GenAI Ops Solution Architect

CGI is seeking a Senior GenAI / Agentic AI Engineer to support the migration of an enterprise knowledge search and retrieval-augmented generation platform from Microsoft Semantic Kernel to Microsoft Agent Framework. The role focuses on refactoring the orchestration layer, preserving APIs, security, retrieval behavior, citations, and RAG quality, while enhancing AI integrations, observability, evaluation, and deployment practices.

Responsibilities:

• Lead/support migration from Semantic Kernel to Microsoft Agent Framework
• Refactor SK Native Plugins, planners, function calling, prompts, memory, and chat history into Agent Framework agents and workflows
• Develop and enhance the orchestration layer using Python and Django
• Maintain existing API contracts, RBAC, permissions, and application integrations
• Integrate with Azure AI Search and Azure OpenAI for hybrid retrieval, semantic ranking, inference, and embeddings
• Preserve existing RAG retrieval, reranking, prompt assembly, and citation functionality
• Implement tool and connector integrations using Model Context Protocol (MCP)
• Implement observability using OpenTelemetry and Arize Phoenix
• Perform RAG/agent evaluation and regression validation to ensure functional and quality parity after migration
• Participate in GitHub based CI/CD, code reviews, DevSecOps, and vulnerability remediation