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