Senior AI Engineer

T-Mobile

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Salary
$153,065–$276,115 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $215k
$126k $292k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $148,875–$223,450 — the blue band above. At the midpoint, this role pays about $215k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 79 open roles on FindRole.

Listed pay typically runs $134,455–$223,712 across 36 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Senior AI Engineer

JOB TITLE: Sr AI Engineer The Sr AI Engineer will join the team to architect and optimize agentic AI systems that drive the evolution of customer service. You will design, develop, and deploy scalable, production-grade Generative AI applications and LLM-powered solutions to automate enterprise business operations. Daily responsibilities include building Retrieval-Augmented Generation (RAG) solutions, implementing multi-agent orchestration workflows, and integrating RESTful APIs and Model Context Protocol connectors. You will utilize Python, LangGraph, LangChain, and vector databases while leveraging Azure, AWS, or Google Cloud for cloud-native deployment. Key tasks involve prompt engineering, model fine-tuning, and establishing evaluation frameworks to measure accuracy and latency. This role solves the technical challenge of creating reliable, fault-tolerant AI interactions that support millions of real-world customer conversations across the enterprise.

What does a AI Engineer earn?

Median $211200 from 150 postings across 43 companies.

See salary data

What you'll do

  • Design and deploy scalable production-grade Generative AI applications and agentic AI systems for customer service automation.
  • Architect multi-agent orchestration workflows using frameworks like LangGraph or LangChain.
  • Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search.
  • Build and integrate RESTful APIs and Model Context Protocol connectors with enterprise data services.
  • Optimize AI performance through prompt engineering, model fine-tuning, and efficient inference strategies.
  • Implement AI evaluation frameworks to measure accuracy, hallucination rates, latency, and cost efficiency.
  • Deploy cloud-native AI solutions using Azure or AWS with containerization and automated deployment.
  • Establish security, governance, and responsible AI practices including data privacy and prompt injection protection.

What we're looking for

  • Must be at least 18 years of age and legally authorized to work in the United States.
  • Bachelor's degree plus related work experience or an advanced degree with related work experience.
  • Strong proficiency in Python, software engineering principles, and object-oriented programming.
  • Experience designing and integrating RESTful APIs using frameworks such as FastAPI.
  • Hands-on experience building LLM applications using prompt engineering, fine-tuning, and tool integration.
  • Experience developing AI agents and orchestration workflows using LangGraph, LangChain, or similar frameworks.
  • Experience developing and deploying cloud-native AI solutions on Azure, AWS, or Google Cloud.
  • Knowledge of RAG, embeddings, vector databases, and AI evaluation frameworks (preferred).

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