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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Engineer, Software - AI Platforms & Network Data - **Company:** T-Mobile Us, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $150,700.0 - $271,900.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Data Analysis, Application Integration Architecture, Software Applications, Architectural Patterns, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Computer Engineering, Customer Data Management, Data Infrastructure, Distributed Systems, Python (Programming Language), Knowledge-Based Systems, Cloud Services, Search Technologies, Software Engineering, Software Systems, Systems Integration, Enterprise Data Management, Cloud Platform System, Spring Cloud, Large Language Models, Snowflake, Generative AI, AI Platforms, Information Technology, Data Management, Virtual Agents, Databricks, Programming Languages, Microservices - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b5c1abc91ccdfe58 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline with 7+ years of relevant experience, or an advanced degree with 5+ years of relevant experience. * 7 - 10 years of technical engineering experience. Required Knowledge, Skills and Abilities * Analytical Thinking * Analytics * Cloud Architectures * Cloud Computing * Collaboration * Communication * Customer Service * Leadership * Software Development * Technical Evaluation * Technical Planning * Technical Writing * Java * Python * RAG architectures * Agentic AI design and development * AI/LLM evaluation frameworks * Azure AI Search * LangChain, LangGraph, * Demonstrated experience designing and delivering enterprise-scale software systems. * Strong software engineering background with experience building scalable, distributed applications. * Experience architecting cloud-native applications and distributed platforms. * Proficiency in Java and Python. * Experience applying modern AI technologies, including Generative AI and Large Language Models, within production software solutions. * Strong analytical, problem-solving, and technical communication skills. * Demonstrated ability to influence technical direction across engineering teams. * Experience mentoring engineers and providing technical leadership. Experience working with large-scale data platforms, AI-powered applications, analytics platforms, or network data environments is highly desirable., * Certified Artificial Intelligence Professional (CAIP): Certification that validates expertise in designing and implementing AI solutions, including AI modeling and system integration. (Preferred) * Project Management Professional (PMP) Internationally recognized certification that demonstrates proficiency in project management, crucial for overseeing AI integration projects. (Preferred) * Certified Data Scientist (CDS): Certification that endorses skills in data science, crucial for the development and tuning of AI models. (Preferred) * At least 18 years of age * Legally authorized to work in the United States ## Description 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. What You'll Do As a Principal Engineer, you will: * 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 problem solving, and code reviews., * Generative AI * Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * Agentic AI * Azure OpenAI * Azure AI Search * LangChain * LangGraph Software Engineering * Java * Python * Distributed Systems * Cloud-Native Application Development * Microservices Architecture Cloud & Data * Microsoft Azure * Databricks * Snowflake * Enterprise Data Platforms * Large-Scale Data Processing Success in This Role Successful Principal Engineers: * Deliver enterprise-scale AI, software, and data platforms that provide measurable business value. * Solve complex technical challenges through sound architecture and engineering excellence. * Build reusable platform capabilities that accelerate AI adoption and engineering productivity. * Influence technical direction through collaboration, innovation, and technical leadership. * Balance strategic thinking with hands-on software engineering. * Mentor engineers while fostering a culture of innovation, continuous learning, and technical excellence. * Continuously evaluate emerging technologies and identify practical opportunities to improve products, platforms, and engineering effectiveness. Why Join the Team This is an opportunity to help shape the future of AI-powered software and data platforms supporting one of the largest and most advanced telecommunications networks in the world. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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