14+ years of engineering experience, with at least 5 years working primarily on production AI/ML systems.
Demonstrable ownership of at least one cross-functional AI initiative where you drove the problem definition, not just the solution.
A track record of technical decisions that other teams built on — architecture patterns, evaluation frameworks, or platform choices that outlasted your direct involvement.
Experience coordinating across DS, Engineering and Product on a high-stakes AI initiative — resolving competing priorities, not just facilitating alignment.
Deep fluency in the AI stack: from training and fine-tuning decisions through serving, evaluation, and production monitoring.
Published work, open-source contributions,



or internal technical leadership that is visible and cited beyond your immediate team is a solid positive signal — not a requirement.
You design evaluation strategy at the organizational level — who owns the metric, how disagreements are resolved, and how you detect model drift before users do.
You have strong opinions on when automated eval is and is not trustworthy. You know when LLM-as-judge fails and what the fallback is.
You treat the prompt/eval loop as a platform problem, not a per-project task. You have scaled this across a team or product.

📌 Senior AI Architect (Bengaluru)
🏢 Flipkart
📍 Bengaluru