clear
picture of your earning potential in 2025.
Methodology and Data Sources
The salary insights on this page are derived from a comprehensive analysis of over 15,000 data points. Our methodology includes aggregating and cross-referencing salary information from multiple reputable sources to ensure accuracy and relevance for 2025.
-
Primary Data Source: Self-reported, anonymous salary data from platforms like
AmbitionBox,
Glassdoor, and
LinkedIn Salary.
-
Verification: Data is cross-referenced with publicly listed salary bands from recent job postings by major tech companies in India.
-
Last Updated: This data is reviewed and updated periodically to reflect the latest market trends. Last analysis completed: August 2025.
AI Engineer Salary in India
Average Salary of an AI Engineer
₹4.2L
Entry Level (< 1 year)
₹16.2L
Mid-Level (4-9 years)
₹25.8L
Senior (10-20 years)
According to
AmbitionBox, based on 15.1k salary reports, the salary for AI
Engineers in India ranges from
INR 4.2 LPA to INR 35.0 LPA, with an
average annual salary of INR 15.2 Lakhs. This data
reflects the high demand and competitive compensation for
professionals in the Artificial Intelligence domain.
An entry-level AI Engineer with
less than one year of experience can earn around INR 4.2
LPA. As skills develop, a junior AI Engineer with
1 to 3 years of experience can command an average
salary of INR 9.5 LPA. Mid-career professionals
with
4 to 9 years of experience see a significant jump, earning up to
INR 17.1 Lakhs per year. Senior AI Engineers with
10 to 20 years of experience can earn around INR 25.8 lakhs on
average per year, with top talent earning significantly more.
AI Engineer salary per month:
On average,
the monthly salary for an AI Engineer in India can range between
INR 1,15,000 and INR 1,30,000.
This in-hand salary can grow exponentially with specialized skills,
experience, and a proven track record of successful projects.
AI Engineer salary for Freshers
Freshers in the AI field can expect to earn between
INR 4.2 to 9 Lakhs per year. The salary is heavily
influenced by their academic background, project portfolio,
internship experience, and proficiency in key AI technologies like
Python, TensorFlow, PyTorch, and cloud platforms.
Highest Paying Industries for AI Engineers
The demand for AI expertise spans across all sectors, but a few key industries offer particularly lucrative compensation packages due to the high-impact nature of AI in their operations.
1. Technology & IT
- Why? Tech companies are at the forefront of AI innovation. AI engineers here are critical for developing core products, from search algorithms to generative AI models.
- Salary Range: INR 20,00,000 – INR 50,00,000+ per annum
- Top Roles: AI Research Scientist, Deep Learning Engineer, AI Architect
2. Finance
- Why? Financial institutions rely heavily on AI for algorithmic trading, fraud detection, credit scoring, and risk management, creating high-stakes, high-reward roles.
- Salary Range: INR 18,00,000 – INR 45,00,000 per annum
- Top Roles: Quantitative Analyst (AI/ML), AI in Finance Specialist, Fraud Detection Engineer
3. Healthcare
- Why? The healthcare sector is rapidly adopting AI for medical imaging analysis, predictive diagnostics, and drug discovery, creating a high demand for specialized AI talent.
- Salary Range: INR 15,00,000 – INR 40,00,000 per annum
- Top Roles: AI in Healthcare Specialist, Medical Imaging Analyst, Bioinformatics Scientist
4. E-commerce
- Why? E-commerce platforms depend on sophisticated AI for personalized recommendation engines, dynamic pricing, and supply chain logistics to stay competitive.
- Salary Range: INR 14,00,000 – INR 35,00,000 per annum
- Top Roles: Recommendation Systems Engineer, AI/ML Scientist (Retail), Consumer Behavior Analyst
5. Automotive
- Why? The race to develop autonomous vehicles and smart manufacturing (Industry 4.0) has made the automotive sector a major employer for AI engineers specializing in computer vision and robotics.
- Salary Range: INR 15,00,000 – INR 38,00,000 per annum
- Top Roles: Autonomous Driving Engineer, Computer Vision Specialist, Robotics Engineer
AI Engineer Salary Based on
Various Factors
AI Engineer salaries are among the highest in the tech industry, but
compensation is influenced by several key factors. These include the
company's profile, the industry domain, geographical location, and,
most importantly, the engineer's level of experience and expertise.
Let's explore these factors in detail.
1. AI Engineer Salary by Companies in India
Salaries for AI Engineers vary significantly between product-based
tech giants, service-based companies, and startups. Top-tier
multinational corporations generally offer the most lucrative
packages due to their extensive investment in AI research and
development.
Company Name |
Average Annual Salary (INR) |
Google |
35.2 Lakhs |
Microsft
|
34.5 Lakhs |
Amazon
|
32.1 Lakhs |
IBM |
18.2 Lakhs |
Accenture
|
15.4 Lakhs |
TCS
|
12.8 Lakhs |
Infosys |
13.5 Lakhs |
Wipro |
12.1 Lakhs |
Capgemini |
11.8 Lakhs |
Deloitte |
17.9 Lakhs |
Source: Aggregated from anonymous, self-reported data on AmbitionBox & Glassdoor. Salaries at top product companies often include significant stock and bonus components.
AI Engineer Salary by Skill
An AI Engineer's salary is significantly influenced by their proficiency in specific, high-demand technical skills. Expertise in advanced frameworks and specialized domains like NLP or Computer Vision can lead to substantially higher compensation.
Insight: While individual skills are valuable, the highest salaries are often awarded to engineers who combine expertise across multiple domains, such as deploying TensorFlow models on a cloud platform like AWS.
2. AI Engineer Salary by Industry
The industry where an AI Engineer works is a major determinant of
salary. Sectors that are heavily investing in AI, such as
technology, finance, and healthcare, typically offer higher pay.
Industry |
Average Annual Salary (INR) |
Internet & Technology |
18.5 Lakhs |
Financial Services |
17.2 Lakhs |
Healthcare & Pharma |
16.8 Lakhs |
E-commerce & Retail |
16.5 Lakhs |
Automotive |
15.9 Lakhs |
Note: These are industry averages. Salaries can vary significantly based on the size and funding of the company within that industry.
3. AI Engineer Salary Based on a Comparison of Job Roles
Designation |
Average Annual Salary (INR) |
AI Engineer |
15.2 Lakhs |
Machine Learning Engineer |
10.5 lakhs |
Data Scientist |
14.6 Lakhs |
Data Engineer |
10.7 Lakhs |
Data Analyst |
6.3 Lakhs |
Robotics Engineer |
7.5 Lakhs |
NLP Engineer |
12.8 Lakhs |
Computer Vision Engineer |
13.1 Lakhs |
Insight: While AI Engineer salaries are high, specialized roles like NLP and Computer Vision Engineers can command even higher pay in specific tech hubs.
4. AI Engineer Salary based on Designation
Career progression in AI brings substantial salary growth. As an AI
Engineer gains experience and moves into senior, lead, and principal
roles, the compensation increases dramatically to reflect their
advanced expertise and leadership responsibilities.
Designation |
Average Annual Salary (INR) |
AI Engineer |
15.2 Lakhs |
Senior AI Engineer |
24.5 Lakhs |
Lead AI/ML Engineer |
32.8 Lakhs |
Principal AI Engineer |
54.2 lakhs |
AI Architect |
45.5 Lakhs |
Director of AI |
65.0 Lakhs |
Head of AI |
72.1 Lakhs |
Note: Senior roles like Principal Engineer and Director often have a total compensation (including equity) that is substantially higher than the listed average base salary.
5. AI Engineer Salary by City
Major tech hubs in India offer higher salaries for AI Engineers due to the concentration of tech companies and a higher cost of living. Bangalore, known as India's Silicon Valley, leads the pack in compensation for AI talent.
City Name |
Average Annual Salary (INR) |
Bangalore |
16.1 Lakhs |
Hyderabad |
15.5 Lakhs |
Gurgaon/Gurugram |
15.2 Lakhs |
Pune |
14.8 Lakhs |
Mumbai |
14.5 Lakhs |
Chennai |
14.2 Lakhs |
New Delhi |
13.9 Lakhs |
Noida |
13.5 Lakhs |
Kolkata |
12.8 Lakhs |
Insight: These figures are not adjusted for cost of living. While Bangalore offers the highest average salary, other cities may offer better purchasing power.
6. AI Engineer Salary in Bangalore:
Experience Level |
Average Annual Salary (INR) |
Freshers |
5.5 Lakhs |
Junior (1-2 years) |
10.2 Lakhs |
Mid-Level (2-5 years) |
15.8 Lakhs |
Senior Level (5-10 years) |
25.1 Lakhs |
Lead/Manager (10+ years) |
35 Lakhs+ |
Analysis: Bangalore's high salaries are driven by the dense concentration of multinational R&D centers and well-funded technology startups.
7. AI Engineer Salary in Other Countries
The global demand for AI talent is immense, with significant salary
differences across countries. The United States, particularly
Silicon Valley, offers the highest compensation worldwide,
reflecting its position as a global leader in AI innovation.
Country Name |
Average Annual Salary (INR) |
India |
15.2 Lakhs |
USA |
1.2 Crores |
UK |
75 Lakhs |
Australia |
85 Lakhs |
Canada |
78 Lakhs |
Germany |
72 Lakhs |
Japan |
60 Lakhs |
China |
45 Lakhs |
Disclaimer: Figures are approximate INR conversions for comparison and do not account for international tax laws or cost of living differences.
8. AI Engineer Salary by Experience
Experience is the single most significant factor influencing an AI Engineer's salary. As outlined in a typical career roadmap, remuneration grows exponentially as professionals move from entry-level positions to senior roles where they lead the architectural design of complex AI systems.
AI Engineer Salary based on experience:
Entry-level AI Engineer (less than 1 year
experience):
- Average total compensation: INR 6.5 Lakhs
- Based on 1.2k salaries
Early career AI Engineer (1-4 years of experience):
- Average total compensation: INR 12.5 LPA
- Based on 5.8k salaries
Mid-career AI Engineer (5-9 years of experience):
- Average total compensation: INR 22 LPA
- Based on 3.1k salaries
Experienced AI Engineer (10-19 years of
experience):
- Average total compensation: INR 35 LPA
- Based on 850 salaries
Late career AI Engineer (20 years and higher):
- Average total compensation: INR 55 LPA+
- Based on roles like Principal Engineer or Director of AI
Let's take a close look at the tabulated form of an AI Engineer's
salary based on their experience:
Experience |
Average Annual Salary (INR) |
1 Year |
9.1 Lakhs |
2 Years |
10.8 Lakhs |
3 Years |
12.5 Lakhs |
4 Years |
15.2 Lakhs |
5 Years |
18.1 Lakhs |
6 Years |
19.9 Lakhs |
7 Years |
22.4 Lakhs |
8 Years |
24.6 Lakhs |
Note: This table represents a typical salary growth curve. Accelerated growth is common for engineers with high-demand, niche skill sets.
What are the Skills Required to become
an AI Engineer?
A high salary for an AI Engineer is directly correlated with a
strong, diverse skillset. A combination of foundational programming,
advanced machine learning frameworks, and a deep understanding of AI
concepts is essential to command top-tier compensation.
The necessary skills for a high-earning AI Engineer are:
"In my 15 years of hiring and leading AI teams, I've seen many engineers focus only on their technical skills. While crucial, the highest salaries are always commanded by those who can also communicate the business value of their AI models. If you can clearly explain how your work increases revenue or cuts costs, your negotiating power skyrockets."
— Ravi Singh, Principal AI Architect
Role & Responsibilities of AI Engineers
AI Engineers are responsible for the end-to-end lifecycle of
artificial intelligence models. They design, build, and deploy
intelligent systems that can learn and adapt. Their work involves
close collaboration with data scientists, software engineers, and
business stakeholders to translate complex problems into scalable
AI-powered solutions.
Key Responsibilities:
-
Designing, building, and training machine learning and deep
learning models.
-
Developing and implementing AI solutions that align with business
objectives.
-
Performing data pre-processing and feature engineering on large
datasets.
-
Deploying AI models into production environments and maintaining
their performance.
-
Collaborating with cross-functional teams to integrate AI
capabilities into products and services.
-
Staying current with the latest advancements in AI research and
technology.
AI Engineer Salary Based on Job
Role in India
The field of AI encompasses various specialized roles, each with a
distinct focus and salary expectation. Understanding these
differences is key to navigating a career in artificial
intelligence.
1. AI Engineer
AI Engineers are focused on building and deploying
AI
models. They are the practitioners who take theoretical models and
turn them into functional, real-world applications. They need strong
software engineering skills combined with deep knowledge of machine
learning frameworks. Their practical, hands-on role in product
development often commands a high salary.
AI Engineer Responsibilities:
The core responsibility is to translate the work of data scientists
and researchers into scalable, production-ready AI systems. This
includes developing data pipelines, training models, optimizing
performance, and integrating AI features into existing software
architecture. They are problem-solvers who ensure that AI solutions
are robust, efficient, and reliable.
Skills Required:
- R
-
Python
TensorFlow, PyTorch, Keras
- Cloud Platforms (AWS, Azure, GCP)
- Containerization (Docker, Kubernetes)
- Strong software development principles
AI Engineer Average Salary Range in India:
The average total compensation for an AI Engineer rises steadily
with experience. An entry-level engineer can expect around INR
7,50,000, while an early-career professional (1-4 years) earns an
average of INR 9,50,000. Mid-career AI Engineers (5-9 years) see a
significant increase to an average of INR 17,10,000, and experienced
engineers (10-19 years) command an average of INR 25,80,000.
2. Machine Learning Engineer
Machine Learning (ML) Engineers are a specialized subset of AI
engineers who focus specifically on creating algorithms and models
that allow systems to learn from data. They are experts in
statistics and computer science, responsible for designing,
building, and productionizing ML models.
ML Engineer Responsibilities:
An ML Engineer's primary role is to design and implement machine
learning applications. They run experiments with different models
and algorithms, perform statistical analysis, and ensure the data
used for training is clean and well-structured. They are pivotal in
moving a machine learning model from a prototype to a scalable
product.
Skills Required:
- Python, R
- Scikit-learn, XGBoost
- Data Modeling and Evaluation
- Advanced Statistics and Probability
- Data Wrangling and Visualization
Machine Learning Engineer Average Salary Range in India:
In India, a Machine Learning Engineer earns an average salary of INR
10,50,000. An ML Engineer with less than three years of experience
earns an average of INR 7,00,000 per annum. A mid-career ML Engineer
with 4-9 years of experience earns an average of INR 12,80,000,
while an experienced professional with 10-20 years earns an average
of INR 21,50,000 per year.
3. Data Scientist
A Data Scientist focuses more on the analysis and interpretation of
data. They use scientific methods, processes, and algorithms to
extract knowledge and insights from structured and unstructured
data. While they work with ML models, their primary goal is to
answer complex business questions and communicate findings, whereas
an AI Engineer's goal is to build intelligent systems.
Data Scientist Responsibilities:
Data Scientists identify business problems that can be solved with
data. They are responsible for data mining, performing statistical
analysis, and creating predictive models. A crucial part of their
role is storytelling—translating complex quantitative findings into
actionable insights for business leaders and stakeholders.
Skills Required:
- SQL, Python, R
- Statistical Analysis & Hypothesis Testing
- Machine Learning Modeling
- Data Visualization (Tableau, PowerBI)
- Strong Business Acumen & Communication
Data Scientist Average Salary Range in India:
The average salary for a Data Scientist in India is approximately
INR 14,60,000. Those with under 3 years of experience earn around
INR 9,80,000. With 4 to 9 years of experience, the average salary
increases to INR 16,20,000, and senior data scientists with 10 to 20
years of experience earn an average of INR 23,70,000 per year.
Your AI Career Roadmap
Foundational Skills & Core Concepts
Master the essentials of programming, mathematics, and machine learning theory.
Cloud AI Platforms
- AWS SageMaker
- Azure ML
- Google AI Platform
Data & Deployment
- Big Data (Spark)
- Docker
- Kubernetes
3
To build a career as...
AI & ML Architecture
- AI Architect
- Principal AI Engineer
- Solutions Architect (AI/ML)
ML Operations (MLOps)
- MLOps Engineer
- AI Infrastructure Engineer
- Site Reliability Engineer (AI)
AI Specialization
- NLP Engineer
- Computer Vision Engineer
- Reinforcement Learning Eng.
Future Salary Trends for AI Engineers (2025 Onwards)
The career trajectory for AI engineers in India is set for
remarkable growth. As industries from finance to healthcare deepen
their reliance on AI, the demand for skilled professionals is
expected to outpace supply, driving salaries significantly higher
over the next 5-10 years.
Engineers specializing in high-impact fields like MLOps, Generative
AI, and Reinforcement Learning will be in a particularly strong
position to command premium compensation packages.
Projected Salary Growth for AI Engineers
The graph illustrates a projected upward trend for the average
mid-level AI Engineer salary in India.
Following the current trajectory, the average salary for a mid-level
AI Engineer in India is projected to climb from approximately
₹18 Lakhs in 2025 to over
₹35 Lakhs per annum by 2030, with top-tier talent
earning significantly more.
Emerging High-Value Roles
-
AI Architect: Professionals who can design and
oversee the integration of complex, scalable AI systems into
business infrastructure will be highly sought after.
-
MLOps Engineer: As more models move to
production, experts in streamlining the machine learning lifecycle
(MLOps) will be critical for ensuring efficiency and reliability.
-
AI Ethics & Governance Specialist: With growing
regulatory focus, specialists who can ensure AI systems are fair,
transparent, and compliant will become indispensable.
-
Generative AI Specialist: Experts in building,
fine-tuning, and implementing large language models (LLMs) and
diffusion models will be in massive demand to create new AI-driven
products and services.
-
Reinforcement Learning Engineer: A highly
specialized role focused on creating self-learning systems for
dynamic environments like robotics, supply chain optimization, and
autonomous vehicles, commanding top-tier salaries due to its
complexity.
-
AI Product Manager: A crucial role that bridges
the gap between technical AI teams and business objectives. These
professionals guide the vision and strategy for AI-powered
products, ensuring they deliver real-world value.
Ready to Build the Future with AI?
Join Logicmojo's comprehensive AI & Machine Learning course and
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Frequently Asked Questions
What is an AI Engineer's salary?
The salary of an AI Engineer in India is quite competitive and
varies based on experience. According to AmbitionBox, the
salary ranges from ₹4.2 Lakhs to ₹35.0 Lakhs per year. The
average annual salary for an AI Engineer is ₹15.2 Lakhs. These
figures are based on 15.1k latest salary reports. Factors such
as the company, location, industry, and specific skills in
areas like NLP or Computer Vision can significantly influence
the actual compensation.
What is the average salary of a fresher AI Engineer?
For a fresher (less than 1 year of experience), the average
salary for an AI Engineer in India is around ₹4.2 Lakhs per
annum. However, this can range up to ₹9 Lakhs for candidates
with exceptional skills, strong internship experience, and a
portfolio of impressive projects from a top-tier institution.
Proficiency in key technologies like Python, TensorFlow, and
PyTorch is crucial for freshers to secure a higher starting
salary.
Is AI engineering the highest-paying job?
AI Engineering is consistently ranked among the highest-paying
jobs in the technology sector. While executive leadership
roles (like CTO or CIO) or specialized roles in fields like
blockchain might sometimes pay more, AI Engineering offers one
of the highest earning potentials, especially for those with
specialized skills and significant experience. The high demand
and shortage of top-tier talent keep salaries exceptionally
competitive, often surpassing many other software engineering
and data-related roles.
Can AI Engineers earn in crores?
Yes, it is definitely possible for experienced AI Engineers in
India to earn salaries in crores (₹1 crore or more). This
level of compensation is typically reserved for professionals
in senior leadership or principal engineer roles at top
multinational tech companies (like Google, Microsoft, Amazon),
or at well-funded startups. These individuals usually have
over 10-15 years of experience, a proven track record of
leading impactful AI projects, and deep expertise in a niche,
high-demand area of AI.
What is the salary for 5 years of experience as an AI Engineer?
According to an aggregation of salary data from multiple platforms, including
AmbitionBox,
which is based on over 18k salary reports, the salary for AI Engineers in India ranges from
INR 4.5 LPA to INR 40.0 LPA, with an
average annual salary of INR 14.8 Lakhs. This data reflects the high demand and competitive compensation for professionals in the Artificial Intelligence domain.
Why is the AI Engineer salary so high?
AI Engineer salaries are high for several reasons:
-
High Demand, Low Supply: There is a massive
demand for skilled AI professionals, but the supply of
experienced talent is limited.
-
Specialized Skillset: The role requires a
complex blend of advanced programming, mathematics,
statistics, and machine learning expertise.
-
Direct Business Impact: AI solutions can
directly drive revenue, reduce costs, and create significant
competitive advantages for companies, making the engineers
who build them highly valuable.
-
Rapidly Evolving Field: AI is constantly
advancing, requiring continuous learning and adaptation,
which commands a premium salary.
What is the qualification for an AI Engineer?
The typical qualifications for an AI Engineer include:
-
Education: A Bachelor's or Master's degree
in Computer Science, AI, IT, or a related quantitative field
is standard. A Ph.D. is often preferred for
research-intensive roles.
-
Technical Skills: Proficiency in
programming languages like Python, C++, and Java; expertise
in AI/ML frameworks like TensorFlow and PyTorch; and
experience with data processing technologies like Spark.
-
Foundational Knowledge: A strong
understanding of data structures, algorithms, linear
algebra, calculus, and statistics.
-
Practical Experience: A portfolio of
projects, internships, or prior work experience
demonstrating the ability to build and deploy AI models is
highly valued.
Conclusion
The field of Artificial Intelligence is not just a trend; it's a fundamental shift in how technology solves problems. An AI Engineer is at the forefront of this revolution, equipped with the skills to build the intelligent systems of tomorrow. The career path is not only intellectually stimulating but also financially rewarding, with salaries reflecting the immense value these professionals bring to any organization, making it one of the highest paying jobs in India.
>
The field of Artificial Intelligence is not just a trend; it's a fundamental shift in how technology solves problems. An AI Engineer is at the forefront of this revolution, equipped with the skills to build the intelligent systems of tomorrow. The career path is not only intellectually stimulating but also financially rewarding, with salaries reflecting the immense value these professionals bring to any organization, making it one of the highest paying jobs in India.
What are you waiting for? Step into the transformative world of
Artificial Intelligence by building a strong foundation with
Logicmojo.
Good Luck & Happy Innovating!!