Principal Engineer, Software – AI Platforms & Network Data

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The Network Data & AI team builds the data platforms, data products, and AI-powered solutions that empower data-driven decisions and transform network operations, customer experience, and engineering productivity across T-Mobile.

Our team develops enterprise-scale capabilities that collect, process, analyze, and operationalize network and device data to deliver trusted analytics, intelligent automation, and AI-powered insights. These capabilities enable engineering and business organizations to make faster, better-informed decisions supporting network planning, customer experience, device intelligence, geospatial intelligence, and AI-driven innovation.

Our mission is to solve complex engineering challenges by building scalable AI, software, and data solutions that create measurable business value while advancing intelligent automation and engineering excellence.

The Principal Engineer serves as a senior technical leader responsible for designing, building, and evolving enterprise-scale AI, software, and data platforms that power T-Mobile's Network Data & AI initiatives. This role architects intelligent systems that transform network, device, and customer data into trusted data products, AI-powered solutions, and automated workflows supporting engineering, business operations, and executive decision-making.

Working at the intersection of artificial intelligence, software engineering, cloud computing, and distributed systems, the Principal Engineer develops reusable AI services and platform capabilities—including Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and enterprise knowledge systems—that accelerate intelligent automation, engineering productivity, and AI adoption across the Network Data & AI organization.

This role requires a highly collaborative technical leader who combines hands-on software engineering with strategic architectural thinking to solve complex technical challenges, evaluate emerging technologies, and influence technical direction across multiple engineering teams.

Success is measured by delivering scalable, secure, and highly available AI platforms, software solutions, and data products that improve operational efficiency, enable intelligent automation, support strategic business initiatives, and deliver measurable business value.

• Lead the architecture, design, and implementation of enterprise-scale AI, software, and data platforms supporting Network Data & AI initiatives.
• Design and develop cloud-native, distributed systems that transform large-scale network and enterprise data into trusted data products and AI-powered solutions.
• Build reusable AI services utilizing Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, enterprise knowledge systems, and related technologies.
• Develop scalable software solutions using modern programming languages, cloud services, and distributed computing technologies.
• Evaluate emerging technologies and establish architectural patterns that improve scalability, reliability, security, and engineering productivity.
• Provide technical leadership through architecture reviews, mentoring, technical guidance, and engineering best practices.
• Partner with engineering, product, network, and business stakeholders to design solutions for complex technical and business challenges.
• Drive innovation through practical application of emerging AI technologies, intelligent automation, and modern software engineering practices.
• Produce clear technical documentation, architecture designs, and implementation guidance that support long-term platform evolution.
• Remain an active, hands-on engineer, contributing to software design, implementation, technical…