AI Solution Architect (Microsoft AI Stack) - 10+ Years

Job Title: AI Solution Architect (Microsoft AI Stack) - 10 Years Experience: 10+ Years Location: Remote/Hybrid Employment Type: Full-Time About the Role: We are looking for an experienced AI Solution Architect with 10+ years of enterprise technology experience and a proven track record of architecting and delivering AI solutions at scale. The ideal candidate will bring deep expertise across the Microsoft AI ecosystem, strong enterprise architecture capabilities, and hands-on experience building secure, production-ready Generative AI solutions. You will play a key role in shaping AI strategy, defining scalable solution architectures, establishing AI governance standards, and driving enterprise-wide AI adoption. Key Responsibilities: Architect end-to-end enterprise AI and Generative AI solutions using the Microsoft AI technology stack.Define scalable, secure, and production-ready AI architectures aligned with business and technology strategies.Design and implement AI applications leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, and Microsoft Copilot technologies.Lead the design of RAG, AI Agent, and enterprise knowledge solutions.Establish AI governance frameworks covering Responsible AI, security, compliance, model lifecycle, and risk management.Partner with business leaders, engineering teams, and data stakeholders to translate complex business problems into AI-driven solutions.Drive AI architecture reviews, technology standards, and best practices across enterprise programs.Ensure AI solutions meet enterprise requirements for scalability, performance, reliability, observability, and cost optimization.Mentor engineering teams and provide technical leadership throughout the solution lifecycle. Required Skills: 10+ years of experience in Solution Architecture, Cloud Architecture, or Enterprise Architecture.Strong expertise across the Microsoft AI ecosystem, including: Azure OpenAI ServiceAzure AI FoundryAzure AI SearchAzure Machine LearningAzure Cognitive ServicesMicrosoft Copilot StudioMicrosoft FabricAzure Kubernetes Service (AKS)Proven experience designing and deploying enterprise AI/GenAI solutions into production.Strong understanding of Large Language Models (LLMs), Prompt Engineering, RAG, AI Agents, Semantic Search, Vector Databases, and MLOps.Deep knowledge of AI Governance, Responsible AI, AI Security, Data Privacy, Compliance, and Model Governance.Hands-on experience with Python, REST APIs, .NET, Azure DevOps, CI/CD, and cloud-native architecture.Excellent stakeholder management, communication, and technical leadership skills. Preferred Qualifications: Microsoft Azure Solutions Architect Expert and/or Azure AI Engineer certifications.Experience with Microsoft Copilot implementations and enterprise AI transformation initiatives.Familiarity with Semantic Kernel, LangChain, or Microsoft Agent Framework.TOGAF or equivalent enterprise architecture certification is a plus. Email: harshita.chaurasiya@eicetechnology.com Contact: 8009271142 Job Title: AI Solution Architect (Microsoft AI Stack) - 10 Years Experience: 10+ Years Location: Remote/Hybrid Employment Type: Full-Time About the Role: We are looking for an experienced AI Solution Architect with 10+ years of enterprise technology experience and a proven track record of architecting and delivering AI solutions at scale. The ideal candidate will bring deep expertise across the Microsoft AI ecosystem, strong enterprise architecture capabilities, and hands-on experience building secure, production-ready Generative AI solutions. You will play a key role in shaping AI strategy, defining scalable solution architectures, establishing AI governance standards, and driving enterprise-wide AI adoption. Key Responsibilities: Architect end-to-end enterprise AI and Generative AI solutions using the Microsoft AI technology stack.Define scalable, secure, and production-ready AI architectures aligned with business and technology strategies.Design and implement AI applications leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, and Microsoft Copilot technologies.Lead the design of RAG, AI Agent, and enterprise knowledge solutions.Establish AI governance frameworks covering Responsible AI, security, compliance, model lifecycle, and risk management.Partner with business leaders, engineering teams, and data stakeholders to translate complex business problems into AI-driven solutions.Drive AI architecture reviews, technology standards, and best practices across enterprise programs.Ensure AI solutions meet enterprise requirements for scalability, performance, reliability, observability, and cost optimization.Mentor engineering teams and provide technical leadership throughout the solution lifecycle. Required Skills: 10+ years of experience in Solution Architecture, Cloud Architecture, or Enterprise Architecture.Strong expertise across the Microsoft AI ecosystem,