JOB ID: QT-KRS-08-513

Job Summary

We are looking for an experienced Technical Architect with robust expertise in Azure AI, Agentic AI, RAG, LangGraph/LangChain, Python, and enterprise architecture . The ideal candidate will lead the technical architecture and delivery across multiple engineering tracks, ensuring scalable integrations, robust observability, security, and enterprise-grade AI solutions.

The candidate should have robust hands-on experience designing agentic AI systems , RAG architectures , Azure-based solutions, and backend platforms while coordinating teams across backend, LLM/AI, frontend, and data engineering disciplines.

Key Responsibilities
Define, implement, and enforce architectural standards, integration patterns, data contracts, and engineering best practices across all delivery tracks.
Lead weekly technical steering calls with Product Owners and technical stakeholders.
Identify, manage, and resolve cross-track dependencies and shared infrastructure decisions.
Drive architectural decisions related to:




ServiceNow client libraries and integrations
PostgreSQL schema and data models
Scheduler and workflow design
API integration patterns
Shared infrastructure and platform components
Review and approve LangGraph/LangChain agent designs , RAG architectures, API integration approaches, and data models before development begins.
Design scalable and reliable Agentic AI architectures for enterprise use cases.
Define and govern RAG pipelines , including document ingestion, chunking, embeddings, retrieval strategies, vector databases, reranking, and response generation.
Architect and review Azure-based solutions using services such as Azure Resource Graph, Azure Monitor, Azure Advisor, AKS, and Azure Container Apps .
Ensure solid implementation of OpenTelemetry, observability, monitoring, tracing, logging, and metrics across applications and AI workflows.
Manage technical risks, identify blockers, escalate critical issues,

📌 Ai Architect Agentic Ai Nagpur
🏢 Qloron Technology
📍 Nagpur