AI Solution Architect – Azure, GenAI & Enterprise Integration

Job Description

We are seeking an experienced AI Solution Architect to join the AI Architecture & Engineering organization and help shape the enterprise AI strategy and implementation for a global organization.

The AI Transformation organization is building an enterprise AI capability based on a vendor-agnostic, capability-based architecture that includes a governed Model Context Protocol (MCP) gateway, Azure AI foundation, enterprise integration, and production AI use cases.

The ideal candidate will own solution architecture for AI initiatives, translating enterprise architecture principles into secure, scalable, production-ready designs. This is a hands-on architecture role requiring strong experience with Azure, Generative AI, LLMs, Agentic AI, enterprise integration, identity, security, and SAP.

The candidate should also be comfortable writing code in Python or TypeScript to prototype and validate architectural designs.

Key Responsibilities

• Own solution architecture and technical design for enterprise AI applications, integrations, and vendor proof-of-concepts.

• Define integration topology, data flows, identity and authorization patterns, and security a