About The Position

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! Job Overview This role leads the design, architecture, and delivery of agentic AI platforms and scalable software systems that integrate Large Language Models (LLMs) into production-grade enterprise environments. It is responsible for building backend and microservices-based systems that orchestrate AI agents, APIs, data pipelines, and cloud-native infrastructure. The role ensures AI-driven capabilities are secure, observable, performant, and maintainable at scale. It applies advanced engineering judgment to resolve complex distributed systems challenges and define enterprise AI architecture standards. Success is measured by production reliability of AI systems, technical leadership impact, and the ability to influence enterprise AI strategy and implementation.

Requirements

  • Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
  • Acceptable areas of study include Computer Science or Engineering (Required)
  • 7-10 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

Responsibilities

  • Drive architecture and engineering delivery of agentic AI platforms, including LLM-integrated backend systems, microservices, APIs, and distributed cloud-native infrastructure to meet scalability, security, and reliability standards.
  • Provide technical leadership across AI initiatives by mentoring engineers, defining engineering standards for AI systems, and influencing architectural and technology decisions at the organizational level.
  • Define and evaluate AI platform strategies, including microservices architecture, model orchestration patterns, distributed systems design, and cloud deployment models aligned with business objectives.
  • Develop innovative AI-enabled software designs and improvements that enhance existing systems and processes
  • Produce clear architectural documentation for AI systems and distributed platforms.
  • Also responsible for other duties/projects as assigned by business management as needed

Benefits

  • 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.
  • 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.
  • 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.
  • eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!
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