Salary guide · Artificial intelligence
AI Jobs Salary in India 2026: Role-wise Guide
How much do AI professionals really earn in India? Here is a clear, role-by-role guide to indicative 2026 salaries for ML engineers, AI engineers, GenAI specialists, data scientists, MLOps and more, from fresher to senior.
How to read this list: All figures are approximate, indicative CTC ranges for India in 2026, based on general market patterns. Actual offers vary widely by company type, city, your skills and experience, and variable pay. Treat this as a career guide, not a guaranteed pay scale.
At a glance: AI jobs salary in India 2026
AI pay in India varies more than in most fields. It depends on the exact role, how technical it is, your projects and the type of company: product firms, global capability centres and funded AI startups usually pay more than IT services. If the terms are new to you, start with AI vs machine learning vs deep learning.
AI jobs salary by experience level (indicative)
| Level | Typical experience | Approx. salary (LPA) |
|---|---|---|
| Fresher / junior (technical AI roles) | 0–1 year | ₹5–12 |
| Engineer / data scientist | 1–3 years | ₹8–18 |
| Senior engineer / scientist | 3–6 years | ₹15–35 |
| Lead / principal / manager | 6+ years | ₹30–60+ |
Bengaluru and Hyderabad usually pay the most for AI talent, followed by Pune, Mumbai, Delhi NCR and Chennai. For a city-by-city view of a related career, see our data analyst salary in India (city-wise). The role-wise table below shows where each AI job sits. You can also browse all SkillCircle career guides.
| # | AI role | Mid / senior (approx. LPA) | Fresher / entry (approx. LPA) |
|---|---|---|---|
| 1 | Machine Learning Engineer | ₹15–35 | ₹6–12 |
| 2 | AI Engineer (LLM Applications) | ₹15–35 | ₹6–12 |
| 3 | Generative AI / Prompt Engineer | ₹12–30 | ₹5–10 |
| 4 | Data Scientist | ₹12–28 | ₹5–10 |
| 5 | MLOps Engineer | ₹14–30 | ₹6–11 |
| 6 | Computer Vision / NLP Engineer | ₹14–32 | ₹6–12 |
| 7 | Data Engineer (AI Data Pipelines) | ₹12–28 | ₹5–10 |
| 8 | AI Research Scientist | ₹25–60 | ₹10–20 |
| 9 | AI Product Manager | ₹20–45 | ₹12–20 |
| 10 | AI Automation Specialist / AI Analyst | ₹6–15 | ₹3.5–6 |
* Mid / senior figures assume roughly 3–8 years of experience. Ranges are rounded, indicative CTC and vary by city, company type (product, GCC, startup, IT services, research lab), skills and variable pay or stock. Top-tier offers can be higher.
There are plenty of openings, but employers are selective: they look for people who have built and shipped real projects. SkillCircle’s Generative AI course and Masters in Data Science focus on hands-on projects and come with Placement Support for 5 years. Prefer a classroom? See our data science course in Bangalore.
About SkillCircle: Founded in 2016, SkillCircle has trained 74,356+ learners across 15+ centres, works with 750+ hiring partners and was named Best Vocational Institute 2026 (Entrepreneur India). Our programmes include live projects and placement support.
1. Machine Learning Engineer
Builds, trains and deploys ML models that run inside real products
Machine learning engineers turn data and models into working features: recommendations, fraud detection, search ranking, demand forecasting and more. The role sits between data science and software engineering, which is why it is one of the best-paid AI jobs in India.
Product companies, fintechs and global capability centres in Bengaluru and Hyderabad usually pay at the top of the range; IT services firms tend to start lower but offer large-scale project experience.
What the role needs
- Python, scikit-learn, PyTorch or TensorFlow
- Feature engineering, model evaluation, SQL
- Software engineering basics: Git, APIs, testing
Salary in India (indicative CTC)
- Freshers (0–1 yr): approx. ₹6–12 LPA
- ML engineers (2–5 yrs): roughly ₹12–25 LPA
- Senior / lead ML engineers: ₹25–35 LPA+
2. AI Engineer (LLM Applications)
Builds chatbots, copilots, RAG search and AI agents on top of large language models
AI engineers build applications using models such as GPT, Gemini, Claude and open-source LLMs. Typical work includes retrieval-augmented generation (RAG), AI agents, evaluation and connecting models to company data and tools. Demand for this role has grown quickly as companies move from AI pilots to production.
If you are deciding how to customise a model, our explainer on RAG vs fine-tuning covers the trade-offs employers ask about in interviews.
What the role needs
- Python, LLM APIs, prompt design, vector databases
- RAG pipelines, agents, evaluation and guardrails
- Backend basics: APIs, cloud deployment, cost control
Salary in India (indicative CTC)
- Freshers / junior AI engineers: approx. ₹6–12 LPA
- AI engineers (2–5 yrs): roughly ₹12–25 LPA
- Senior AI engineers / tech leads: ₹25–35 LPA+
3. Generative AI / Prompt Engineer
Designs prompts, workflows and evaluations for GenAI tools and products
Pure “prompt engineer” titles are less common than the hype suggests. In practice, most companies want GenAI specialists who can design prompts and also build workflows, test outputs and automate tasks with code or low-code tools. Those who combine prompting with Python and domain knowledge earn the most.
What the role needs
- Prompt design and evaluation; LLM tools and APIs
- Python or low-code automation; basic RAG
- Domain knowledge such as marketing, support or finance
Salary in India (indicative CTC)
- Freshers / associates: approx. ₹5–10 LPA
- GenAI specialists (2–5 yrs): roughly ₹10–20 LPA
- Senior GenAI leads: ₹20–30 LPA+
Learn LLMs, RAG and AI agents with live projects in SkillCircle’s Generative AI course, which comes with placement support.
4. Data Scientist
Uses statistics and machine learning to answer business questions
Data scientists build models for forecasting, pricing, risk, churn and personalisation, and explain the results to business teams. It remains one of the most common AI-related jobs in India, with openings across banking, e-commerce, healthcare, telecom and consulting.
Not sure whether to start with data science or GenAI? Compare them in Generative AI vs Data Science.
What the role needs
- Python, SQL, statistics, machine learning
- Experiment design, A/B testing, storytelling with data
- Domain knowledge in BFSI, retail or healthcare
Salary in India (indicative CTC)
- Freshers / junior data scientists: approx. ₹5–10 LPA
- Data scientists (2–5 yrs): roughly ₹10–20 LPA
- Senior / lead data scientists: ₹20–28 LPA+
5. MLOps Engineer
Keeps ML and LLM systems running reliably in production
MLOps engineers build the pipelines that train, deploy, monitor and update models. As more companies run AI in production, people who understand both DevOps and machine learning are in short supply, and pay reflects that.
What the role needs
- Docker, Kubernetes, CI/CD, cloud (AWS, Azure or GCP)
- MLflow or similar tools; model monitoring
- Python and Linux; LLMOps is a growing plus
Salary in India (indicative CTC)
- Junior MLOps / DevOps engineers: approx. ₹6–11 LPA
- MLOps engineers (2–5 yrs): roughly ₹11–22 LPA
- Senior MLOps / platform leads: ₹22–30 LPA+
Did you know?Many AI job posts ask for strong Python, SQL and cloud skills alongside machine learning. Solid engineering basics often decide who gets the offer, not just knowledge of the latest model.
6. Computer Vision / NLP Engineer
Specialists in images, video, speech and language models
Computer vision engineers work on image and video problems such as quality inspection, medical imaging, retail analytics and autonomous systems. NLP engineers work on language: search, speech, translation and document understanding, including Indian-language AI. Deep specialists are well paid, especially in product and research-heavy teams.
What the role needs
- Deep learning with PyTorch; CNNs or transformers
- OpenCV, Hugging Face, model optimisation
- Strong maths; research papers and open-source projects help
Salary in India (indicative CTC)
- Freshers: approx. ₹6–12 LPA
- CV / NLP engineers (2–5 yrs): roughly ₹12–24 LPA
- Senior specialists: ₹24–32 LPA+
7. Data Engineer (AI Data Pipelines)
Builds the data foundations every AI system depends on
No AI model works without clean, reliable data. Data engineers build the pipelines, warehouses and lakehouses that feed analytics and AI. It is a strong route into AI for people from software or analytics backgrounds, and pay has risen with demand.
What the role needs
- SQL, Python, Spark, Airflow
- Cloud data warehouses such as Snowflake, BigQuery or Databricks
- Data modelling and data quality
Salary in India (indicative CTC)
- Freshers: approx. ₹5–10 LPA
- Data engineers (2–5 yrs): roughly ₹10–20 LPA
- Senior data engineers: ₹20–28 LPA+
8. AI Research Scientist
Advances new models and methods; usually needs a master’s or PhD
Research scientists work on new model architectures, training methods and evaluation, often at large tech companies, research labs and well-funded AI startups. This is the smallest and most selective group of AI jobs. Pay at the top can go well beyond these ranges, but most roles expect a strong research record.
What the role needs
- Master’s or PhD in CS, maths or a related field
- Publications, deep learning theory, large-scale training
- Strong coding in Python and PyTorch
Salary in India (indicative CTC)
- Research engineers / junior scientists: approx. ₹10–20 LPA
- Research scientists: roughly ₹25–45 LPA
- Senior scientists at top labs: ₹45–60 LPA+
9. AI Product Manager
Decides what AI features to build and how to measure success
AI product managers connect users, business goals and engineering teams. They decide where AI actually helps, define success metrics, manage risks such as wrong answers, and plan launches. Most move into this role after a few years in product management, engineering or analytics, which is why entry pay is already high.
What the role needs
- Product management basics; user research
- Understanding of LLMs, data and evaluation
- Communication, prioritisation and metrics
Salary in India (indicative CTC)
- Associate PMs moving into AI: approx. ₹12–20 LPA
- AI product managers: roughly ₹20–35 LPA
- Senior / group PMs: ₹35–45 LPA+
10. AI Automation Specialist / AI Analyst
A practical entry route for non-coders and business graduates
Not every AI job needs deep coding. Companies are hiring people who can use AI tools to automate reports, customer support, marketing and operations, and who can measure the results. These roles start lower but are a realistic first step for graduates from commerce, arts or management backgrounds.
If you do not come from a technical background, SkillCircle’s AI course for non-tech professionals is a good starting point.
What the role needs
- ChatGPT, Gemini, Copilot and no-code automation tools
- Excel or Google Sheets, basic SQL and dashboards
- Process thinking and clear documentation
Salary in India (indicative CTC)
- Freshers: approx. ₹3.5–6 LPA
- AI automation specialists (2–4 yrs): roughly ₹6–10 LPA
- Senior specialists / AI ops leads: ₹10–15 LPA+
What pushes your AI salary up
Four things move AI pay the most. First, build and ship: a deployed project with a demo, code and clear results is worth more than a list of certificates. Second, go deep in one area, such as LLM applications, MLOps, computer vision or a business domain like finance or healthcare. Third, strengthen your engineering basics, including Python, SQL, APIs, cloud and testing, because production skills are what employers pay for. Fourth, choose employers carefully: product companies, global capability centres and funded AI startups in Bengaluru, Hyderabad and other metros usually pay more. Compare this with other fast-growing careers in our digital marketing salary guide.
Quick quiz: which AI career fits you?
Answer 3 quick questions and get a suggested role plus where to start.
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Frequently asked questions
What is the salary of an AI engineer fresher in India?
Freshers in technical AI roles such as ML engineer, AI engineer or data scientist typically start at roughly ₹5–12 LPA in 2026. The higher end usually goes to candidates with strong projects, internships or degrees from top institutes.
Which AI job pays the most in India?
AI research scientists and senior ML or AI engineers at product companies and AI labs are usually the best paid, followed by AI product managers and MLOps leads. All figures in this guide are indicative.
Can I get an AI job without coding?
Yes, there are entry routes such as AI automation specialist, AI analyst or AI-focused marketing and operations roles. They start lower than engineering roles, but you can grow by adding data and automation skills over time.
Is prompt engineering a real job in India?
Some companies use the title, but most want GenAI specialists who combine prompting with Python, workflow automation, evaluation or domain knowledge. Prompting alone is rarely enough for a high salary.
How many AI jobs are open in India?
On 1 Nov 2026, Naukri.com showed 55,203 listings for artificial intelligence jobs in India. Live counts change daily and include fresher and experienced roles across many job titles.
Can an AI course guarantee a high-paying job?
No. A practical course with live projects and placement support can help you become interview-ready, but your skills, portfolio and interview performance decide your salary. Treat all figures here as indicative.
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