AI Platform Lead

Job Description

The AI Platform Lead owns the definition, creation, and ongoing management of ULS’s enterprise AI platform and roadmap; prioritizing platform reliability, security, governance, and scale; and ensuring solution teams can safely build, deploy, and operate AI capabilities across the full product lifecycle.

The AI Platform Lead will also collaborate and partner closely with strategic functions across the enterprise including Business Stakeholders, Cyber Security, Enterprise Architecture, Risk & Compliance, and strategic vendors to align platform capabilities to business needs, accelerate adoption, and keep UL at the forefront of responsible, enterprise‑scale AI.

This role is fully remote and may be based in any of the following countries, subject to valid work authorisation: United Kingdom, Ireland, Spain, or Poland.

Responsibilities

• The AI Platform Engineering Lead owns the definition, creation, and ongoing management of UL’s enterprise AI platform and roadmap; prioritizing platform reliability, security, governance, and scale; and ensuring solution teams can safely build, deploy, and operate AI capabilities across the full product lifecycle.
• The AI Platform Engineering Lead defines and owns standards, reference architectures, guardrails, and quality processes; provides architectural coaching to squads and mentoring to technical contributors; and is expected to set the technical direction of AI capabilities, informing our product strategies, and ensuring we drive enterprise innovation through AI.
• The AI Platform Engineering Lead collaborates and partners with strategic functions across the enterprise including Business Stakeholders, Cyber Security, Enterprise Architecture, Risk & Compliance, and strategic vendors to align platform capabilities to business needs, accelerate adoption, and keep UL at the forefront of responsible, enterprise‑scale AI.
• Provide architectural leadership for AI/ML systems including agentic workflows, RAG/Graph‑RAG pipelines, knowledge‑graph‑enhanced retrieval, and LLM‑powered applications while proactively staying current with emerging AI paradigms, architectural patterns, and platform technologies and guiding the organization through the shifts.
• Ensure the AI platform and tools meet enterprise‑grade expectations for compatibility, scalability, resilience, and global availability.
• Enable consistent scaling of AI capabilities across business units by defining consumable platform services, reusable patterns, onboarding pathways, and cross‑team integration practices that reduce duplication and accelerate adoption.
• Define the long‑term scaling model for the AI platform, ensuring headroom for growth through capacity planning, performance modelling, and cost‑efficient architectural strategies that anticipate future demand.
• Own, publish, and track platform metrics KPIs/SLAs/SLOs (availability, latency, success rates, cost per task/inference).
• Drive cross‑organizational alignment on standards around AI development and use by influencing teams to adopt reference architectures, security and Responsible AI guardrails, and consistent release and change‑management practices.
• Define and maintain AI platform architecture patterns, including agent orchestration, multi-agent coordination, tool‑use patterns, vector search design, and governance for generative and agentic systems.
• Ensure production‑ready delivery by setting the technical standards, architectural guardrails, and quality expectations; maintain oversight of technical quality across infrastructure, software, and AI components, including security, observability, operational readiness, cost management, and platform governance.
• Establish and enforce engineering quality and Responsible AI standards: architecture/design reviews, automated testing strategies, GenAI/LLM evaluation, bias/fairness, model governance, and secure SDLC for agentic/RAG/Graph‑RAG components.
• Drive operational excellence by guiding the team in implementing platform‑wide observability (metrics, dashboards, alerts) and capacity/cost guardrails while actively instilling an engineering mindset that values reliability, measurement, and continuous operational improvement.
• Mentor team members across AI/ML engineering, platform engineering, and full‑stack development, fostering growth in AI system design.
• Responsible for issue remediation within the team: define processes and ensure root‑cause analysis, verified remediation, and preventative actions are implemented and tracked to completion across AI services, retrieval pipelines, and platform components.
• Define and own a cohesive lifecycle strategy for AI‑ and agentic‑first solutions—continuous evaluation (automated and human‑in‑the‑loop), feedback loops, scheduled/triggered retraining, and where appropriate reinforcement learning from human/AI feedback—so systems remain accurate, safe, and cost‑effective over time.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related field (Master’s preferred), with current cloud architecture technical competence certificate.
• Extensive experience leading architecture for AI/ML-driven systems and defining technical strategies and roadmaps.
• Deep understanding of modern AI patterns, including (but not limited to) Agentic frameworks and multi‑agent architectures; Retrieval‑augmented generation (RAG) and Graph‑RAG; Vector search, embeddings, and retrieval; Safety, evaluation, and guardrails.
• Experience with application architecture patterns for delivering AI based solutions and AI system design including feature stores, model registries, memory systems for agents, etc.
• Strong knowledge of Azure cloud architecture, including identity/security, networking, containers/Kubernetes, platform governance, observability, and CI/CD.
• Experience with Azure capabilities supporting delivery of AI applications, specifically AI Foundry, but also all compute, storage, messaging, and networking resources.
• Proven ability to define engineering standards, lead architecture reviews, and drive adoption of scalable, secure platform and AI patterns.
• Experience with Agile development practices, including iterative delivery, cross‑functional collaboration, and adaptive planning.
• Excellent communication, stakeholder collaboration, leadership, and mentoring skills with a track record of enabling high‑performing technical teams.

Total Rewards: We understand that rewards are an important consideration as you plan the next step in your career. Salary range varies by location and local market conditions - for Poland the starting salary for this position is 223.300-297.700 PLN gross and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, and other factors. This position is eligible for an annual bonus with a target payout of 20% of base salary. You’ll also enjoy annual paid leave, access to our ULS University to support continuous learning and career growth, two volunteering days each year to participate in community activities, and flexible working arrangements designed to help you balance work and life.

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 centre of safety. To learn more about us and the work we do, visit UL.com

LI-SG1

LI-Remote