Associate AI Engineer

T-Mobile

Closes in 3 days

Quick summary

Work type
On-site
Location
Overland Park, KSBellevue, WA
Salary
$80,900–$146,100 / yr
Posted
5 days ago
Closes
Jun 19, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k
This role $114k
$61k most similar roles pay here $266k

This role pays less than 99% of similar roles. Most pay $166,602–$246,150 — the shaded band above. At the midpoint, this role pays about $114k versus about $206k 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 · Associate AI Engineer

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Join our dynamic team as an Associate AI Engineer and help advance T-Mobile’s Agentic Next Best Action (ANBA) capabilities by designing and optimizing agentic AI systems that enhance real-time decision-making for customer interactions. You will leverage prompt engineering, fine-tuning, RAG, and tool-integrated reasoning to build intelligent workflows and APIs, ensuring seamless, personalized experiences. Collaborate with cross-functional teams to embed ANBA-driven intelligence into production systems, improving customer satisfaction and business outcomes. Essential skills include data analysis, problem-solving, collaboration, cloud computing expertise, and proficiency in prompt engineering for generative AI models. Experience in developing and optimizing AI models for customer service automation is preferred.

Skills

AWS Azure Google Cloud Python RAG APIs prompt engineering fine-tuning data modeling Cloud Computing CI/CD

What you'll do

  • Apply prompt engineering techniques to enhance AI model performance for customer service automation.
  • Integrate AI-driven enhancements into production systems with cross-functional teams.
  • Develop and optimize AI models to meet operational goals in customer interactions.
  • Ensure the reliability, accuracy, and efficiency of AI applications in customer service operations.
  • Fine-tune AI models to improve user satisfaction and system performance.

What we're looking for

  • Strong data analysis and interpretation skills to enhance AI model performance
  • Expertise in prompt engineering for generative AI and large language models
  • Proficient in cloud computing platforms for AI solution deployment
  • Ability to collaborate effectively with cross-functional teams on AI projects
  • Experience in developing, fine-tuning, and optimizing AI models
  • Knowledge of data modeling concepts and techniques for AI applications
  • Problem-solving skills to troubleshoot and optimize AI systems

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