EPISODE · Aug 6, 2026 · 35 MIN
How to Build an AI Governance Career Without Writing Code ( Lawyer -> AI Architect POV) - w/ Aashita
from Ready Set Do · host Naman Pandey
Aashita Jain's H-1B didn't get picked. She was on an L-1 visa at Informatica, working against a clock that wasn't hers to control. Most people in that spot panic and start mass-applying to any job that will sponsor them. She built an O-1 visa case instead, and turned herself into an AI governance architect. That's a job title most engineers have never heard of, and one that barely existed five years ago. This episode is about what happens when the standard visa route closes and you have to build your own door. We start with the stereotype: governance people as the ones who show up late and say no to everything. Aashita's version looks nothing like that. She sits with engineers, reads architecture diagrams, and figures out how a product survives regulators in the US, the EU, and India before it ships, not after. (If your mental image of a lawyer in tech is someone slowing down a sprint review, this will reset it.) Her path is not a straight line. Law school in India, then Infosys, then Ireland, then the US. Each stop added a different lens on how privacy law actually works on the ground versus how it gets taught in a classroom. We get into how she treats privacy as a product decision, not a checklist someone fills out at the end. Consent architecture, GDPR, the EU AI Act: these come up constantly in her work, but she talks about them the way an engineer talks about tradeoffs, not the way a textbook does. Then we get to the O-1. The extraordinary ability visa has a reputation for being reserved for Nobel laureates and Olympic athletes. Aashita breaks down the exact mindset shift that won her case: thought leadership over article count. Getting cited in one meaningful place beats publishing ten forgettable ones. That distinction was her whole immigration strategy. We also get into the IAPP, what a non-coding tech job actually looks like inside an AI company, and why AI governance jobs are quietly becoming one of the more durable AI policy careers out there. Not the flashiest path, but one where demand keeps climbing as AI regulation catches up to the technology. If you're an engineer curious about privacy engineering, a lawyer eyeing a pivot into tech law, or someone staring down an H1B not selected notice and wondering what an H1B alternative even looks like, this one's your blueprint. 🎯 Subscribe on YouTube and Spotify for more career pivot stories that don't follow the script. Timestamps: 00:00 — The Journey from Law to AI Governance 03:32 — Bridging Law and Technology 06:25 — Understanding Governance in AI 09:17 — The Role of Lawyers in Tech 12:09 — Real-World Examples of Governance Challenges 15:21 — Cultural Influences on AI Governance 18:30 — Career Pathways in AI Governance 21:10 — Navigating the O-1 Visa Process 24:16 — Contrasting Global Perspectives on AI Governance 27:14 — The Future of Privacy and AI Governance 30:11 — Advice for Aspiring Professionals in AI Governance
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How to Build an AI Governance Career Without Writing Code ( Lawyer -> AI Architect POV) - w/ Aashita
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