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Specialized Azure platform senior role in non-metro location with narrower candidate pool.
Core cloud and platform skills are transferable, but Azure-AI platform specifics need domain familiarity.
Requires extensive Azure platform experience, specific Azure services, IaC, security and operational ownership.
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Own and evolve the Azure-based control plane enabling centralized AI capabilities across multiple business units like Retail, Utility, LEX, and InfoDoc.
Lead architecture, deployment, and operation for Azure-hosted AI platform services, ensuring high availability, security, performance, and cost optimization.
Establish engineering standards including Infrastructure-as-Code (IaC), drive incident response and production support, and collaborate with cross-cloud teams for architectural alignment.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Extensive hands-on experience designing and operating large-scale Azure environments with cloud-native architectures.
Strong operational ownership experience supporting mission-critical production environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced senior engineer capable of driving architecture and engineering standards in complex, multi-business unit Azure AI platforms.
Strong understanding of cloud security, compliance, and observability with proven operational excellence.
Comfortable leading incident response and mentoring engineers while collaborating across cross-functional and cross-cloud teams.