Azure AI Architect

🕒 6 days ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evnek

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.

📋 Description

• 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 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Immediate joiners only (notice-period requirement)

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