Principal AI Architect

Role: Principal AI Architect

Function: Engineering - AI/ML

Location: Navi Mumbai, Bangalore

Type: Full-time

Industry: AI/ML, Consumer Technology

About Company

A venture-backed AI company building the intelligence layer for India at massive scale. Backed by partnerships with global tech leaders like Meta and Google.

The company creates AI that serves the entire Indian user base across languages, contexts, and daily needs. Engineered from day one for 100M+ users early and 1B-ready constraints on latency, cost, reliability, and safety.

Position Overview

You will define the architecture and technical direction for an AI platform serving 100M+ users across India. You'll lead multiple technical teams spanning AI infrastructure, model orchestration, and vector knowledge systems while driving hands-on technical excellence. This role offers direct ownership of distributed AI/ML services that power real-world consumer experiences at unprecedented scale.

Role & Responsibilities

Define and drive the technical architecture for AI orchestration platform serving 100M+ users

Lead multiple engineering teams across AI infrastructure, model orchestration, and vector systems

Design and implement distributed AI/ML services with focus on latency, cost, and reliability

Build hands-on solutions for LLM orchestration, model routing, and multi-agent coordination systems

Establish technical standards and best practices for GenAI platform development

Drive architecture decisions for cloud-native AI infrastructure and observability systems

Own end-to-end GenAI solutions from prototype to production-scale deployment

Must Have Criteria

10+ years of experience in AI/ML distributed systems and AI/ML platform engineering

Hands-on experience building and owning GenAI solutions in production

Deep expertise with AI Agents, LLM orchestration, model routing, LangChain/LlamaIndex, VectorDBs, and RAG

Strong experience with AI/ML orchestration frameworks and embeddings systems

Proven leadership experience driving architecture decisions at scale

Experience with Azure DevOps and GCP cloud-native stacks including Kubernetes, Kafka, and Terraform

Demonstrated ability to build distributed AI/ML services with high reliability

Nice to Have

Experience building AI platforms for consumer-scale applications (100M+ users)

Background in multi-modal and multi-lingual AI systems

Previous experience in startup or high-growth technology environments

Open source contributions to AI/ML orchestration or infrastructure projects

What We Offer

Opportunity to build AI infrastructure for 100M+ users across India

Leadership role in a fast-moving, high-ambition AI team

Direct impact on category-defining consumer AI experience

Collaboration with global tech partners like Meta and Google

Competitive compensation and equity in a high-growth AI company