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.