Sr AI Engineer

T-Mobile•Frisco, TX

9d•$133,100 - $240,100

About The Position

T-Mobile is seeking a Senior AI Engineer to architect and optimize agentic AI systems that advance customer service. The role designs AI systems that coordinate across models, internal APIs, and third-party tools to deliver reliable, production-grade workflows and intuitive customer interactions. It applies prompt engineering, model fine-tuning, evaluation frameworks, and system-level orchestration to improve AI accuracy, reliability, and reasoning across the enterprise. The engineer works with engineering, product, and operations teams to deliver resilient, fault-tolerant systems supporting customer conversations at scale. The position focuses on building and deploying generative AI applications, LLM-powered solutions, agentic workflows, and RAG systems for business operations and customer service automation. It also involves integrating APIs and enterprise data services, developing cloud-native solutions, applying security and responsible AI practices, and establishing production observability. The role contributes to technical reviews, mentoring, engineering standards, and evaluation of emerging AI technologies.

Requirements

Strong proficiency in Python, software engineering principles, and object-oriented programming.
Experience designing, developing, securing, and integrating RESTful APIs using FastAPI or an equivalent framework.
Hands-on experience building applications with large language models, prompt engineering, structured outputs, function calling, and tool integration.
Experience developing AI agents, tool-calling workflows, and orchestration solutions using LangGraph, LangChain, or similar frameworks.
Knowledge of embeddings, vector databases, semantic retrieval, document processing, and data integration.
Experience developing and deploying applications on Azure, AWS, or Google Cloud.
Proficiency with Git, CI/CD pipelines, automated testing, and production software development practices.
Ability to design scalable, secure, reliable, and maintainable distributed applications.
Strong analytical skills and experience working with structured and unstructured data.
Understanding of model evaluation, performance benchmarking, accuracy measurement, and AI quality assurance.
Strong communication, problem-solving, and cross-functional collaboration skills.
Bachelor's degree and 5 years of related work experience, or an advanced degree and 3 years of related work experience.
At least 18 years of age and legally authorized to work in the United States.

Nice To Haves

Experience with Model Context Protocol (MCP) and enterprise AI tool integrations.
Experience with Docker, Kubernetes, and cloud-native deployment tooling for AI workloads.
Acceptable areas of study include Computer Science, Artificial Intelligence, or a related field; preferred advanced degree in Computer Science, Artificial Intelligence, or Data Science.
Four or more years of experience developing and optimizing AI models for customer service automation using techniques such as prompt engineering and fine-tuning.
Four or more years of experience architecting and deploying agentic AI systems for reasoning and interaction in complex workflows.
Four or more years of experience collaborating with cross-functional teams to integrate AI-driven enhancements into production systems.
Certified Analytics Professional (CAP) certification.
NVIDIA Deep Learning AI Certification.
Certified Data Scientist (CDS) certification.

Responsibilities

Design, develop, and deploy scalable, production-grade generative AI applications, LLM-powered solutions, and agentic AI systems for enterprise operations and customer service automation.
Architect and implement AI agents and multi-agent orchestration workflows using frameworks such as LangGraph, LangChain, or equivalent technologies.
Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, semantic search, and enterprise knowledge sources.
Build and integrate RESTful APIs, Model Context Protocol (MCP) connectors, and enterprise data services for secure AI interactions with internal and external systems.
Optimize AI performance through prompt engineering, model selection, retrieval optimization, fine-tuning, and efficient inference strategies.
Design and implement AI evaluation frameworks to measure accuracy, hallucination rates, reliability, latency, throughput, and cost efficiency.
Develop cloud-native AI solutions using Azure, AWS, or equivalent platforms, incorporating containerization, automated deployment, and scalable architectures.
Implement security, governance, and responsible AI practices, including authentication, authorization, data privacy, prompt-injection protection, and enterprise compliance.
Establish observability, logging, monitoring, and troubleshooting capabilities for production AI applications and agentic workflows.
Collaborate with engineering, architecture, product, cybersecurity, and business teams to integrate AI-driven enhancements into production systems.
Conduct technical design reviews, participate in code reviews, mentor engineers, and contribute to reusable engineering standards and best practices.
Research and evaluate emerging AI technologies, open-source frameworks, and industry advancements to identify opportunities for innovation and continuous improvement in customer service.
Perform other duties and projects as assigned by business management.

Benefits

Competitive base salary and compensation package.
Annual stock grant and employee stock purchase plan.
401(k) and access to free, year-round money coaches.
Annual bonus or periodic sales incentive or bonus, subject to role and eligibility.
Medical, dental, and vision insurance.
Flexible spending account.
Paid time off and up to 12 paid holidays.
Paid parental and family leave.
Family-building benefits, backup care, enhanced family support, and childcare subsidy.
Tuition assistance and college coaching.
Short- and long-term disability coverage.
Voluntary AD&D, accident, life, disability, and long-term care insurance.
Mobile service and home internet discounts for eligible employees.
Pet insurance for eligible employees.
Commuter and transit programs for eligible employees.