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T-Mobile Logo T-Mobile · IT - Software Development

Sr Engineer, Enterprise AI

United States, Bellevue Employment contract 133100.00 - 240100.00 USD / Year · Job Posted June 15, 2026
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Job Description

The 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 Responsibility

  • 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

Requirements

  • 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
  • Bachelor's Degree Bachelor’s degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have

  • Experience building Retrieval-Augmented Generation (RAG) pipelines, semantic search solutions, or vector database integrations
  • Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar technologies
  • Experience integrating AI solutions with enterprise systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, or Atlassian platforms
  • Experience with cloud platforms, containerization, CI/CD pipelines, observability, and production operations
  • Experience working with enterprise AI governance, security, compliance, or Human-in-the-Loop (HITL) workflows
  • Familiarity with AI-assisted development tools and coding agents such as Claude Code, GitHub Copilot, Codex, or similar technologies
  • Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science
  • 4-7 years Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning
  • 4-7 years Experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows
  • 4-7 years Experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems

What we offer

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Free year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • 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
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
  • Annual bonus or periodic sales incentive or bonus
  • Year-end bonus based on company and/or individual performance
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