UL

Principal AI Platform Engineer

UL$155K — $220K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in software engineering with strong distributed systems/SaaS platform experience
  • 4+ years building production AI/ML or LLM-based systems (RAG, APIs, agents, or ML services)
  • Deep experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Azure ML, AKS, AI Search)
  • Strong hands-on expertise in AI frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
  • Proven ability to design scalable AI platforms, APIs, and microservices architectures
  • Experience with Kubernetes, Docker, CI/CD, and production observability practices
  • Demonstrated technical leadership, mentoring, and cross-team architectural influence

Responsibilities

  • Define and drive the AI platform architecture and technical strategy across ULTRUS and broader product portfolio
  • Design and evolve core AI platform services (RAG, agentic workflows, APIs, orchestration frameworks) for enterprise-scale use
  • Establish standardized patterns for LLM integration, model routing, and AI service consumption across teams
  • Lead the design of scalable RAG and knowledge retrieval systems
  • Own platform-level decisions on infrastructure for performance, cost, and security
  • Define and implement AI observability, evaluation, and guardrails
  • Provide technical leadership and mentorship across teams; drive architecture reviews and engineering standards
  • Partner with product and leadership to translate business priorities into reusable AI platform capabilities

Benefits

  • Health benefits including medical, dental, and vision
  • Wellness benefits for mental and financial health
  • 401K retirement savings plan
  • 15 days of vacation and 12 days of holidays, plus sick time off
  • Annual bonus compensation with a target payout of 20% of base salary
Full Job Description
Job Description

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.

Responsibilities

  • Define and drive the AI platform architecture and technical strategy across ULTRUS and broader product portfolio
  • Design and evolve core AI platform services (RAG, agentic workflows, APIs, orchestration frameworks) for enterprise-scale use
  • Establish standardized patterns for LLM integration, model routing, and AI service consumption across teams
  • Lead design of scalable RAG and knowledge retrieval systems, including ingestion, embeddings, and retrieval optimization
  • Own platform-level decisions on infrastructure (Azure, AKS, vector DBs, CI/CD, observability) for performance, cost, and security
  • Define and implement AI observability, evaluation, and guardrails (latency, quality, drift, safety, cost)
  • Provide technical leadership and mentorship across teams; drive architecture reviews and engineering standards
  • Partner with product and leadership to translate business priorities into reusable AI platform capabilities


Qualifications

  • 10+ years in software engineering with strong distributed systems / SaaS platform experience
  • 4+ years building production AI/ML or LLM-based systems (RAG, APIs, agents, or ML services)
  • Deep experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Azure ML, AKS, AI Search)
  • Strong hands-on expertise in AI frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
  • Proven ability to design scalable AI platforms, APIs, and microservices architectures
  • Strong understanding of RAG systems, retrieval optimization, and LLM limitations (hallucination, safety, evaluation)
  • Experience with Kubernetes, Docker, CI/CD, and production observability practices
  • Demonstrated technical leadership, mentoring, and cross-team architectural influence
  • Familiarity with AI governance, responsible AI, and enterprise compliance environments

What you'll experience working for ULS

UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.

That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.

This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.

Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.

Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits.

Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com

Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000 to $220,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).

#LI-SG2

#LI-Hybrid

About UL

UL is a global safety certification company headquartered in Northbrook, Illinois. It was founded in 1894 and has been providing safety testing, inspection, and certification services for over 125 years. UL operates in over 100 countries and has more than 14,000 employees worldwide. The company's mission is to promote safe living and working environments by advancing safety science. UL's services cover a wide range of industries, including consumer products, industrial equipment, building materials, and more.
Learn more about UL
Size
14,700 employees
Industry
Founded
1900

Similar Jobs

More Jobs at UL

More Enterprise Technology Jobs

Find similar Principal AI Platform Engineer jobs: