Sr Software Engineer, Agentic AI

T-MobileFrisco, WA
Onsite

About The Position

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.

Requirements

  • 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)
  • Communication (Required)
  • Customer Service (Required)
  • Analytics (Required)
  • Technical Writing (Required)
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice To Haves

  • 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.

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

Benefits

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • 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
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
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