Senior Enterprise AI Engineer - LLM & RAG Platforms

Senior 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 through deployment and operational support – while partnering closely with product, engineering, and platform teams.

The 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.

• 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.

• 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.

• 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.

• Bachelor’s degree plus 3 years of related work experience, OR advanced degree with 1 year of related work experience, OR combination deemed equivalent…