Architect - R01572475

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