Principal AI & Data Engineer | Remote

About this role

Description:

US Signal is a leading data center services provider, offering secure, reliable network, cloud hosting, colocation, data protection, and disaster recovery services — all powered by its expansive, robust fiber network. US Signal also helps customers optimize their IT resources through the provision of managed services and professional services.

The *Principal AI & Data Engineer* owns the data architecture that makes AI work at enterprise scale — from semantic layer design and warehouse rationalization through production LLM deployments, RAG pipelines, and multi-agent automation. This is a principal-level IC role with real architectural ownership, not a support function. US Signal runs an expansive fiber and data center network across the Midwest. You'll work with real operational and customer data and build the systems that make it accessible and actionable across the business.

What you will own:

• Assess and rationalize the enterprise data warehouse; design and implement a governed semantic layer using dbt
• Design and deploy production LLM applications on the org's data fabric — prompt engineering, model integration, shipped systems
• Build text-to-SQL and natural language interfaces that let business users query operational data through conversational AI
• Architect RAG pipelines end-to-end: vector store design, chunking strategy, embedding model selection, internal and customer-facing deployment
• Engineer and orchestrate multi-agent systems for enterprise workflow automation, including framework selection and API integration

Requirements:

What you bring to the team:

• Deep proficiency with LLM frameworks (e.g., LangChain, LlamaIndex), agentic architectures, and RAG pipeline design, including vector databases, embedding models, and retrieval optimization.
• Strong Python fluency with practical experience across the modern data stack, including data warehousing platforms, orchestration tooling, and semantic layer frameworks such...