UL Solutions
Associate AI Engineer
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Job Description
The associate AI Engineer is responsible for delivering value through the delivery of AI solutions to core business functions. This role focuses on applying industry AI techniques, tools, and platforms to develop scalable, production-ready systems that solve real business problems.
As a highly collaborative and delivery-focused contributor, you will support the delivery of our AI initiatives, ensuring measurable impact while working closely with product, wider engineering teams, and business stakeholders. You will develop your technical capabilities as you deliver, applying strong ways of working and contributing to a culture of accountability, trust, and continuous improvement.
This role requires strong fundamental applied AI engineering skills across architecture, software engineering, and MLOps, combined with the ability to communicate effectively, learn continuously, and drive business-aligned outcomes.
Responsibilities
- Contribute to the delivery of AI-enabled features or tasks within defined initiatives with guidance, supporting measurable business value
- Deliver against defined acceptance criteria while balancing speed, quality, maintainability, and predictability
- Support backlog refinement to translate business problems into applied AI solutions
- Work within defined solution architecture aligned with scalability, security, and cost considerations
- Work with reference architectures, contributing reusable patterns and improvements
- Build and maintain CI/CD pipelines for AI services and supporting infrastructure
- Implement MLOps practices for training, deployment, monitoring, and lifecycle management
- Ensure solutions meet security, compliance, and operational requirements
- Contribute to designing and building production-ready AI systems using modern software engineering practices
- Develop clean, maintainable, and well-tested Python code following best practices (TDD, modularity, reuse)
- Apply industry solutions such as:
- Retrieval-Augmented Generation (RAG)
- Document intelligence / document-to-data pipelines
- Agentic workflow systems
- Integrate AI capabilities into scalable applications and enterprise systems
- Support structured experimentation and evaluation methods for AI systems
- Support the creation of production evaluation mechanisms to support A/B testing and equivalent
- Use metrics to validate performance, quality, and business impact
- Continuously improve solutions through feedback, monitoring, and iteration
- Clearly communicate technical concepts, trade-offs, and outcomes to both technical and non-technical stakeholders
- Participate in demos, design discussions, and cross-functional collaboration
- Frame work in terms of business value and measurable outcomes
- Actively contribute to a culture of trust, psychological safety, and accountability
- Collaborate effectively within squad and across teams to achieve shared outcomes
- Collaborate with senior team members to continuously grow your technical and soft skills
- Provide and seek constructive feedback to improve team performance
- Perform other duties as directed.
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Qualifications
- Bachelor’s degree in Data Analytics, Data Science, Computer Science, or related field (Master’s preferred).
- Foundational experience delivering production software or AI solutions in a team environment
- Strong fundamental Python programming skills with focus on production-quality code
- Exposure to:
- AI/ML systems (LLMs, NLP, or similar)
- APIs and system integration
- Cloud platforms (preferably Azure)
- Understanding of DevOps and CI/CD concepts such as IaC (experience preferred but not required)
- Understanding of evaluating AI and probabilistic systems through measurement-based experiments
- Familiarity with MLOps pipelines and model lifecycle management
- Understanding of scalable architecture for AI solutions
- Understanding of responsible AI, security, networking, and compliance considerations
- Strong collaboration and teamwork mindset, contributing to shared team success over individual output
- Clear and effective communication across diverse teams and stakeholders
- Strong collaboration and teamwork mindset, contributing to shared team success over individual output
- Proactive mindset with focus on continuous improvement and learning
- Ability to balance learning with delivery of assigned responsibilities
- Demonstrated accountability and ownership of commitments
- Adaptability and openness to change in a fast-evolving AI environment
- Strong capability to coordinate and communicate with colleagues across diverse geographic regions, cultures, and time zones.
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About Us
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
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