Sr Software Engineer, Agentic AI

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Job Overview
This role is critical in designing, building, and scaling the core execution engine that powers T-Mobile’s agentic AI experiences across mobile apps, web platforms, and customer support channels—including both text and voice interactions. You will architect and implement software systems that enable AI-driven decisioning, orchestration, and dynamic customer engagement at massive scale.

Working closely with AI/ML engineers, platform engineers, and product teams, you will create reliable, high-performance components that allow our agentic AI to plan, act, and respond intelligently in real time across conversational modalities. This includes developing microservices, workflow engines, and integration layers that connect large language model (LLM) reasoning with network, billing, account, and support systems.

The role requires deep technical judgment to solve complex system design challenges, ensure model outputs translate into safe and correct actions, and deliver a platform capable of extremely high availability. Success is measured by the ability to deliver robust, extensible AI execution capabilities that elevate customer journeys and enable T-Mobile to deliver personalized, automated, and intuitive experiences—whether through text or voice—at scale.

Job Responsibilities:

• Develop software solutions and conduct tests to drive engineering projects and ensure quality deliverables

• Contribute to design innovations that improve systems, processes, or services using new frameworks and industry best practices

• Collaborate with technical teams to deliver solutions and mentor others through knowledge sharing and training sessions

• Support technology strategy by evaluating and applying current technologies that align with business goals

• Create clear documentation for software code, system designs, and business requirements to support knowledge sharing

• Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience:

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)

• Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field (Required)

• 4-7 years Technical engineering experience. (Required)

Preferred Experience:

• 4+ years - Fluency in either Python or Java, with working proficiency in the other.

• 1+ year - Hands-on experience deploying and operating services using Docker and Kubernetes.

• 1+ year - Proficiency leveraging LLMs to accelerate coding and problem-solving.

Knowledge, Skills and Abilities:

• Communication (Required)

• Customer Service (Required)

• Analytics (Required)

• Technical Writing (Required)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): Yes

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
 

Base Pay Range: $113,600 - $205,000

Corporate Bonus Target: 15%

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ350780&paradox=1

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