PrincipalAIEngineer

UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands-on leadership role, you will build and scale production-grade platforms and AI-enabled products that power critical workflows, decision-making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross-functionally to turn complex business problems into scalable, secure, and reliable solutions.   What You Will Do AI Engineering, Data Science & Intelligent Product Development - Lead the design, development, and deployment of machine learning, statistical, and AI-driven solutions that support automation, prediction, decision-making, and personalization. - Own end-to-end delivery of AI-enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. - Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. - Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture - Design and develop scalable, secure, cloud-native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. - Lead end-to-end full-stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. - Architect systems using modern cloud patterns such as microservices, event-driven design, and manag