Azure AI Architect

Job
Description: Azure AI Architect

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

Job Overview

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

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

Key Responsibilities

• 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.
  

Preferred Skills

• Experience
  working in GCC High or similarly regulated and controlled enterprise
  environments.
  
• Familiarity
  with Microsoft Bicep and Infrastructure as Code (IaC).
  
• Hands-on
  experience with Microsoft Foundry agents and Copilot Studio.
  
• Experience
  evaluating and optimizing AI response quality, latency, reliability, and
  token costs.
  
• Knowledge
  of Microsoft Azure security configurations, service availability, and
  access restrictions in controlled environments.
  
• Experience
  creating architecture diagrams, technical assessments, implementation
  plans, and deployment recommendations.
  

Requirements

Required Skills and Experience

• 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.