# UL Solutions — AI Platform Lead

| Field | Value |
|---|---|
| **Date found** | 2026-05-22 |
| **Company** | UL Solutions |
| **Role** | AI Platform Lead |
| **Location** | Ireland — fully remote |
| **Salary** | Undisclosed for Ireland (Poland range: PLN 223k–298k gross ≈ €53–70k; Ireland likely higher) |
| **Job URL** | https://www.linkedin.com/jobs/view/4362260023/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Northbrook, Illinois, USA |
| **Founded** | 1894 |
| **Employees** | ~14,306; ~12,911 on LinkedIn |
| **LinkedIn** | https://www.linkedin.com/company/ulsolutions/ — 416k followers |
| **Website** | https://www.ul.com |
| **Blog** | https://www.ul.com/news/ |

- **Product:** Global testing, inspection, and certification (TIC) services plus software solutions for safety science; increasingly investing in AI-powered digital products.
- **Customers:** Manufacturers, product developers, enterprises across 110+ countries needing safety certification, cybersecurity testing, and compliance.
- **Notable:** NYSE-listed (ULS); founded 1894; 14K+ employees; $2.7B revenue; major enterprise transformation underway toward SaaS and AI capabilities.

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## Job Summary

**What they do:** UL Solutions is a global safety science company building enterprise AI capabilities across its platform and product suite.

**The role:** Senior technical architecture lead owning the enterprise AI platform and roadmap — defining standards, reference architectures, and guardrails for agentic and RAG systems used by internal engineering squads.

**Core work:**
- Define and own the enterprise AI platform architecture including agent orchestration, multi-agent coordination, RAG/Graph-RAG patterns, and responsible AI guardrails
- Provide architectural coaching to product squads and set technical direction for AI capabilities across the business
- Establish platform metrics (availability, latency, cost), quality standards, and production readiness for all AI workloads

**Stack:** Azure AI Foundry · Python (AI/ML side) · Agentic frameworks · RAG / Graph-RAG · Vector search · Kubernetes · CI/CD

**Work style:** Fully remote; valid for UK, Ireland, Spain, or Poland. Ireland is explicitly listed.

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## Score: 62%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 65% | Explicitly requires agentic frameworks, multi-agent architectures, agent orchestration and tool-use pattern design. Architecture-level, not always hands-on coding. |
| Tech fit (25%) | 40% | Azure-heavy (not AWS); agentic/RAG/vector search covered but LangGraph/LangChain not named. Less hands-on than Luca's profile. |
| Remote fit (25%) | 100% | Fully remote, Ireland explicitly eligible. |
| Company culture fit (15%) | 30% | Large enterprise (14K+), traditional safety testing company. Not AI-native. Slower decision-making culture likely. |
| IC/leadership balance (10%) | 65% | Hands-on architecture but heavy on coaching, standard-setting, and cross-org alignment. Less coding than ideal. |
| **Final (weighted)** | **62%** | Solid remote fit and agentic relevance; main risks are culture fit and Azure-only stack. |

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## Strengths

- Fully remote from Ireland — no location compromise
- Agentic architecture design is central to the role, not peripheral
- Strong IC ownership: defines the platform, not just follows it
- Luca's production agentic experience (Fenergo pipeline, multi-agent medical classification) directly relevant

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## Weaknesses & Risks

- ⚠️ Salary undisclosed for Ireland; Polish range suggests below-market compensation for Ireland — verify early
- Large traditional enterprise (130 years old) — culture likely slower, more process-heavy than ideal
- Azure-only stack (no AWS) — Luca's primary cloud is AWS; Azure upskill needed
- Role is more architecture/platform than hands-on delivery; less coding than ideal for Luca's profile
- 190 applicants have already clicked apply

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## Suggestions

- Clarify Ireland salary range before investing time — Polish rate suggests risk of being below €110k target
- Lead with enterprise AI platform design credentials (Fenergo's agent pipeline architecture) and cross-team technical influence
- Ask about hands-on vs. architecture split, and whether LangGraph/LangChain or Azure-native tooling is the expected stack

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Expired | 2026-06-04 | Posting removed — no longer accepting applications |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |