Sr Engineer, Enterprise AI

T-Mobile

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Salary
$133,100–$240,100 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $187k
$119k most similar roles pay here $262k

This role pays less than 63% of similar roles. Most pay $164,831–$245,617 — the shaded band above. At the midpoint, this role pays about $187k versus about $205k 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 26 open roles on FindRole.

Listed pay typically runs $113,600–$189,600 across 25 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Sr Engineer, Enterprise AI

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The Senior Engineer, Enterprise AI at T-Mobile designs and builds scalable AI solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enhance enterprise productivity. This role involves developing semantic search capabilities, integrating AI with systems like Salesforce and Snowflake, and supporting the full software development lifecycle from prototyping to deployment. The ideal candidate has 4-7 years of experience in building AI-enabled applications and collaborating across engineering teams to deliver secure, reliable solutions. Proficiency in modern AI frameworks, cloud platforms, and CI/CD pipelines is essential, along with a strong background in software engineering principles and continuous learning in rapidly evolving technologies.

Skills

Python Java LLMs RAG LangChain Docker CI/CD Snowflake Salesforce ServiceNow GitLab Atlassian Cloud Platforms Containerization Observability Vector Databases Semantic Search Agentic AI AI Governance HITL Workflows Claude Code GitHub Copilot

What you'll do

  • Design and develop AI-powered applications to enhance employee productivity and operational efficiency.
  • Build and optimize RAG pipelines and semantic search capabilities for enterprise platforms.
  • Develop scalable integrations between AI solutions and enterprise systems like Salesforce and ServiceNow.
  • Apply software engineering principles throughout the development lifecycle, from design to deployment.
  • Evaluate and implement emerging AI technologies to improve platform capabilities and effectiveness.
  • Contribute to AI governance, security, and compliance standards in production environments.

What we're looking for

  • 4-7 years of experience in software engineering or AI/ML engineering.
  • Strong background in building and deploying scalable enterprise applications.
  • Experience developing AI-enabled applications using modern frameworks and tools.
  • Proficiency in designing distributed systems and integrating with enterprise platforms.
  • Collaborative skills to work cross-functionally across multiple teams.
  • Familiarity with cloud platforms, CI/CD pipelines, and production operations.

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