Assoc Engineer, Software - Agentic AI Engineering - Network

• 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

• 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.

Preferred Experience:

• 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)

Required Knowledge, Skills and Abilities:

• 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

Pulled from the full job description

• Childcare
• Tuition reimbursement
• Pet insurance
• Paid parental leave
• Employee stock purchase plan
• AD&D insurance
• Parental leave, At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!, DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No

Base Pay Range: $66,900 - $120,600

Corporate Bonus Target: 10%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

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. What It's Like 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.