Azure AI Architect

Evnek Technologies Pvt Ltd; Bengaluru Urban; A distancia; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Evnek Technologies Pvt Ltd is seeking an extremely experienced AzureAI Architect to review and optimize a Microsoft Foundry deployment for an enterprise client. The role requires hands-on expertise in Azure Foundry, RAG, and secure cloud-to-on-premises integrations.

You will implement RAG-based retrieval, ensure secure integration with on‑premise data sources, and collaborate with security, infrastructure, and AI engineering teams to accelerate deployment.

Formación

• 10+ years of overall experience in IT, enterprise architecture, cloud architecture, or related technical roles.
• Strong hands-on experience designing, configuring, and deploying Microsoft Foundry (formerly Azure AI Foundry) solutions.
• Extensive experience with Microsoft Azure architecture and enterprise cloud integrations.
• Strong understanding of corporate networking, private connectivity, identity and access management, and secure cloud-to-on-premises integration.
• Hands-on experience integrating AI applications with SQL databases, ERP systems, and enterprise document repositories.
• Strong expertise in Retrieval-Augmented Generation (RAG), conversational AI, and enterprise knowledge retrieval.
• Experience with Azure AI Search, including indexing, retrieval strategies, and integration with AI applications.
• Ability to assess existing architectures, identify gaps, troubleshoot complex technical issues, and recommend scalable solutions.
• Understanding of enterprise security, data access controls, and secure handling of internal business data.
• Excellent communication, stakeholder management, technical documentation, and knowledge-transfer skills.
• Ability to work independently and collaborate effectively with infrastructure, security, and AI engineering teams.

Responsabilidades

• Review the existing Microsoft Foundry architecture and private connectivity setup, identify technical gaps, and recommend practical improvements.
• Design and validate secure integration between Microsoft Foundry and enterprise data sources, including on-premises SQL databases, ERP systems, and internal documents.
• Implement conversational AI solutions using appropriate Microsoft Azure services and Azure AI Search.
• Design and optimize RAG-based solutions for enterprise document retrieval and contextual responses.
• Assess identity management, access controls, network security, and connectivity between cloud and on-premises environments.
• Validate key Azure configurations and integration approaches through hands-on implementation and troubleshooting.
• Evaluate suitable Microsoft technologies, including Microsoft Foundry agents, Azure AI Search, and Copilot Studio, based on business and technical requirements.
• Document architecture decisions, technical dependencies, risks, and a phased implementation roadmap.
• Collaborate with client technical leads and engineering teams to prioritize improvements and accelerate deployment.
• Provide technical guidance, knowledge transfer, and implementation recommendations to the client's engineering team.
• Evaluate AI solution performance, including answer quality, response latency, reliability, and token consumption costs.

Conocimientos

Azure Foundry

RAG

Azure AI Search

Security configurations

Herramientas

Copilot Studio

Microsoft Bicep

Infrastructure as Code

Descripción del empleo

Location: Remote
Experience: 10+ Years
Notice Period: Immediate Joiners Only

Job Overview

We are looking for a highly experienced, hands-on AzureAI Architect to support an enterprise client in reviewing, optimizing, andaccelerating its existing Microsoft Foundry deployment.

The ideal candidate should have strong expertise inMicrosoft Azure architecture, Microsoft Foundry, Retrieval-Augmented Generation(RAG), and enterprise security, along with the ability to work directly withclient technical leads, infrastructure teams, security teams, and AI engineers.

Key Responsibilities

• Reviewthe existing Microsoft Foundry architecture and private connectivitysetup, identify technical gaps, and recommend practical improvements.
  
• Designand validate secure integration between Microsoft Foundry and enterprisedata sources, including on-premises SQL databases, ERP systems, andinternal documents.
  
• Implementconversational AI solutions using appropriate Microsoft Azure services andAzure AI Search.
  
• Designand optimize RAG-based solutions for enterprise document retrieval andcontextual responses.
  
• Assessidentity management, access controls, network security, and connectivitybetween cloud and on-premises environments.
  
• Validatekey Azure configurations and integration approaches through hands-onimplementation and troubleshooting.
  
• Evaluatesuitable Microsoft technologies, including Microsoft Foundry agents, AzureAI Search, and Copilot Studio, based on business and technicalrequirements.
  
• Documentarchitecture decisions, technical dependencies, risks, and a phasedimplementation roadmap.
  
• Collaboratewith client technical leads and engineering teams to prioritizeimprovements and accelerate deployment.
  
• Providetechnical guidance, knowledge transfer, and implementation recommendationsto the client's engineering team.
  
• EvaluateAI solution performance, including answer quality, response latency,reliability, and token consumption costs.
  

Preferred Skills

• Experienceworking in GCC High or similarly regulated and controlled enterpriseenvironments.
  
• Familiaritywith Microsoft Bicep and Infrastructure as Code (IaC).
  
• Hands-onexperience with Microsoft Foundry agents and Copilot Studio.
  
• Experienceevaluating and optimizing AI response quality, latency, reliability, andtoken costs.
  
• Knowledgeof Microsoft Azure security configurations, service availability, andaccess restrictions in controlled environments.
  
• Experiencecreating architecture diagrams, technical assessments, implementationplans, and deployment recommendations.
  

Requirements

Required Skills and Experience

• 10+years of overall experience in IT, enterprise architecture, cloudarchitecture, or related technical roles.
  
• Strong,hands-on experience designing, configuring, and deploying MicrosoftFoundry (formerly Azure AI Foundry) solutions.
  
• Extensiveexperience with Microsoft Azure architecture and enterprise cloudintegrations.
  
• Strongunderstanding of corporate networking, private connectivity, identity andaccess management, and secure cloud-to-on-premises integration.
  
• Hands-onexperience integrating AI applications with SQL databases, ERP systems,and enterprise document repositories.
  
• Strongexpertise in Retrieval-Augmented Generation (RAG), conversational AI, andenterprise knowledge retrieval.
  
• Experiencewith Azure AI Search, including indexing, retrieval strategies, andintegration with AI applications.
  
• Abilityto assess existing architectures, identify gaps, troubleshoot complextechnical issues, and recommend scalable solutions.
  
• Understandingof enterprise security, data access controls, and secure handling ofinternal business data.
  
• Excellentcommunication, stakeholder management, technical documentation, andknowledge-transfer skills.
  
• Abilityto work independently and collaborate effectively with infrastructure,security, and AI engineering teams.