As the largest pureplay adhesives company in the world, H.B. Fuller’s (NYSE: FUL) innovative, functional coatings, adhesives and sealants enhance the quality, safety and performance of products people use every day. Founded in 1887, with 2024 revenue of $3.6 billion, our mission to Connect What Matters is brought to life by more than 7,500 global team members who collaborate with customers across more than 30 market segments in over 140 countries to develop highly specified solutions that enable customers to bring world-changing innovations to their end markets. Learn more at www.hbfuller.com.

Position Overview

Reporting to the Intelligent Automation Manager, the Senior AI Engineer will be responsible for the development, deployment and maintenance of Artificial Intelligence (AI) and Machine Learning (ML) solutions on the Microsoft Azure platform.
This person will design, develop and deploy scalable, secure, and high-performing AI & ML solutions that drive digital transformation, process optimization and business value across H.B. Fuller.
This role acts as a coordination point with Data Engineers, Enterprise Architects, IT Security and infrastructure teams, ensuring that AI & ML solutions are seamlessly integrated into H.B. Fuller technology landscape.

Primary Duties

Governance 

• Collaborate with internal IT, Data, and Digitalization teams to align AI initiatives with enterprise architecture.

• Coordinate with Enterprise Architects, IT Security and Infrastructure teams to ensure all AI & ML solutions are scalable, secure and compliant.

• Provide technical guidance and act as the escalation point for complex technical challenges on AI & ML solutions.

• Support internal and external partners in understanding and adopting AI & ML solutions through documentation, demonstrations and training.

Development & Delivery

• Design, develop and maintain AI & ML solutions across business functions, using the Microsoft Azure platform.

• Build and deploy Generative AI applications using Azure AI Foundry and Azure OpenAI.

• Integrate Azure Cognitive Services (vision, speech, language, AI Search) to accelerate intelligent solution development.

• Collaborate with Data Engineers and Solution Architects to ensure reliable, well-prepared data pipelines and translate high-level AI architecture into executable components.

• Design and integrate API-based frameworks to embed AI & ML models into enterprise applications and automation workflows, partnering with IT teams to ensure interoperability, scalability and compliance with enterprise standards.

Innovation & AI-Driven Capabilities

• Design, develop, and deploy predictive, classification, and anomaly detection models using Azure ML and Databricks.

• Experiment with and implement large language model (LLM) solutions for business use cases ensuring scalability, performance and compliance.

• Develop conversational agents, Retrieval-Augmented Generation (RAG) workflows, and summarization services for internal business use cases.

• Ensure prompt engineering and model fine-tuning adhere to AI governance principles, emphasizing data security and compliance.

• Integrate prebuilt Azure AI capabilities with custom ML models to achieve high-value outcomes for business stakeholders.

Monitoring & Continuous Improvement

• Implement end-to-end AI pipelines covering data ingestion, model training, deployment and monitoring.

• Establish and maintain MLOps pipelines and automation frameworks for model deployment.

• Containerize and deploy models using Azure ML endpoints or Azure Kubernetes Service (AKS) and set up CI/CD pipelines via Azure DevOps or GitHub Actions for automated retraining and deployment.

• Implement monitoring tools to track model drift, performance, and data quality.

• Participate in knowledge sharing, code reviews, and troubleshooting sessions to ensure continuous improvement and alignment with enterprise standards.

Minimum Requirements

• Bachelor’s degree in computer science, Engineering, or a related field

• 6+ years of hands-on experience in AI/ML engineering or data science, covering the full solution lifecycle from data preparation to production.

• Experience in deploying AI & ML solutions on Microsoft Azure (Azure ML, Databricks, Cognitive Services, OpenAI).

• Proficiency in Python (pandas, scikit-learn, TensorFlow or PyTorch).

• Familiarity with Azure Data Factory, Azure Data Lake, and Synapse Analytics.

• Practical experience implementing LLM-based solutions (e.g. conversational agents, RAG workflows) and integrating AI models into enterprise applications.

• Strong understanding of MLOps practices, including model versioning, monitoring and automated deployment.

• Knowledge of Responsible AI principles, data security and governance frameworks.

• Fluent in English (both written and spoken) and preferably another European language.

Preferred Qualifications

• Master’s degree in computer science, Engineering, or a related field

• Experience with Azure AI Foundry.

• Relevant certification (e.g. DP-100, Azure AI Engineer Associate (AI-102) Databricks Generative AI Engineer) considered a plus.

• Experience with LLM frameworks such as LangChain, Hugging Face or vector databases for RAG workflows.

• Strong experience with CI/CD automation, MLflow, Docker and Kubernetes (AKS).

• Strong analytical, innovative and collaborative mindset.

• Excellent communication and presentation skills, capable of explaining complex AI concepts to non-technical stakeholders.

• Demonstrated ability to mentor peers and contribute to a culture of technical excellence.

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H.B. Fuller is an Equal Employment Opportunity employer and proud to have created a collaborative culture where employees around the world are seen, heard, and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or marital status or status as a protected veteran, or any other legally protected classification.

H.B. Fuller does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with H.B. Fuller, a written service agreement must be executed by Human Resources prior to submitting any information relating to a potential candidate. Without a signed service agreement, H.B. Fuller shall not be obligated for payment of any fee or compensation.