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Senior, niche Azure+agentic AI role limits broad competition despite metro location and known analytics brand.
High—specialized Azure and agentic AI architecture skills limit cross-industry transferability.
10+ years, mandatory Azure architecture and GenAI expertise make filters very strict.
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Define and own the end-to-end target architecture including Azure deployment, agent orchestration, integration, security, and observability for an enterprise-grade procurement agentic AI solution.
Determine appropriate Azure deployment stack and cloud patterns ensuring scalability, security, and enterprise readiness.
Collaborate with stakeholders across technology, AI/ML, security, and delivery teams to enable seamless solution implementation and production operations.
10+ years in enterprise solution architecture, cloud architecture, or related technology leadership roles.
Strong hands-on experience with Microsoft Azure and enterprise cloud-native deployment patterns.
Proven expertise in distributed systems, microservices, event-driven architecture, agentic AI including LLM orchestration, and security controls.
Work Experience Required: 10+ years. Notice period: Not explicitly mentioned in the JD.
Experienced in designing complex, multi-layered AI and cloud-native architectures integrating conventional software, AI/ML, and agent workflows.
Capable of balancing architecture quality with delivery timelines in large-scale enterprise environments involving multiple technical and business stakeholders.
Familiar with Azure AI services (OpenAI, AI Foundry, Machine Learning), agent orchestration frameworks, and production AI governance in regulated or high-tech industry contexts.