AI Architect

Summary: The position of Senior/Principal AI Solution Architect is pivotal in integrating enterprise AI architecture with Azure Cloud architecture, enabling the creation of secure and scalable AI solutions while aligning with business needs. Responsibilities: * Define target and transition architectures for AI, GenAI, and data-driven solutions. * Design Azure-based architectures encompassing integration patterns, APIs, identity, networking, observability, and deployment. * Define and validate non-functional requirements (NFRs) such as scalability, maintainability, security, and data protection. * Lead architecture and design reviews, documenting Architecture Decision Records (ADRs). * Guide engineering teams, identify technical risks, and maintain architecture traceability from requirements to implementation. * Create reusable architecture patterns, reference architectures, and Enterprise AI standards. * Provide deployment and operational architecture guidance. Must Haves: * Profound knowledge of Microsoft Azure architecture. * Expertise in Azure AI Foundry and Azure OpenAI. * Experience with Microsoft Copilot Studio and GitHub Copilot. * Familiarity with RAG architectures, vector/search patterns, and Agentic AI. * Skills in enterprise API and integration architecture, emphasizing identity and networking security. * Proficiency in DevOps concept, CI/CD, deployment patterns, and operational architecture practices. * Understanding of Responsible AI and compliance with the EU AI Act. * Experience with IBM ALM suite (RDNG, EWM, ETM). * Azure Solutions Architect certification is highly advantageous. Nice to Haves: * Familiarity with additional AI patterns and architectures. * Experience in large-scale deployments of AI solutions. * Knowledge of enterprise-level networking principles. * Secondary certifications in architecture methodologies.