Description

Define and own end-to-end Azure GenAI architecture, ensuring security, governance, and enterprise integration for multi-agent platforms.

This role is on-site.

Responsibilities

• Design reference architectures for AI Knowledge Assistants, legal/HR/finance use cases, and multi-tenant AI platforms.
• Define agentic orchestration patterns, including multi-agent workflows, tool calling, prompt chaining, and routing logic.
• Establish enterprise-grade controls for data segregation, RBAC, managed identity, content filtering, and Responsible AI compliance.
• Define integration patterns with Microsoft Teams, M365, Graph API, SAP, and ServiceNow via Azure API Management.
• Act as technical authority for CI/CD approaches, private networking, and environment strategy.

Required Skills

• 12+ years in architecture or senior technical leadership roles.
• Strong experience with Microsoft Azure Cloud Architecture.
• Deep understanding of GenAI/LLM systems, including RAG, embeddings, grounding, and hallucination controls.
• Experience architecting secure, enterprise-scale AI platforms.
• Ability to translate business use cases into enforceable technical architecture.

Preferred Skills

• Azure certifications (Architect/AI Engineer).
• Experience defining AI governance or Responsible AI frameworks.

Key Skills

Education

Bachelor's degree