Sr. AI Engineer at T-Mobile focused on architecting and optimizing advanced agentic AI systems for customer service. The role involves prompt engineering, fine-tuning, AI tooling, workflow design, and ensuring reliability, accuracy, and efficiency of AI models. It also includes supporting responsible AI controls and collaborating with cross-functional teams for seamless integration and issue resolution.

This Principal GenAI Software Engineer role focuses on designing, implementing, and deploying scalable generative AI-enabled solutions, including LLM orchestration, agent creation, and RAG. The role involves providing technical leadership, establishing GenAI engineering standards, and influencing technology decisions to improve operational efficiency and customer experience.

This role focuses on designing, developing, and deploying scalable software and Agentic AI solutions for intelligent customer engagement. The engineer will build AI-enabled applications, APIs, distributed services, and orchestration layers integrating LLMs, conversational AI, and enterprise systems. Responsibilities include developing multi-step AI workflows, agent-based systems, and contributing to cloud-native microservices and distributed systems for voice and text channels.

The Sr. Software Engineer, Agentic AI will design, build, and scale the core execution engine for T-Mobile's agentic AI experiences across mobile apps, web, and customer support channels (text and voice). This involves architecting and implementing systems for AI-driven decisioning, orchestration, and dynamic customer engagement at massive scale, integrating LLM reasoning with various T-Mobile systems. The role requires solving complex system design challenges to ensure safe and correct actions from model outputs and delivering a highly available platform.

Principal AI Product Manager, Technical responsible for owning the strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities. This role focuses on driving measurable business outcomes, managing product investment strategy, and collaborating with technical teams to deliver AI solutions that meet customer needs and business objectives.