Sr Engineer, Enterprise AI
T-Mobile USA, Inc.About the role
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Job OverviewThe Senior Engineer, Enterprise AI helps design, build, and scale AI-powered applications and platforms that improve productivity and intelligent decision-making across T-Mobile’s enterprise environment. This role focuses on developing enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks integrated with internal systems and workflows. The engineer will work across the full software development lifecycle — from architecture and prototyping through deployment and operational support — while partnering closely with product, engineering, and platform teams. This role requires strong software engineering fundamentals combined with hands-on experience building and integrating AI-enabled applications in production environments. The ideal candidate is highly curious, adaptable, and comfortable working in a fast-moving AI ecosystem where technologies and approaches evolve rapidly.
Job Responsibilities:
Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources.
Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms.
Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments.
Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support.
Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows.
Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments.
Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness.
Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team.
Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success.
Required Experience:
4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development.
Experience building and deploying scalable software applications or platforms in enterprise environments.
Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools.
Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications.
Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions.
Preferred Experience:
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