Principal Architect (Bengaluru)

Principal Architect (Bengaluru)

12 Aug
|
ZenteiQ.ai
|
Bengaluru

12 Aug

ZenteiQ.ai

Bengaluru

About ZenteiQ

ZenteiQ is building the Scientific Intelligence Infrastructure for industry — physics-native AI for engineering, manufacturing, energy, and mobility. Born at IISc Bangalore and founded by Prof. Sashikumaar Ganesan, we are one of eight startups selected by the IndiaAI Mission (MeitY) to build India's sovereign foundation models.

Most AI today is adapted from general-purpose language models. We train ours from scratch. BrahmAI, our family of scientific foundation models, learns from simulation, sensor, and research data to reason across thermal, electromagnetic, structural, and materials domains. That intelligence powers KogneX, our AI-native R&D; platform for enterprises and manufacturing, and AhamX, the talent and research OS behind our AI Hub Network of partner institutions.

We are a team of 35+ scientists, AI researchers, and engineers turning frontier research into systems that industry actually runs on.

About this Role

ZenteiQ is building agentic, Generative AI-powered systems that need to run not as demos but as production infrastructure people depend on.



The platform, powered by our Scientific Foundation Model, is designed for a wide range of consumers — from government to industry to academia. This role owns the architecture decisions that determine whether our agentic AI infrastructure is trustworthy at scale: state management across distributed components, failure handling, and performance engineering that keeps cost and latency in check as the system grows more capable.

We're looking for someone who can look at a distributed system under load and know, within minutes, whether it's about to fail gracefully or catastrophically — and who has already spent a career building the muscle to make it fail gracefully. Someone who has shipped code themselves for long enough to distrust architecture that only exists on a whiteboard, and who now wants to point that instinct at one of the hardest problems in applied AI: making multi-agent, RAG-driven

📌 Principal Architect (Bengaluru)
🏢 ZenteiQ.ai
📍 Bengaluru

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