Senior AI Engineer Job at H.B. Fuller (Mindelo, Porto)

Senior AI Engineer

H.B. Fuller

Location:
Portugal , Mindelo, Porto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

Bachelor’s degree in computer science, Engineering, or a related field
3+ 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

Nice to have:

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

Additional Information:

Job Posted:
January 09, 2026

Work Type:

Hybrid work

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