Career Transition to AI Engineering with Ethiraj Murugan

AI engineering is one of the fastest growing and highest paying disciplines in software in 2026. But the path from where you are now to a Senior AI Engineer role is different for everyone — and most roadmaps online are generic and outdated.

In this 60-minute session I will assess your current skill profile — identifying what you have that directly transfers to AI engineering and what the actual gaps are, which are usually fewer than you think. I will help you identify your unique positioning because your background is not a liability, it is a differentiator. A testing engineer who adds AI skills becomes an AI Quality Engineer — a rare and valuable profile. We will find yours. I will build your 90-day learning roadmap with specific resources, specific projects, and specific certifications in the right order for your starting point. I will define your first target role — not AI Engineer generically, but the specific job title and company type where your profile is strongest right now. I will also prepare your narrative — how to talk about your transition in interviews so it sounds like a strategic move, not a pivot.

This session is for you if you are a software engineer, tester, data analyst, or developer wanting to move into AI engineering, if you are 2 to 10 years into your career and wondering if it is too late (it is not), or if you want a specific plan rather than generic learn Python and ML advice.

Bring to the session your current resume, your target salary and location, and your biggest concern about the transition.