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Vacancy description

Azure AI Architect in भारत

Jobgether

  • RemoteWork from anywhere
  • HybridMix of office and remote
  • On-siteWork from the office
  • Full-timeStandard weekly hours
  • ContractFixed-term or freelance

भारत

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure AI Architect based in India. Join a technology-focused environment where enterprise cloud architecture, artificial intelligence, and secure data integration come together to deliver impactful business solutions. As an Azure AI Architect, you will assess, optimize, and accelerate existing Microsoft Foundry deployments, helping organizations build secure, scalable, and high-performing AI applications. You will work hands-on with Microsoft Azure, Retrieval-Augmented Generation (RAG), Azure AI Search, and conversational AI to connect enterprise data with intelligent applications. Collaborating directly with client technical leads, infrastructure specialists, security teams, and AI engineers, you will turn complex technical requirements into practical implementation strategies. Your work will strengthen enterprise security, improve AI response quality, and optimize performance, reliability, and operational costs. This remote contract opportunity is ideal for an experienced architect who combines deep technical expertise with strong stakeholder engagement and a hands-on approach to problem-solving. Accountabilities - Review existing Microsoft Foundry architectures and private connectivity configurations, identify technical gaps, and recommend practical improvements to accelerate deployment. - Design and validate secure integrations between Microsoft Foundry and enterprise data sources, including on-premises SQL databases, ERP systems, and internal document repositories. - Architect, implement, and optimize conversational AI solutions using appropriate Microsoft Azure services and Azure AI Search. - Design and enhance Retrieval-Augmented Generation (RAG) solutions to support accurate enterprise document retrieval, contextual understanding, and relevant AI-generated responses. - Assess and strengthen identity management, access controls, network security, and connectivity between cloud and on-premises environments.

- Validate Azure configurations and integration approaches through hands-on implementation, testing, troubleshooting, and technical assessment. - Evaluate and recommend suitable Microsoft technologies, including Microsoft Foundry agents, Azure AI Search, and Copilot Studio, based on business requirements, technical constraints, and architectural objectives. - Assess AI solution performance across key metrics, including response quality, latency, reliability, and token consumption costs, and implement improvements where necessary. - Document architecture decisions, technical dependencies, identified risks, and recommended solutions, including a phased implementation and deployment roadmap. - Collaborate with client technical leads, infrastructure teams, security specialists, and AI engineers to prioritize improvements and resolve complex technical challenges. - Provide technical guidance, knowledge transfer, and implementation recommendations to support the client's engineering team in adopting and maintaining AI solutions. - Promote secure, scalable, and maintainable architecture practices aligned with enterprise standards and operational requirements. Requirements - 10+ years of overall professional experience in IT, enterprise architecture, cloud architecture, or related technical roles. - Extensive hands-on experience designing, configuring, deploying, and optimizing Microsoft Foundry solutions, formerly known as Azure AI Foundry. - Strong expertise in Microsoft Azure architecture, cloud infrastructure, and enterprise application integrations. - Deep understanding of enterprise networking, private connectivity, identity and access management, and secure cloud-to-on-premises integration. - Practical experience integrating AI applications with SQL databases, ERP systems, and enterprise document repositories.

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