About The Role Project Role :Data Architect Project Role Description :Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills :Data Architecture Principles Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time educationJob Title: Technical Architect
AI & Data Solutions (Azure + LLM Integration)Role Overview: Seeking a highly skilled Technical Architect to design and implement cutting-edge AI-driven solutions leveraging Azure Cloud and Large Language Models (LLMs). This role involves defining technical patterns, ensuring security and scalability, and enabling seamless integration of AI capabilities into enterprise data platforms. Key Responsibilities: Technology AssessmentEvaluate the current technology landscape (Cloud, Data Warehouse, Lakehouse, integration, security) for LLM readiness and alignment with business objectives. Solution DesignDefine target technical patterns for chat engines and conversational AI platforms. Requirements AnalysisIdentify non-functional requirements such as performance, scalability, resilience, security, and data residency, along with key architectural constraints. Feasibility & RecommendationsProvide technical feasibility and effort estimates recommend build vs. reuse strategies for components and services.Core Skills & Expertise: Azure Cloud Services: oApp Services
Hosting chat engines and APIs oKey Vault
Secure secrets and credentials management oNetworking
VNET integration, private endpoints, firewall rules oPostgreSQL on Azure
Structured data persistence AI-over-BI Architecture: oDesigning AI-over-BI patterns using Microsoft Fabric, Databricks, and Power BI oSemantic layer governance and Retrieval-Augmented Generation (RAG) integration Security & Identity: oEntra ID (Azure AD)
Identity and access management oManaged Identities
App-level authentication for automation LLM Integration: oAzure OpenAI Service
API integration for GPT models oPrompt engineering and grounding strategies (RAG) Data Strategy & Engineering: oSQL
Query optimization and schema design oETL Basics
Data ingestion and transformation patterns oFamiliarity with Lakehouse and Data Warehouse architecturesPreferred Qualifications: Proven experience in designing enterprise-grade AI and data solutions on Azure. Strong understanding of cloud security, identity management, and compliance. Hands-on experience with Azure Open AI and modern data architectures. Excellent communication and stakeholder management skills. Qualification15 years full time education
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full time