About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its solid nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That means that any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions will never seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) before candidate accepts a formal offer.

About the Role:

This role leads and manages the Enterprise AI Engineering team responsible for designing, building, deploying, and scaling advanced AI systems, autonomous agents, and intelligent automation platforms across T – Mobile’s enterprise ecosystem.

The Sr

Manager over sees a multi – level engineering team comprising AI Engineers, Senior Engineers, and Principal Engineers, driving execution of the AI engineering roadmap while cultivating a high – performing, innovative engineering culture. This individual partners with Product Management, Architecture, Data Science,



and business stakeholders to translate AI strategy into delivered capabilities — including agentic AI workflows, multi – agent orchestration systems, RAG pipelines, and enterprise platform integrations . The Manager owns team delivery across the full AI lifecycle from experimentation and prototyping through production deployment and continuous optimization, establishing engineering standards, governance frameworks, and operational excellence practices. This role is accountable for headcount planning, talent development, performance management, vendor coordination, and team collaboration to ensure T – Mobile’s AI engineering capabilities remain best – in – class.

We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!

What You’ll Do:

- Drive improvements in development practices, including team structure, processes, tooling, security, and compliance to enhance efficiency 20 % Own end – to – end delivery of enterprise AI initiatives including agentic AI systems, multi – agent orchestration platforms, RAG pipelines, and LLM – based solutions, managing execution roadmaps, sprint planning, risk mitigation, and cross – team dependencies.
- Partner with Product Management, Architecture, and business stakeholders to define AI engineering priorities, translate complex business requirements into technical initiatives, and ensure alignment between team output and enterprise AI strategy and ROI targets.
- Coordinate and manage offshore scrum teams and vendor/contractor relationships, overseeing distributed delivery models, knowledge transfer,



and ensuring consistent engineering quality and velocity across onshore and offshore resources.
- Partner with Product Management, Architecture, and business stakeholders to define AI engineering priorities, translate complex business requirements into technical initiatives, and ensure alignment between team output and enterprise AI strategy and ROI targets.

What You’ll Bring:

- Bachelor's Degree plus 5 years of related work experience or Advanced degree with 3 years of related experience
- Technical understanding of LLM architectures, agentic AI systems, multi – agent orchestration, RAG pipelines, prompt engineering, fine – tuning, and applied GenAI — sufficient to guide architectural decisions, evaluate technical trade – offs, and conduct meaningful design reviews.
- in Agile/Scrum delivery management, including sprint planning, backlog prioritization, capacity planning, velocity tracking, and managing execution across distributed onshore/offshore teams.
- of enterprise platform ecosystems and how AI solutions integrate via MCP connectors, API gateways, and secure integration patterns within regulated environments.
- education, experience, and skills required or preferred to perform the essential functions of the job. Stakeholder Management Excellent communication and influencing skills to partner effectively with senior leadership, product management, architecture, data science, and business stakeholders
- to define team roadmaps, set OKRs/KPIs tied to business outcomes (ROI, adoption, productivity), manage headcount planning and budgets, and align team priorities with enterprise AI strategy.

Must Have Skills:

- Core platform technologies as specified in this role.

Nice-to-Have:

- Certifications: What type of professional credentials are required or preferred to be successful in this job License/Certification Details Required Preferred ADDITIONAL GENERAL OR PHYSICAL REQUIREMENT.

📌 Manager, Software Engineering-28555] (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad