Specific, actionable advice for building an AI career in India in 2026. No vague platitudes.

For fresh graduates (0-1 year): your first priority is getting hired, not getting your dream job. Apply to AI teams at IT majors (TCS, Infosys, Wipro) — they're hiring hundreds of AI roles at 6-12 LPA. Use that as a launchpad. Build projects after hours. Move to a better role in 12-18 months.

For early career (1-3 years): this is your specialization window. Pick one: GenAI/LLM, computer vision, MLOps, or data engineering. Go deep. Target product companies and startups — Flipkart, Swiggy, PhonePe, Meesho, Razorpay all have AI teams paying 15-30 LPA.

For mid career (3-6 years): start targeting GCCs (Goldman Sachs, JP Morgan, Google, Microsoft India) at 30-60 LPA. Or join well-funded AI startups for equity + salary. Your open source contributions and technical blog start mattering more than your resume.

For senior (6+ years): you should be choosing between leadership tracks. Technical (Staff/Principal engineer at 50 LPA - 1 Cr+), management (AI team lead), or entrepreneurship (founding or co-founding). Remote international roles at $100K-$180K are realistic.

The cities: Bengaluru is still #1 for AI jobs. Hyderabad is growing fastest. Chennai has strong GCC presence. Pune and Gurgaon round out the top 5.

The non-negotiable at every stage: a strong GitHub profile with real projects. This single asset has higher ROI than any certification or degree in the Indian AI job market.

Start building today. The Indian AI market rewards doers, not planners.