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Senior, niche Azure+agentic-AI architect role at a known analytics firm reduces applicant density.
Requires deep Azure, enterprise architecture and agentic AI expertise, limiting cross-industry transferability.
Explicit 10+ years plus mandatory Azure and agentic AI architecture experience create strict shortlisting filters.
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Own the end-to-end target architecture for an enterprise-grade procurement agentic AI solution using Azure cloud services.
Define and enforce architecture principles, guardrails, and deployment blueprints covering AI/ML, agent orchestration, integration, security, observability, and user applications.
Collaborate with stakeholders to ensure the solution is scalable, secure, operable, and enterprise-ready across all deployment environments.
10+ years experience in enterprise solution architecture or related technology leadership roles.
Strong hands-on experience with Microsoft Azure architecture and cloud-native enterprise deployment patterns.
Proven capability in designing distributed systems involving APIs, microservices, event-driven architectures, containerized workloads, and AI/ML model integration.
Work Experience Required: 10+ years explicitly mentioned.
Deep expertise in Azure services including OpenAI, AI Foundry, Machine Learning, AKS, Container Apps, and related components for scalable cloud solutions.
Strong understanding of GenAI and agentic AI architectures, including LLM orchestration, tool calling, RAG, state management, and operational controls.
Experienced in engaging with client architects and executive technology stakeholders to balance technical trade-offs, scalability, security, and enterprise compliance requirements.