Sr Engineer, Enterprise AI
AI summary of the role
T-Mobile is hiring a Senior Engineer to design, build, and scale enterprise AI applications using LLMs, RAG, and agentic frameworks.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions.
- Build and optimize RAG pipelines, semantic search, and AI orchestration workflows integrated with enterprise platforms.
- Develop scalable integrations connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, and Atlassian.
- Apply strong software engineering principles across system design, CI/CD, observability, testing, and operational support.
What you’ll bring
- 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.
- Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications.
Technologies
LLM · RAG · LangGraph · LangChain · CrewAI · AutoGen · Semantic Kernel · Salesforce · ServiceNow · Snowflake · Databricks · GitLab
About T-Mobile
Third-largest US wireless carrier ('Un-carrier'), serving 100M+ customers with 5G mobile, home internet, and a fast-growing fiber broadband footprint.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! 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
More from the job description
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! 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 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 approa [... source excerpt omitted ...] ssian, 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 impr [... source excerpt omitted ...] tems, 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 pi
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