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 outcomesTranslate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilitiesDesign and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readinessDefine architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applicationsCollaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementationEstablish standards and best practices for AI platform engineering, integration, governance, security, and operationalizationEvaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomesProvide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise prioritiesRequired Skills:
Microsoft Azure AI technologies, including Azure Foundry and Azure AI servicesDesigning scalable, secure, and production-ready AI and analytics solutionsGenerative AI, machine learning, and advanced analytics architecturesEnterprise cloud platforms and data platform engineeringAPI design, integration patterns, and modern AI solution architecturesAI governance, security, responsible AI, and operationalization best practicesMLOps and AI platform automationPreferred Skills:
Leading enterprise AI transformation and platform modernization initiativesGenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestrationBuilding reusable AI platforms and accelerators for enterprise-scale adoptionLLMOps, AI observability, and model lifecycle managementConnecting AI platform capabilities to measurable business outcomesDesired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related disciplineMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure AI Engineer Associate
