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.