Website:
theknowledgeartisans.com
Job details:
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 "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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