Senior AI Engineer — Remote/Hybrid, Scalable AI Solutions

UL Solutions

Ireland

Hybrid

EUR 110,000 - 170,000

Full time

14 days+

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Job summary

UL Solutions in Ireland is seeking a Senior AI Engineer to architect, deliver, and continuously improve production AI systems that drive business value. You will own multi-person initiatives, collaborate with product and platform teams, and translate complex needs into scalable AI solutions with measurable impact.

The role emphasizes advanced AI engineering, MLOps, cloud-native architectures on Azure, and strong leadership.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, or a related field.
5+ years of experience developing software, AI, machine learning, cloud, or data-driven solutions.
Strong Python software engineering experience using modern development practices.
Experience delivering scalable, secure, and maintainable software and AI solutions.
Experience building and deploying AI and machine learning solutions into production.
Experience with cloud platforms, preferably Microsoft Azure.
Experience with Azure DevOps, CI/CD, Infrastructure as Code (IaC), MLOps, and deployment automation.
Experience developing distributed systems, APIs, and enterprise integrations.
Experience with Docker, Kubernetes (K8s), and containerized application deployment.
Experience with LLMs, RAG, document intelligence, intelligent automation, or related AI technologies.
Strong understanding of software architecture, engineering best practices, and enterprise security considerations.
Strong analytical, problem-solving, communication, and collaboration skills.
Demonstrated ability to lead technical initiatives and work effectively in Agile environments.

Responsibilities

Lead design, delivery, and continuous improvement of scalable AI solutions, products, frameworks, and capabilities.
Translate business needs into production-ready AI systems and enterprise integrations with clear outcomes.
Develop and implement AI solutions using LLMs, RAG, agentic frameworks, document intelligence, ML, and data science techniques.
Evaluate and apply AI technologies to maximize business impact and maintainability.
Design, develop, and maintain scalable cloud-native applications with clean architecture and robust testing.
Define and evolve engineering standards, frameworks, and reference architectures; provide leadership on design decisions.