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.