Senior AI Engineer: Scalable AI & MLOps Leader

UL Solutions; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus (target 10%)

ULS University

Two volunteering days per year

Flexible working arrangements

Descripción de la vacante

UL Solutions is seeking a Senior AI Engineer to lead the design, delivery, and continuous improvement of scalable AI solutions that empower business capabilities. You will own multi-person initiatives, translate business needs into production-ready AI systems, and mentor others while collaborating with product and engineering teams.

The role emphasizes architecture, experimentation, and secure, observable production environments across Azure-based platforms.

Formación

• 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 designing and 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.

Responsabilidades

• Lead the design, delivery, and continuous improvement of scalable AI solutions, products, frameworks, and capabilities that deliver measurable business value.
• Translate business needs into production-ready AI systems and enterprise integrations with clear outcomes and success metrics.
• Develop and implement AI solutions using LLMs, RAG, agentic frameworks, document intelligence, machine learning, and data science techniques.
• Evaluate and apply appropriate AI technologies, patterns, and tools to maximize business impact and maintainability.
• Design, develop, and maintain scalable, cloud-native, and enterprise-grade applications using modern software engineering practices, clean architecture, reusable design patterns, and comprehensive testing.
• Define and evolve engineering standards, frameworks, and reference architectures while providing technical leadership on solution design, architecture decisions, and engineering best practices.
• Design, deploy, and operate scalable AI platforms and solutions on Azure using modern DevOps and MLOps practices, including CI/CD, Infrastructure as Code (IaC), containerization, automation, and cloud-native architectures.
• Manage the full lifecycle of AI applications, platforms, and models, including deployment, monitoring, observability, performance optimization, reliability, release management, and operational support.
• Implement and maintain secure, resilient, and observable production environments through monitoring, logging, alerting, governance, and infrastructure best practices.
• Design and execute testing, evaluation, and experimentation strategies to validate solution effectiveness and business value.
• Continuously improve AI solutions through performance measurement, monitoring, feedback, and iterative optimization.
• Ensure AI solutions adhere to security, privacy, governance, compliance, operational, and Responsible AI requirements.
• Design solutions that are secure, reliable, scalable, and aligned with enterprise standards.
• Collaborate with product, engineering, platform, and business teams to deliver AI solutions aligned with organizational objectives and measurable business outcomes.
• Communicate technical concepts effectively, provide technical leadership and mentorship, and influence solution direction through collaboration and engineering best practices.
• Demonstrate strong ownership, accountability, adaptability, and commitment to UL Solutions Ways of Working while fostering a culture of trust, innovation, continuous learning, and continuous improvement.

Conocimientos

Python

Distributed systems

Agile environments

Communication

Mentorship

Educación

Bachelor’s degree in Computer Science

Master’s degree

Herramientas

Azure

Azure DevOps

CI/CD

IaC

Docker

Kubernetes

LLMs

RAG

Descripción del empleo

UL Solutions is seeking a Senior AI Engineer to lead the design, delivery, and continuous improvement of scalable AI solutions that empower business capabilities. You will own multi-person initiatives, translate business needs into production-ready AI systems, and mentor others while collaborating with product and engineering teams.

The role emphasizes architecture, experimentation, and secure, observable production environments across Azure-based platforms.