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Metro role and common architect title balanced by niche LLM/governance expertise, producing medium competition.
Role requires deep AI architecture and governance skills, making cross-industry transferability limited.
Requires architecture, Azure, LLM, security, and governance expertise, leading to moderately strict shortlisting.
Define and own AI solution architecture for enterprise initiatives, covering applications, data, integration, security, operations, and deployment.
Develop and review reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption.
Collaborate with cybersecurity, privacy, data, platform, and governance teams to ensure compliance with enterprise standards and regulatory requirements, guiding delivery teams through architecture governance.
Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design.
Strong understanding of Azure, APIs, integration patterns, identity management, data platforms, application security, and operational readiness.
University or college education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.
Work Experience Required: Not explicitly mentioned in the JD.
Deep expertise in AI and enterprise architecture with a focus on LLM-enabled applications and AI governance controls.
Ability to produce clear architecture artifacts and effectively communicate design trade-offs to both technical and business stakeholders.
Experience working cross-functionally with cybersecurity, privacy, data, platform, and governance teams in complex, regulated environments.