Principal AI Platform Engineer

UL SolutionsRollingwood, TX
$155,000 - $220,000

About The Position

The Principal AI Platform Engineer is a technical leader responsible for defining and driving the architecture, strategy, and execution of AI platform capabilities across the ULTRUS platform and broader UL Solutions product portfolio. This role owns the design and evolution of core AI platform services, including scalable RAG (Retrieval-Augmented Generation) pipelines, advanced multi-agent orchestration frameworks, and enterprise-grade APIs and microservices. Operating with significant autonomy, this individual ensures the platform meets the highest standards of scalability, reliability, security, and cost-efficiency, while enabling rapid adoption of AI across products. They guide cross-team engineering efforts, establish best practices for agentic AI systems and LLM integration, and influence long-term platform direction. In addition to hands-on architecture and development, the Principal Engineer mentors senior engineers, drives technical excellence, and partners with product and leadership teams to translate business priorities into robust, production-ready AI platform capabilities.

Requirements

  • Technical leadership in AI platform capabilities.
  • Experience with scalable RAG pipelines.
  • Experience with advanced multi-agent orchestration frameworks.
  • Experience with enterprise-grade APIs and microservices.
  • Ability to ensure scalability, reliability, security, and cost-efficiency.
  • Experience guiding cross-team engineering efforts.
  • Experience establishing best practices for agentic AI systems and LLM integration.
  • Experience mentoring senior engineers.
  • Experience driving technical excellence.
  • Experience partnering with product and leadership teams.

Responsibilities

  • Defining and driving the architecture, strategy, and execution of AI platform capabilities.
  • Owning the design and evolution of core AI platform services, including scalable RAG pipelines, advanced multi-agent orchestration frameworks, and enterprise-grade APIs and microservices.
  • Ensuring the platform meets the highest standards of scalability, reliability, security, and cost-efficiency.
  • Enabling rapid adoption of AI across products.
  • Guiding cross-team engineering efforts.
  • Establishing best practices for agentic AI systems and LLM integration.
  • Influencing long-term platform direction.
  • Mentoring senior engineers.
  • Driving technical excellence.
  • Partnering with product and leadership teams to translate business priorities into robust, production-ready AI platform capabilities.
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