This role involves designing, building, and hardening agentic AI applications that interact with enterprise systems of record, grounded on Microsoft Fabric and Azure AI services. The engineer will embed with a Corporate Function team as the technical lead of a small, multi-functional pod, driving solutions from problem identification to production at a rapid pace. This includes running tight, iterative build cycles (1-2 weeks per loop), owning end-to-end quality (security, reliability, scalability, observability, safe write-back), and making appropriate technology choices (low-code, agent-builder platforms, or custom code). A key aspect is ensuring data readiness for AI, including modeling, governance, and documentation in Fabric with proper lineage and access control. The role also requires setting and documenting reusable technical patterns and components, quickly becoming credible in new business domains, and constructively challenging requirements to ensure the optimal solution is delivered.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed