Senior AI Engineer: Agentic AI for Customer Experience

T-MOBILE USA, Inc.; Factoria (WA); On-site; USD 133,000 - 240,000; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k)

Money coaches

Job summary

T-Mobile USA, Inc. is seeking a Senior AI Engineer to architect and optimize agentic AI systems for the next-generation customer experience.

You will design AI that coordinates across models, internal APIs, and third-party tools to deliver reliable, production-grade workflows and intuitive customer interactions. Responsibilities include scalable AI app development, multi-agent orchestration, RAG solutions, API integrations, and performance optimization.

Qualifications

• Bachelor's degree plus 5 years of related work experience.
• Or advanced degree with 3 years of related work experience.
• Strong Python and OO programming skills with modern software practices.

Responsibilities

• Design, develop, and deploy scalable, production-grade Generative AI applications and agentic AI systems.
• Architect multi-agent orchestration workflows using LangGraph or LangChain.
• Develop Retrieval-Augmented Generation solutions leveraging embeddings and semantic search.
• Build and integrate RESTful APIs and MCP connectors for secure AI interactions.
• Optimize AI performance with prompt engineering, fine-tuning, and efficient inference.

Skills

Python

API Development

Generative AI and LLMs

Agentic AI

RAG and Data Management

Cloud Computing

Software Engineering

System Architecture

Data Analysis and Modeling

AI Evaluation

Collaboration

Education

Bachelor's Degree in Computer Science

Advanced degree in CS/AI/Data Science

Tools

Docker

Kubernetes

LangGraph

LangChain

RESTful APIs

FastAPI

Job description

T-Mobile USA, Inc. is seeking a Senior AI Engineer to architect and optimize agentic AI systems for the next-generation customer experience.

You will design AI that coordinates across models, internal APIs, and third-party tools to deliver reliable, production-grade workflows and intuitive customer interactions. Responsibilities include scalable AI app development, multi-agent orchestration, RAG solutions, API integrations, and performance optimization.