> Markdown version of [/jobs/ext/4265517-sr-engineer-ai](https://www.wearedevelopers.com/jobs/ext/4265517-sr-engineer-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Engineer, AI - **Company:** T-Mobile Us, Inc. - **Location:** Frisco, TX, United States - **Experience:** Expert - **Salary:** $133,100.0 - $240,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Python (Programming Language), Machine Learning, Performance Tuning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Kubernetes, Information Technology, Data Management - **Published:** October 5, 2026 - **Apply:** https://diversityjobs.com/career/18556927/Sr-Engineer-Ai-Texas-Frisco ## About the Role * Data Management/Data Modeling - Retrieval Augmented Generation (RAG); Vector Databases/Embeddings * Prompt Engineering - LLM orchestration and RAG workflow design * Python - LLM Orchestration Frameworks, e.g., LangChain, ADK * Cloud Computing - RAG deployment, LLM application infrastructure, vector database/cloud AI services * Data Analysis * Model Tuning * Customer-Focused * Collaboration Education and Work Experience: * Bachelor's Degree Bachelor's degree plus 5 years of related work experience OR advanced degree with 3 years of related work experience OR combination of education and experience deemed equivalent (Required) * Acceptable areas of study include Computer Science, Artificial Intelligence, or Related Field Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science (Preferred) * 4-7 years Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning. (Preferred) * 4-7 years Experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows. (Preferred) * 4-7 years Experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems. (Preferred), * Certified Analytics Professional (CAP): Certification that endorses an individual's expertise in analytics, including the ability to transform complex data into valuable insights and actions, which is crucial for optimizing AI models in customer service automation. (Preferred) * NVIDIA Deep Learning AI Certification: This certification demonstrates proficiency in designing and deploying deep learning AI applications, relevant for enhancing AI model performance in complex systems like customer service workflows. (Preferred) * Certified Data Scientist (CDS): Certification that validates the skills required to analyze data scientifically and use it for operational improvements, which supports the development and optimization of AI tools and workflows. (Preferred) * At least 18 years of age * Legally authorized to work in the United States ## Description * Optimize AI performance through prompt engineering and fine-tuning to enhance customer service automation * Develop AI tools and workflows to support implementation of advanced AI systems within customer service operations * Architect sophisticated agentic AI systems to improve reasoning and interaction capabilities across complex workflows * Collaborate with cross-functional teams to ensure seamless integration of AI-driven enhancements into production systems * Evaluate the reliability, accuracy, and efficiency of AI models to ensure alignment with strategic objectives and customer satisfaction * Conduct ongoing research to stay updated with the latest AI technologies and methodologies applicable to customer service * Also responsible for other duties/projects as assigned by business management as needed