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AI, Cloud And Application Solution Architect

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Onsite

AI, Cloud And Application Solution Architect

Knowledge Artisans

AI, Cloud And Application Solution Architect

Skills

ReactNodePython.NETMicroservicesAISAP ERPMicrosoft Power PlatformPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


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 • 812 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 "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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