Salaries of Generative AI in India
What is the salary of Generatieva AI
- The average salary of Generative AI (Gen AI) professionals in India in 2025 ranges between ₹8 LPA to ₹20 LPA based on skills, experience, and company size.
- Entry-level Gen AI engineers earn between ₹5 LPA and ₹12 LPA annually, while mid-level professionals earn ₹12–25 LPA and senior experts can command ₹25–50+ LPA.
- Google offers some of the highest AI salaries in India, averaging ₹72.7 LPA with ranges up to ₹178.5 LPA for senior engineers.
- Deloitte pays ₹30–35 LPA for Gen AI engineers with several years of experience, primarily for project consulting and model fine-tuning roles.
- Infosys Gen AI engineers earn between ₹7 LPA and ₹20 LPA, depending on seniority and client project exposure.
- Gen AI interns typically receive ₹40,000–₹60,000 per month stipends, with some top firms paying more based on technical proficiency.
- Skills such as prompt engineering, LLM fine-tuning, transformer models, and cloud AI deployment increase compensation by 20–40%.
- AI jobs in cities like Bengaluru, Hyderabad, and Mumbai offer the highest pay due to their thriving tech ecosystems.
- Overall, Gen AI roles command higher salaries than general AI roles due to the depth of specialization and product impact.
India’s generative AI landscape in 2025 stands at a crucial inflection point, reshaping how the country’s workforce and industries function. With government support, startup funding, and enterprise-wide adoption, Generative AI is driving one of the fastest career transformations of the decade.
Generative AI, powered by large language models (LLMs), diffusion models, and advanced neural networks, is now integral across sectors like IT, healthcare, education, and finance. Unlike earlier automation waves that focused on repetitive tasks, Generative AI redefines creativity—enabling engineers, analysts, and businesses to co-create with algorithms.
According to NASSCOM’s AI Hiring Report 2025, India has more than 450,000 open AI positions, a significant portion involving generative model deployment, fine-tuning, or prompt design. Gartner predicts that by 2027, four out of five engineers will need to upskill to remain relevant in AI-driven roles, underscoring the rising importance of continuous learning.
- Generative AI Engineer: Designs, fine-tunes, and optimizes LLMs and generative models using transformer-based architectures.
- AI Data Curator: Prepares, cleans, and labels high-quality training datasets critical for model accuracy.
- Prompt Engineer: Specializes in crafting optimized prompts for models like GPT, Claude, and Gemini to generate desired responses.
- AI Product Manager: Bridges the gap between AI research and user experience, managing end-to-end product development.
- AI Ethics Specialist: Ensures compliance with ethical and regulatory frameworks, addressing issues of bias and misinformation.
Industry-Wide Opportunities
Generative AI integration is strongest in specific industries:
- Healthcare: AI-assisted diagnostics, predictive analytics, and medical image generation.
- Finance: Fraud detection, risk modeling, and automated financial reporting.
- Education: Personalized learning systems powered by AI tutors and adaptive content frameworks.
- Entertainment: Media generation, virtual influencers, and AI-generated scripts.
Sectors such as retail, e-commerce, and marketing are also using LLMs for hyper-personalized customer engagement.
Hiring and Skill Trends
Recruiters in 2025 prioritize practical expertise over academic degrees. Projects on GitHub, Kaggle, and AI hackathons carry more weight than university transcripts. AI recruiters report that 7 out of 10 job listings specifically mention “hands-on experience with GenAI models” as a must-have requirement.
Hybrid professionals—those who combine coding ability with product mindset, ethical reasoning, and business understanding—are in high demand. This demand reflects the maturity of India’s AI job market, now moving from experimentation toward production-scale AI integration.
The Future of AI Careers in India
India’s generative AI economy is forecasted to contribute more than $500 billion to the national GDP by 2025, thanks to its expanding talent pool and accelerating innovation. Cities such as Bengaluru, Hyderabad, and Pune serve as AI innovation clusters housing both major tech giants and agile startups.
Moreover, the rise of integrative AI—systems combining generative, predictive, and reasoning capabilities—signals the next evolution of the field. As India transitions into an “AI-first” economy, professionals equipped with generative model expertise, ethical AI practices, and multidisciplinary thinking will lead the next wave of digital transformation.
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Detailed Insights into Gen AI Intern Salaries
Generative AI internships in India are highly compensated due to the specialized skills required and the booming demand in the AI sector. The typical stipend for Gen AI interns falls between ₹40,000 and ₹60,000 per month. However, these numbers can be significantly higher in premium startups and large multinational corporations, with some internships offering up to ₹1.8 lakh per month, depending on the intern’s qualifications and the company’s scale.
Highly skilled interns, especially those with proficiency in Python programming, TensorFlow, PyTorch, and hands-on experience with Generative AI models like GPT variants or diffusion models, can command higher stipends. The ability to work on prompt engineering, fine-tune large language models (LLMs), or contribute to multimodal AI projects further boosts internship pay.
In metropolitan technology hubs like Bengaluru, Hyderabad, and Mumbai, stipends tend to be higher because of cost of living and intense competition for AI talent. Internship roles may also lead to attractive full-time offers, sometimes with starting salaries in the range of ₹8 LPA to ₹12 LPA for successful interns transitioning to full-time Generative AI engineer roles.
Internships in Generative AI typically involve:
- Assisting in training and fine-tuning AI models
- Implementing AI-based content generation systems
- Developing prompt engineering solutions
- Participating in research and development for new AI capabilities
These practical experiences during internships not only enhance skills but also significantly increase market value in this competitive field.
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Entry-Level Salary for AI Engineers
Entry-level AI engineers in India in 2025 typically earn between ₹5 LPA to ₹8 LPA annually, with some skilled freshers able to command up to ₹10–12 LPA depending on their expertise and certifications. Factors influencing these salaries at the entry level include educational background, skills, industry demand, and location.
- Educational Background: Graduates holding degrees in Computer Science, IT, or specialized AI fields (B.Tech, M.Tech) tend to secure higher starting salaries. Advanced degrees like M.Tech or certifications in AI/ML, deep learning, or NLP further enhance salary offers.
- Skillset: Proficiency in Python, TensorFlow, PyTorch, machine learning algorithms, and familiarity with Generative AI frameworks is highly valued and can push salaries towards the upper range. Knowledge of cloud platforms like AWS, Azure, or GCP is an added advantage.
- Industries: Entry-level salaries vary by sector, with e-commerce, fintech, healthcare, and IT/software offering high starting pay, often between ₹6–10 LPA. Product-based companies usually offer more than services or consulting firms.
- Locations: Major tech hubs such as Bangalore, Hyderabad, Pune, and Mumbai provide some of the best entry-level AI salaries due to concentration of AI-driven companies and startups. Salaries can be 20–30% higher in these cities compared to Tier 2 locations.
- Job Roles: Entry-level AI roles can include Junior AI Engineer, Machine Learning Engineer, Data Analyst, and prompt engineer. Freshers focusing on deep learning or NLP roles tend to earn at the higher end of the spectrum.
- Growth Potential: Starting salaries rise quickly with experience, especially once product ownership, model deployment, and AI research skills are developed. Mid-level roles (3-5 years) can earn between ₹12–25 LPA, expanding career and salary growth opportunities.
Across India, the entry-level salary range reflects a strong upward trend driven by the growing adoption of AI technologies and the acute shortage of qualified talent, making this an attractive career path with lucrative starting pay and rapid progression potential.
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AI Salary at Google India
Google India offers one of the most competitive and lucrative salary packages for AI engineers in 2025. The average annual salary for an AI engineer at Google is approximately ₹72.7 lakhs, with salaries ranging broadly from ₹50.7 lakhs to ₹178.5 lakhs depending on experience and job level.
This salary includes three major components:
- Base Salary: Typically ranges from ₹22 lakhs for entry-level engineers (L3) up to ₹57 lakhs or more for senior engineers (L6+).
- Stock Options: Employees receive substantial equity in Google stock, valued anywhere from ₹10 lakhs for junior engineers to ₹37.4 lakhs for senior levels. Stocks form a significant portion of the overall remuneration.
- Performance Bonuses: Bonuses vary by role and performance, averaging ₹4 lakhs for juniors but can reach over ₹15 lakhs for experienced AI engineers.
Salary by Experience and Level
- Entry-level (L3) engineers earn around ₹35 lakhs annually combining base, bonus, and stock.
- Mid-level engineers (L4-L5) earn between ₹47 lakhs and ₹74 lakhs yearly.
- Senior AI engineers (L6 and above) can earn from ₹78 lakhs to ₹167 lakhs annually, with the highest tiers including additional leadership bonuses.
- The top 10% of AI engineers at Google earn over ₹120 lakhs annually, reflecting the premium placed on specialized AI and ML skills.
Location and Gender Pay Gap
- Google AI engineers in Mumbai (Bombay) typically command slightly higher salaries compared to other Indian cities.
- Men at Google tend to earn on average ₹74 lakhs, while female AI engineers earn an average of ₹66 lakhs yearly, indicating a notable but narrowing gender pay gap.
Perks Beyond Salary
- Google offers various benefits including health insurance, learning & development budgets, relocation bonuses, and work-life balance programs.
- AI teams work on cutting-edge AI projects like large language models, computer vision, and AI infrastructure at global scale, which also increases job satisfaction and career growth opportunities.
Generative AI Careers in 2025
Demand is skyrocketing for AI experts in benchmarking LLMs and transformer technologies, driving competitive salaries in Indian tech hubs such as Bengaluru and Hyderabad.
Salary Overview by Experience
Experience | Salary Range (₹ LPA) | Description |
Entry-Level | 5–12 | Freshers with AI/ML skills and prompt engineering knowledge |
Mid-Level | 12–25 | AI engineers specializing in model deployment and fine-tuning |
Senior-Level | 25–50+ | Leads, researchers, AI architects with global AI expertise |
Gen AI Intern Salary
Internships pay ₹40K–₹60K per month, elevated for those with strong coding and AI research skills.
Entry-Level AI Salary
Ranges between ₹5–12 LPA, boosted by certifications and project experience.
Deloitte Generative AI Engineer Salary
Ranges broadly from ₹10–35 LPA based on experience and project seniority.
Infosys Gen AI Salary
Ranges from ₹4.5–20 LPA depending on seniority and deployment involvement.
Factors Influencing Gen AI Salaries
- Skill depth in LLMs and prompt engineering.
- Employer type (startups vs MNCs).
- Location in tech hubs like Bengaluru.
- Certifications and domain expertise.
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Generative AI Engineer Salary in Deloitte
Generative AI engineers at Deloitte India stand among the higher-paid tech professionals in the AI domain, benefiting from the firm’s strong consulting pedigree and involvement in digital transformation projects leveraging advanced AI technologies. Here is a detailed overview for 2025:
- Salary Range: Deloitte generative AI engineer salaries generally span ₹10 lakh to ₹35 lakh per annum, with senior consultants and specialists reaching up to ₹35 lakh or more depending on expertise and project impact.
- Mid-Level Pay: Professionals with 2–5 years of experience commonly earn between ₹15 lakh and ₹25 lakh yearly. These individuals typically contribute to AI model fine-tuning, prompt engineering, and helping clients integrate generative AI solutions into business workflows.
- Senior and Leadership: With over 5 years of experience, senior engineers, managers, or AI leads at Deloitte may command ₹30 lakh to ₹40 lakh annually or higher. These roles often involve architecting enterprise AI systems, managing cross-domain teams, and driving strategic AI adoption for clients.
- Role Diversity: Deloitte AI professionals engage in diverse projects such as AI-driven automation, natural language processing, image generation, and advanced data analytics. Exposure to cloud platforms like AWS and Azure and certifications in LLM tuning and AI ethics add substantial value to compensation packages.
- Benefits & Bonuses: In addition to base salary, Deloitte offers performance bonuses, health benefits, and opportunities for continued learning, which contributes significantly to overall remuneration.
- Location Factor: Salaries at Deloitte are highest in metro tech hubs like Bengaluru and Mumbai, reflecting local market competition and client demand.
Generative AI Engineer roles at Deloitte are thus well-compensated, rewarding technical skills alongside business acumen and client-facing expertise in the rapidly growing generative AI consultancy space. This makes Deloitte an attractive employer for AI engineers aiming to work at the intersection of technology and enterprise transformation.
Generative AI Salary in Infosys
Infosys, one of India’s premier IT services firms, has steadily increased focus on AI and Generative AI capabilities as part of its digital transformation services. Salaries for Generative AI engineers at Infosys vary widely depending on experience, skills, and project exposure:
- Entry-Level Salaries: Fresh graduates or professionals with less than 2 years of experience in AI/ML, including Generative AI, generally earn between ₹4.5 lakh and ₹7 lakh per annum. Candidates with certifications in Generative AI frameworks, prompt engineering, or deep learning can command offers closer to ₹7 lakh.
- Mid-Level Salaries (2-5 years experience): Engineers with 2-5 years of experience working on AI projects, especially those specializing in fine-tuning large language models, building generative pipelines, or integrating AI into business workflows, earn between ₹7 lakh and ₹15-20 lakh per annum. This segment includes roles such as AI solution developers and AI integration specialists.
- Senior-Level Roles (5+ years experience): Senior Generative AI engineers taking leadership positions, managing AI transformation projects, or spearheading AI research initiatives can earn in the range of ₹20 lakh to ₹35 lakh per annum or more at Infosys. Senior experts with key strategic roles often receive performance bonuses and stock options as part of their compensation packages.
- Specialized Skills Impact: Expertise in advanced Generative AI skills such as prompt engineering, LLM fine-tuning, and transformer architectures can boost these salaries by 20-40%. Candidates with certifications in cloud AI deployment (AWS, Azure, GCP) and AI ethics typically stand out and earn higher pay.
- Roles and Responsibilities: Infosys AI engineers focusing on Generative AI typically engage in creating AI-driven content generation systems, automated code generation, chatbots, and AI-powered analytics solutions, significantly influencing business outcomes and accelerating digital transformation.
- Comparison With General AI Roles: Generative AI engineers at Infosys tend to earn higher than general AI/ML engineers due to the specialized nature and growing importance of Generative AI in new product development and automation.
Factors Affecting Generative AI Salaries
Generative AI salaries vary widely due to several key factors that influence compensation levels:
- Experience Level
- Entry-Level (0–2 years): ₹6–12 LPA, fresh graduates with demonstrable skills command higher offers.
- Mid-Level (3–5 years): ₹12–25 LPA, professionals with hands-on experience developing complex AI systems or leading small teams.
- Senior-Level (5+ years): ₹25–50+ LPA, senior roles like AI research lead or project manager, with top MNCs offering ₹1 crore+.
Experience can increase salaries by 40-60% every 3-4 years with strategic job moves.
2. Skills and Specializations
- Expertise in high-demand areas increases salary by 15–40%:
- Prompt engineering (+20–30%)
- Large Language Model (LLM) fine-tuning (+25–40%)
- NLP and transformer models (+20–35%)
- Multimodal AI (text + image) (+15–25%)
- Cloud AI deployment (AWS, Azure) (+10–20%)
- AI ethics and bias prevention (+10–15%)
For example, an AI engineer earning ₹14 LPA can rise to ₹18–20 LPA with LLM fine-tuning skills.
3. Educational Background
- B.Tech/M.Tech in Computer Science or AI preferred by MNCs.
- Master’s degrees in Data Science or Machine Learning may get 15–20% higher starting pay.
- Self-taught candidates with strong portfolios and certifications are competitive in startups.
Advanced degrees and certifications improve salary prospects significantly.
4. Company Type and Size
- Startups often offer lower base salaries but higher growth and equity potential.
- Large corporations provide stable salaries and benefits like health insurance.
- Consulting firms can offer higher pay due to project-based roles and specialized client needs.
Company reputation and financial health often correlate with salary levels.
5. Geographic Location
- Salaries are highest in metro tech hubs like Bengaluru, Mumbai, Delhi-NCR, Hyderabad, Chennai, and Pune.
- Higher cost of living and concentration of AI firms justify these city-based pay premiums.
Location can impact pay by 10–30%, with Bangalore leading in AI salaries.
6. Industry Demand and Role Complexity
- Generative AI roles command higher pay than general AI roles due to advanced specialization.
- The complexity of AI projects, from research to product deployment, influences salary growth.
- Demand for AI professionals outstrips supply, sustaining upward salary trends.
Ongoing market adoption of generative AI tools ensures strong demand and salary growth.
7. Continuous Learning and Certifications
- Keeping skills current with certifications in deep learning frameworks, LLMs, and new AI techniques further boosts earning potential.
- Participation in open-source projects and AI community contributions also accelerate salary growth.
Certification certifications and continuous learning play a crucial role in maintaining high salaries.
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Frequently Asked Questions (FAQs)
Q1: What is the average salary of Generative AI professionals in India in 2025?
The average salary ranges from ₹8 LPA to ₹20 LPA, depending on experience, skills, and company size.
Q2: How much do entry-level Generative AI engineers earn?
Entry-level engineers typically earn between ₹5 LPA and ₹12 LPA annually.
Q3: What is the salary for mid-level and senior Generative AI professionals?
Mid-level professionals earn ₹12–25 LPA, while senior experts can earn ₹25–50+ LPA.
Q4: Which companies pay the highest salaries for Generative AI engineers in India?
Google offers top salaries averaging ₹72.7 LPA, with senior engineers earning up to ₹178.5 LPA. Deloitte and Infosys pay between ₹7 LPA and ₹35 LPA depending on seniority and role.
Q5: What is the typical stipend for Generative AI interns?
Interns usually receive ₹40,000–₹60,000 per month, with some top firms offering higher stipends based on proficiency.
Q6: What skills can boost a Generative AI professional’s salary?
Skills like prompt engineering, LLM fine-tuning, transformer models, and cloud AI deployment can increase compensation by 20–40%.
Q7: Do salaries vary by location?
Yes, metro cities like Bengaluru, Hyderabad, and Mumbai offer the highest pay due to concentrated tech ecosystems and higher living costs.
Q8: Are Generative AI roles paid more than general AI roles?
Generally, Generative AI roles command higher salaries because of deeper specialization and the advanced skill set required.
Q9: How important is education and certification for salary?
A strong educational background (B.Tech/M.Tech) and certifications in AI and machine learning significantly improve salary prospects.
Q10: What is the job outlook for Generative AI professionals in India?
The outlook is very positive due to increasing demand across industries for AI-powered solutions, ensuring strong salary growth and job opportunities.
Q11: What factors influence the salary of Generative AI professionals the most?
Key factors include experience level, technical skills (like prompt engineering and LLM fine-tuning), education, company reputation, job location, and the complexity of projects handled.
Q12: Can self-taught professionals with strong portfolios earn competitive salaries in Generative AI?
Yes, especially in startups and mid-sized companies, self-taught professionals with proven skills and contributions to AI projects can secure attractive pay packages.
Q13: How do salaries for Generative AI roles compare between startups and large companies?
Startups may offer lower base salaries but compensate with equity and rapid growth opportunities, while large companies provide higher base pay with stable benefits.
Q14: What is the salary growth potential in Generative AI over 5 years?
Professionals can see 40-60% salary growth every 3–4 years, especially with upskilling and switching to higher-tier organizations.
Q15: Are there significant salary differences between different AI subdomains?
Yes, Generative AI roles tend to pay more than traditional AI roles like predictive analytics or rule-based systems due to their complexity and demand.
Q16: How important is location for entry-level Generative AI engineers?
Location matters a lot for beginners, with metro cities offering up to 20-30% higher salaries compared to tier 2 or 3 cities.
Q17: Do AI professionals receive additional benefits besides salary?
Often yes, including bonuses, stock options, health insurance, flexible working hours, and professional development budgets.
Q18: What certifications are valuable for boosting Generative AI salaries?
Certifications in deep learning, NLP, cloud platforms (AWS, Azure), and specialized Generative AI courses are highly valued.
Q19: Are there gender pay gaps in the Generative AI field in India?
While strides are being made toward equality, some pay disparities still exist, but skill and experience remain the strongest determinants.
Q20: How does demand for Generative AI professionals impact starting salaries?
High demand and limited skilled supply have pushed starting salaries above traditional AI roles, making Generative AI an attractive career choice for freshers.