Artificial Intelligence Engineer Salary in India: What to Expect at Each Level

The salary for artificial intelligence engineer in India ranges from roughly ₹6–10 LPA at the fresher level to ₹30–60 LPA or more for senior and lead roles, based on data from AmbitionBox and Glassdoor (2024–2025). Company type, city and specialisation in generative AI and MLOps move the number far more than years of experience alone.

• Freshers (0–2 years) can expect ₹6–10 LPA at product companies; services firms often start lower.
• Mid-level engineers (3–6 years) with deployment skills typically earn ₹15–28 LPA.
• Bengaluru, Hyderabad and NCR consistently offer 20–35% higher pay than Tier-2 cities.
• Generative AI, MLOps and LLM fine-tuning skills command a visible salary premium right now.
• AI engineers generally out-earn general software developers at every experience band.

AI Engineer Salary in India by Experience Level

The salary of an artificial intelligence engineer in India is not a single number. It is a wide band that shifts with how much production-grade work you have shipped, not just how many years you have been employed. That distinction matters when you are benchmarking offers.

According to AmbitionBox data published in 2025, the average AI/ML engineer salary in India sits around ₹12–14 LPA, but that average masks enormous variation. A fresher at a Global Capability Centre (GCC) in Hyderabad can already beat a three-year veteran at a mid-tier IT services firm.

Fresher Level (0–2 Years)

Most AI engineering roles at this level require a strong foundation in Python, statistics and at least one deep-learning framework such as TensorFlow or PyTorch. Starting packages at product startups and GCCs range from ₹6–10 LPA, while large IT services companies typically offer ₹4–7 LPA for the same profile.

Campus placements at IITs and NITs for AI-focused roles have crossed ₹20 LPA at top product firms, but those are outliers. A realistic expectation for most graduates entering the field is ₹7–9 LPA, with performance-linked bonuses on top. If you are building toward your first AI role, exploring 3.0 University’s online certification courses in AI and machine learning is a practical starting point.

Mid-Level (3–6 Years)

This is where specialisation starts to pay off visibly. A machine learning engineer who can own the full pipeline, from data preparation to model deployment in production, earns significantly more than someone who only builds notebooks. Glassdoor India data (2025) puts mid-level AI engineers at ₹15–28 LPA across Bengaluru, Hyderabad and NCR.

In monthly terms, that works out to roughly ₹1.25–2.3 lakh per month for a mid-level AI engineer at a product company or GCC. Engineers who have worked on recommendation systems, NLP pipelines or computer vision products often cross ₹20 LPA by year four. If you are thinking about making this kind of move from a related field, the guide on shifting from data science to AI and ML is worth reading before you update your resume.

Senior and Lead Level (7+ Years)

Senior AI engineers and AI leads at product companies and GCCs typically earn ₹30–60 LPA in total compensation, including stock and bonuses. At FAANG-adjacent companies or well-funded Indian unicorns, that ceiling rises further. The data science engineer salary in India at this level at a company like Flipkart, Swiggy or PhonePe regularly exceeds ₹50 LPA when you factor in ESOPs.

Principal and staff-level roles, which are still relatively rare in India, can cross ₹80 LPA at global product companies with Indian engineering hubs.

AI Engineer Salary in India by Experience and Company Type (2024–2025)

Experience Band	Services Companies	Product / Startup	GCC (MNC India Hub)
0–2 Years (Fresher)	₹4–7 LPA	₹7–12 LPA	₹8–14 LPA
3–6 Years (Mid-Level)	₹10–16 LPA	₹15–28 LPA	₹18–32 LPA
7–10 Years (Senior)	₹18–28 LPA	₹30–55 LPA	₹32–60 LPA
10+ Years (Lead / Principal)	₹25–38 LPA	₹50–80+ LPA	₹45–80+ LPA

Sources: AmbitionBox, Glassdoor India (2024–2025). Figures are indicative ranges and include base salary. Total compensation including bonuses and equity will be higher at product and GCC employers.

What Raises an AI Offer: Skills, City and Company Type

Years of experience are a proxy. What hiring managers actually price is your ability to ship AI that works in production, not just in a Jupyter notebook. That is why two engineers with the same graduation year can have offers that differ by ₹10 LPA or more.

The Skills That Pay a Premium Right Now

Generative AI skills, specifically fine-tuning large language models, building RAG pipelines and working with APIs from OpenAI, Anthropic or open-source alternatives like LLaMA, are commanding a clear premium in 2024–2025 hiring cycles. LinkedIn’s 2024 India Emerging Jobs Report placed generative AI among the fastest-growing skill requirements in tech job postings across the country.

MLOps is the other high-value area. Engineers who can deploy models using Kubernetes, manage model drift and maintain CI/CD pipelines for ML systems are genuinely scarce. That scarcity shows up in pay. A mid-level MLOps-capable engineer often earns 25–40% more than a peer who only does model development.

Other skills that move offers upward include reinforcement learning, time-series forecasting for fintech and computer vision for manufacturing and healthcare applications. If you want a structured way to build these, 3.0 University’s bootcamp training programs are designed around exactly this kind of industry-relevant skill stack.

City-Level Variation

Bengaluru is India’s highest-paying city for AI roles, driven by the density of product companies, GCCs and well-funded startups. Hyderabad is close behind, particularly for GCC roles from US-headquartered companies. NCR (Noida and Gurugram) is strong for fintech and enterprise AI. Mumbai is growing but lags slightly on AI-specific compensation compared to these three.

Pune, Chennai and Ahmedabad offer lower absolute numbers, typically 15–25% below Bengaluru, but cost-of-living adjustments can make them competitive in real terms. You can explore how these cities fit into the broader picture of AI, blockchain and data science careers in India.

Product vs Services vs GCC: The Company-Type Gap

This is the single biggest salary lever that most freshers underestimate. IT services companies such as TCS, Infosys, Wipro and HCL offer structured pay scales and job security, but AI compensation at these firms is significantly compressed compared to product companies. A five-year engineer at a services firm might earn ₹14 LPA while a peer at a Bengaluru product startup earns ₹26 LPA.

GCCs, the Indian engineering centres of companies like Google, Microsoft, Amazon, Samsung and Goldman Sachs, sit in the middle-to-top range. They pay product-company salaries with more structural stability. Competition for these roles is high and the bar on technical depth is real.

How AI Pay Compares with Adjacent Roles

The question of whether AI engineers earn more than software developers comes up constantly in career conversations. The short answer is yes, and the gap is meaningful at the mid and senior levels.

According to AmbitionBox (2025), the average software developer salary in India sits around ₹7–9 LPA across all experience levels. The average for AI and ML engineers is roughly ₹12–14 LPA. That is a 40–60% premium at the median, and the gap widens further at the senior end.

Data science engineer salary in India is closely comparable to AI engineering pay, since the roles overlap significantly. Pure data science roles that are analytics-focused with less engineering depth often earn slightly less than production-focused AI engineers. Backend software engineers at product companies can close the gap with strong system design skills, but AI specialists with deployment experience consistently out-earn general software developers at every band.

The AI job market and skills outlook for 2025 shows that demand is still outpacing supply for engineers who can combine model knowledge with production engineering. That imbalance is what keeps the premium alive.

A Word on Total Compensation

Base salary is only part of the picture, especially at product companies and GCCs. Performance bonuses, ESOPs and joining bonuses can add 20–50% to the effective annual package. When comparing offers, always ask for the total compensation breakdown, not just the CTC number on the offer letter.

Salary data also shifts faster in AI than in most other tech fields right now. What AmbitionBox showed in early 2024 had already moved by late 2024. Always re-check ranges on Glassdoor, AmbitionBox or Levels.fyi before you enter a negotiation.

If you are building toward your first AI role or your next one, connecting with people who have already made that move is genuinely useful. The 3.0 University REACH learner community brings together students and working professionals navigating exactly these decisions, and the learner success stories give you honest accounts of how real people got there.

Ready to take the next step? Explore 3.0 University’s online certification courses in Artificial Intelligence, Cybersecurity, Ethical Hacking, Blockchain and Web3. Every program is built around hands-on labs and real-world projects so you graduate with skills that show up in your work, not just on your certificate.

Frequently Asked Questions

What is the salary of an artificial intelligence engineer in India?

The salary for an artificial intelligence engineer in India ranges from ₹6–10 LPA at the entry level to ₹30–60 LPA or more at the senior level, according to AmbitionBox and Glassdoor data from 2024–2025. Company type, city and specialisation in areas like generative AI or MLOps influence the final number more than years of experience alone.

How much does an AI engineer earn per month?

The artificial intelligence salary per month in India for a mid-level engineer works out to roughly ₹1.25–2.3 lakh per month (₹15–28 LPA annualised). Freshers typically earn ₹50,000–83,000 per month at product companies, while senior engineers at GCCs or product firms can earn ₹2.5–5 lakh per month in total compensation including bonuses.

Which AI skills pay the most?

Generative AI skills, including LLM fine-tuning and RAG pipeline development, and MLOps, covering model deployment, monitoring and CI/CD for ML systems, command the highest premiums right now. Reinforcement learning, computer vision and NLP with production deployment experience also attract above-average offers. Soft skills like stakeholder communication and technical leadership amplify pay further at senior levels.

Do AI engineers earn more than software developers?

Yes. AmbitionBox (2025) puts the average software developer salary in India at ₹7–9 LPA versus ₹12–14 LPA for AI and ML engineers, a gap of roughly 40–60% at the median. The premium grows wider at mid and senior levels, especially at product companies and GCCs where AI specialists with deployment skills are genuinely scarce.

How does AI salary change with experience?

AI salary in India grows sharply between the fresher and mid-level bands, largely because production experience is rare and valued. Freshers start at ₹6–10 LPA, mid-level engineers earn ₹15–28 LPA, and senior engineers clear ₹30–60 LPA at product companies and GCCs. The biggest jumps come from adding deployment, MLOps or generative AI skills, not from simply accumulating years.

Last updated: June 2025. Reviewed by the 3University editorial team.