Sr Engineer, Enterprise AI

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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 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, Service Now, Snowflake, Databricks, Git Lab, 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 Lang Graph, Lang Chain, CrewAI, Auto Gen, Semantic Kernel, or similar technologies.

* Experience integrating AI solutions with enterprise systems such as Salesforce, Service Now, Snowflake, Databricks, Git Lab, 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, Git Hub Copilot, Codex, or similar technologies.

Education and

Work Experience:

* 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 (Required)

* Acceptable areas of study include Computer Science, Artificial Intelligence, or Related Field

Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science (Preferred)

* 4-7 years Experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt…