Assoc Engineer, Software - Agentic AI Engineering - Network

T-Mobile•Bellevue, WA

7d•Onsite

About The Position

This role supports the design, development, and deployment of AI-powered software solutions that meet enterprise customer requirements and operate in scalable, highly available environments. As part of T-Mobile's Network Data & AI (ND&AI) team, the Associate Engineer builds and enhances agentic applications that automate critical engineering tasks across network prediction, performance analysis, simulation, and troubleshooting. The position combines hands-on software engineering — using technologies such as microservices, big data platforms, virtualization, software-defined networking, and network functions virtualization — with applied AI/agent development to turn complex network data into actionable insight. Working under close guidance on routine technical assignments, the engineer collaborates with a high-performing team and contributes to continuous improvement of systems and workflows. Success is measured by the ability to deliver functional, well-documented software that advances the team's automation and business-impact goals. You'll join an innovative and fast-moving Network AI team that has developed and patented agentic AI applications used by thousands of enterprise users. The group is known for its Quantum Apps suite — US-patented software delivering Network AI Agents plus Area, Device, and Customer Insights. It's a place where emerging AI innovations translate directly into multimillion-dollar business impact, where smart risks are encouraged, and where your work automates the critical tasks that keep T-Mobile's network performing and customers connected.

Requirements

Bachelor's Degree OR combination of education and experience deemed equivalent
Acceptable areas of study include Computer Science or Engineering
Less than 2 years Technical engineering experience.
Analytical Thinking
Analytics
Business Requirements Documentation (BRD)
Collaboration
Communication
Customer Service
Programming Languages
Software Development
Source Code Management
Technical Writing
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Less than 2 years of technical engineering experience. (Preferred)
Exposure to AI/ML concepts, agentic AI, or LLM-based application development. (Preferred)
Experience with big data platforms, microservices, or cloud-native development. (Preferred)

Responsibilities

Develop and implement software solutions to meet customer requirements and support scalable, highly available environments
Maintain clear and accurate documentation for software code, system designs, and business requirements
Collaborate with technical teams to deliver software solutions and communicate technical ideas effectively
Contribute to the understanding and application of current and emerging technologies to support business goals
Identify and share ideas for system analysis and continuous improvement of existing processes and services
Also responsible for other duties/projects as assigned by business management as needed
Develop agentic AI features that generate insights from proprietary network analytics tools and help visualize big data.
Build AI agents that automate cognitive tasks within network engineering workflows (prediction, performance analysis, simulation, and troubleshooting).
Optimize the performance, accuracy, and reliability of AI agents and workflows — one of the team's most challenging and highest-value focus areas.
Contribute to the Quantum Apps product suite and other patented tools used by thousands of enterprise users.
Support the team's objectives and key results (OKRs) around business impact, model accuracy, and system performance.
Explore and, where appropriate, help file patents based on innovative solutions developed by the team.
Design, develop, and implement AI-powered software solutions to meet customer requirements and support scalable, highly available environments
Optimize the performance and accuracy of AI agents and workflows
Collaborate with technical teams to deliver software solutions and communicate technical ideas effectively
Maintain clear and accurate documentation for software code, system designs, and business requirements
Contribute to the understanding and application of current and emerging technologies to support business goals
Identify and share ideas for system analysis and continuous improvement of existing processes and services