Artificial Intelligence Career Path: What You Need to Know June 9, 2025

Artificial Intelligence is one of the disruptive changes in industries such as healthcare, finance, retail, and manufacturing. As technology becomes the driving force behind AI cop solutions in many sectors of the economy, the field of artificial intelligence is one of the most rewarding and secure career choices today.

In this guide, we introduce a career in artificial intelligence, the average salaries, the companies that offer the jobs, and the tips on how to successfully get employed. Here, we also discuss TOMS College’s B.Tech Artificial Intelligence program, which is among the best engineering colleges in Kerala, that produces engineers for real-world AI jobs.

Best Career Option in Artificial Intelligence

 

The Artificial Intelligence scope and salary in generative fields like AI, NLP, and AI ethics are rapidly climbing. This makes the room for a tall salary exceptionally high.

The newbies in the Big Tech company's B. Tech program start their journey with an average of ₹5–10 LPA. However, the highest alumni have a leadership compensation that is more than ₹30 LPA.

 

Role	Entry Salary (₹/Year)	Mid-Career Salary	Peak Salary
Junior AI Engineer	₹5–10 LPA	₹10–20 LPA	₹25–40 LPA
Machine Learning Engineer	₹8–12 LPA	₹15–25 LPA	₹40+ LPA
AI Research Scientist	₹5–8 LPA	₹15–30 LPA	₹50+ LPA
AI Architect / CAIO	—	₹25–30 LPA+	₹50+ LPA
Data Scientist (AI-focused)	₹6–10 LPA	₹12–20 LPA	₹25+ LPA

 

Top Companies Hiring for AI Professionals

 

In sectors across the board, the industrialists turn to AI experts. There are multiple job opportunities for artificial intelligence in India in some of the top tech giants around the globe. TOMS College of Engineering offers extensive placement opportunities, making it one of the best engineering colleges in Kerala.

• Some tech titans like Google, Microsoft, Amazon, Apple, and IBM are working in R&D, LLMs, and cloud AI.
• The top Indian IT service providers that are working on enterprise AI and automation are TCS, Infosys, and Wipro.
• The latest breakthroughs in the start-up world are found in Sarvam AI, Haptik, and AI4Bharat, which are related to vernacular LLMs and voicebots.
• There are various applications of AI technology in FinTech and e-commerce areas (Paytm, Flipkart, Swiggy) in the form of recommendation engines and fraud detection, respectively.
• Diagnostic artificial intelligence is a highly growing area in the Healthcare and Biosciences sector (Practo, SigTuple, Philips, Thermo Fisher).
• Main players in Manufacturing & Automotive are Tata Motors, Bosch, and Siemens focusing on industry 4.0 and autonomous systems
• Some of the above-mentioned universities and research labs, such as IISc, IIT Madras, and TOMS, plus others, are involved in AI labs and tech training.

The fastest growing demand for all roles corresponds to such professions as AI Engineer, Prompt Engineer, NLP Specialist, and Agentic AI Architect. This is a prevailing trend that is powered by the introduction of new so-called "agentic AI" systems.

How to Start a Career in Artificial Intelligence

 

To start a full-fledged career in artificial intelligence, you need a complete understanding of technical knowledge, practical tasks, and an attitude to be a lifelong learner. These steps will help you understand how to start a career in artificial intelligence:

1. Build a Strong Educational Foundation

You can start with courses in Artificial Intelligence or Computer Science to gain fundamental skills in programming, mathematics, and machine learning. Universities like TOMS offer specializations like B.Tech Artificial Intelligence and Data Sciences.

2. Master Essential Tools & Languages

Your major focus should be on programming in Python, creating machine learning models in TensorFlow as well as PyTorch, and working on SQL databases. These are the tools most utilized in the field of Artificial Intelligence (AI) and data analytics, and to share thereby, across the network or the web model automation.

3. Work on Real-World Projects

Gain practical experience and create your portfolio by applying your skills in such projects as chatbots, facial recognition, or predictive models, which are indeed a good choice for them.

4. Pursue Certifications & Internships

You can get specializations in AI/ML through a recognized certification. This can help you gain internships in AI-powered companies or research laboratories for the chance to experience the industry and meet new people.

5. Choose a Specialization Early

It is very important to choose a specialization in the early stage of your career. There are multiple fields like Natural Language Processing, Computer Vision, and Generative AI. You can develop your skills and expertise in any of these niches.

6. Stay Updated with Industry Trends

If you are to grow in the tech industry, it is important to stay updated with the trends and new technologies. You can start small by reading AI journals and joining webinars. Furthermore, you can join research open-source projects to keep track of the rapid-paced AI improvement and trends.

7. Build a Strong Online Presence

As an engineer or coder, it is very important to build a credible portfolio and be visible to recruiters. You must create a GitHub portfolio, share AI solutions on LinkedIn, and participate in communities like Kaggle for better connectivity.

8. Apply Strategically to Top Recruiters

Companies such as Google, Amazon, and Infosys are the prime targets. Focus your resume on showing off skills learned through the usage of AI tools, project impact, and domain understanding.

Why Artificial Intelligence Is an Emerging Career

 

The term AI is no longer a hype; rather, it has become the driving force behind industries and has consequent job opportunities, including highly paid and fast-growing ones. Here is the reason why choosing a career in Artificial Intelligence is a great decision in today's era.

• Massive Market Expansion

The Indian Artificial Intelligence (AI) market is predicted to increase twofold, i.e., from $8 billion in 2025 to $17 billion by 2027. This will, in turn, create new job opportunities across industries.

• High Demand, Low Supply

Demand for highly skilled GenAI engineers has surged as the supply to fill their roles is just one replacement for every 10 vacancies. You, therefore, have a great probability of being employed in the top positions.

• Rapid Rise of Leadership Roles

The rapid growth of AI-based leadership positions such as Chief AI Officer or AI Product Manager has opened up the strategic doors that come with high salaries of over ₹30 LPA.

• Emergence of New High-Paying Roles

New positions such as prompt engineers, AI ethics officers, and AI trainers are evolving, along with the average salaries of ₹12–25 LPA being offered, even to fresh graduates.

• Skill-Based Hiring Over Degrees

Practical skills in Python, ML, NLP, and cloud AI tools are the main things that companies are looking for. That is why they cut the level of the entry requirement down to the minimum academic background needed.

Conclusion

 

One of the fields you can consider is AI, which tackles most of the concerns in the world: it is fun to work with, it is sought after everywhere, and it pays well. The learning of programming, plus practical experience, offers the best path to mastery of this area.

Irrespective of the specific job title, e.g., an Engineer, an  Architect, or a Principal Scientist, will take the right and fast steps on the career ladder. The time to do it is right now, especially when institutions like TOMS College are taking the lead.

FAQs

 

Is artificial intelligence a good career?

Yes—high demand, rapid innovation, and excellent long-term growth potential.

Do AI jobs pay well?

Absolutely—entry-level ₹5–10 LPA, senior roles can exceed ₹40 LPA.

Which job is best in the AI field?

Roles like AI Architect/Chief AI Officer, ML Engineer, and AI Research Scientist are top-tier.

Is it worth studying AI in 2025?

Definitely—AI skills offer better job security and compensation than most other tech fields.

What is the salary of an AI per month in India?

Entry-level AI roles pay ₹40k–80k/month (₹5–10 LPA), rising to ₹2–4 LPA monthly at peak leadership roles.