Teams at T-Mobile

Designs and deploys production-grade generative AI, LLM, and agentic systems for customer service automation. Responsibilities include multi-agent orchestration, RAG solutions, API and enterprise-tool integration, prompt engineering, model optimization, evaluation frameworks, cloud deployment, security, governance, observability, and reliability engineering. The role collaborates with engineering, product, cybersecurity, and business teams; conducts design and code reviews; mentors engineers; and researches emerging AI technologies.

Owns enterprise AI business intelligence and analytics, integrating data from cybersecurity, CMDB, ServiceNow, training, and AI platforms. Builds executive dashboards, portfolio health views, showback reporting, forecasts AI spending, automates data pipelines, applies A/B testing, and presents insights to senior leadership. The role also defines data models, reporting requirements, and dynamic row-level security for enterprise AI governance and adoption.

Owns the lifecycle of technical products within a data domain, including product vision, strategy, roadmap, requirements, backlog, release coordination, and production performance. Partners with engineering, architecture, governance, and business stakeholders to deliver data platform and AI-enabled products. Conducts customer and market research, drives adoption and enablement, resolves execution issues, and supports Agile and DevOps practices. The role requires substantial product management experience plus prior technical experience in software development, solution engineering, or technical architecture.