Engineer AI

About the Role Engineer, AI (Support/Operations) at T Mobile monitors, maintains, and optimizes production AI agents and enterprise AI systems to ensure high availability, performance, and reliability across the organization. This role involves supporting deployed AI sol utions including LLM based applications, Agentic workflows, and Retrieval Augmented Generation (RAG) pipelines through incident response, troubleshooting, performance tuning, and operational monitoring. Working collaboratively with development teams and bu siness stakeholders, the Engineer ensures AI systems remain healthy, secure, and continuously improved, directly contributing to T Mobiles mission of operational excellence, efficiency, and customer first transformation. We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact! What Youll Do: Collaborate with AI development teams and business stakeholders to support deployment readiness, user onboarding, and escalation workflows. What Youll Bring: Bachelor's Degree plus 3 years of related work experience or advanced degree with 1 year of related work experience or combination of education and experience deemed equivalent in triaging, diagnosing, and resolving production incidents for AI systems and agentic workflows. knowledge of observability, logging, alerting, and performance monitoring for AI and RAG pipelines education, experience, and skills required or preferred to perform the essential functions of the job. APIs & Tools Experience with LLM APIs, enterprise AI platforms, connector integrations, and operational tooling (ServiceNow, Jira, etc.) in agile project management to facilitate effective incident response and operational improvement cycles. to align AI operations practices with enterprise reliability and service level goals. to identify and implement operational improvements and automation for AI support processes. on delivering reliable AI driven services that meet internal customer expectations and SLAs. Must Have Skills: Core platform technologies as specified in this role.

Nice-to-Have: Certifications: What type of professional credentials are required or preferred to be successful in this job License/Certification Details Required Preferred ITIL Foundation or similar: Certification.