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AI, Cloud And Application Solution Architect – Global Enterprise Solutions

Bangalore, Karnataka · Onsite Full-time 8-12 years Any Graduate Direct Client hiring Posted today💰 Not disclosed
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Must Have Skills

AI/GenAILLMRAGAzureSolutionArchitectureApplicationArchitectureAPIsIntegrationEnterpriseDataSecurityProductionDeliveryStakeholderManagement

Preferred Skills

AzureOpenAIAzureAISearchAIAgentsVectorSearchSemanticSearchPythonReactNode.js.NETMicroservicesAzureDataFactoryPowerPlatformPowerBISharePointSAPTeamcenterDevOpsContainersLLMOpsAIGovernance

About the Role Our client is looking for an AI-focused Solution Architect to identify, design and deliver AI-led enterprise solutions for client companies globally. AI/GenAI is the main focus, supported by strong application, Azure, data and integration architecture capability.

What You'll Do  Work with business teams to discover and prioritize practical AI/GenAI use cases.  Architect solutions using LLMs, RAG, AI assistants/copilots, enterprise search and agentic workflows where appropriate.  Design secure integration of AI with enterprise applications, data, APIs and knowledge sources.  Take solutions from concept/PoC through architecture approval, development and production deployment.  Architect modern web/cloud applications on Microsoft Azure and guide engineering teams.  Present solution options, value, risks, cost and architecture to steering committees and senior stakeholders.  Address AI evaluation, hallucination/grounding, security, privacy, monitoring and responsible AI.

Core Skills  8–12 years in software/application/cloud engineering with meaningful solution-design responsibility.  Demonstrable hands-on delivery of AI/GenAI solutions; strong understanding of LLMs and RAG.  Strong Microsoft Azure and modern application architecture experience.  APIs, integration, enterprise data and security fundamentals.  Ability to guide developers/engineers and take solutions into production.  Strong stakeholder communication and solution-presentation capability.

Preferred / Advantage  Azure OpenAI / Azure AI / Azure AI Search, AI agents, vector/semantic search.  Python, React, Node.js/.NET, microservices and cloud-native development.  Azure Data Factory, Power Platform, Power BI, SharePoint.  SAP or Teamcenter/PLM integration exposure; manufacturing/engineering environment.  DevOps, containers and AI governance/LLMOps.

What We're Looking For We are not restricting this to candidates already titled And AI Architect. A strong Technical Lead, Application Architect or Cloud Architect with genuine AI/GenAI delivery experience and the ability to solution, present and steer implementation can be an excellent fit.

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