Role- AI Full stack Tech Lead

Experience – 8 -10 yrs

Location - Hyderabad, Bangalore

Role mapping - Technical Lead, Technical Architect, Solution Architect, AI Architect, Application Architect

Summary:

Lead the program’s architecture and secure engineering guardrails—defining reference patterns, reusable components, and SDLC quality standards to deliver production‑grade GenAI solutions at enterprise scale.

Role Summary

Hands‑on Lead Architect to serve as the technical anchor for an enterprise AI delivery program. This role establishes the reference architectures, secure engineering guardrails, reusable patterns, and quality standards that enable teams to deliver production‑grade AI applications and agents at high velocity.

Responsibilities include —leading design reviews, shaping solution blueprints, writing proof‑of‑concept code where needed, and ensuring security,



reliability, and responsible AI practices are embedded end‑to‑end.

Required Qualifications

Hands‑On Technical Expertise (Recent and Demonstrable)

- Backend / AI: Python (FastAPI preferred), Node.js/TypeScript; LangChain, LangGraph; Azure OpenAI / OpenAI patterns for production.
- Frontend: React (TypeScript) familiarity to guide full‑stack patterns.
- Data: PostgreSQL / Azure SQL / SQL Server; vector/RAG concepts and data access patterns.
- DevSecOps: Azure DevOps or GitHub Actions, Docker, IaC (Terraform/Bicep), secrets management, and security scanning integration.

Quality Engineering: automated testing strategies (Playwright or equivalent), plus

📌 AI Full stack Tech Lead (India)
🏢 Tata Consultancy Services
📍 India