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AI Cloud Engineer III
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Murphy USA
El Dorado, AR (In Person)
Full-Time
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Job Description
AI Cloud Engineer - Duties and Responsibilities Develop, deploy, and operate enterprise AI systems, APIs, and model-serving infrastructure that support retail operations at scale, including personalization, forecasting, pricing intelligence, and real-time decisioning across stores, digital channels, and supply chain systems. Work closely with data scientists, AI engineers, and application teams to integrate, deploy, and support AI capabilities within customer-facing and internal systems, including mobile applications. Translate AI solutions and business requirements into production-ready implementations, ensuring alignment with organizational standards and roadmaps defined by the Manager of AI Implementation and Strategy. Build, deploy, and maintain end-to-end AI pipelines, including data ingestion, feature engineering workflows, model training orchestration, deployment, and monitoring in production environments. Own the operational reliability of AI platforms and services, including uptime, performance, security, and cost optimization. Provision, configure, and maintain scalable AI and machine learning environments in Microsoft Azure and Databricks to support enterprise AI initiatives. Support, monitor, and troubleshoot cloud-based services integrated with POS systems, ensuring high availability and responsiveness. Implement and maintain infrastructure-as-code (IaC), CI/CD pipelines, and automation practices for AI workloads across Azure and Databricks environments. Monitor system health, model performance, and data pipelines, and proactively resolve issues, optimize workloads, and implement improvements. Ensure all solutions adhere to enterprise governance, security, and data management policies, including access controls, data privacy, and compliance standards. Create and maintain technical documentation, runbooks, and operational procedures to support system maintainability, incident response, and knowledge transfer. Collaborate with architecture and strategy teams by providing feedback from operational experience to improve system design, scalability, and maintainability.