Sr Engineer, Enterprise AI

Job Overview 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 to deployment and operational support—while partnering closely with product, engineering, and platform teams. 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 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. Education and Work Experience Requirements Bachelor’s Degree plus three years of related work experience or an advanced degree with one year of related work experience; combinations of education and experience deemed equivalent. Preferred majors: Computer Science, Artificial Intelligence, Data Science, or related field. 4‑7 years of experience in developing and optimizing AI models for customer service automation, architecting sophisticated agentic AI systems, and integrating AI‑driven enhancements into production systems. At least 18 years of age and legally authorized to work in the United States. Travel No travel required. DOT Regulated / Safety Sensitive Position is not DOT regulated and not safety sensitive. Compensation Base Pay: $133,100 – $240,100 per year. Corporate bonus target: 15% of eligible earnings. Actual pay will vary based on location, qualifications, and experience. Benefits Employees receive a comprehensive benefits package that includes medical, dental, and vision insurance; a flexible spending account; 401(k) with company match; employee stock grants and purchase plan; paid time off and holidays; parental and family leave; tuition assistance; and access to mobile service & home internet discounts, pet insurance, and commuter programs. Equal Opportunity T‑Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Accommodations Talent comes in all forms at the Un‑carrier. If you are an individual with a disability and need a reasonable accommodation at any point in the application or interview process, please let us know by emailing View email address on click.appcast.io or calling View phone number on click.appcast.io. This contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests. #J-18808-Ljbffr T-MOBILE USA, Inc.