Architect Architect Job requirements Experience Range: With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions Key Responsibilities: - Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes - Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities - Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness - Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications - Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation - Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization - Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes - Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities Required Skills: - Microsoft Azure AI technologies, including Azure Foundry and Azure AI services - Designing scalable, secure, and production-ready AI and analytics solutions - Generative AI, machine learning, and advanced analytics architectures - Enterprise cloud platforms and data platform engineering - API design, integration patterns, and modern AI solution architectures - AI governance, security, responsible AI, and operationalization best practices - MLOps and AI platform automation Preferred Skills: - Leading enterprise AI transformation and platform modernization initiatives - GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration - Building reusable AI platforms and accelerators for enterprise-scale adoption - LLMOps, AI observability, and model lifecycle management - Connecting AI platform capabilities to measurable business outcomes Desired Qualifications: - Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline - Microsoft Certified: Azure Solutions Architect Expert - Microsoft Certified: Azure AI Engineer Associate

Architect - R01572475

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