Manager - AI Engineering [T500-27957]

About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS) is America’s supercharged Un-carrier, powered by an award-winning 5G network that connects more people in more places than ever before. With its unique value proposition of best network, best value, and best experiences, T-Mobile is redefining connectivity, fueling competition, and driving the next wave of innovation in wireless and beyond. Headquartered in Bellevue, Washington, T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile, Metro by T-Mobile, and Mint Mobile.

TMUS Global Solutions:

TMUS Global Solutions is a world-class technology organization accelerating T-Mobile’s global digital transformation. Our teams combine engineering talent, technology expertise, and collaborative ways of working to build secure, scalable solutions that improve customer and employee experiences. We foster innovation, agility, transparency, and strong enterprise partnerships to deliver measurable business outcomes.

About the Role:

• The Manager, Software Engineering – AI Platform Engineering leads T-Mobile’s offshore engineering team responsible for delivering AI Platform & Agent Systems Engineering and Platform & Reliability Engineering capabilities. This team includes AI Platform Engineers, Platform & Reliability Engineers, and a Senior Product Owner working closely with onshore engineering, architecture, product, AI/ML, and platform teams.
• This is a hands-on engineering leadership role responsible for engineering execution, production reliability, delivery predictability, talent development, and operational excellence across AI platform services supporting conversational AI, agentic AI, enterprise integrations, and cloud-native platform capabilities.
• The manager partners with onshore engineering leaders to execute platform roadmaps, improve engineering practices, and ensure reliable operation of production AI services. Success is measured through engineering quality, platform reliability, predictable delivery, operational excellence, engineering capability growth, and effective collaboration across globally distributed teams.

What This Role Owns:

Decision rights are explicit so this role is a leader and not a coordinator. The manager owns day-to-day delivery and production decisions for team-owned services within architectural and roadmap guardrails; prioritization execution through the Senior Product Owner; hiring, performance management, and capability development for the engineering team; on-call ownership and incident response for the team’s coverage window; and operational tradeoffs involving reliability, feature velocity, platform sustainability, and cost. The manager also serves as the primary distributed team leadership interface with architecture, product, and platform teams.

Key Responsibilities:

• Lead, coach, and develop a distributed software engineering team comprising AI Software Engineers, AI Systems Engineers, and a Senior Product Owner.
• Drive predictable delivery of consumer AI platform capabilities, platform engineering initiatives, and reliability improvements in partnership with onshore engineering and product teams.
• Partner with onshore architects, engineering managers, and product managers to execute roadmap priorities and ensure alignment across distributed teams.
• Support delivery of reusable AI platform capabilities including agent orchestration services, conversational platforms, SDKs, Model Context Protocol (MCP)-enabled integrations, and AI runtime services.
• Foster engineering excellence through software development best practices, code quality, automated testing, CI/CD, and operational discipline.
• Ensure reliability, availability, observability, and operational readiness of production AI platform services.
• Lead hiring, performance management, mentoring, and career development while building a collaborative, high-performing engineering culture.
• Drive incident management, root cause analysis, and continuous improvement initiatives to enhance platform reliability and operational excellence.
• Ensure compliance with security, governance, and software engineering standards while optimizing cloud resources and platform costs.
• Communicate delivery progress, risks, dependencies, and engineering priorities to stakeholders across the organization.

What You’ll Bring:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a rela…