Design secure Azure AI and cloud solutions, leading architecture engagements, proofs of concept, pilots, and production adoption for customer applications and agents.
About this role
Based in Solution Engineering, this role leads technical Copilot and AI-agent engagements with enterprise customers, translating business needs into secure deployments. It works with customer IT, security and business decision-makers. The engineer identifies use cases, quantifies ROI, demonstrates Copilot, Copilot Studio and AI agents, and designs and evaluates proofs of concept and pilots. The work includes enterprise rollout planning, addressing security, compliance, data-governance and network barriers, and designing architecture using Microsoft 365, Entra ID, Purview and Graph. It also supports custom agents with Azure AI Foundry, including permission and sensitivity-label practices, and relays customer feedback to product teams. Applicants need at least eight years in enterprise IT presales, solution architecture, technical consulting or a comparable field; deep technical expertise in Microsoft 365/modern workplace or generative AI/AI agents; and a record of technical proposals and PoC leadership for large customers. A bachelor's degree or higher is required.
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