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Azure AI foundry Architect

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Hybrid

Azure AI foundry Architect

Genpact

Azure AI foundry Architect

Skills

SQL QueriesPostgreSQLAINo-code AutomationsAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹2,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

11 September 2026

What they need


Candidate Profile

Candidate Profile

  • 12+ years of overall IT experience, with 6+ years of hands-on experience in Microsoft Azure.
  • Strong background in Azure Integration and Cloud Solution Architecture, with experience designing and implementing enterprise-grade integration solutions.
  • Good understanding of Azure integration services, API management, serverless architecture, and cloud-based data platforms.
  • Strong experience in analyzing business requirements and translating them into scalable, secure, and reliable Azure-based solutions.

Key Technical Skills

  • Azure Functions Serverless application and event-driven integration.
  • Azure Logic Apps – Workflow automation and system-to-system integration.
  • Azure API Management (APIM) – API development, publishing, security, governance, and lifecycle management.
  • Azure SQL / Azure PostgreSQL – Database design, integration, data management, and optimization.
  • Azure Integration Services – Enterprise application and data integration patterns.
  • Data Modeling – Good understanding of conceptual, logical, and physical data modeling.
  • Data Backup & Recovery – Understanding of backup strategies, disaster recovery, and data recovery mechanisms in Azure.
  • Security & Governance – Understanding of Azure security, authentication, authorization, API security, and integration best practices.

Preferred Experience

  • Experience designing end-to-end Azure integration solutions across multiple applications and data sources.
  • Strong understanding of REST APIs, JSON, messaging, event-driven architecture, and integration patterns.
  • Experience with high availability, scalability, monitoring, logging, and performance optimization.
  • Ability to work with enterprise architecture, development, infrastructure, and data teams.
  • Good communication skills with the ability to interact with business stakeholders, technical teams, and customers.

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